Direct Secure Messaging in Practice-Recommendations for Improvements.
Author(s): Arvisais-Anhalt, Simone, Wickenhauser, Kathryn Ayers, Lusk, Katherine, Lehmann, Christoph U, McCormack, James L, Feterik, Kristian
DOI: 10.1055/s-0042-1753540
Author(s): Arvisais-Anhalt, Simone, Wickenhauser, Kathryn Ayers, Lusk, Katherine, Lehmann, Christoph U, McCormack, James L, Feterik, Kristian
DOI: 10.1055/s-0042-1753540
We previously developed and validated a predictive model to help clinicians identify hospitalized adults with coronavirus disease 2019 (COVID-19) who may be ready for discharge given their low risk of adverse events. Whether this algorithm can prompt more timely discharge for stable patients in practice is unknown.
Author(s): Major, Vincent J, Jones, Simon A, Razavian, Narges, Bagheri, Ashley, Mendoza, Felicia, Stadelman, Jay, Horwitz, Leora I, Austrian, Jonathan, Aphinyanaphongs, Yindalon
DOI: 10.1055/s-0042-1750416
Automated electronic result notifications can alert health care providers of important clinical results. In contrast to historical notification systems, which were predominantly focused on critical laboratory abnormalities and often not very customizable, modern electronic health records provide capabilities for subscription-based electronic notification. This capability has not been well studied.
Author(s): Slovis, Benjamin H, Vervilles, William J K, Vawdrey, David K, Swartz, Jordan L, Winans, Catherine, Kairys, John C, Riggio, Jeffrey M
DOI: 10.1055/s-0042-1751092
Author(s): Zarrabi, Maiah, Li-Fossum, Leesa, Tseng, Betty, Lockett, Kelly, Shamsian, Arash, Sim, Myung Shin, Kozman, Daniel M, Ross, Mindy K
DOI: 10.1055/s-0042-1750356
The objective of this study is to investigate the relationships between health literacy and numeracy (HLN) and patient portal use, measured in inpatient and outpatient settings.
Author(s): Di Tosto, Gennaro, Walker, Daniel M, Sieck, Cynthia J, Wallace, Lorraine, MacEwan, Sarah R, Gregory, Megan E, Scarborough, Seth, Huerta, Timothy R, McAlearney, Ann Scheck
DOI: 10.1055/s-0042-1751239
Partnerships among patients, families, caregivers, and clinicians are critical to helping patients lead their best lives given their specific genetics, conditions, circumstances, and the environments in which they live, work, and play. These partnerships extend to the development of health information technology, including clinical decision support (CDS). Design of these technologies, however, often occurs without a profound understanding of the true needs, wants, and concerns of patients and family members [...]
Author(s): van Leeuwen, Danny, Mittelman, Michael, Fabian, Lacy, Lomotan, Edwin A
DOI: 10.1055/s-0042-1750355
Falls in community-dwelling older adults are common, and there is a lack of clinical decision support (CDS) to provide health care providers with effective, individualized fall prevention recommendations.
Author(s): Rice, Hannah, Garabedian, Pamela M, Shear, Kristen, Bjarnadottir, Ragnhildur I, Burns, Zoe, Latham, Nancy K, Schentrup, Denise, Lucero, Robert J, Dykes, Patricia C
DOI: 10.1055/s-0042-1750360
Health information exchange (HIE) allows healthcare providers to access a patient's medical information to improve patient care continuity. The standardized data realize the HIE values. Since the Health Level 7 Clinical Document Architecture (CDA) is flexible, implementation guides (IG) are needed for use cases. Although many CDA IGs have been developed, they did not describe how these CDA IGs were developed. A national CDA IG that meets the local requirements [...]
Author(s): Jung, Sungwon, Bae, Sungchul, Seong, Donghyeong, Yi, Byoung-Kee
DOI: 10.1055/s-0042-1749331
Over one-third of deaths recorded at health facilities in Zambia are brought in dead (BID) and the causes of death (CODs) are not fully analyzed. The use of automated verbal autopsy (VA) has reportedly determined the CODs of more BID cases than the death notification form issued by the hospital. However, the validity of automated VA is yet to be fully investigated.
Author(s): Yokobori, Yuta, Matsuura, Jun, Sugiura, Yasuo, Mutemba, Charles, Julius, Peter, Himwaze, Cordelia, Nyahoda, Martin, Mwango, Chomba, Kazhumbula, Lloyd, Yuasa, Motoyuki, Munkombwe, Brian, Mucheleng'anga, Luchenga
DOI: 10.1055/s-0042-1749118
Cancer staging information is an essential component of cancer research. However, the information is primarily stored as either a full or semistructured free-text clinical document which is limiting the data use. By transforming the cancer-specific data to the Observational Medical Outcome Partnership Common Data Model (OMOP CDM), the information can contribute to establish multicenter observational cancer studies. To the best of our knowledge, there have been no studies on OMOP [...]
Author(s): Yoo, Sooyoung, Yoon, Eunsil, Boo, Dachung, Kim, Borham, Kim, Seok, Paeng, Jin Chul, Yoo, Ie Ryung, Choi, In Young, Kim, Kwangsoo, Ryoo, Hyun Gee, Lee, Sun Jung, Song, Eunhye, Joo, Young-Hwan, Kim, Junmo, Lee, Ho-Young
DOI: 10.1055/s-0042-1748144