Showing posts with label healthcare IT. Show all posts
Showing posts with label healthcare IT. Show all posts

Friday, August 1, 2014

Study Finds Pediatric Telemedicine Improves Patient Outcomes

Study Finds Pediatric Telemedicine Improves Patient Outcomes   Study Pediatric Telemedicine Following a comprehensive study of 1,000 pediatric telemedicine consultations available throughout Latin America, researchers at Children’s Hospital of Pittsburgh discovered physicians there were highly satisfied with the services and believed they had improved patient outcomes.
The study, covered in Healthcare IT News, showcased Children’s multi-center experience in telemedicine at three hospitals in Colombia and one in Mexico from July 2011 to June 2013.
Children’s physicians provided 1,040 consultations for 476 patients, with a real-time intervention taking place in 23% of those encounters. In 6% of the tele-consultations, a different diagnosis was suggested based on the interpretation of cardiac or imaging studies.
Relevant patient data was provided in a secure database and telemedicine hardware was used for real-time consultations.
We’re told that a CICU physician from Children’s participated in all encounters.
Based on anonymous surveys of physicians participating at the international centers, 96% of respondents reported being satisfied or highly satisfied with the telemedicine service, while 58% rated the promptness and time dedicated by the tele-intensivists as very high. Physicians reported that they sometimes changed their clinical practice in relation to the telemedicine encounters, with changes in surgical management noted most frequently.
“Now we know that the physicians we assist internationally consider this technology to be useful for patient outcomes and education. We will continue to expand access to the world’s best healthcare for children around the world,” said lead investigator Ricardo A. Muñoz, M.D.

The study is available for review here.

Monday, March 3, 2014

Malcolm Gladwell Keynotes Healthcare Data Interoperability Summit

The global narrative for “digital health” is relatively easy because the opportunities are so enormous. The only real limit is our imagination. Some of the more recent developments have been breathtaking – and include everything from genomics and personalized medicine to 3-D printing to putting healthcare literally in the palm of our hands (or the embedded sensors we will all wear or consume). At the core of it all is a single strategic component – data.
But the challenges are equally enormous – and nowhere is that more evident than data interoperability. This key alignment is at the heart of enormous (often competing) financial interests, true patient engagement and the health (both financial and clinical) of nations – including our own. The lack of this alignment is more than just inconvenient because it often results in gross inefficiencies, fraud, misaligned incentives and errors – all of which result in outcomes that are more expensive and less than desirable (including death).
There were a fair number of healthcare events last month including the largest healthcare IT event of the year – HIMSS. Now in its 53rd year, HIMSS attendance is nearing 40,000 with about 1,000 vendors and hundreds of educational tracks – all of which descended on Orlando, Florida for the better part of last week. As the CEO of Aetna Aetna, Mark Bertolini’s keynote stood out (here) and Hillary Clinton was standing room only.
But HIMSS wasn’t the only significant event last month. There was a second, smaller event that took place in the nation’s O.R. of healthcare policy – Washington, D.C.
Sponsored by West Health Institute (previous coverage by Forbes colleague Zina Moukheiber here), the daylong event – Health Care Innovation Day – was notable for three reasons. First, it had a singular focus on healthcare data interoperability; second because it was co-sponsored by the Office of the National Coordinator (ONC); and third because it included a compelling keynote by master storyteller and serial-bestselling author Malcolm Gladwell.
MG2
Gladwell’s latest book – David and Goliath – is the biblical metaphor for many modern endeavors and industries – including, of course, healthcare. In fact, the event itself was a kind of David in the shadows of the HIMSS Goliath.
Gladwell’s healthcare credentials are often overlooked but he did reference them in his opening remarks. From 1987 to 1996 he covered the healthcare industry for the Washington Post and so he openly wondered what his coverage would have been in his former capacity.
He often generates controversy, but whatever else, he is a master storyteller and there were three compelling vignettes for this keynote. They weren’t cut from healthcare cloth, but an opening line helped to frame their relevance.
But I’m only going to spend a little time talking about healthcare proper – both because I think  it’s often more useful to approach some of these issues from an angle by looking at the world outside of the one you’re engaged in – and secondly because I have a rule that I never talk about something my audience knows more about than I do. Malcolm Gladwell – Author
It’s that skewed angle – punctuated with relevant stories – as told by a master storyteller – that really puts Gladwell at the forefront as a speaker. Relative to data interoperability, Gladwell recounted the stories to help “reframe” the data interoperability dialog that continues to gridlock much of the healthcare industry – and the promise of digital health.
The first was The Beqaa Valley Turkey Shoot in reference to the rapid defeat of Syria by Israeli air supremacy in 1982. The swift and decisive victory was orchestrated by bringing different technologies together in a new and far more integrated way.
Using drones, AWAC’s and laser-guided missiles, the Israeli’s were among the first to carefully orchestrate their coordinated use in real time. The Israeli’s didn’t invent any of the component technologies, but they “integrated” their use in a new way that revolutionized military strategy with an exponentially lethal capacity.
The second story was The Shipping Container and recounted the story of Malcolm McLean – who revolutionized the shipping industry. He didn’t invent the shipping container, but he re-framed the problem in a way that transformed both domestic and international shipping.
By standardizing all of the components (containers, trucks, trailers, railways, docks, cranes and ships) in a new way (Lego at an industrialized scale), he effectively reduced the cost of loading and unloading from $5.50 a ton to $0.15 a ton. From his recognition that the problem required a broader systemic solution (not a component solution in isolation), domestic and international trade mushroomed exponentially.
The third story was The MP3 Player and how digitizing music revolutionized every aspect of the music industry. The effect of digitizing music was to make it interchangeable and interoperable. Almost overnight, music was transformed from being an album and episodic experience into one of personal and continuous use. Individual devices like record, cassette and CD “players” artificially constrained the way music was consumed.
Music stores, a dominate part of the retail landscape (and music experience) disappeared entirely within about 5 years. By un-tethering music from a rigid distribution model around proprietary formats, music enjoyment and sales exploded. From 2000 to 2010, growth in live performances and album sales both tripled.
In all three cases, it’s the combined interoperability that has the truly disruptive and exponential effect. The underlying component technology isn’t always a new invention  or exponentially disruptive.
“Sometimes when we look at innovation we make the mistake of thinking that innovation is specific to an individual invention or device. But all of those [individual] views miss the greatest transformation that’s brought about by technology – and that’s when you bring these various pieces and have them work together in combination – it’s the synergies between these tools that bring about the greatest changes in the world that we live in. You are on to something very crucial here – and I wish you all the best.” Malcolm Gladwell – Author
The urgent need for interoperability in healthcare is well understood. It could well be that interoperability isn’t the biggest problem in healthcare today  it’s just the first.
The HCI-DC conference was really designed to emphasize and accelerate the much needed national dialogue on driving medical interoperability to enable a smarter healthcare system across all the different interests. Ultimately, we’re all patients and we all deserve better care than the chaotic, proprietary and unconnected system we experience today. Together, we are working with key stakeholders to transform healthcare delivery in this country to make high-quality healthcare more accessible at a lower cost.” Nick Valeriani – CEO, Gary and Mary West Health Institute
The archived content for the day long event Sponsored by West Health and ONC (including Gladwell’s keynote) is now available in it’s entirety online (free but registration required) here.

