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Determine the extent to which use of Clinical Video Telehealth to Home (VT2H) for primary care licensed independent practitioner visits (PCLIPVs) varied over time and across the Veterans Health Administration (VA) during the first 18 months of the COVID pandemic, and if there was an association between VT2H usage and VA station characteristics.

This study aims to identify the people living with HIV (PWH) and pre-exposure prophylaxis (PrEP) users in the All of Us (AoU) database by integrating information from both electronic health record (EHR)- and self-reported survey data.

We developed a push notification allowing for an electronic acknowledgment of critical lab results to providers in the intensive care unit.

The Multimodal Maternal Infant Perinatal Outpatient Delivery System (MOMI PODS) was developed to facilitate the pregnancy to postpartum primary care transition, particularly for individuals at risk for severe maternal morbidity, via a unique multidisciplinary model of mother/infant dyadic primary care. Specialized clinical informatics platforms are critical to ensuring the feasibility and scalability of MOMI PODS and a smooth perinatal transition into longitudinal postpartum primary care. In this manuscript, we describe [...]

To define pregnancy episodes and estimate gestational age within electronic health record (EHR) data from the National COVID Cohort Collaborative (N3C).

Tertiary and quaternary (TQ) care refers to complex cases requiring highly specialized health services. Our study aimed to compare the ability of a natural language processing (NLP) model to an existing human workflow in predictively identifying TQ cases for transfer requests to an academic health center.

We have previously developed a natural language processing pipeline using clinical notes written by epilepsy specialists to extract seizure freedom, seizure frequency text, and date of last seizure text for patients with epilepsy. It is important to understand how our methods generalize to new care contexts.

Inflammatory bowel disease (IBD) is a chronic condition that requires close monitoring. Digital health virtual care platforms can enable self-monitoring and allow providers to remotely surveil patients and efficiently identify those with active disease.

i2b2 offers the possibility to store biomedical data of different projects in subject oriented data marts of the data warehouse, which potentially requires data replication between different projects and also data synchronization in case of data changes. We present an approach that can save this effort and assess its query performance in a case study that reflects real-world scenarios.

Text messages used by healthcare organizations to communicate with patients have known limitations for certain populations, especially older adults. This study analyzed text message interactions with over 17 000 patients aged 65 and older during the initial phase of the COVID-19 vaccination campaign. We coded the responses of 4247 patients who responded to this outreach to understand issues they experienced with the text message system. Our analysis highlighted areas for technology [...]