Michelle M. Smerek

TL;DR: The NIH Collaboratory is introduced, focusing on its Phenotype, Data Standards, and Data Quality Core, and early observations from researchers implementing PCTs within large healthcare systems are presented, identifying gaps in knowledge and presenting an informatics research agenda.

TL;DR: It appears that for clinically distinct and homogenous conditions, the recall of FBM is sufficient, and different mapping approaches yield different collections of ICD-10-CM codes.

TL;DR: A framework for re-using computable phenotype definitions and sharing experience across health care delivery and clinical research applications is articulated, and gaps and areas that need attention and collaborative solutions are highlighted.

TL;DR: Drawing from the experience, 4 broad categories of informatics-related challenges are presented: using clinical data for research, integrating data from heterogeneous systems, using electronic health records to support intervention delivery or health system change, and assessing and improving data capture to define study populations and outcomes.

TL;DR: This study showed that user-centered usability methods can identify important issues and capture information that can enhance the participant’s experience and may improve the quality of study tools.