Wednesday, February 12, 2014

Telemedicine Bolsters ICU Care In Rural Maryland Hospitals

FEB 12, 2014
This story was produced in collaboration with 
An intensive care unit nurse in a small-town hospital on Maryland’s scenic Eastern Shore suspected that a patient had necrotizing fasciitis, the so-called “flesh-eating” disease.
The condition is rare. Even experienced intensive care doctors seldom see it, and, since it was nighttime, no such physician was in the ICU. Pinning down the diagnosis was critical—and in this case Berlin, Md.’s Atlantic General Hospital had back-up.
Doctor Marc T. Zubrow, medical director at the University of Maryland Medical System's eCare, says he can use a bank of monitors to care for up to 100 patients in eight different hospitals all over the state of Maryland. Patients can be visually monitored and their lab tests and medical information are contained on the screens (Photo by Barbara Haddock Taylor/Baltimore Sun).
A critical care doctor 125 miles away was monitoring the patient’s health via voice, video and high-speed data lines constantly streaming information about vital signs, medications, test results and X-rays, a telemedicine service known as Maryland eCare. The physician quickly verified that the patient had the deadly infection and arranged immediate transfer to another hospital with a surgeon who could remove the infected tissue.
Atlantic General is one of Maryland eCare’s six original community hospital clients, which have a total of 72 ICU beds. By the end of the year, the program will go live in three more Eastern Shore hospitals, adding 18 more ICU beds.
Studies have shown that patients do better and leave sooner from ICUs managed by intensivists, another term for critical care doctors. But intensivists are in short supply nationwide, and small community hospitals like Atlantic General have a difficult time recruiting and retaining them, let alone paying their salaries. Connecting intensivists to small ICUs via telemedicine, proponents say, is the next best thing to hiring them.
Telemedicine, the exchange of medical information between sites via electronic communications, is being used not only by ICUs but also by other hospital departments, home health agencies and private doctors’ offices. But skeptics suggest that small ICUs might be able to improve care with less expensive measures. Telemedicine now costs hospitals roughly $40,000 to $50,000 a year for each covered bed. Initially, adaptation of telemedicine in ICUs nationwide was rapid, but a new study suggests it is slowing.
One of Maryland eCare’s 20 intensivists monitors ICU patients from 7 p.m. to 7 a.m. weeknights and for 24 hours on Saturdays and Sundays.  They’re stationed at computers in Maryland eCare’s COR—Central Operations Room—which last year moved from the Christiana Care Health System in Wilmington, Del., to the University of Maryland Medical Center in Baltimore. On weekdays, when the hospitals’ critical care doctors are at work, eCare critical care nurses staff the COR computers.
Physicians and nurses at the University of Maryland can monitor ICU patients using voice, video and high-speed data lines that constantly stream information about their vital signs using a telemedicine service known as Maryland eCare (Photo by Barbara Haddock Taylor/Baltimore Sun).
Critical care specialist Atif Zeeshan and another intensivist work in Atlantic General’s ICU from 7 a.m. to 7 p.m. on alternating weeks, and they’re on call 24/7. Zeehan said he was at first leery of telemedicine. Four years after his eight-bed ICU hooked up with Maryland eCare, Zeehan is a believer. “There have been cases where lives were saved with eCare intervention,” he says. 
Maryland eCare was established with a $3 million grant from CareFirst BlueCross BlueShield, which helped cover capital expenses, such as computer and video connections. Participating hospitals pay Maryland eCare an annual fee for each ICU bed. Other eCare clients are Peninsula Regional Medical Center in Salisbury, Union Hospital in Elkton, Meritus Medical Center in Hagerstown, Calvert Memorial Hospital in Prince Frederick and MedStar St. Mary’s Hospital in Leonardtown.
Zeeshan’s initial skepticism isn’t unusual. “Nobody wants to be dictated to,” acknowledges Marc Zubrow, a critical care and lung specialist and eCare Maryland’s medical director. “An absolutely huge part of my job,” says Zubrow, is to “convince the local medical community that this will not negatively impact patient care and might possibly improve patient care.”
Hospital representatives routinely visit the Baltimore COR, and Zubrow and members of his team regularly visit the community hospitals and “get very close with the local bedside people.”
And sometimes to patients’ families.  Zubrow shared an eCare doctor’s notes about an interaction with a patient’s daughter (stripped of information that could identify the patient). The woman, who’d flown in to be at her critically ill mother’s bedside, arrived  around 3 a.m. and spent a few minutes video-chatting with the eCare intensivist on duty.
“I told her that nothing we do medically is going to improve her mother’s condition or meaningfully prolong her life,” according to the doctor’s notes. “I urged her to allow us to focus on treating her mother’s pain and suffering…I offered my support and told her I would speak with her again at any point tonight.”
Community hospitals say telemedicine helps critically ill patients be treated close to home and family. Even with extra oversight, however, these hospitals are still not equipped to care for all critically ill patients, so telemedicine intensivists help them decide which patients should be transferred.
Telemedicine has helped improve the care of ICU patients says registered nurse Anne Lockhart, who directs the unit at Calvert Memorial. Lockhart says that includes a reduction in the number of patients contracting pneumonia as a result of being on a ventilator.
Since implementing telemedicine, “we dramatically reduced our ICU mortality rate,” says Ed Grogan, vice president of information services and chief information officer at Calvert Memorial.
But Jeremy Kahn is skeptical. An associate professor of critical care, medicine and health policy at the University of Pittsburgh, he says assessing telemedicine’s effectiveness in the ICU is tricky. Comparing mortality rates before and after implementation of telemedicine doesn’t account for the fact that “outcomes in the ICU get better over time, no matter what,” Kahn says.
A better comparison would be to other, less-expensive, measures, such as using more non-physician providers—physician assistants and nurse practitioners—at ICU patients’ bedsides, Kahn said.
While Maryland eCare is adding hospitals, Kahn says adoption of telemedicine in ICUs nationwide is slowing. In a study published online in October by Critical Care Medicine, Kahn and his colleagues found that the number of U.S. hospitals using telemedicine in ICUs increased from 16, or 0.4 percent, in 2003, to 213, or 4.6 percent, in 2010, with usage doubling in the first four years but dropping to average growth of 8.1 percent in the last four.
 “In an era of cost constraints, I feel we need to be simultaneously exploring cheaper ways to get the same outcome,” Kahn says. “That’s not to say we should not explore telemedicine.”

