Implementation and Integration of Risk Evaluation and Mitigation Strategies into the Health Care System.
Author(s): Neyarapally, George A, Millikan, Edward D, Manzo, Claudia
DOI: 10.1055/s-0043-1767683
Author(s): Neyarapally, George A, Millikan, Edward D, Manzo, Claudia
DOI: 10.1055/s-0043-1767683
Reuse of health care data for various purposes, such as the care process, for quality measurement, research, and finance, will become increasingly important in the future; therefore, "Collect Once Use Many Times" (COUMT). Clinical information models (CIMs) can be used for content standardization. Data collection for national quality registries (NQRs) often requires manual data entry or batch processing. Preferably, NQRs collect required data by extracting data recorded during the health [...]
Author(s): Schepens, Maike H J, Trompert, Annemarie C, van Hooff, Miranda L, van der Velde, Erik, Kallewaard, Marjon, Verberk-Jonkers, Iris J A M, Cense, Huib A, Somford, Diederik M, Repping, Sjoerd, Tromp, Selma C, Wouters, Michel W J M
DOI: 10.1055/s-0043-1767681
Access to credible and relevant health care information is an unmet need for the transgender and gender-diverse (TGD) community. This paper describes the community engagement methods and resulting community priorities as part of a codesign process for the development of a Transgender Health Information Resource (TGHIR) application.
Author(s): Morse, Brad, Allen, Marvyn, Schilling, Lisa M, Soares, Andrey, DeSanto, Kristen, Holliman, Brooke Dorsey, Lee, Rita S, Kwan, Bethany M
DOI: 10.1055/s-0043-1763290
As a high patient-throughput clinic, the Royal Children's Hospital's multidisciplinary burns clinic's efficiency of clinic workflow and streamlined patient assessment is crucial. The clinic has been using a customized "burns assessment tool" (BAT) as part of its integrated electronic health record (EHR) since 2016.
Author(s): Tanny, Sharman P Tan, Hsu, Rebecca P, Teague, Warwick J, Truong, Diana, Cheng, Daryl R
DOI: 10.1055/s-0043-1763289
Residents of the Bronx suffer marked health disparities due to socioeconomic and other factors. The coronavirus disease 2019 pandemic worsened these health outcome disparities and health care access disparities, especially with the abrupt transition to online care.
Author(s): Lane, Sarah, Fitzsimmons, Emma, Zelefksy, Abraham, Klein, Jonathan, Kaur, Savneet, Viswanathan, Shankar, Garg, Madhur, Feldman, Jonathan M, Jariwala, Sunit P
DOI: 10.1055/a-2041-4500
Inflammatory bowel disease (IBD) commonly leads to iron deficiency anemia (IDA). Rates of screening and treatment of IDA are often low. A clinical decision support system (CDSS) embedded in an electronic health record could improve adherence to evidence-based care. Rates of CDSS adoption are often low due to poor usability and fit with work processes. One solution is to use human-centered design (HCD), which designs CDSS based on identified user [...]
Author(s): Miller, Steven D, Murphy, Zachary, Gray, Joshua H, Marsteller, Jill, Oliva-Hemker, Maria, Maslen, Andrew, Lehmann, Harold P, Nagy, Paul, Hutfless, Susan, Gurses, Ayse P
DOI: 10.1055/a-2040-0578
Identifying children ready for transfer out of the pediatric intensive care unit (PICU) is an area that may benefit from clinical decision support (CDS). We previously implemented a quality improvement (QI) initiative to accelerate the transfer evaluation of non-medically complex PICU patients with viral bronchiolitis receiving floor-appropriate respiratory support.
Author(s): Martin, Blake, Mulhern, Brendan, Majors, Melissa, Rolison, Elise, McCombs, Tiffany, Smith, Grant, Fisher, Colin, Diaz, Elizabeth, Downen, Dana, Brittan, Mark
DOI: 10.1055/a-2036-0337
Patient and provider-facing screening tools for social determinants of health have been explored in a variety of contexts; however, effective screening and resource referral remain challenging, and less is known about how patients perceive chatbots as potential social needs screening tools. We investigated patient perceptions of a chatbot for social needs screening using three implementation outcome measures: acceptability, feasibility, and appropriateness.
Author(s): Langevin, Raina, Berry, Andrew B L, Zhang, Jinyang, Fockele, Callan E, Anderson, Layla, Hsieh, Dennis, Hartzler, Andrea, Duber, Herbert C, Hsieh, Gary
DOI: 10.1055/a-2035-5342
This study aimed to (1) determine the impact of COVID-19 (coronavirus disease 2019) and the corresponding increase in use of telemedicine on volume, efficiency, and burden of electronic health record (EHR) usage by residents and fellows; and (2) to compare these metrics with those of attending physicians.
Author(s): Mani, Kyle, Canarick, Jay, Ruan, Elise, Liu, Jianyou, Kitsis, Elizabeth, Jariwala, Sunit P
DOI: 10.1055/a-2031-9437
Integrating genetic test results into the electronic health record (EHR) is essential for integrating genetic testing into clinical practice. This article describes the organizational challenges of integrating discrete apolipoprotein L1 (APOL1) genetic test results into the EHR for a research study on culturally sensitive genetic counseling for living kidney donors.
Author(s): Rasmussen, Luke V, Agrawal, Akansha H, Botsford, Paul, Powers, Andrew, Schnoebelen, Jeffrey, Xinos, Stavroula, Harper, Gail, Thanner, Jane, McCabe, Sarah, Moore, Stephen, Wicklund, Catherine A, Duquette, Debra, Gordon, Elisa J
DOI: 10.1055/s-0043-1767680