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The New Rules of Healthcare Platforms: APIs Enable the Platforming of Healthcare

BY VINCE KURATIS, BRENDAN KEELER, and JODY RANCK

Recent regulations have mandated the use of HL7 FHIR APIs (application programming interfaces) to share health data. The regs apply to healthcare providers, payers, and technology developers who participate in federal programs. Many incumbent healthcare organizations are viewing these mandates as a compliance burden. That’s short-sighted. We recommend a more opportunistic POV.

APIs facilitate the sharing of health data across different devices and platforms. By adopting APIs, healthcare organizations can transform themselves from traditional service providers into powerful platforms that can connect patients, providers, and other stakeholders in new and innovative ways.

This blog post is the fourth in the series on The New Rules of Healthcare Platforms. In this essay, we explore the many benefits of API adoption for healthcare organizations and the key considerations that must be taken into account when implementing APIs:

  • Healthcare’s Data Inflection Point
  • APIs Enable Platform Business Models
  • Barriers, Challenges, Reality Check

Healthcare’s Data Inflection Point

Compared to other industries, healthcare generates a disproportionately large amount of data. According to RBC Capital Markets, “30% of the world’s data volume is being generated by the healthcare industry. By 2025, the compound annual growth rate of data for healthcare will reach 36%. That’s 6% faster than manufacturing, 10% faster than financial services, and 11% faster than media & entertainment.”

Over the past 15 years, new regulations have driven digitization, data interoperability, and data sharing. The goal of regulations has been to liberate patient data that has previously been unstructured and trapped in patient silos. Venture capitalist Kahini Shah summarized these regulatory efforts in her article entitled Healthcare Data APIs – An Upcoming Multi-Billion Dollar Market?:

Recent regulation is forcing digitization, aggregation and transmission of medical records. Congress passed the HITECH Act in 2009, prompting the adoption of electronic health records. Before that medical records were paper based. Healthcare data is incredibly siloed, every American sees an average of 19 providers in their lifetime. Connecting these disparate electronic systems and having them exchange information is called interoperability. In 2020, the HHS and CMS implemented two rules that mandate patient access to their medical records and interoperability. These transformative rules give patients the right to access their data when they need and make it available via APIs. The interoperability rules state that there is no blocking – EHRs must allow data to be shared easily across different systems owned by different vendors.

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Announcing a New Series: “The Health Data Goldilocks Dilemma: Sharing? Privacy? Both?

By ZOYA KHAN

I would like to introduce you to a new ongoing series that THCB will be featuring called “The Health Data Goldilocks Dilemma: Sharing? Privacy? Both?”. It is about time we started talking about health data privacy and policy, and we have just the experts on hand to do so: Vince Kuraitis and Deven McGraw.

The Health Data Goldilocks Dilemma: Sharing? Privacy? Both?” series will cover a whole host of topics that discuss, clarify, and challenge the notion of sharing data and if it should be kept private or made public. On the one hand, sharing health information is essential for clinical care, powering medical discovery, and enabling health system transformation. On the other hand, the public is expressing greater concerns over the privacy of personal health data. This ‘Goldilocks Dilemma’ has pushed US policymakers towards two seemingly conflicting goals: 1) broader data interoperability and data sharing, and 2) enhanced data privacy and data protection.

But this issue is even more nuanced and is influenced by many moving parts including: Federal & State privacy legislation, health technology legislation, policy & interoperability rules, data usage from AI & machine learning tools, data from clinical research, ethical concerns, compensating individuals for their data, health data business models, & many more. 

Fear not, Deven & Vince are here to walk readers through this dilemma and will be providing pieces to help explain what is going on. Most of their discussion & pieces will cover 2 specific affected areas: 1) How are policymakers addressing health data privacy risks, and 2) The impact on business models within the Health Data Goldilocks Dilemma.

We hope you enjoy the series and if you have any pieces to add to it, please email me zoya@thehealthcareblog.com

Zoya Khan is the Editor-in-Chief of THCB & an Associate at SMACK.health