Wednesday, October 2, 2013

ICD-10 Feature Story: Ticking Time Clock-or Bomb?

When it comes to ICD-10, Children's Hospital Colorado is about as well-positioned as any major health system can be in transitioning to the International Classification of Diseases and Related Health Problems - 10th revision, set to take effect by federal fiat on Oct.1, 2014.
Faced with a major challenge to both its clinical documentation and its revenue cycle, Children's Hospital's ICD-10 transition team-led by a group of four senior level executives at the top of the organization-has been hard at work for over two years. The Aurora-based pediatric hospital has hit important milestones such as completing its information systems impact assessment and establishing the remediation timeframe among key software vendors. It's now tackling clinical documentation improvements among physicians, implementing computer-assisted coding staff, training its coding staff, and discussing testing scenarios with some of its commercial payers, says Melinda Patten, director of health information management and one of the effort's executive sponsors. (The others include the CEO, CIO and CMO.)
That's why, come October of next year, Patten feels comfortable that the hospital will be where it should-at least internally. "We'll have our documentation in a good place and have the specificity we need," she says. "We will have our physicians and coders trained; we'll code in 10 and then drop the bill. But after that, we lose control. Payers say they'll be ready, but that is the unknown."
In an industry which has endured multiple delays of ICD-10 (after major industry resistance, the Centers for Medicare and Medicaid Services most recently postponed the go-live date from 2013 to 2014), Patten has plenty of company in pondering the many questions.
Many describe ICD-10 as the mother of all information systems and operational challenges. That's partly because the codes figure directly in reimbursement-a long and winding food chain linking providers, clearinghouses and payers. Get it wrong and the worst-case scenario is that revenue grinds to a halt. But there's more at stake than I.T. remediation and interfaces. Getting the codes right in the first place requires ever-more detailed documentation on the part of the medical staff, a group already beleaguered with meaningful use reporting requirements. Even if documentation is precise and notes, for example, such minutiae as which side of which finger was the subject of a skin biopsy, it will fall on the shoulders of coders to pick the best code. They can choose from among the tens of thousands of available new codes, (which are structured in very different way than predecessor ICD-9, the industry's longstanding coding and classification system).
Experts concur that because ICD-10 reaches virtually every nook and cranny of the modern health care organization, its implementation needs the sponsorship - and budget - that only top executives can deliver. Even with that, industry progress on the transition is mixed at best. Among group practices, which lack the resources of larger health systems, the transition is well behind schedule, according to multiple industry watchdogs and associations. Even for those organizations that had set out to meet the 2013 go-live date, there are far more questions than answers.
Here are some common concerns: Coder productivity, physician overload, insurers' payment plans, transition costs, cash flow impact, and perhaps biggest of all, trading partner testing.
Given the scope of an ICD-10 transition, the industry overall is struggling to stay on target with the many steps required to be prepared. Industry surveys, from such groups as WEDI and the Medical Group Management Association, reveal that large portions of the industry are behind schedule, at least when compared with widely recommended timeframes.
Bob Schywn, a principal at Aspen Advisors, a consulting group which is participating at several ICD-10 transition efforts on the hospital side of the industry, describes the effort needed as exhaustive and all-encompassing.
"It's surprising that we are still hearing from large health care organizations that they are just getting started to understand what ICD-10 is all about," he says. "That's concerning because there is a fair amount of work. If you are not knee deep in it by now and don't understand the risks, the last year will be fairly hairy for you."
Schwyn says the biggest challenge is getting organizations to understand ICD-10's vast impact. "It impacts health information management directly and there often is a coding focus," he says. "There are also implications downstream for finance and for claims. I.T. has a supporting role across the different work streams. But on the front end, clinical documentation is a huge driver."
All hands on deck
The consultant adds that a successful transition effort must be orchestrated by a multi-disciplinary group with stakeholders across I.T., finance and the compliance departments. "There will be a lot of scrambling to get this right," he predicts. A complicating factor is the large number of other industry initiatives underway at the same time. "At the same time you are doing ICD-10, you have a focus on meaningful use, value-based payments and health reform, all driving the need for additional data specificity. It is a perfect storm."
Novant Health is one organization trying to stay ahead of the ICD-10 curve. Based in Winston-Salem, N.C., the 13-hospital health system spans a three-state service area and has a payer mix which varies widely by region. Novant began its ICD-10 work in earnest in early 2010, establishing an executive sponsorship group with the CEO, CMO, CFO and CIO among the members. Laura Pait, senior director, HIM and revenue cycle services, represents the hospital as co-chair of an enterprise project management group. Her physician counterpart represents the ambulatory side of Novant. The government's decision to postpone its 2013 deadline was a mixed blessing for Novant, which had set out to meet it. "We had to re-engage the team," Pait said.
Novant's four main workgroups report up to Pait and her co-chair. These include: 1) an education and training group that oversees work not only for the coding crew, but multiple other business owners also affected by ICD-10; 2) a financial impact group, which is analyzing likely service line reimbursement shortfalls; 3) clinical services, which focuses on documentation by physicians, both employed and community-based; and 4) technology, whose task is to "ensure all systems and apps are cued up," Pait says.
The I.T. effort alone is so big it sports its own project management office to keep things on track. To complicate matters, Novant will be standardizing on a common EHR from Epic during the next three years, Pait says. Novant began the Epic project with its ambulatory practices first and those will be complete this year, meaning all physicians will be on a common platform. "That's the good news," she says. "We had 10 different physician EHRs before. But the hospitals face a major, complex web."
The hospital transition to Epic will commence October 2013 and by the time the 2014 deadline rolls around, about half of them will be live on Epic, with the remainder still operating on three different legacy systems. Beyond these core hospital information systems, Novant has identified approximately 60 other bolt-on applications that will also require ICD-10 upgrades. "We have a confidence level of 80 percent that all our system vendors will be ready," she says.
Run silent, run deep
