HIMSS18 – A Cacophony, Not Yet a Symphony
My post before HIMSS talked about how jazzed (not jaded) I was to be attending my 20th HIMSS conference. Now that HIMSS18 is in the bag – what did I learn?
On Monday I presented the results of our AI survey at the Machine Learning & AI for Healthcare preconference event at the Wynn. Although there were a few hundred seats, the event sold out weeks in advance. A number of folks I knew who planned to buy a ticket at the door were shut out. So that’s a lesson – when it comes to attending hot topics, don’t procrastinate!
Keynote speaker Lynda Chin from the University of Texas compared using of AI to having a paralegal on your team – it’s someone intelligent that could pull resources together to help you make better decisions. She summed it up simply: “Machines serving humans, not humans serving machines.”
Many other speakers came from large health systems and spoke to important use cases:
It’s become a given that these leaders and their vendors use AI and use it well. My favorite from the above examples was Srinivasan Suresh, CMIO at Children’s Hospital of Pittsburgh of UPMC. His slide highlighted that, although he had no impressive AI or ML credentials, he was still able to use these kinds of tools successfully to predict pediatric readmissions due to seizures, asthma, and pneumonia, which led to more effective interventions.
HIMSS and health IT may be more of a cacophony than a symphony, but I’m glad to be in the orchestra.
AI and the cloud were key themes this year and have become mainstream topics. For our views on Eric Schmidt’s keynote about data, analytics, and AI, see our earlier HIMSS18 recap blog.
Glad I had teammates that made it into Seema Verma’s CMS keynote the next day – her announcement about patient data access, open APIs, and Blue Button 2.0 was welcome. You may recall the previous year, given the change of administration, there was little that CMS or ONC could say about anything. Although we’re seeing some progress, it doesn’t seem substantial enough to move the needle on value-based care.
A big part of my week was meeting with NLP vendors. Chilmark Research is close to releasing our major report on this topic, and it was great to get insights from more than a dozen vendors. Some of the smaller ones are highly focused on specific use cases (Health Fidelity and Talix on risk stratification; Clinithink on matching patients to clinical trials). 3M and its partnership with Alphabet’s Verily are a powerful combination on determining the “dominoes” of costs and care. Also of note: M*Modal’s virtual provider assistant and use of ambient devices, as well as Nuance’s partnership with Epic to add more conversational AI functionality. We are seeing voice assistant success paving the way to virtual scribes – those that can “whisper” in the physician’s ear will be most valuable to ensure that decision support is not bypassed by passive systems.
As John Moore posted in his earlier HIMSS18 recap, it’s sad (well, infuriating) that we still have to address interoperability. I attended two events held by the Strategic Health Information Exchange Collaborative (SHIEC), which has been successful in providing a rallying point for 60 HIEs and 40 vendors to share knowledge and provide comments to ONC regarding TEFCA and data exchange. But it only represents a fraction of the hundreds of private and public HIEs in the country, so there is still a long road ahead. A payer committee was a welcome sign that convergence was part of their agenda.
At the opposite end of the interoperability spectrum, I attended a session by Houston Methodist on body sensors, where the distances are measured in inches and the signals are often so weak that temperature or motion (such as a kicking baby) are enough to throw them off. Sensor network fusion is the frontier – the more information you can capture from more places with more context, the better. For example, one of Methodist’s use cases was rapidly predicting a patient fall.
I also met with Somatix, a small vendor with a big idea we’ve been hearing about for years – using data from wearables to track more routine activities of daily living (some of which, like smoking, are harmful). The vendor is attempting to take this to the next level with more accurate gesture detection and predictive analytics so appropriate (and even real-time) interventions can be made using specific apps. As Brian Eastwood recently posted, we’re still waiting for wearables to provide insight. I didn’t sport a wearable at HIMSS18 (I broke two and lost another in 2017), but I’m on the lookout for a good, waterproof one.
