The American journal of managed care
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Computable social risk factor phenotypes derived from routinely collected structured electronic health record (EHR) or health information exchange (HIE) data may represent a feasible and robust approach to measuring social factors. This study convened an expert panel to identify and assess the quality of individual EHR and HIE structured data elements that could be used as components in future computable social risk factor phenotypes. ⋯ Routinely collected structured data within EHR and HIE systems may reflect patient social risk factors. Identifying and assessing available data elements serves as a foundational step toward developing future computable social factor phenotypes.
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To characterize factors influencing the development and sustainability of data sharing in the Mid-Ohio Farmacy (MOF), a produce referral program implemented in partnership between a community-based organization (the Mid-Ohio Food Collective ["Food Collective"]) and an academic medical center (The Ohio State University Wexner Medical Center [OSUWMC]). ⋯ Our findings suggest that current regulatory frameworks are misspecified to the growing interest in cross-sector partnerships between health care and community-based organizations. Future efforts to support these relationships should consider clarifying rules around data sharing and increasing Medicaid support for nonmedical, health-related social needs.
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To determine the degree of telemedicine expansion overall and across patient subpopulations and diagnoses. We hypothesized that telemedicine visits would increase substantially due to the need for continuity of care despite the disruptive effects of COVID-19. ⋯ Telemedicine expanded rapidly during the COVID-19 pandemic across a broad range of clinical conditions and demographics. Although levels declined later in 2020, telemedicine utilization remained markedly higher than 2019 and 2018 levels. Trends suggest that telemedicine will likely play a key role in postpandemic care delivery.
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During a surge of COVID-19 cases, the majority of care delivery at a large academic medical center moved to virtual care. Due to COVID-19-associated regulatory changes, virtual care is now delivered through telephone and videoconferencing platforms. Although virtual platforms allow patients to access care while socially distancing, patients with limited English proficiency (LEP) face structural barriers to these platforms, including lack of access to technology, need for medical interpreters, unfriendly patient portals, and increased privacy concerns. ⋯ Strategies for addressing privacy concerns for patients with LEP included developing a low-literacy script and other actions that address patient concerns about Immigration and Customs Enforcement and mitigate perceived risk, as well as identifying a virtual platform that meets privacy regulations and does not require a patient to download an application to their phone or computer to join. Strategies for integrating medical interpreters into virtual visits included assessing existing virtual platforms for the ability to host a third party, changing the electronic health record software (Epic) interface, and convening directors of interpreter departments at each site to ensure comprehensive system rollout. Health care organizations that rely heavily on virtual visits to provide patient care will need to take all these challenges into consideration for patients with LEP.
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To assess the ability of accountable care organizations (ACOs) to use electronic health record (EHR) data for quality. ⋯ ACOs have diverse structures that often result in the usage of multiple EHR systems. This has the potential to cause serious delays when CMS begins requiring ACOs to report their quality measures through their EHRs in 2022.