Despite the many moving parts, Pait thinks that Novant will "be as ready as we can be" by October 2014. "We have the senior leadership's support," she emphasizes. But even so, there are aspects of internal preparation that concern her. "My biggest concern is the 'silent pockets,' areas where business owners have not realized that ICD-10 touches them. It's easy to talk about coders and physicians. But we may have bolt-on applications to help with such things as strategic planning and I'm not sure these owners are aware. Even with all the distractions of the Epic go-live, we are trying to make ICD-10 an equal conversation."
Children's Hospital Colorado also faces a large number of silent pockets. According to Patten, the health system inventoried about 4,000 systems, applications and stand-alone databases when it launched its ICD-10 transition in 2010. Although it will wind up remediating about 100 of these through its enterprise corporate governance effort, the health system must still educate the business owners of the remaining systems about the need to analyze their longevity under ICD-10.
At its affiliated school of medicine, for example, many physicians maintain independent databases as part of research projects. Novant's Pait points out that independent analytics databases housing ICD-9 data will somehow need to be cross-walked to ICD-10 when they begin accepting data from the new code set. "That is why education and training are so huge."
The scope of the ICD-10 transition accounts for many organizations' delays in preparing, no doubt. But the mixed progress in moving to the new code set extends far and wide. For their part, payers must be ready to accept ICD-10 claims as well. That leaves claims clearinghouses stuck in the middle between providers and payers. And some clearinghouses wondering what will happen on October 1, 2014.
"We are seeing delays on the payer side and we are not getting a lot of feedback from them on their testing plans," says Jackie Griffin, director of client services at Gateway EDI, a clearinghouse which processes some 25 million claims a month, facilitating data exchange between some 200,000 providers and 3,000 payers. While larger payers have been reaching out to Gateway - which began conducting readiness surveys earlier this year - the plans of many payers, frets Griffin, "are very vague."
She paints an even more checkered portrait of group practices' preparations. "Small practices are not thinking about ICD-10 yet. Many of them expect another federal delay, even though CMS has said repeatedly there will be none."
Griffin's contention about small group practice procrastination is upheld by survey data from the Medical Group Management Association. Its 23,000 group practice manager members span some 13,000 practices with 280,000 physicians, "from the very small to the largest multi-specialty groups in the nation" says Robert Tennant, senior policy advisor. MGMA released a survey in June showing widespread delays in moving to ICD-10. Just over half have not even started the work, Tennant says, with "significant progress" being reported by under 5%. About one-third report they are "somewhat done."
Practices facing ICD-10 must contend with an expensive transition, Tennant says. "About 30 percent will have their upgrades covered with their maintenance agreements," Tennant says. "Among the others, the cost will be about $10,000 per physician for both the practice management system and EHR." Thus, a 10-physician practice is looking at a potential outlay of $200,000 to remediate the two systems, he adds. "That is a heavy lift for the practices," he says.
Even among group practices in transition mode, doubts remain about trading partner readiness. Among those surveyed, 60 percent say they have heard nothing from their clearinghouses about ICD-10 and 70 percent are in the dark with their payers. "These are the critical trading partners that need to be aggressively communicating their transition plans," he says.
Inquiring minds
Tennant's questions are being raised across the industry. For Pait at Novant Health, payer preparation and payment policy lurk as large unknowns. The health system is adding a fifth workgroup to its enterprise effort, dedicated to denials management. "We are expecting an increase in both physician and hospital denials," she says. Expecting to gear up about three months prior to the October 2014 ICD-10 go live, the group will monitor both pre-billing edits before claims go out the door and then later denials as they hit the payer. "We will have to distinguish between technology issues and coding accuracy issues," Pait says, meaning that some claims may be held up as the result of improper interfaces and data transactions, while others may make it through the clearinghouse to the payer, only to be kicked back during adjudication as the result of improper coding or inadequate documentation. "We will have to break it down fast, so our recovery efforts can be shared and we are not taking corrective action six months after the claim comes back."
The claims edit piece is a bit of a Catch-22 for Novant. Before it can tweak its own software to accommodate payer edits around medical necessity, Novant needs to know payer policies. "We have not gotten that far and payers have not gotten that far," she says. Meanwhile, Novant's payer contracts management staff are beginning outreach to its trading partners to set the stage to receive payment policies and related efforts. Those conversations will accelerate in the first quarter of 2014, according to Novant's timetable.
Denials management is also front and center at New York's Mount Sinai Health System, which maintains about 1,200 beds across two hospitals and is set to expand later this year when it merges with Continuum Health Partners. Mount Sinai began its ICD-10 work in 2011 then, a year later, established a cluster of six workgroups devoted to managing different aspects of the effort. Mount Sinai will upgrade nearly 50 information systems, says Julio Arniella, senior director of patient financial systems. "Anything that touches, looks at, or moves an ICD code has to be upgraded." Arniella serves on the denial management team with some 20 other staff.
The denials management group has assisted in determining which service lines are most likely to be at risk under ICD-10. It is beginning with an analysis of denials under the current ICD-9 set-up to identify which types of claims will call for increased attention under ICD-10. A contract management group which negotiates with payers is examining forthcoming changes in payer DRG set-ups and corresponding policy changes.
In New York, three DRG groupers are in play among the various payers, one of which, AP-DRGs (all payer), is not compatible with ICD-10 and is being sunsetted. "We are working with the payers to see if they are willing to do claims testing and neutrality testing."
"Claims testing" is submitting claims to the payer to see if they clear technical hurdles. "Neutrality testing" involves actually remediating an ICD-10 claim to compare its reimbursement with an ICD-9 counterpart. Mount Sinai has not yet begun either type of payer testing, but like most health systems, it works with a large diverse payer mix. "We are about 20 percent Medicare, 20 percent Medicaid, with the rest going to commercial plans and some self-pay patients," Arniella says.
Coder conundrum
A short-term concern around ICD-10 is coder productivity. For Meg McGill at Memphis-based Methodist Hospital, the impact will be enormous, reverberating all the way to AR. "We have been using ICD-9 for a long time," says McGill, corporate administrative director of HIM at the eight-hospital, 1,600-bed health system. She's a member of Methodist's ICD-10 steering committee, which includes representation from allied health, home health, ambulatory surgery centers, physicians, I.T., coding and patient financial services. Asked where ICD-10 delivers the biggest impact, McGill doesn't hesitate: "There will be a big impact on coders. It will be a huge learning curve and it will affect physician documentation. If the information is not in the chart to code, we will query the physicians for additional specificity. Coders will not be as productive. And the slower I am in coding, the slower the bills go out."