Another key area of focus for us is the use of AI to interpret digital medical images. An impressive talk by University of Virginia and the National Institute of Health included use of speech recognition (using Carestream and Epic) to embed hyperlinks of AI-recognized areas of interest into reports for the EHR. The two-year effort showed productivity improvements of 3x over unassisted analysis and reporting.
A presentation by Entlitic claimed AI-enabled “superhuman” techniques able to detect lung cancer two years sooner than existing approaches. Their solution made it easy to compare an existing case to similar cases where timelines of data showed disease progressions. The company has 65 radiologists that label their training data, claiming only 1 in 4 that apply for the job pass their test. We’ll dive into detail about these kinds of advances in our Digital Medical Imaging Report scheduled for Q4’18.
I spent time with Ambra, a major provider of image exchange solutions (others include Nuance and lifeIMAGE). Aside from the challenge of the size of medical images, it always surprises me how difficult it is to move them around and make them available despite good standards (DICOM). It was only recently that Epic, for example, addressed image exchange, and it’s not part of many HIEs. I’m glad to see we’re moving beyond the vendor neural archiving discussion and toward a focus on the cloud and useful exchange of images in clinician workflow.
I also attended half a dozen receptions during the week. The biggest was sponsored by a large consulting firm. It was an evening of fun, but it reminded me of what was right and wrong about our industry and a conference in Las Vegas – who’s really paying that bill? My last reception was with BetterDoctor, which specializes in the quality of provider directory data. It always seemed ironic to me that the most regulated profession in the world has such a problem with accurate information (retirement, credentialing, locations, and so on).
To rework my “I’m Jazzed” comment from the top with a music metaphor, HIMSS is more like a blaring of thousands of different instruments with each of the “sections” competing to be louder than the other – and the sounds of Vegas don’t help. There are many great musicians and an increasing number of duets (e.g., partnerships, ACOs), but we’re still playing off too many different pages. Adding to the problem is the conductor (the government) changing every few years.
It may be more of a cacophony than a symphony, but I’m glad to be in the orchestra. I hope you are, too.
Matt Guldin · 2 years ago
Liz Gavriel · 4 years ago
John Moore · 3 months ago
Brian Murphy · 2 months ago
John Moore · 2 weeks ago
HIMSS18 – A Bipolar Experience
A decade of attending the annual HIMSS conference and I leave both excited and depressed. Excited and enthused by meeting so many people who are dedicating their lives to affect positive change by improving healthcare delivery through IT. Depressed as yet again I find a lack of real leadership and vision among many who repeat the years’ worn phrases of interoperability, patient-centered care, reducing physician burden, and the like.
“Oh please, can’t we just get on with it,” I scream to myself.
In keeping with the bipolar theme that is HIMSS, following are my takeaways, in an up-down fashion.
Up: Anthem goes public on its deal with Epic r/e HealthyPlanet. This partnership is an exciting step in enabling provider-payer convergence wherein Anthem will embed IP (risk, prior authorization, claims adjudication, etc.) into HealthyPlanet and take HealthyPlanet to market with wrap-around services.
Down: Head-in-the-sand vendors who are entrenched in FFS model. These vendors told me point blank that the market will revert back to FFS, that value based care is DOA. Gotta wonder what they’re smoking.
Up: Telehealth going mainstream. Saw loads of examples/demos of telehealth with direct or near-direct integration to the EHR. Been hearing about the coming of telehealth since I started this company in 2007. I believe we are finally there.
Down: Almost zero discussions on managing the costs of care/cost containment. There was some discussion on reducing clinical variability – but beyond that, HIMSS was devoid of any deep conversations on this critical variable in the value equation.
Up: Clear demonstrable, scalable use cases for AI. I was particularly impressed with the work 3M has done with Verily, leveraging Deep Mind technology for specific measures. Though just released, 3M has already landed 17 provider clients and 2 payers.
Down: The preponderance of AI vendors with little sense of scaling their solution. Many of the AI vendors I talked to have ongoing projects with “Big Brand” healthcare systems. That’s great – but disturbingly, few have taken the next step to address how they plan to scale their solution within an organization for widespread adoption and use.
