By VINCE KURAITIS, GIRISH MURALIDHARAN & JODY RANCK


This entry is Part 2 of half 3 of three within the sequence Platforming Healthcare — The Long View. This essay is the subsequent within the sequence entitled “Platforming Healthcare — the Lengthy View”. The sequence presents a 30-12 months Framework for Platforming Healthcare. An up to date v2.0 of a graphic depicting this 30-12 months Framework is proven above.
At this time’s publish is part 2 and can proceed to explain and talk about a possible successor to the EHR period — Unified Digital Well being Platforms (UDHPs). Right here’s an outline:
- Mayo Clinic Platform
- Enterprise and Strategic Implications of UDHPs
- APPENDIX: Extra Readings on UDHPs
Mayo Clinic Platform: Healthcare platforms and AI
The Mayo Clinic Platform (MCP)was launched a number of years in the past with the purpose of constructing the longer term Mayo Clinic enterprise mannequin that would transfer past the bricks-and-mortar method to conventional healthcare and open up new avenues for services. The adoption of a platform enterprise mannequin was thought-about important to serving sufferers past the normal Mayo Clinic geography in addition to a technique to incentivize innovation in AI and decentralized care within the dwelling.
A big longitudinal database with each structured and unstructured information offers a basis for the MCP, significantly in respect to catalyzing innovation in medical purposes of AI. The database referred to as Mayo Clinic Platform Discover has over 7.3 million de-identified affected person information that can be utilized for coaching AI fashions in addition to in analysis and discovery for early-stage startups specifically who want to be part of the MCP ecosystem. The dataset is known as “Information behind glass” for the privateness and safety requirements which can be wanted to create the bedrock for a collaborative ecosystem.
Supply: Mayo Clinic Platform Playbook
MCP is a three-sided market that has resolution builders, information suppliers, and clinicians composing the three sides. MCP acts because the orchestrator of the ecosystem and extra companions equivalent to Mercy have joined as information contributors within the MCP part referred to as Mayo Clinic Platform Connect. These are the first parts of the platform.
The Mayo Clinic Platform Playbook identifies six key success components:
- A privacy-protecting, safe collaborative atmosphere with de-identified information from international sources. Longitudinal databases of affected person information are very important to medical analysis and the event of recent medical decision-support instruments, therapeutics, and digital well being options. Privateness and safety should be maintained to guard the belief of Mayo Clinic’s sufferers.
- Breadth and depth of affected person information have to be adequate to generate insights for each uncommon and customary ailments.
- Seamless capabilities to each ingest various information sources (e.g. -omic (genome, metabolome, and so forth.), EHR, wearables, social determinants of well being (SDoH)) and to ship actionable insights on the level of care.
- Slicing-edge information science analytic instruments, sturdy computing energy, and uniform information requirements.
- Sturdy governance to imagine safety, scientific validity, interoperability and validation of applied sciences match for goal.
- Pathways for commercialization of efficient, validated options.
MCP vets startups and extra mature expertise distributors via a course of that may start with offering entry to the longitudinal database for creating and coaching fashions (early-stage startups) to scaling options throughout MCP and affiliated hospitals with Mayo Clinic. The sturdy governance construction and integration with MCP makes scaling into different methods rather more possible.
AI governance is a core part of the MCP and why they had been one of many unique sponsors of the Coalition for Well being AI (CHAI) to carry collectively main business gamers to create the requirements for accountable AI throughout validation, explainability, and transparency. Guaranteeing that AI instruments have been rigorously validated is critical for clinician adoption of AI in addition to sustaining the belief of sufferers. These requirements act as a type of “guidelines of the highway” for expertise resolution suppliers on the MCP.
MCP makes use of ServiceNow’s Utility Portfolio Administration (APM) resolution that allows customers to create a complete stock of all purposes utilized by an organization. Many well being methods wrestle to cope with the buildup of purposes over time and this creates safety points, redundancies, and dangers to hospitals. The APM resolution facilitates integration of software portfolios with clearer traces for possession, duty for upkeep and decommissioning, and administrative roles.
For MCP this kind of resolution affords a myriad of benefits when orchestrating an ecosystem of expertise distributors and purposes which can be built-in with Mayo Clinic’s digital infrastructure (EHRs, pathology and radiology purposes, and so forth.) and past when the MCP companions with each expertise distributors on their platform and exterior hospitals and methods.
The problem of sustaining belief in a UDHP is appreciable. Within the MCP case, one can discover expertise options that may have a platform enterprise mannequin that engages with a number of different expertise distributors. This creates a “platform of platforms” situation with appreciable complexity and may carry with it cybersecurity dangers if collaborators of those exterior platforms have safety vulnerabilities or challenges with interoperability. Subsequently a rigorous vetting course of with requirements for not solely validation of AI fashions however inclusive of integration into the MCP community.
