Achieving a rapid and continuous learning health system requires socio-technical harmonization of research and operational IT
Year: 2025
Type: review
Abstract: This perspective identifies challenges in integrating clinical research and care delivery in a rapid and continuous Learning Health System (LHS), focusing on Information technology (IT) systems and workforce harmonization. Based on our experiences, we analyzed differences in funding mechanisms, governance, regulatory frameworks, priorities, workforce culture, technology architecture, risk tolerance, and data standardization. We highlight significant barriers to the LHS implementation caused by IT misalignment between clinical research and patient care and propose strategies to overcome these challenges.
Source: npj Health Systems
Authors: Cong Liu, Casey N. Ta, Elisabeth S. DiMaria, Rachel C. Shelton, Karthik Natarajan, Soumitra Sengupta, James J. Cimino, Chunhua Weng
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,790
Awards: Deep phenotyping in Electronic Health Records for Genomic Medicine, EHR-based Genomic Risk Assessment and Management for Diverse Populations, Big Data Methods for Comprehensive Similarity based Risk Prediction, RESCUE: Rare Disease Detection and Escalation Support via a Learning Health System, Clinical and Translational Science Award, Fair Phenotype Annotation and Genomic Reinterpretation
OpenAlex ID: W4413400183
