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A Web Tool for Generating High Quality Machine-readable Biological Pathways

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Published on: February 8, 2017

Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare.

Stephen K Woody¹, David Burdick², Hilmar Lapp³

¹1Duke University School of Medicine, 701W. Main St, Durham NC, 27701 USA.

NPJ Digital Medicine

|March 7, 2020

Summary

Healthcare data access is challenging due to siloed electronic health records (EHRs). APIs create flexible microservice ecosystems, enabling efficient data sharing for researchers and improved healthcare systems.

Keywords:

Public health Translational research

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Area of Science:

Health Informatics
Computer Science
Data Science

Background:

Healthcare data, particularly from electronic health records (EHRs), is vast but difficult to access.
Siloed data in EHRs presents significant technical, legal, ethical, and social barriers to research and system improvement.
Learning health systems require efficient, verifiable, and compliant data access.

Purpose of the Study:

To explore the use of microservice ecosystems and APIs for overcoming healthcare data access challenges.
To illustrate how APIs can facilitate flexible and efficient data sharing among diverse users and applications.
To demonstrate the potential of interconnected API-powered ecosystems in healthcare systems.

Main Methods:

Conceptualizing a microservice architecture for healthcare data.
Designing data access through Application Programming Interfaces (APIs).
Utilizing two case studies to showcase participation in API-driven healthcare ecosystems.

Main Results:

A service-driven design using APIs decouples data from clients, enhancing flexibility.
APIs enable diverse users to access data using their preferred languages and clients (e.g., iOS, web, R).
Interconnected ecosystems powered by APIs demonstrate significant ecosystem-building potential.

Conclusions:

Microservice ecosystems and APIs offer a viable solution to healthcare data accessibility challenges.
API-driven approaches promote flexibility and interoperability in accessing and utilizing health data.
Participating in interconnected API ecosystems can transform healthcare research and delivery.