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Will IBM Watson Repeat History?

August 15, 2018
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Recently, there have been some articles about IBM Watson and healthcare.  In particular, a blog by John Lynn speculates on the “health” of IBM Watson in healthcare.

I’ve had my own personal experiences with IBM in healthcare.  While with GE, we did a joint venture with IBM in the early days of PACS and RIS, and I was an original IBM MedSpeak/Radiology reseller in the early days of speech recognition.  In both cases, IBM did not have the financial wherewithal to play the long game in terms of the technology and exited both.

Interestingly enough, MedSpeak/Radiology was not the first foray into digital dictation for IBM, so they exited that business multiple times.  I also have to say, MedSpeak/Radiology was a pioneering technology that was very competitive.  It just wasn’t the business case the IBM management was looking for.  Similarly, IBM’s effort with GE toward RIS and PACS was naively predicated on employing IBM’s RIS product, and not on interoperability with other RIS vendors.

There are countless business examples of companies launching products based on great expectations, only to have them fail to achieve those expectations.  There are also countless examples of companies getting into products that have no relevance to existing businesses because the think they have a “better mousetrap.”  One that comes to mind is GE.  Years ago, GE developed in their research center an electric garden tractor which was very innovative for the 1970’s.  Unfortunately, when GE attempted to bring the product to market, they discovered they did not have a single market channel that addressed lawn-care equipment!  GE ended up selling it to Bolens for a fraction of the development cost.  And, in retrospect, it was premature given the current fascination with electric vehicles!

I am not implying that IBM hasn’t done its homework on IBM Watson.  I suspect it may be more of two other factors at play.  One, it’s a question of chicken and egg.  Is the advancement of Artificial Intelligence more about the application or the platform?  Secondly, does IBM have the infrastructure to succeed?  In the case of the first factor, IBM is more about the platform than the application.  In the second case, the same could be said for the platform versus the application, as IBM does not have a significantly parallel channel that would address AI applications.

I think this is why IBM initially acquired Merge Technologies, as they saw it as both a “sandbox” to learn imaging, but they may have also seen it as a potential distribution channel.  With further understanding, they were quick to learn that attempting to develop and market applications through Merge would make them a competitor to other viable players such as GE, Philips, and Siemens.  That resulted in a move to create “consortiums” that could develop applications on the IBM Watson platform, thus broadening the appeal of IBM Watson across a broader distribution channel.

The question going forward is – has IBM learned from its history of past healthcare ventures?  If IBM can make a business case for addressing Watson as the platform for AI, it might be a stronger case than trying to be the end point for AI.  This would be consistent with its strength in computational platforms in business, which have classically been a better business model than applications (OS2 or Lotus vs. Microsoft Windows and Office anybody?!). 

I recall the OS2 days versus Microsoft Windows.  As a fan of OS2, I had hoped it would succeed.  Unfortunately, as I learned, there were very few applications for OS2, which is ultimately why people purchased personal computers in the first place.  If IBM had been smart, they would have given OS2 software licenses away in an attempt to build consumer demand for the development of applications.  Unfortunately, that didn’t happen, and I doubt there are any OS2 users out there today.

If IBM can take stock of its history, there is a fighting chance for IBM Watson to be a significant factor in healthcare.  But, the company will need to learn how best to foster the development of AI applications.  In his blog, John Lynn relates the experience of Lukas Wartman of the McDonnell Genome Institute at the Washington University School of Medicine in St. Louis, who laments on how much faith one can put in the results (of using Watson).  As with past technologies, we are at the tip of the iceberg in terms of applying the technology.  Here’s hoping that IBM can figure this one out, be in it for the long game, and live up to the hype of IBM Watson!

 

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/news-item/innovation/survey-healthcare-orgs-ramping-investment-ai-confident-about-roi

Survey: Healthcare Orgs Ramping up Investment in AI, Confident about ROI

November 16, 2018
by Heather Landi, Associate Editor
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The majority of health care executives (91 percent) are confident they will see a return on investment (ROI) on artificial intelligence investments, although not immediately, and foresee the greatest impact of AI will be on improving health care, according to an OptumIQ survey.

Most (94 percent) health care leaders responded that their organizations continue to invest in and make progress in implementing AI, with 75 percent of healthcare organizations say they are implementing AI or have plans to execute an AI strategy, based on OptumIQ’s survey of 500 senior U.S. healthcare industry executives, primarily from hospitals clinics and health systems, life sciences organizations, health plans and employers. OptumIQ is the intelligence arm of data and analytics of Optum, an information and technology-enabled health services business that is part of UnitedHealth Group.

While many healthcare organizations have plans, progress is mixed across sectors. Of the 75 percent who are implementing AI or have plans to execute an AI strategy, 42 percent of those organizations have a strategy but have not yet implemented it. Employers are furthest along, with 22 percent reporting their AI implementations are at a late stage, with nearly full deployment.

The average AI implementation is estimated to cost $32.4 million over five years. The majority of respondents (65 percent) do not expect to see a ROI before four years with the average expected period being five years. However, employers (38 percent) and health plans (20 percent) expect ROI sooner, in three years or less, according to the survey.

The survey found that health care leaders universally agree the greatest impact of AI investment will be on improving health care. Thirty-six percent expect AI will improve the patient experience; 33 percent anticipate AI will decrease per-capita cost of care; and 31 percent believe AI will improve health outcomes.

Most health care leaders believe AI can make care more affordable and accessible. Ninety-four percent of respondents agree that AI technology is the most reliable path toward equitable, accessible and affordable health care.

