Integrated Care Research
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With the widespread adoption and use of health IT, such as Electronic Health Records, consumer health wearables, and Internet of Things devices, the healthcare delivery system is generating a tremendous amount of electronic data that can be used to automatically evaluate outcomes of clinical care and improve healthcare performance. However, the existing IT infrastructure landscape remains fragmented, siloed, and lacks the evaluation methods needed to continually derive such knowledge and deploy it to providers, patients, families, administrators, payors and other stakeholders.
We seek to advance the development and capabilities of integrated care systems through three main research areas:
(1) Application of blockchain for capturing and sharing healthcare data and AI models in an immutable, trusted, federated and privacy-preserving manner;
(2) Development of AI methods that can perform real-time learning on dynamically generated healthcare data on services, costs, quality and outcomes, with human(s)-in-the-loop feedback; and
(3) Creation of new clinical research frameworks to assess the acceptability, explainability, actionability and outcomes of AI-based interventions to all stakeholders in integrated care systems.
Director: Amar Das
Team Location: IBM Research Cambridge, Cambridge, Massachusetts