The service transaction between a patient and physician has always been looked at closely from a billing perspective. Relatively few attempts have been made to enhance the match-making aspect of it: like which physician is best suited for the given patient? Tweaking this may have cascading effects downstream in the service experience and actual outcome.
Years ago, Zocdoc impressed me with their simple solution in this space. It was making it easier to get an appointment with retail physician of your choice. It’s hard to scale the retail small/medium clinics, so they dabbled in employee wellness for a bit and finally settled its focus on hospitals and health system customers.
AminoÂ focuses on figuring out the right physician first and then help with cost-estimation and scheduling. It claims to have analyzed a trove of insurance claims data to figure out the attributes of past interactions of care providers. Using the information that patient’s type in to Amino website (health problem, insurance, zip code, etc.) it can align it with the best physician profile in its database.
The approach has merits since most patients are inherently biased (“my sister says this doctor is great”), lazy (“I’ve always gone to this nearby clinic”) or arbitrary (“I just googled it”, “His name was on the first page of my insurance directory”) in the way they select physicians. Having a good partner in healthcare can make a difference. My curiosity is about their business model – who pays for this ultimately? For now, Amino has enough runway to not worry about it ($20M in three rounds so far).
PS: Kyruus does similar stuff, but for enterprise.
Most of the time, Health IT spawns artificial concepts – born as a result of relentless media hype, each reaches a precocious peak of publicity and then quickly fades away. Buzzwords like RHIO, NHIN, PHR, Chronic Disease Management, etc. were all touted as game changing at one point or other in the past. Now it’s more about patient engagement, HIE, Analytics, Care Collaboration. One stands out in my mind though – Population Health Management (PHM). I think that even though it may be riding the hype cycle like all others, it has signs of legitimacy.
Think of it this way. For decades, we have endured and participated in a healthcare system that is geared towards encounter-based medicine. Patient comes in with complaint X, gets treated and billed for complaint X. Now with changing payment models though, it is important for the payers and providers to broaden their perspective. They need to keep track of patient (member) over a period of time, and keep them out of hospitals/ERs. As a result they need a “Longitudinal Health Record” that spans across encounters. This is what HIEs promise to provide and interoperability standards promise to enable.
From a Health IT vendor perspective, PHM means tools that help user do two things:
This is done by analyzing a population in a given care context. Like HbA1c tests for diabetics. PHM construct is based on the premise of looking beyond those who need immediate care (i.e. are having an encounter) and provide insights on the entire cohort under care.
This is where the analytics graduates into what it should be – Actionable Analytics. The ideal PHM tool will not only help find at-risk individuals, but also make it easy to do something about it. So if the PCP user has found the 50 at-risk diabetics in his/her 1000 patient panel, they now need to send reminder letters or queue them up for some kind of outreach. ThisÂ workflow integration is what really legitimizes the emerging niche of PHM. Just analytics on it’s own doesn’t cut it.
But the devil is in the details, of course. One can argue why EHRs, the perennial stolid incumbents of health IT world, don’t have this as native capability. The answer is clear if you’ve ever used an EHR. They were (and are) built as transactional systems that focus on the current visit billing and documentation. Doing a parallel meta-analysis of how this patient fits into a population profile and what they need outside the context of this visit is a humungous leap for almost all EHRs. And that is why a new crop of startups have started to focus on this niche.
AmplifyHealth says all the right things on it’s website. They point out the need for finding patients that are going off-track. Like most startups, it avoids putting a live demo video on the site (so frustrating) so I’m going off of what the webpages claim as capabilities. The three areas they speak of:
- Patient Management: Seems like this provides ability to create custom lists, akin to registries. That is a valid value-add, aligned with actionable analytics as described above. But the website description veers off into “engage new patients, influence productive behavior, establish relationship” which is confusing. All those belong to the foundational practice management and EHR system.
- Measuring Outcomes: This would be the ‘meta-analysis’ that doesn’t come native with EHRs. Tracking outcomes based on measures is just starting to get engrained into the EHR DNA, thanks to the bullying by Meaningful Use regulation. But even that is a very regimented approach to this meta-analysis, and may not suffice for an ideal user. Hence the value-add opportunity.
- Client-Sales Support: Very interesting. This seems to be an administrative dashboard for provider groups, self-insured employer groups to analyze of potential savings for a population. So it goes beyond just the clinical aspect of Population Health Management. I can see that as a separate sell to administrative, non-clinical users.
Buoyed by the hype that usually accompanies anything new Health IT, PHM is ready to bask in media limelight. But this may be one of the rare occurrences where there is actual substance underlying the claim to fame. Of course, only time will tell. One thing is for sure – you will see this term splattered across a lot of vendor booths in HIMSS 2014.
Consumer tools that help deal with healthcare system complexity are unquestionably needed. A recent niche has focused on dealing with healthcare bills.
Simplee helps it’s users track medical expenses in an friendly online dashboard. The aggregated data and management tools can help manage health care costs and perhaps be used for finding the right medical plan and services for an individual or family. The service can also be used to pay medical bills since it has an integrated payment platform.
Obvious comparisons can (and have) been made to personal finance management websites like Mint. No surprises there since managing health and wealth are equally daunting tasks, riddled with complicated verbiage and stressful decision-making for most. The need is obvious and there is competition (CakeHealth, HealthExpense and Quicken Health for example). Payer coverage is key ground to cover quickly- I couldn’t find my insurer in Simplee, for example.