Up: New solutions leveraging FHIR to insert actionable insights directly into clinical workflows. This is near nirvana for me, as it gets beyond the Herculean task of interoperability writ-large and tackles those points where significant friction and opportunity exists.
Down: One policy pundit after another talks yet again about the need for interoperability. Frankly, this is no longer a technical issue. Interoperability is a policy issue and really does not belong at an event such as HIMSS – where we should be talking about the future, not rehashing the past ad nauseum.
Clearly, a lot of work lays ahead for us in the health IT arena, which provides us all meaningful work going forward. And frankly, we are in but the top of the third inning – there is so much to do, it really is an amazing time to be in the healthcare IT market.
Thankfully, we are at last moving beyond the prescriptive use of IT via meaningful use, transitioning to meaningful insights from the data we are collecting and placing into clinical workflows. There is a near unfathomable opportunity to begin leveraging clinical, genomic, and other data sets that will lead us to dramatic improvements in care delivery – improvements that are likely beyond our comprehension at this time.
Despite some of my downer moments at HIMSS18, I could not be more excited for what the future holds for us as an industry – and, personally, in how even I and my care team will leverage new insights to more effectively and efficiently manage my own condition.
HIMSS18: Care Management and Engagement
Having returned and (mostly) recovered from HIMSS18 in Las Vegas, the Chilmark Research team wanted to share our thoughts on what we saw in presentations and heard in conversations. This post includes our analysis and insights on Care Management and Engagement; additional posts will consider Analytics/AI and Interoperability as well as Population Health Management and Convergence.
Overall, we were pleased to see progress on telehealth, as well as a broader understanding that healthcare organizations (HCOs) will get patient engagement right only when they assemble a comprehensive collaborative health record (CHR). On the other hand, we were disappointed in slow progress toward addressing two prominent public health issues — the opioid crisis and behavioral health — as we didn’t see many large-scale use cases for engagement in general or episodic payments in particular.
There certainly was an increased awareness and discussion of integrating behavioral health into primary care and care coordination at HIMSS18. However, this shift is still in its very early stages.
Lack of focus on the opioid crisis: Last week, the CDC released a Vital Signs report that showed a 30% increase in emergency department visits due to suspected opioid overdoses from July 2016 to September 2017. Despite this continued public health crisis, there was a general lack of targeted solutions or marketing focused on this topic at HIMSS18.
Instead of vendors helping providers to help address this problem at the point of care or service, though, there is a “top-down” approach at the state level emphasizing tighter prescription regulations, inventory control, and tracking. There were some specific examples we did find though. One vendor, Venebio, has created a predictive analytics solution to identify and predict the specific overdose risk over the next 12 months for a particular patient; Venebio is selling to state Medicaid agencies, payers, and providers. Collective Medical, through their EDIE report, is helping to provide a list of current medications for ER patients which facilitates identifying drug-seeking patients.
Integrating behavioral health is in its early stages. There certainly was an increased awareness and discussion of integrating behavioral health into primary care and care coordination, including several educational sessions on the topic. However, this shift is still in its very early stages. To be determined: What types of models by the work best in varied primary care settings; how IT solutions such as telemedicine and digital health might help to address various challenges, including a lack of sufficient behavioral health providers and lengthy behavioral health service queues; and the role of self-support tools, which have high levels of engagement and effectiveness.
Scaling episodic payments remains a huge challenge. While a number of HCOs have already engaged in an episodic payment for a particular procedure or two in a service line (such as cardiology or orthopedics), scaling these efforts across several service lines for an HCO remains a challenge as solutions remain immature and most HCOs are in the early stages of forming post-acute networks. Some of the biggest challenges include the timely notification of when a patient enters into an episode, an inability to track patients across and outside the HCO, and an effective patient engagement strategy that is customizable to meets the needs of a patient in a particular episode.