UDHPs will reshape many aggressive dynamics of healthcare.
A Platform Shift – Disrupting EHRs?
Within the short- to medium-term, UDHPs will probably be complementary to EHRs. EHRs are deeply entrenched in as we speak’s healthcare supply methods.
However as famous earlier, the roots of as we speak’s EHRs are as systems of record to doc claims submissions. To be honest, Epic, Oracle, and different EHRs try to maneuver past their historic slender scope.
However, the long-term prize is to change into the system of motion that automates interoperability, information sharing, and workflows inside and throughout healthcare organizations. The BOI Strategy Playbook depicts the basic platform shift:
Well being interoperability guru Brendan Keeler has famous that it most likely gained’t be one other EHR that displaces Epic:
Disruptive software program change for B2B SaaS takes many years throughout all industries for enterprise measurement purchasers. Significant disruption shouldn’t be a pure play competitor however the finish results of a whole platform change (Home windows was disrupted by cell, not by one other PC OS or antitrust). What disrupts an incumbent EHR gained’t be one other EHR.
Oracle’s new, subsequent era EHR needs to be characterised extra as a UDHP than as a standard EHR. Writing in Cloud Wars, Bob Evans makes a case for Oracle’s technique:
… the bromide about how “what acquired you right here gained’t get you there” will present a stark instance of why area of interest suppliers that dominated the on-prem world will probably be overmatched and pushed to the periphery within the trendy world of cloud and AI. Larry Ellison has dedicated the complete sources of his whole firm to making sure that Oracle Well being can tackle not solely EHRs and adjoining segments but in addition your complete $16-trillion healthcare business….Oracle has been coping with all the things from software program integration to large international deployments to advanced governance points for the world’s largest and most-complex organizations for greater than 30 years.
EHRs seemingly gained’t go away, however they’re prone to changing into commoditized because the value-creation and value-capture alternative shifts towards UDHPs.
UDHPs Allow New Ecosystems & Strategic Partnerships
Whereas non-public well being methods are seemingly early prospects, UDHPs may be adopted by or prolonged to many different sectors or subsectors of healthcare. Let’s think about some examples:
Consulting firm Zühlke described how UDHPs may be deployed by life sciences corporations.
As a result of life sciences corporations… usually are not tech corporations, they are going to often wish to think about licensing a digital well being expertise platform within the type of a platform as a service (PaaS). This allows them to sidestep among the complexity of constructing their very own platform and deal with their core enterprise.
Salesforce described how its UDHP providing is appropriate for Med Tech corporations.
Many MedTech corporations depend on a number of expertise methods that weren’t designed with buyer engagement or the flexibility to work with one another in thoughts. It’s important to combine this right into a unified expertise. A single platform that’s straightforward to handle, can develop with your enterprise, and may combine with present information and homegrown methods can energy your group extra successfully.
Authorities organizations are candidates for UDHP adoption. An Australian public hospital system deployed ServiceNow’s UDHP.
Better’s UDHP is the underlying expertise supporting the OneLondon shared care planning resolution throughout the town of London. The “end-of-life Common Care Plan (UCP) – is supporting a inhabitants of roughly 10m folks, throughout 5 Built-in Care Programs, over 40 NHS trusts, and 1,400 basic practices.”
A report for the Norwegian Directorate of e-health illustrates how a UDHP may transcend EHRs to allow a broader digital care supply system:
Lastly, we see the potential for the creation and adoption of UDHPs that cater to significantly massive and/or advanced subsectors of healthcare supply. Medical imaging is one instance the place a UDHP could be deployed by an imaging middle, a big radiology group, and even inside a well being system. In keeping with NetApp, “medical imaging contains 90% of medical information [storage] worldwide.“ Of the over 1,000 FDA-authorized AI medical device algorithms, roughly 75% relate to medical imaging.
AI Will Play a Main Function in UDHP Adoption
Whereas we foresee that AI will play a key position in UDHP adoption and implementation, the specifics are unclear and up for grabs. We anticipate that over time AI will probably be embedded in each layer of healthcare IT and will probably be utilized to a variety of administrative and medical workflows – each inside and throughout organizations.
An instance – previously, there have been large battles over consumer interfaces:
- Within the Eighties – the GUI battle between Apple and Microsoft
- Within the Nineties – browser wars between Netscape Navigator and Microsoft Web Explorer.
- Within the 2000s – telephone working system wars amongst a dozen contenders resulted in large wins for Apple iOS and Android
One other consumer interface battle is shaping up for clinician mindshare. AI will play a significant position.
- At this time’s EHRs are famend for his or her poor UI and UX. EHR incumbents are scurrying to construct extra user-friendly AI interfaces. Epic has 125 AI-enabled features which can be reside or in improvement.
