Thank You for a Successful 2021!
Author(s): Sittig, Dean F, Petersen, Carolyn, Downs, Stephen M, Lehmann, Jenna S, Lehmann, Christoph U
DOI: 10.1055/s-0042-1744385
Author(s): Sittig, Dean F, Petersen, Carolyn, Downs, Stephen M, Lehmann, Jenna S, Lehmann, Christoph U
DOI: 10.1055/s-0042-1744385
Although information and communication technologies (ICT) are becoming more common among health care providers, there is little evidence on how ICT can support health care aides. Health care aides, also known as personal care workers, are unlicensed service providers who encompass the second largest workforce, next to nurses, that provide care to older adults in Canada.
Author(s): Perez, Hector, Neubauer, Noelannah, Marshall, