Title

AWS re:Invent 2023 - Beyond the EHR: Delivering timely, accessible care with One Medical (AMZ204)

Summary

One Medical, now part of Amazon, operates a membership-based healthcare model and has built its own technology platform on AWS.
Jeff Eckhouse, a Principal Business Development Manager at AWS, introduces the session and highlights the dissatisfaction with current healthcare experiences.
Stuart Parmenter, CTO of One Medical, discusses the company's mission to transform healthcare through technology, people, and processes.
One Medical's platform, One Life, is a suite of applications that includes patient-facing applications, provider applications, and internal analytics.
The platform is built on AWS, leveraging services like API Gateway, ECS, RDS, Lambda, DynamoDB, ElastiCache, OpenSearch, and S3.
AWS services help ensure security and scalability, which are critical in healthcare.
Patrick, a principal engineer at One Medical, explains how the platform uses domain-oriented primitives and open standards like FHIR to ensure interoperability and future-proofing.
Machine learning, including generative AI, is applied to solve real-world health problems, such as document classification and message routing.
The platform enables a flywheel effect, improving patient and provider experiences and reducing costs.
The session concludes with a call to explore AWS services like HealthLake for building healthcare applications and a reminder to complete the session survey.

One Medical's decision to build its own EHR and technology platform is driven by the need for a seamless, integrated experience that off-the-shelf solutions could not provide.
The use of AWS services has allowed One Medical to focus on differentiating their patient care experience rather than managing infrastructure.
The adoption of FHIR standards for interoperability is a strategic move that positions One Medical to easily exchange data with other health systems and future-proof their platform.
Machine learning is being used to automate and improve operational tasks, such as document classification and message routing, which can lead to reduced provider burnout and improved patient experiences.
The presentation suggests a cautious approach to generative AI in healthcare, emphasizing the importance of keeping a human in the loop to avoid potential risks.
AWS HealthLake is highlighted as a promising tool for new healthcare applications, offering a HIPAA-hardened, secure platform with built-in medical primitives and interoperability features.