AI will make care more precise and faster, according to respondents. The top two benefits respondents expect to see from incorporating AI into their organizations are more accurate diagnosis and increased efficiency.

The survey found that respondents are looking to AI to solve immediate data challenges – from routine tasks to truly understanding consumers’ health needs. Of those health organizations that are already investing in and implementing AI: 

  • 43 percent are automating business processes, such as administrative operations or customer service;
  • 36 percent are using AI to detect patterns in health care fraud, waste and abuse; and
  • 31 percent are using AI to monitor users with Internet of Things (IoT) devices, such as a wearable technology

With more organizations seeing the benefit of adopting an AI strategy, 92 percent agree that hiring candidates who have experience working with AI technology is a priority for their organization. To meet this need, nearly half (45 percent) of health care leaders estimate that more than 30 percent of new hires will be in positions requiring engagement with or implementation of AI in the next 12 months. However, health organizations seeking to hire experienced staff will likely face talent shortages.

“Artificial intelligence has the potential to transform health care by helping predict disease and putting the right insights into the hands of clinicians as they treat patients, which can reduce the total cost of care,” Eric Murphy, CEO of OptumInsight, said.

“Analytics isn't the end, it's the beginning – it's what you do with the insights to drive care improvement and reduce administrative waste,” Steve Griffiths, senior vice president and chief operating officer of Optum Enterprise Analytics, said. “For AI to successfully solve health care’s biggest challenges, organizations need to employ a unique combination of curated data, analytics and health care expertise... We are already seeing a race for AI talent in the industry that will grow as adoption continues to increase.”

 

 

 

 

 

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Breaking: The 2019 Healthcare Informatics Innovator Awards Program is Open

November 15, 2018
by the Editors of Healthcare Informatics
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Providers and vendors can now submit their entries to the Healthcare Informatics Innovator Awards Program

The 2019 Healthcare Informatics Innovator Awards Program is now open for submissions. As always, it’s a great privilege and pleasure for us to sponsor this program.

And as many readers know, the concept of team-base recognition, which began with the 2009 edition of the program, has encompassed numerous sets of multiple winning teams that our publication has recognized for their achievements across a very broad range of areas.

As it always does, the Healthcare Informatics Innovator Awards Program recognizes leadership teams from patient care organizations—hospitals, physician groups, clinics, integrated health systems, payers, HIEs, ACOs, and other healthcare organizations—that have effectively deployed information technology in order to improve clinical, administrative, financial, or organizational performance.

The Innovators Program, as it has in the last few years, also recognizes vendor solution providers who are asked to describe their core products or services in five categories. We are asking vendors to submit their innovation in one of five critical health IT areas: Data Security; Value-Based Care; Revenue Cycle Management; Data Analytics; and Patient Engagement.

Indeed, again this year, the Innovator Awards program will again include two tracks for innovation recognition—one for healthcare provider organizations and one for technology solution providers.

The submission form link for both tracks is right here. The deadline for submissions is January 4, 2019.

What’s more, the winning teams will be featured in an upcoming issue of Healthcare Informatics, and winning vendor teams will be awarded free digital distribution of whitepapers to all HIT Summit Series attendees.

At Healthcare Informatics, we are honored to be able to showcase these kinds of case studies from both providers and vendors, which we believe embodies the spirit of innovation around adaptive change that will light the way for their colleagues from across the industry.

At a time of extraordinary change in healthcare, now is as great a time as ever to showcase your innovations. Please consider submitting an entry to our program, and good luck in your entry!

--The Editors of Healthcare Informatics

 


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New Blockchain Project Sets to Tackle Provider Credentialing

November 12, 2018
by Rajiv Leventhal, Managing Editor
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A group of five healthcare enterprises—National Government Services, Spectrum Health, WellCare Health Plans, Inc., Accenture, and The Hardenbergh Group—are linking up to participate in a distributed ledger program aimed at resolving administrative inefficiencies related to professional credentialing.

The project, Professional Credentials Exchange, is being developed by ProCredEx and Hashed Health, a blockchain innovation consortium. The exchange leverages “advanced data science, artificial intelligence, and blockchain technologies to greatly simplify the acquisition and verification of information related to professional credentialing and identity,” according to officials.

In an announcement, officials noted that credentialing healthcare professionals “is a universally problematic process for any industry member that delivers or pays for patient care.  The process often requires four to six months to complete and directly impedes the ability for a healthcare professional to deliver care and be reimbursed for their work.”

They added, “Hospitals alone forfeit an average of $7,500 in daily net revenues waiting for credentialing and payer enrollment processes to complete.  Further, nearly every organization required to perform this work does so independently—creating a significant administrative burden for practitioners.”

As such, the groups, via the exchange, will aim to address the time, cost, and complexity associated with these processes by facilitating the secure, trusted exchange of verified credentials information between exchange members.

Included in the collaboration are WellCare Health Plans, which serves about 5.5 million members, and Spectrum Health, a 12-hospital health system in western Michigan. National Government Services is a Medicare contractor for the Centers for Medicare & Medicaid Services (CMS), and processes more than 230 million Medicare claims annually.

"A fundamental component of developing the exchange lays in building a network of members that bring significant verified credential datasets to the marketplace," Anthony Begando, ProCredEx's co-founder and CEO, said in a statement.  "These are the leading participants in a growing group of collaborators who bring data and implementation capabilities to accelerate the deployment and scaling of the exchange."

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