Data matters. If there was a unifying theme to the preconference Patient Engagement & Experience Summit, it was the need to begin patient engagement efforts with a CHR – one combining clinical, claims, consumer, financial, and patient-generated health data to provide a comprehensive view of a patient’s diagnoses, social determinants of health (SDoH), and barriers to receiving care. Record in hand, healthcare organizations (HCOs) can shift away from generic patient outreach – think portal message, email, or even snail mail flier – toward outreach that better meets patients’ individualized needs.
If there’s a theme to my patient engagement conversations so far at #HIMSS18, it’s a clear shift to more personalized and targeted outreach.
— Brian Eastwood (@Brian_Eastwood) March 6, 2018
Use cases remain simple. The operative word above is can, as HCOs aren’t yet meeting individualized needs. Many use cases at the preconference summit highlighted a single condition: Asthma, colon cancer, sepsis, substance abuse, outpatient physical therapy, etc. Two factors seem to cause this. The first reflects the adage that you can’t manage or improve what you cannot measure. Since HCOs are measuring readmission rates, HCAPHS scores, and joint replacement bundled payment performance as if their financial lives depended on it (and they do), patient engagement and experience efforts are frequently tied to these metrics.
Behavior change is hard. The second factor is the challenge of personalization. It’s fairly easy to use a CHR to identify what makes a patient unique (thanks to advances in AI and machine learning that colleagues Ken Kleinberg, Brian Edwards, and Brian Murphy covered in a separate HIMSS recap). It’s much harder to align those unique characteristics to specific actions that will improve clinical outcomes. As noted by Dr. Heather Cole-Lewis, Johnson & Johnson’s Director of Behavior Science, such alignment requires context, and today’s engagement solutions have not been designed to handle the complexity that comes with that context. For example, to accomplish a care plan goal of lowering blood pressure to 140/90, Cole-Lewis said, a patient may need to do one (or more) of at least seven things:
Telehealth is maturing. If there was a bright spot for the engagement domain at HIMSS, it was the level of activity in the telehealth market. (Full disclosure: I wrote my first “telehealth is ready to take off” article in 2013.) Nathaniel Lacktman, chair of the law firm Foley & Lardner’s telehealth industry team, pointed out that the recently passed federal budget includes several extensions of telehealth reimbursement under Medicare, particularly for kidney dialysis, telestroke, and the patient-centered medical home. This should provide HCOs with the impetus to initiate or expand telehealth efforts that have otherwise stalled.
Plus, as John Moore pointed out in his HIMSS18 recap, telehealth vendors are pushing to cover the vast area between low-acuity DTC services and inpatient services through a variety of strategies. These include offering chronic condition management, supporting outpatient care settings, or unifying their inpatient and at-home UX. Stay tuned for Chilmark’s forthcoming report, Telehealth Beyond the Hospital, which will examine these strategies in much greater detail and identify which vendors are best positioned to execute in this market.
Give Us Your Data – Is it Really That Easy?
During Eric Schmidt’s opening keynote at HIMSS18, he asserted that, given the state of algorithms today, it’s possible to take any large data set and make strong predictions – and healthcare is no exception. There’s no need for clinical content knowledge, rules, or past experience. His statements were met with plenty of skepticism – less about the capabilities of Alphabet and its algorithms, and more about the realities of gaining access to the right healthcare data sets. This is not trivial.
So who should get data from who? What about patient consent? Who can be trusted? Historically, health systems have done their own analytics and research within the boundaries of their own systems. Vendor analytic solutions were implemented on site. Even this limited scenario presented complex challenges – in particular, just bringing data together to a point where it could be analyzed. Transferability of models was difficult, and costs were not shared. The use of analytics was therefore sparse, mostly limited to research and quality improvement.
Bulk data access will be critical for the industry to move beyond the current artisanal methods of building and maintaining data stores for analytics purposes.