To soften the blow, Methodist is partnering with a software vendor, IOD, to develop a coding training tool. For its part, Methodist has provided some 1,000 de-identified charts to use in the training tool. "It will be a coding training tool with actual medical records instead of case studies," she says. "Trainees will code a chart in ICD-10 and the system will them if they got it right. If they got it wrong, the tool takes you directly to the chart and if you need more information, it will take you to the training tool where the idea is discussed."
Rather than take a scattered approach to the vast universe of ICD-10 codes, Methodist is focusing on its top DRG payment groups and high-volume procedures, McGill says. A separate clinical documentation group is analyzing physician documentation to identify likely gaps. But even if Methodist knows which areas of ICD-10 to focus on, the load on coders will be big, perhaps too big, McGill says.
"I am worried about the amount of change our coding staff can take," she says. "Several have already retired, rather than go through ICD-10. These are not clinically trained people." That's why, in addition to offering coding training, the health system is providing training to coders in anatomy and physiology, medical terminology and pharmacology, content areas which often remain outside the skill set of coding staff.
At its core, ICD-10 is little more than a regulatory mandate-one among many in play in the health care industry. Groups like the American Health Information Management Association have long championed the system for the increased specificity it offers in describing healthcare events. Not only that, ICD-10 includes a multitude of newer procedures and better reflects the complexity of diagnostic analysis, champions say.
But others in the industry - notably physician organizations like the American Medical Association and MGMA - have a more jaundiced view. "The government has not made a compelling argument for the return on investment of ICD-10," asserts MGMA's Tennant. "It will be extremely costly for practices."
Tennant notes that groups like his and the American Medical Association have not resisted ICD-10 because of any inherent problems in the code set. "It's a superior code set," he says. The resistance, he argues, stems from the implementation challenges. ICD-10 proponents cite the fact that the United States is the last major nation to move to the classification system.
But Tenant dismisses that idea as a "complete falsehood," noting that other countries adopting ICD-10 did so with a far more limited version of the coding system and that national governments helped defray the cost. "Here it is all on the backs of providers," says Tennant.
For Tennant, however, the bottom line is indeed the bottom line. "The most worrisome aspect is reimbursement," he says.
That's one reason Tennant reserves his strongest criticism of CMS for its decision to side-step any transactions testing. (CMS declined to comment for this story.) The agency announced the policy decision earlier this year. "What message does CMS send by saying we will flip the switch on October 1, 2014 and hope everything goes well?" he asks. "That is highly unlikely," particularly given the industry's transition to 5010, the technical claims format predecessor to ICD-10, which went into in effect in 2012.
Asked his opinion of the CMS testing announcement, Schwyn, the consultant, says "CMS is a little short-sighted. Most organizations are thoroughly engaged in preparing their own environments. But the challenge is full end-to-end testing with payers."
Arniella, at Mount Sinai, is even more blunt. "For us to feel comfortable next year, I want to submit my claims to Medicare. Until you test with specific payers - and Medicare is 20 percent of our business - you don't know what will pop up."
Providers Plan Dual Coding
Melinda Patten is keenly aware of the ICD-10 deadline, quickly citing the exact number of days to the October 1, 2014 deadline from CMS. Patten is director of Health Information Management at Children's Hospital Colorado, a 536-bed facility with 2000 medical staff. She serves on the hospital's ICD-10 project management team with a focus on coding. The hospital is currently implementing computer-assisted coding software from Optum that will use natural language processing to help coders analyze charts and make suggestions about appropriate diagnoses and procedures based on physician documentation. The software currently directs coders to ICD-9 codes, but will support ICD-10, she says.
Patten is leaning on an outside firm, the Haugen Group, to assist in training the coders. And the hospital is looking to get ahead of the curve by doing "dual coding," a strategy that some hospitals are beginning to adopt as they stare down the code proliferation of ICD-10. Children's, Haugen explains, will begin the dual coding in October 2013 with a select group of coders. They will also code charts in ICD-9, which will appear on claims generated from those charts, and add corresponding ICD-10 codes, creating databases of services against which the hospital can analyze coding quality.
Novant Health, a 13-hospital delivery system based in Winston-Salem, N.C., is taking a similar approach, says Laura Pait, senior director, Health Information Management. Beginning in January, 2014, Novant will begin a dual coding effort across its hospitals-which will be mid-way through through an enterprise deployment of a new EHR from Epic. Novant uses coding software from 3M, and the system can retain two sets of codes, Pait says.
While bills will go out in ICD-9, the dual coding effort will facilate efforts to audit coder progress in learning the new system. In addition, the retained database of ICD-10 coded charts can serve as fodder for future tests with payers, Pait adds. Novant is talking with one of its big payers, Aetna, which would like to run transaction tests in the future. "When they're ready to test, they can pull straight from the retained data," she says.
Insights from 5010
Beginning Jan. 1, 2012, the 5010 claims format presumably went into effect in the industry. The ANSI transaction standard enhanced certain claims-related transactions, such as eligibility inquiries and remittance advice. It also set the stage for ICD-10 by expanding the data fields for ICD-10. But well past one year after the deadline, useage of the 5010 format is still lurching forward, causing many to wonder about the long-term success of ICD-10. The reasoning is simple: 4010 can't accommodate an ICD-10 data field; thus no payer can accept it.
Gateway EDI, a claims clearinghouse which processes some 25 million claims a month, still receives 4010 files, says Jackie Griffin, director of client services. Many of them come as a print image file, which the clearinghouse can scan and map to an appropriate 5010 data field. Part of the issue is that practice management system vendors, whose software inaugurates the claims transaction, have not yet updated their systems. "A lot of vendors still in 4010 are upgrading to 5010 as part of their ICD-10 effort," she says.
Gateway dispatches claims to nearly 3,000 payers, the vast majority of which accept 5010 transactions, she adds. But a number of low-volume payers-perhaps some 300, she estimates-are still on 4010. Gateway played a big role in helping its provider trading partners transition to 5010. "It was 80 percent technical and 20% provider," she says. "ICD-10 is the opposite. It's 80 percent provider." Clearinghouses are electronic data exchange facilitators, and it would fall on the providers' shoulders to submit the correct claim in the correct format in the first place.

