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The study sought to identify barriers to and facilitators of point-of-care information seeking and use of knowledge resources.

This study aimed to develop a novel, regulatory-compliant approach for openly exposing integrated clinical and environmental exposures data: the Integrated Clinical and Environmental Exposures Service (ICEES).

We assess working relationships and collaborations within and between diabetes health care provider teams using social network analysis and a multi-scale community detection.

The objective of this study was to assess the potential of combining graph learning methods with latent variable estimation methods for mining clinically useful information from observational clinical data sets.

The study sought to develop a criteria-based scoring tool for assessing drug-disease knowledge base content and creation of a subset and to implement the subset across multiple Kaiser Permanente (KP) regions.

Neurologists perform a significant amount of consultative work. Aggregative electronic health record (EHR) dashboards may help to reduce consultation turnaround time (TAT) which may reflect time spent interfacing with the EHR.

The development and adoption of health care common data models (CDMs) has addressed some of the logistical challenges of performing research on data generated from disparate health care systems by standardizing data representations and leveraging standardized terminology to express clinical information consistently. However, transforming a data system into a CDM is not a trivial task, and maintaining an operational, enterprise capable CDM that is incrementally updated within a data warehouse [...]

Mobile health (mHealth) apps may prove to be useful tools for supporting chronic disease management. We assessed the feasibility of implementing a clinically integrated mHealth app and practice model to facilitate between-visit asthma symptom monitoring as per guidelines and with the help of patient-reported outcomes (PRO).