Slowly but surely, the situation is changing. The cloud is becoming much more accepted, with many options possible (private, public, hybrid). Algorithms, enabled by rapidly advancing hardware/computing power, are capable of dealing with much larger and more complex data sets. Data operating system approaches can stream data in a liquid fashion from multiple locations/sources, reducing the need for centralized repositories.
A next step as data becomes more available is to fully utilize it. Advances in natural language processing (NLP) are able to extract/mine useful features from unstructured data such as text, faxes, and reports. Algorithms can increasingly use incomplete, messy, or ill-defined data and “fill in the blanks.” At a certain scale, data quality becomes less of a factor in conducting analytics.
Despite the black-box nature of AI systems, they can still be validated using objective methods, such as how and what they were trained upon, and how they perform in real-world clinical scenarios vs. human performance.
There is also a lot of healthy discussion about how AI systems make decisions. The primary concerns are black-box algorithms and a lack of data transparency. This even reached a point where a major educational institution recently recommended that governments not rely on any AI or algorithmic systems for “high stakes” domains, such as healthcare technology, where the way a system makes a decision cannot be understood in terms of due process, auditing, testing, and accountability standards.
Despite the black-box nature of these AI systems, the fact is that they can still be validated using objective methods, such as how and what they were trained upon, and how they perform in real-world clinical scenarios vs. human performance. As long as they are not used in closed- loop systems, and as long as there is a human expert able to accept or dismiss their recommendations, they provide valuable input (before or after) for difficult cases (such as whether surgery or therapy is the best course of action). They may also serve as a last resort with the proper consent (as with a terminal cancer patient).
So that all is highly promising – but is healthcare ready to hand this data over?
Percolating below the surface at HIMSS was disquiet about the “bulk data transfer” proposal. This proposed method would make large sets of data (think cohort-level data) more freely available for analytics purposes. It will allow a user or program in one organization to issue a broadcast query to the country at large and receive patient data from other organizations. For example, an ACO quality manager could issue a query to a community and get all of the relevant data for patients in the ACO.
This proposal, also known by the name “Flat FHIR,” is part of the TEFCA discussion (Trusted Exchange Framework and Common Agreement) insofar as such queries are a contemplated use case. But among people who are paying attention to this proposal, there are unanswered questions.
Open-ended queries arriving from anywhere in the healthcare system are not currently part of most HCO’s IT capacity plan:
Such questions represent the tip of the iceberg. As a practical matter, before the bulk data transfer proposal can ever be a day-to- day reality, many technical, non-technical, and financial questions must be resolved.
Despite these questions, bulk data access will be critical for the industry to move beyond the current artisanal methods of building and maintaining data stores for analytics purposes. After all, analytics has more to offer than the dashboards and reports that describe the recent past. HIMSS18 was less a venue to air out the challenges associated with making bulk data transfer a reality than it was an opportunity to preview some of the advanced and predictive analytics use cases it could enable.
18 Chilmark-Recommended Sessions for HIMSS’18
For those of you who are overwhelmed by looking through the HIMSS18 session schedule (and those of you who have been meaning to look but haven’t gotten to it yet), here’s Chilmark Research’s short list of sessions we expect to be worthwhile, as chosen by our analyst team. It is by no means an exhaustive list, but will hopefully steer our readers to a few quality sessions they may have otherwise overlooked or missed with how many options there are at any given time. We will likely have at least one team member at most of these sessions, so if something piques your interest, feel free to reach out to coordinate meeting at the session to discuss the topic further (email analysts directly or email@example.com for meetings).
We’d love to hear feedback on what sessions you’re excited for – feel free to leave additional suggestions in the comments.
Wednesday, March 7, 1:00pm-2:00pm; Venetian, Palazzo D
CME Credits: AAHAM 1.00; ABPM 1.00; ACPE 1.00; CAHIMS 1.00; CME 1.00; CNE 1.00; CPHIMS 1.00; PDU 1.00
Why Attend: The application of analytics to time purchasing of medical supplies – in this case medication – is something we typically don’t cover in our own research, but is a growing consideration in the move to VBC. This session will be of interest to healthcare system CFOs and COOs that are looking to find new ways to streamline business operations and identify opportunities to reduce their unit costs of care delivery.
