A recently published special issue of eGEMs explores strategic uses of evidence to transform healthcare delivery systems. In A Framework to Support the Sharing and Re-Use of Computable Phenotype Definitions Across Health Care Delivery and Clinical Research Applications, Rachel Richesson and Michelle Smerek of the NIH Collaboratory’s Phenotypes, Data Standards, and Data Quality Core, along with coauthor C. Blake Cameron, envision an infrastructure that facilitates re-use of computable phenotypes in a learning healthcare system.
The authors elaborate on four required components of the framework:
- Searchable libraries of explicitly defined phenotype definitions
- Knowledge bases with information and methods
- Tools to identify, evaluate, and implement existing phenotype definitions
- Motivated users and stakeholders
Read the entire eGEMs open access publication here. eGEMs (Generating Evidence & Methods to improve patient outcomes), a product of AcademyHealth’s Electronic Data Methods (EDM) Forum, is a peer-reviewed, open access journal that seeks to accelerate research and quality improvement using electronic health data.
Related resources: You can find extensive information on computable phenotypes in the Living Textbook chapter and in Tools for Research.