Thursday, August 8, 2013

HOW BIG DATA CONCEALS THE NEXT BIG THING


A highly anticipated drug trial fails to produce the desired results, costing a pharmaceutical company $500 million and 10 years of wasted research.

An energy company finds out too late that several major drilling bets are coming up dry, forcing them to take a $2 billion write-off.

Investigators follow leads for years to uncover a planned terrorist attack on a major city, only to make the fatal error in determining the location.
The pressure to discover breakthroughs is tremendous. In large organizations, it is often the difference between market success and market exit. Today, organizations need to deliver solid results within shorter innovation cycles. Research groups need to show a return on strategic investments. This “need for speed” heaps greater risk on an already risk-laden process and can sometimes make misleading discoveries look like real ones. Luck may shine once in a blue moon to produce an accidental discovery like Herceptin, but all too often misinterpretations can lead to disaster.
The intense pressure to uncover the “Next Big Thing” is our collective reality and it’s here to stay. That has led businesses and government agencies to ramp up Big Data efforts--a Gold Rush of sorts--to compile the richest and most comprehensive treasure troves of data they can to help make the best decisions possible. With greater computing power and collection technology, we now have vast datasets that hold the promise to solve some of our most challenging problems.

BULLWHIP-LASH

Few if any big decisions today are as simple as A v. B nor are the relative opportunity costs clear. Decisions related to drug discovery, energy exploration, fraud detection, and other critical problems can generate a variety of impacts downstream. And today misinformed decisions can cause a company more damage, faster than ever before.
This reality recalls the “Bullwhip Effect,” a concept popularized by Stanford University Professor Hau Lee to describe the oscillating effects caused by incorrect signal data in forecast-driven supply chains. When a person cracks a bullwhip, the small movements at the wrist produce huge waves at the other end of the whip, which describes how information becomes exaggerated and distorted as it moves up the chain, driving up costs and hurting efficiency. Great advancements have been made over the last 30 years to help companies deal with the perils of the Bullwhip Effect.
But there are no such countermeasures to minimize the bullwhip arc if decision makers do not understand what the data is telling them. When trying to develop a new drug, prevent terrorism, or identify fraud, the inputs and attributes are far more diverse, creating a complex puzzle to distinguish leading and misleading indicators.
Despite a wealth of data, decision-making today is harder, not easier. The issue is not the size of data, but the complexity. While data-crunching tools have become faster and better able to deal with large volumes of data over the years, they still all still begin with an Analyst and a query.

WHAT WAS THE QUESTION, AGAIN?

On the surface, we seem to have everything that we need to solve these problems. We have relatively inexpensive computation. We have a burgeoning discipline of Data Scientists and Analysts to build sophisticated models. We have faster data-crunching tools than ever before. And, we have large investments earmarked for addressing expensive problems. So why is this still so hard?
Put simply, while IBM’s Watson kills at Jeopardy, we are still confounded by the Jeopardy issue: What is the right question to ask? Every Big Data exploration starts with human assumptions and biases that amount to an educated guess in the form of a query.
With more larger and complex datasets, it is simply too difficult for the brain to the make connections that lead to making the optimal query. Instead, we spend months or years building models that examine only slices of the data, a highly unlikely path to uncovering critical discoveries or actionable insights. When it looks like we’re failing, we pile more humans on the problem. The simple truth is that--with the exponential growth of data--we’ll never have enough trained talent, or enough time to write all of the possible queries, to find the answers that we’re all looking for.

STRIKE A NEW BALANCE BETWEEN HUMAN AND MACHINE

The complexity of today’s data sets--and so many investments in flawed insights--has forced decision makers to question the methods that they use for analysis. Just as in the case of the Bullwhip Effect, research teams need to go back to the start, to fix the fundamental problem that generates sub-optimal or just plain bad decisions.