Wednesday, March 7, 4:00-5:00pm; Venetian, Murano 3304
CME Credits: ABPM 1.00; ACHE 1.00; CAHIMS 1.00; CME 1.00; CNE 1.00; CPHIMS 1.00
Why attend: AI will have some of its near-term and largest impacts in radiology (lines at RSNA last year were around the block). This session will show how AI and analytics are bringing together clinicians, technologists, and data scientists to go beyond what any could do alone.
Wednesday, March 7, 11:30 to 12:30 a.m., Venetian, Murano 3304
CME Credits: ABPM 1.00; ACHE 1.00; CAHIMS 1.00; CME 1.00; CNE 1.00; CPHIMS 1.00
Why attend: Individualized care plans are increasingly becoming a requirement for a number of state and federal value-based reform programs. This session will provide an overview of that as well as looking at how these various programs are looking at creating a longitudinal care plan across multiple settings of care.
Thursday, March 8, 11:30 to 12:30 a.m., Venetian, Murano 3301
CME Credits: ACHE 1.00; ACPE 1.00; CAHIMS 1.00; CME 1.00; CNE 1.00; CPHIMS 1.00
Why attend: The shift to home-based care is going to be an important part of value-based care especially since CMS’ decision to reimburse providers for remote patient monitoring as of January 1st. This session presents two Davies award winners and how they used home-based IT including remote patient-monitoring to improve the quality of care while reducing costs.
Wednesday, March 7, 8:30 to 9:30 a.m.; Venetian, Palazzo G
CME Credits: CAHIMS 1.00; CME 1.00; CNE 1.00; CPHIMS 1.00
Why attend: Healthcare organizations cannot identify actionable strategies and tactics for improving patient engagement without hearing from patients firsthand about their experiences within the system – both good and bad. In this session, two patients will discuss their personal experiences and also share tips to help HCOs raise patients’ voices and even compensate them for sharing their time and expertise.
Thursday, March 8, 8:30 to 9:30 a.m., Sands Show Room
CME Credits: ABPM 1.00; ACHE 1.00; CAHIMS 1.00; CME 1.00; CNE 1.00; CPHIMS 1.00; PDU 1.00
Speaker: Iris Berman ,Vice President, Telehealth Services, Northwell Health
Why attend: Effective telehealth implementation requires significant strategic planning; otherwise, solutions are deployed on an ad hoc basis, different business units adopt different strategies and tactics, and scaling a telehealth program becomes increasingly difficult. This session covers the ins and outs of planning for a telehealth program — and then scaling it across a network of hospitals.
Tuesday, March 7, 4:00pm – 5:00pm; Venetian, Murano 3301
CME Credits: ABPM 1.00; ACHE 1.00; CAHIMS 1.00; CME 1.00; CNE 1.00; CPHIMS 1.00
Why attend: IHIE is probably the foremost exchange organization in the U.S. and understands how efforts like CommonWell and Carequality can help move the needle on exchange.
Thursday, March 8, 4:00pm – 5:00pm; Venetian, Murano 3301
CME Credits: ABPM 1.00; ACHE 1.00; CAHIMS 1.00; CME 1.00; CNE 1.00; CPHIMS 1.00
Speaker: David Hay, Product Strategist, Orion Health
Why attend: We expect this will provide a good overview of how FHIR will simplify the mechanics of data exchange and reduce the learning curve for developers.
Tuesday, March 6, 4:00-5:00pm; Venetian, Lando 4204
CME Credits: ABPM 1.00; ACHE 1.00; CAHIMS 1.00; CME 1.00; CNE 1.00; CPHIMS 1.00
Why attend: Caravan Health has an unique model for establishing ACOs, as discussed in last March’s Vendors Enabling the ACO Report. Learning from their experiences working with smaller, rural providers to establish cross-state MSSP ACOs will highlight some of the unique problems facing more loosely organized ACOs (opposed to IDN-based ACOs). Furthermore, MIPS is generally pretty confusing to a lot of people in the industry, and this session should help clarify some of that confusion to give ideas on how to adjust strategy for success.
