Linkedin
Gianrico Farrugia, M.D.
President and CEO at Mayo Clinic
October 18, 2022
Executive Summary [by the editor of the site]
Joaquim Cardoso MSc.
health transformation institute (HTI)
October 18, 2022
From pipeline to platform
- Our current health care model functions as a pipeline, which is linear, highly transactional, and inflexible. The failings of this model were clear during the pandemic.
- A platform model of health care and ecosystem is fundamentally different.
- A platform is built around secure, collective resources such as a powerful analytic engine and an open ecosystem of trusted collaborators and is highly dynamic, self-learning, inherently accessible and scalable.
- A platform is purposefully collaborative and fuels innovation and access instead of limiting it.
The Mayo Clinic Platform
- To create Mayo Clinic Platform, we knew we needed a unique architecture designed specifically for the challenges of health care.
- … we developed a platform based on a federated data learning model and created a “glass wall” so that partners can extract insights, develop and train AI algorithms and access digital tools without any underlying data being shared.
- This architecture places priority on patients and their rights to data privacy. This is a critical requirement to preserve trust in a platform-enabled health care system, while enabling innovation at scale.
- Data is the foundation of any platform, and Mayo Clinic Platform houses one of the largest bodies of longitudinal clinical data in the world and is constantly growing and evolving.
The Mayo Clinic´s Vision for the future of health:
- Embracing platform transformation and platform thinking specifically for health care will enable us to see greater innovation and discovery …
- … that results in more cures and new approaches to high quality, accessible, equitable, affordable care for patients worldwide.
ORIGINAL PUBLICATION (full version)
Transforming health care through platforms
Linkedin
Gianrico Farrugia, M.D.
President and CEO at Mayo Clinic
October 18, 2022
While the pandemic highlighted many problems with our health care system, many of these issues are longstanding and indeed go back several decades.
There is a longstanding need for more cures and innovation while also decreasing health care inequity and variability of care offered across the United States and across the world.
We also need to drive out waste and we need to focus on paying for value.
The enduring nature of these challenges, and the inability of legacy approaches from across the health care sector to solve them, showed the need for an entirely new approach.
This is why, three years ago, Mayo Clinic committed to leading a platform transformation of health care.
While the pandemic highlighted many problems with our health care system, many of these issues are longstanding and indeed go back several decades.
From Pipeline to Platform
Our current health care model functions as a pipeline, which is linear, highly transactional, and inflexible.
The failings of this model were clear during the pandemic, where collaboration was limited and stress to individual nodes led to points of failure.
This, in turn, hampered and in some cases paralyzed the entire system.
Our current health care model functions as a pipeline, which is linear, highly transactional, and inflexible.
The failings of this model were clear during the pandemic, where collaboration was limited and stress to individual nodes led to points of failure. This, in turn, hampered and in some cases paralyzed the entire system.
A platform model of health care and ecosystem is fundamentally different.
A platform is built around secure, collective resources such as a powerful analytic engine and an open ecosystem of trusted collaborators and is highly dynamic, self-learning, inherently accessible and scalable.
This approach brings together providers, medical device companies, health tech startups, patients, and payers, among others, to design integrated end-to-end solutions that are supported by longitudinal clinical data and AI algorithms.
A platform is purposefully collaborative and fuels innovation and access instead of limiting it.
A platform is built around secure, collective resources such as a powerful analytic engine and an open ecosystem of trusted collaborators and is highly dynamic, self-learning, inherently accessible and scalable.
Transformation at Mayo Clinic
To create Mayo Clinic Platform, we knew we needed a unique architecture designed specifically for the challenges of health care.
For any such platform to be adopted at scale, there is a need to reconcile two seemingly contradictory responsibilities — safeguarding patient data privacy and security while enabling innovation through broad access to results and AI models.
A digital platform in health care needs to be highly trustworthy and scalable at the same time.
To do this, we developed a platform based on a federated data learning model and created a “glass wall” so that partners can extract insights, develop and train AI algorithms and access digital tools without any underlying data being shared.
To create Mayo Clinic Platform, we knew we needed a unique architecture designed specifically for the challenges of health care.