Regardless, the real utility of a service like this is in its integration with existing channels that push healthcare billing information to patient. A white-labeled Simplee would be fantastic for Payers so they can evolve the annoying EOB letters sent to patients. PHR or Patient Portals (whether provided by the insurer or provider’s EHR) would be another channel for using Simplee’s service to explain the bills. Without channels partnerships like these, I’m less optimistic about Simplee’s uptake in the real world. Another perplexing topic is business model. Providing free management tools can only get a user base, and to monetize that Simplee will need to add more services – perhaps become a shopping engine for health services, provide comparisons and ratings, etc. That can’t be a viable option for short-term since building a value proposition like that would need significant traction in a given healthcare market.
As a patient do I want a new, independent, smaller company to access, analyze and archive my healthcare bills? How comfortable am I want to give them my credit card info? The answer would probably be no for a significant part of conventional patient population, unless this useful ‘billing translation service’ was embedded in my usual interaction channel with the healthcare system. I’m looking forward to the partnerships that Simplee can muster going forward.
Scientific and medical research has seen explosive growth in the past few decades. Since 1996, theÂ United States National Library of MedicineÂ (NLM) has maintained PubMed, a free portal providing access to references and abstracts on life sciences and biomedical topics. PubMed now has over 21 million citations going back to 1966, and continues to add a staggering amount (about 500,000 new records) each year. The chart below was adapted from a recently published journal article about PubMed.
Today, clinical professionals have tools (like Ovid, ScienceDirect, UpToDate, Trip) that help answer complex questions and are connected to validated knowledge bases derived off of sources like PubMed. But how does a patient, with no access or expertise in the domain find and leverage this information? Medify tries to solve that.
The value proposition of Medify is not easy to describe. In fact, the ‘What is Medify‘ description on the site was banal enough to be dismissed, just like most other online social health startup marketing. They do a better (albeit prolix) job on the ‘How it works‘ page. Medify will appeal to the well-informed patients who are not afraid to sift through piles of academic articles burdened with medical jargon to understand and manage their own disease. Medify gives them a dashboard of existing literature – with it they can monitor things like which treatments are gaining traction in the provider community, which institutions are on the forefront of relevant research, etc. Affiliated web 2.0 functionality like faceted search, social sharing, tracking, annotating are bundled in to make it more personal.
Under the hood, it is smartly leveraging what public knowledge bases are already out there. The citation and abstract are free from PubMed. Interstitial phrases and terms in the content are further linked to sources like Wikipedia and MeSH. Brief outcomes or summaries are synthetically constructed from the article text.
Medify is not alone. There are other sites that try to help patients navigate the vast sea of research literature. PubMed’s parent NLM runs MedLinePlus,Â UpToDate has a patient-oriented version, and niche startups like MyDailyApple, PatientsLikeMe are also tackling this to some extent.
In 2001 Brian Haynes, MD, PhD wrote an article describing the landscape of such ‘pre-appraised’ resources through a hierarchical structure that had four layers (called “4S” Model):
- Original ‘Studies’ (what PubMed provides) at the base
- ‘Syntheses’ (systematic reviews sources like The Chochrane Library) of evidence just above that
- ‘Synopses’ (like EBM, EBN Online) of studies and syntheses next up, and
- the most evolved evidence-based information ‘Decision Support Systems’ at the top.
He later expanded the model to 2 more layers (read about the “6S” paper here), but the basic argument remained same – Information seekers should begin looking at the highest level resource available for the problem that prompted their search. That is a good framework to understand why services like Medify are needed.
The skeptics would argue that offerings like Medify will do little more than empower hypochondriacs. But I believe that well-served health information only makes outcomes better. The lag time between published research being implemented in real-world medical practice can be in the order of decades. As consumers, we are entrusted to make choices about other important topics like money, and the market provides personal finance tools/services to help. Same can apply to healthcare, without diminishing the role of experts.
There have been plenty of success stories of online networks that help aggregate individuals with a common interest in a health condition. PatientsLikeMe, MedHelp, DailyStrength, Sermo to name some. So it was only a matter of time before we saw a network of networks. Something that went beyond a online community with singular focus.
Alliance Health offers services to create health-related social networks. So it’s like Ning (Marc Andreessen‘s online platform for custom social networks) for healthcare, except that users can’t self-service and start a health-related network on Alliance Health.
They currently operate separate networks on over 40 physical and mental health issues (see screenshot below). Each community offers the standard fare expected in a online social networking site- discussion forums, videos, posts, reviews, etc. The star performer in their portfolio is DiabeticConnect, which is reportedly the largest diabetic community online with around a million unique visitors monthly.
If you look at the top most active social networking websites today, there are hardly any entries related to health (DXY.cn, DailyStrength, CaringBridge are the only ones). Yet health information is one of the most commonly sought-after content online. So there is definitely scope and need for leveraging social features of internet for health. Doing so on a combined platform increases viability, since the mainstay of revenue for social networking is still advertising. Cumulative audience across all networks is a better sell to potential advertisers.
I have high hopes for Alliance Health. Once the user base is there (like in DiabeticConnect), there are significant revenue opportunities in data analytics and mining. Beyond niche topic-based networks, I think they can extend services to private organizations like large care delivery organizations, insurers to create white-label social networks.