An Alternate Viewpoint on Information Sharing: There is no Paradox.
Author(s): Ozeran, Larry, Schreiber, Richard
DOI: 10.1055/s-0040-1715652
Author(s): Ozeran, Larry, Schreiber, Richard
DOI: 10.1055/s-0040-1715652
Hospital readmissions are a key quality metric, which has been tied to reimbursement. One strategy to reduce readmissions is to direct resources to patients at the highest risk of readmission. This strategy necessitates a robust predictive model coupled with effective, patient-centered interventions.
Author(s): Romero-Brufau, Santiago, Wyatt, Kirk D, Boyum, Patricia, Mickelson, Mindy, Moore, Matthew, Cognetta-Rieke, Cheristi
DOI: 10.1055/s-0040-1715827
Performing high-quality surveillance for influenza-associated hospitalization (IAH) is challenging, time-consuming, and essential.
Author(s): Burke, Patrick C, Shirley, Rachel Benish, Raciniewski, Jacob, Simon, James F, Wyllie, Robert, Fraser, Thomas G
DOI: 10.1055/s-0040-1715651
Social determinants of health play an important role in the likelihood of readmission and therefore should be considered in care transition planning. Unfortunately, some social determinants that can be of value to care transition planners are missing in the electronic health record. Rather than trying to understand the value of data that are missing, decision makers often exclude these data. This exclusion can lead to failure to design appropriate care [...]
Author(s): Feldman, Sue S, Davlyatov, Ganisher, Hall, Allyson G
DOI: 10.1055/s-0040-1715650
To demonstrate the application of the Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND) principles described in our companion article to hypertension treatments and assess internal and external validity of the generated evidence.
Author(s): Schuemie, Martijn J, Ryan, Patrick B, Pratt, Nicole, Chen, RuiJun, You, Seng Chan, Krumholz, Harlan M, Madigan, David, Hripcsak, George, Suchard, Marc A
DOI: 10.1093/jamia/ocaa124
Recent health care developments include connected health interventions to improve chronic disease management and/or promote actions reducing aggravating risk factors for conditions such as cardiovascular diseases. Adherence is one of the main challenges for ensuring the correct use of connected health interventions over time.
Author(s): Agher, Dahbia, Sedki, Karima, Tsopra, Rosy, Despres, Sylvie, Jaulent, Marie-Christine
DOI: 10.1055/s-0040-1715649
An electronic pathway for the management of adhesive small bowel obstruction (SBO) was built and implemented on top of the electronic health record. The aims of this study are to describe the development of the electronic pathway and to report early outcomes.
Author(s): Lyu, Heather, Manca, Caitlin, McGrath, Casey, Beloff, Jennifer, Plaks, Nina, Postilnik, Anatoly, Borchers, Amanda, Diaz, Nicasio, McGovern, Sean, Havens, Joaquim, Kachalia, Allen, Landman, Adam
DOI: 10.1055/s-0040-1715478
With the increased usage of dashboard reporting systems to monitor and track patient panels by clinical users, developers must ensure that the information displays they produce are accurate and intuitive. When evaluating usability of a clinical dashboard among potential end users, developers oftentimes rely on methods such as questionnaires as opposed to other, more time-intensive strategies that incorporate direct observation.
Author(s): Richter Lagha, Regina, Burningham, Zachary, Sauer, Brian C, Leng, Jianwei, Peters, Celena, Huynh, Tina, Patel, Shardool, Halwani, Ahmad S, Kramer, B Josea
DOI: 10.1055/s-0040-1714693
To measure US hospitals' adoption of electronic health record (EHR) functions that support care for older adults, focusing on structured documentation of the 4Ms (What Matters, Medication, Mentation, and Mobility) and electronic health information exchange/communication with patients, caregivers, and long-term care providers.
Author(s): Adler-Milstein, Julia, Raphael, Katherine, Bonner, Alice, Pelton, Leslie, Fulmer, Terry
DOI: 10.1093/jamia/ocaa129
An area deprivation index (ADI) is a geographical measure that accounts for socioeconomic factors (e.g., crime, health, and education). The state of Ohio developed an ADI associated with infant mortality: Ohio Opportunity Index (OOI). However, a powerful tool to present this information effectively to stakeholders was needed.
Author(s): Fareed, Naleef, Swoboda, Christine M, Jonnalagadda, Pallavi, Griesenbrock, Tyler, Gureddygari, Harish R, Aldrich, Alison
DOI: 10.1055/s-0040-1714249