… we developed a platform based on a federated data learning model and created a “glass wall” so that partners can extract insights, develop and train AI algorithms and access digital tools without any underlying data being shared.
This architecture places priority on patients and their rights to data privacy.
This is a critical requirement to preserve trust in a platform-enabled health care system, while enabling innovation at scale.
Powered by Data
Data is the foundation of any platform, and Mayo Clinic Platform houses one of the largest bodies of longitudinal clinical data in the world and is constantly growing and evolving.
By the end of 2022, the Platform will house over 5.5 petabytes of data.
Data is the foundation of any platform, and Mayo Clinic Platform houses one of the largest bodies of longitudinal clinical data in the world and is constantly growing and evolving.
This data trains and powers the AI and digital tools that are innovating care and delivering new, transformative insights to our researchers, which will lead to better care and outcomes for patients.
As the Platform scales further, it is powered by new partnerships that add millions of patient records and billions of new data points.
Mayo Clinic’s 10-year collaboration with Mercy is just one example of the power of partnership, bringing together an additional 4.1 petabytes of clinical data to the Platform and fueling the discovery of new patterns and insights.
As the Platform scales further, it is powered by new partnerships that add millions of patient records and billions of new data points.
This data trains and powers the AI and digital tools that are innovating care and delivering new, transformative insights to our researchers, which will lead to better care and outcomes for patients.
As a platform, existing data and algorithms are constantly renewed and updated as each interaction from a provider, patient, partner, or researcher adds more insight and further strengthens and informs the Platform.
This, in turn, improves outcomes for patients and creates new knowledge.
As the Platform grows, our researchers will be able to ask new questions and make discoveries that were previously unknowable even a week earlier.
Four Domains of Focus
With an architecture and data in place, we are pursuing four domains that enable Mayo Clinic and our collaborators to create end-to-end solutions for health care.
- 1.GATHER — Gather the data, make it comprehensible and safely accessible.
- 2.DISCOVER — Discover new insights from AI and machine learning tools.
- 3.VALIDATE — Validate those insights and digital tools for bias.
- 4.DELIVER — Deliver those tools into existing workflow in a way that is intuitive and accessible to current providers.
1.Gather the data, make it comprehensible and safely accessible.
Gather accepts data and diagnostic signals from various sources- such as wearables, EHRs, clinical systems, diagnostic devices, etc.- and integrates, harmonizes, and stores the data so it can seamlessly be used to advance innovative solutions.
2.Discover new insights from AI and machine learning tools.
Discover enables Mayo Clinic researchers and our trusted partners to develop new digital and algorithmic tools based on one of the largest longitudinal clinical datasets in the world.
3.Validate those insights and digital tools for bias.
Validate is one of the first products in the industry that provides a bias, specificity, and sensitivity report for AI models.
Creating a “nutrition label” for AI ensures it is clear from an objective, analytical perspective how an AI algorithm performs under different constraints, including racial, gender, and socioeconomic demographics.
4.Deliver those tools into existing workflow in a way that is intuitive and accessible to current providers.
Deliver is committed to decreasing the clerical burden on providers by making new and existing digital tools more efficient, connected, and seamlessly actionable.
Creating Value for All
To truly transform health care to a platform model, we know we cannot lead alone.
That is why we are offering a blueprint for platform transformation that is scalable, dynamic, highly effective, and deeply innovative.
To be successful, there must be a role and space for all, including medical centers, pharma, biotech, device manufacturers, startups, NGOs, governments, collaborators, and consumers.
With likeminded collaborators and partners from across the health care sector contributing their unique expertise, together we can achieve outcomes for our patients that were previously unimaginable.
To truly transform health care to a platform model, we know we cannot lead alone.
Embracing platform transformation and platform thinking specifically for health care will enable us to see greater innovation and discovery …
… that results in more cures and new approaches to high quality, accessible, equitable, affordable care for patients worldwide.
This is our vision for the future of health.
Embracing platform transformation and platform thinking specifically for health care will enable us to see greater innovation and discovery …
… that results in more cures and new approaches to high quality, accessible, equitable, affordable care for patients worldwide.
This is our vision for the future of health.
Originally published at https://www.linkedin.com.