In the world of Big Data, there is a wide spectrum of interplay between the human brain and machine learning systems. Think of it like a slider. Right now, our reliance on people to ask the right questions and identify the important connections between millions of data points, is too far over. Machine learning systems have made tremendous strides over the last few years and it’s time that we move that slider over and let systems do more of the heavy lifting, particularly at the beginning of the data analysis process. When presented with a holistic view of the data, Data Scientists can then examine valuable data in an agnostic manner and identify the relationships between them in a way they could not before. They can start by finding the answers to questions that they didn’t know to ask in the first place.
Let’s use both humans and machines to their best advantage. Computers do more of the computing over complex datasets and analysts do more of the analyzing. Instead of trying to ask the right question, we let those who best understand the problem--biologists researching cancers, geologists searching for energy sources, intelligence officers working to prevent terrorist attacks and other domain experts--find the right insight that inform sound investments to catalyze growth and save lives. After all, isn’t this the true promise of Big Data that we all dream of?
--Gurjeet Singh is cofounder and CEO of Ayasdi, an enterprise software company specializing in big data analytics. Follow them on Twitter at @ayasdi.
[Image: Flickr user Tausend und eins, fotografik]

Saturday, June 15, 2013

Is big data the new oil?

June 12, 2013 | Tom Sullivan, Editor









Paul Lambert, president emeritus, Point B, Inc. speaking at the Government Health IT Conference
“This is a story about oil and data,” Paul Lambert, president emeritus of Point B Inc., began, “two resources basically useless in their raw state but that can be very valuable when refined.”
Data has striking similarities to oil, namely in how you store it, transform it, make sure to use it in the right way, Lambert continued during a session at the Government Health IT Conference and Exhibition on Tuesday afternoon.
“Healthcare in general really needs this tool,” he added. And as industry moves from the current five zetabytes (one zetabyte is a billion petabytes) to an order of magnitude, and beyond. “There seems to be a lot of convergence on what we need do to but not a lot on how. We’re seeing a lot on the e-commerce side, but there’s not a lot of big data going on in healthcare.” 
And while common pitfalls include adoption, psychological, and technology barriers, Lambert said “we’re seeing a lot of venture investment in patient engagement, and that’s the absolute first step in putting data to work for the healthcare industry...The second step is data liquidity – both transparency and the interoperability of it.”
Though few and far between, early examples of what Lambert called “quasi-Big Data” in healthcare include evidence-based medicine on real-world validation of research, predictive analytics like Kaiser’s Healthconnect, which saved it a cool $1 billion by reducing visits via telemedicine and a trend similar to the law enforcement practice known as hotspotting. In hotspotting, police departments use data to look at high crime areas and focus resources accordingly on those — some healthcare organizations are delving into correlations in environment, behavior or patient history for population health management purposes.
An oncologist in attendance continued the analogy by saying that unlike a farmer sitting on an oil field, he really wants to share his data and, likewise, many of his cancer patients would be happy to contribute if it helps other people with cancer, but industry has not stepped up to the plate to make that reasonably achievable and the regulatory minefield around sharing patient data poses its own risks. In other words: He cannot even give health data away.
“There’s a buyer beware situation going on that kind of reminds me of when I got out of college,” Lambert said. “Companies were buying a lot of IBM hardware and the joke was that they’d buy a mainframe but not know what they were going to use it for.” 
Just as oil transformed our economy not so long ago, Lambert added data holds a similar promise, and getting there will be more evolution than revolution.
“The U.S. government felt so strongly that about the importance of oil that it created a strategic oil reserve,” Lambert said. “For Big Data, we should treat it as an asset that, as a country, is there for us when we need it.”

