Integrating Patient-Generated Digital Data Into Mental Health Therapy: Mixed Methods Analysis of User Experience.

Background: Therapists and their patients increasingly discuss digital data from social media, smartphone sensors, and other online engagements within the context of psychotherapy.

Objective: We examined patients' and mental health therapists' experiences and perceptions following a randomized controlled trial in which they both received regular summaries of patients' digital data (eg, dashboard) to review and discuss in session. The dashboard included data that patients consented to share from their social media posts, phone usage, and online searches.

Using the Translational Science Benefits Model to assess the impact of the Penn Implementation Science Center in Cancer Control.

Traditional approaches for evaluating the impact of scientific research - mainly scholarship (i.e., publications, presentations) and grant funding - fail to capture the full extent of contributions that come from larger scientific initiatives.

A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection.

The long-term complications of COVID-19, known as the post-acute sequelae of SARS-CoV-2 infection (PASC), significantly burden healthcare resources. Quantifying the demand for post-acute healthcare is essential for understanding patients' needs and optimizing the allocation of valuable medical resources for disease management. Driven by this need, we developed a heterogeneous latent transfer learning framework (Latent-TL) to generate critical insights for individual health systems in a distributed research network.

Design and rationale of penn medicine healthy heart, a randomized trial of effectiveness of a centrally organized approach to blood pressure and cholesterol improvement among patients at elevated risk of atherosclerotic cardiovascular disease.

Rationales: Atherosclerotic Cardiovascular Disease (ASCVD) is the leading cause of morbidity and mortality in the United States. Suboptimal control of hypertension and hyperlipidemia are common factors contributing to ASCVD risk. The Penn Medicine Healthy Heart (PMHH) Study is a randomized clinical trial testing the effectiveness of a system designed to offload work from primary care clinicians and improve patient follow-through with risk reduction strategies by using a centralized team of nonclinical navigators and advanced practice providers, remote monitoring, and bi-directional text messaging, augmented by behavioral science engagement strategies.