Wednesday, March 7, 4:30pm – 5:30pm; Sands Hall G, Booth 11955ET
Why attend: What happens post-discharge has broad implications for how well providers can do in risk sharing contracts. Hopefully, this will provide some ideas on how these under-technologied providers can participate more fully.
Tuesday March 6, 1:00-2:00pm; Venetian, Galileo 901
CME Credits: AAHAM 1.00; ABPM 1.00; ACHE 1.00; AHIMA 1.00; CAHIMS 1.00; CME 1.00; CNE 1.00; CPHIMS 1.00; PDU 1.00
Why attend: Closing care gaps has been on HCO leaders’ minds for a few years now, but there are still plenty of headaches when it comes to activating physicians to use tools at the point of care. Hear from Boston-based ACO Steward Health what they are doing to solve this problem – the part of the description that hooked us? The use of these data to “ensure appropriate reimbursement to fund [VBC] programs.”
Wednesday, March 7, 11:30am – 12:30pm; Sands Hall G, Booth 11955ET
Why attend: Getting payers and providers to see eye-to-eye on information sharing is not easy. DaVinci is trying to reduce the need for participants to reinvent wheels.
Wednesday, March 7, 2:30am – 3:30pm; Venetian, Lando 4204
CME Credits: CAHIMS 1.00; CPHIMS 1.00
Why attend: Convergence among healthcare stakeholders has been taking many forms, as covered in our inaugural Convergence conference (session recordings) in October 2017. This session looks at some of the organizations taking lead on implementing these new types of business models, sharing their lessons learned to help others that are entering this revamp cycle.
Monday, March 5, 9:55-10:20am; The Wynn Las Vegas, Lafleur
Why attend: As AI gains in healthcare, the hype grows as well. This session will discuss survey results of Learning Health System initiatives organizations and their vendors regarding their opinions of where AI will have its greatest effect, how these solutions are being sourced, and to what degree they would allow AI systems to influence their own treatment.
Tuesday, March 6, 3:00-3:45 p.m., HIMSS Spot (Level 2, Lobby C)
Speakers: Brian Eastwood, Engagement Analyst, Chilmark Research; 19 other Social Media Ambassadors
Why attend: HIMSS Social Media Ambassadors are selected based on their ability to influence industry discourse, identify emerging technologies, amplify awareness of health IT’s importance, and honor those leading the effort to shift the industry’s IT priorities. Hear from Brian and the 19 other HIMSS18 Social Media Ambassadors about how social media informs and broadens their industry expertise.
Wednesday, March 7, 11:30am-12:30pm; Venetian, Palazzo G
CME Credits: ACHE 1.00; CAHIMS 1.00; CME 1.00; CNE 1.00; CPHIMS 1.00
Why Attend: This session will discuss how EHR vendor developer programs have evolved to include App Stores, how formal they are, what types of data they allow access to, and how they handle oversight, security, and revenue sharing. It will be of interest to a growing number of EHR clients, partners, and even competitors desiring access to the “keys to the kingdom” to offer new and innovative functionality.
Tuesday, March 6, 8:30-9:30am; Venetian, Palazzo K
CME Credits: ACHE 1.00
Speaker: Seema Verma, Administrator, Centers for Medicare and Medicaid Services
Why attend: Learn how the new administration is using IT to manage CMS offerings and services. Hear first hand from the organization’s top executive what to expect from the nation’s largest payer in the next couple years.
Tuesday, March 6, 9:30-10:30am; Sands Hall G Booth 11955ET
Why attend: If you’re curious about blockchain in healthcare, this is the panel for you. Expect a good overview of applications and uses in healthcare today, what’s actually possible, and where this technology could be applied near term for most impact. Definitely bring your tough questions as this session is loaded with experts.