- UDHPs themselves can compete with EHRs by incorporating extra user-friendly AI interfaces. UDHPs will provide low code/no code instruments to handle workflow and processes throughout care groups.
- Might a startup digital health firm create a singular AI interface layer on prime of EHRs?
As famous in TechCrunch, “the interface is the place the revenue is.” We will anticipate the battle…however anticipating the winner(s) is way tougher.
UDHPs Allow Platform Enterprise Fashions
Incumbent healthcare organizations can lengthen UDHP technological infrastructure to reconceptualize themselves as having platform business models. SAP makes the case that “the longer term hospital is a platform.”
Mayo Clinic has been a poster youngster for progressive pondering with its Mayo Clinic platform. Dr. Gianrico Farrugia, President and CEO at Mayo Clinic, described Mayo’s transition from a standard pipeline enterprise mannequin to an progressive platform mannequin:
Our present healthcare mannequin capabilities as a pipeline, which is linear, extremely transactional, and rigid. The failings of this mannequin had been clear through the pandemic, the place collaboration was restricted and stress to particular person nodes led to factors of failure. This, in flip, hampered and in some circumstances paralyzed your complete system.
A platform mannequin of well being care and ecosystem is basically completely different. A platform is constructed round safe, collective sources equivalent to a strong analytic engine and an open ecosystem of trusted collaborators and is extremely dynamic, self-learning, inherently accessible, and scalable. This method brings collectively suppliers, medical system corporations, well being tech startups, sufferers, and payers, amongst others, to design built-in end-to-end options which can be supported by longitudinal medical information and AI algorithms. A platform is purposefully collaborative and fuels innovation and entry as a substitute of limiting it.
UDHPs Advance the Motion Towards Cloud (CIO POV)
Throughout industries, the IT panorama is experiencing a big shift in the direction of cloud computing. Organizations are more and more adopting multi-cloud and hybrid cloud methods to optimize operations, improve flexibility, and cut back vendor lock-in. This development is pushed by the necessity for scalability, cost-efficiency, and entry to superior companies like AI and analytics.
UDHPs align strongly with the cloud computing development by leveraging its scalability, flexibility, and accessibility. Cloud infrastructure permits UDHPs to combine disparate methods, facilitate information sharing, and help progressive purposes.
Lengthy-Time period Potential for Winner(s)-Take-All?
At the moment there are 20+ UDHPs. This market has many long-term traits of a extremely concentrated, winner(s)-take-all market. By “extremely concentrated”, we imply a monopoly (one dominant agency), a duopoly (two dominant corporations), or an oligopoly (a small group of dominant corporations — usually three to 5):
- UDHP patrons will desire to “single dwelling”, i.e., choose a single UDHP platform
- Switching prices will probably be very excessive
- Community results will probably be robust
We foresee the UDHP market as changing into a battle for purposes and builders. Builders desire to work on as few platforms as doable, ideally one or two.
UDHPs thus may have robust oblique community results. Patrons will desire UDHPs that supply a variety of purposes created by builders; builders will converge on platforms which have the best variety of patrons.
The smartphone operating system (OS) market offers an analogy. In 2006, there have been 12 corporations providing smartphone OSs; by 2015, the battle was over — Android and Apple iOS owned greater than 99% of the market. At this time these winners every boast over 2 million apps on their OS platforms.
Implications: Because the UDHP market turns into extra concentrated, there will probably be a couple of winners and plenty of losers. Patrons ought to consider distributors fastidiously.
Unified Digital Well being Platforms are a brand new class of enterprise software program, one which Gartner predicts “will, over time, change the dominant period of the monolithic digital well being file (EHR).”
At this time, the UDHP market continues to be very early – about 5% penetrated.
UDHPs provide compelling worth propositions – enhancing medical care, overcoming the restrictions of EHRs, providing modular architectures, enabling a typical infrastructure, and offering aggressive benefit.
UDHPs additionally promise to shake up the aggressive panorama of healthcare by creating a significant platform shift. Within the quick time period, they need to collaborate with EHRs; in the long run, they’ll commoditize EHRs. They permit new platform enterprise fashions and facilitate the event of recent ecosystems and partnerships.
UDHPs will play a significant position within the broader “platforming” of healthcare. They’re a development value watching.
Vince Kuraitis JD/MBA is an unbiased marketing consultant with over 35 years’ expertise throughout 150+ healthcare & tech corporations. He publishes The Healthcare Platform Blog, the place this publish first appeared.
Girish Muralidharan was an SVP at GE Healthcare till April 2024 and held a wide range of Govt enterprise administration roles throughout Imaging tools, tech enabled companies, digital platforms & options over the past 2 many years.
Dr. Jody Ranck is a researcher with over 30 years of expertise in international and home US well being expertise and coated AI, information analytics, and SDoH with Chilmark Analysis.