http://www.govhealthit.com/news/big-data-new-oil

Friday, June 14, 2013

GIGTANK Presents Healthcare Entrepreneur Ross Mason - 06/13/2013 - Chattanoogan.com

GIGTANK Presents Healthcare Entrepreneur Ross Mason - 06/13/2013 - Chattanoogan.com

Thursday, June 13, 2013
The Company Lab, in partnership with First Tennessee Bank, will present the first public GIGTANK event of the summer. “GIGTANK Presents: Ross Mason on Innovation, Healthcare and Chattanooga” on the evening of June 25 at the First Tennessee Bank building.  
Mr. Mason, venture philanthropist and founder of the Healthcare Institute for Neuro-Recovery and Innovation, will speak to Chattanoogans about his work in healthcare and the ongoing need for entrepreneurial thinking across the industry.
“Chattanooga is uniquely positioned to be a national and global leader in digital healthcare solutions because of the amazing investment in infrastructure and tremendous commitment to innovation the community has made,” Mr. Mason said. “The 'Gig City' can also take advantage of the market leadership of Nashville in healthcare services and Atlanta in healthcare IT to develop the digital platform that will provide the next generation of healthcare technologies, treatments and cures.”
Originally from Madison, Ga., Mr. Mason became passionate about healthcare after volunteering at an AIDS hospital in Zambia. In 2004, he founded HINRI, a venture philanthropy that provides free venture capital services to early stage nonprofits.
Mr. Mason’s commitment to healthcare innovation has been further inspired by a more personal, life-changing event: due to a biking accident in 2007, he was paralyzed from the collarbone down. Prior to his accident, Mr. Mason pursued a broad range of outdoor sports and active hobbies; that energy is now applied to identifying breakthrough healthcare solutions and improving the lives of others. 
He is particularly interested in supporting organizations that aid war veterans, including Warrior 2 Citizen, which helps assimilate veterans to civilian life. The June 25 event will focus in part on recognizing and raising funds for UTC’s Veterans Entrepreneurship Program. 
"Healthcare has an immense and growing presence in Chattanooga, and it’s highly relevant to GIGTANK 2013,” said Mike Bradshaw, CO.LAB entrepreneur-in-residence. “Two of our eight teams are developing businesses in the healthcare space, and BlueCross BlueShield of Tennessee, a program sponsor, has demonstrated a longstanding commitment to healthcare innovation. We’re excited to learn how the ideas and technologies Ross has introduced to the Georgia market could be supported by Chattanooga’s unique infrastructure.”   
To register for the event, visit http://gigtankrossmason.eventbrite.com/.

Monday, June 3, 2013

Monday, May 20, 2013

Infographic: Analytics Is the Nervous System of IT-Enabled Healthcare



New iHT2 report provides strategies for managing sophisticated analytics tools in the health care industry. 
The Institute for Health Technology Transformation (iHT2) has released their latest report entitled, “Analytics: The Nervous System of IT-Enabled Healthcare,” to help executives from hospitals, health systems, and other provider organizations identify and understand models for innovative uses of data that can enable them to reduce costs, improve gaps in care, stratify patient populations, improve quality, and provide more accessible care.
“Analytics is the backbone and the nervous system and the learning center of the health IT-enabled healthcare system,” says Jonathan Weiner, a professor of health policy and management at the Johns Hopkins Bloomberg School of Public Health and director of the university’s Center for Population Health Information Technology.
A 2011 McKinsey report estimated that the healthcare industry can potentially realize $300 billion in annual value by leveraging patient and clinical data. With healthcare providers transitioning from a volume-based to value-based reimbursement, a new healthcare delivery model is emerging. In order to succeed in this new environment, healthcare providers are:
  • Accountable care organizations forming (ACOs) to improve care coordination
  • Preparing for bundled payments  for acute and post-acute care, as well as Medicare penalties for avoidable readmissions
  • Restructuring their care delivery systems
Areas of focus the report includes are creating a nervous system and solid infrastructure foundation that leverages storage, processing, analysis, and data management to make better, evidence based business and clinical decisions.
“The healthcare industry must identify and establish proven strategies and best practices to manage data and to conduct the advanced analysis necessary to generate real insights that can benefit the health system. Those healthcare organizations focused today on gathering patient and clinical data, decoupling the data from siloed applications and solutions, and determining which data points to measure will be well positioned for the evolving future state of the healthcare landscape,” said John P. McDaniel, National Practice Leader—Provider Market at NetApp Healthcare.
The report also includes the following infographic shown below that summarizes the key findings:
Background
  • Chad Brisendine, VP & CIO, St. Luke’s Hospital and Health Network
  • Jeffrey L. Brown, CIO, Lawrence General Hospital
  • Charles DeShazer, MD, Chief Quality Officer, BayCare Health System
  • John McDaniel, National Practice Leader, US Healthcare Provider Market, NetApp
  • Jonathan Weiner, DrPH, Professor of Health Policy & Management and Health Informatics; Director Center for Population Health Information Technology, Director PhD Program in Health Services


Each year, the Institute for Health Technology Transformation (iHT²) hosts a series of events & programs which promote improvements in the quality, safety, and efficiency of healthcare through information and information technology.
Forward Schedule:
  • Health IT Summit in Fort Lauderdale - June 12-13, 2013
  • Health IT Summit in Denver - July 24-25, 2013
  • Health IT Summit in Seattle - August 21-22, 2013
  • Health IT Summit in New York - September 17-18, 2013
  • Health IT Summit in Beverly Hills - November 6-7, 2013
  • Health IT Summit in Austin - December 11-12, 2013
iHT2_Webinars
The Institute for Health Technology Transformation (iHT²) 2012-2013 Online Thought Leadership Series is comprised of 60-minute interactive, sponsored Webinars covering current issues and industry trends for healthcare IT executives.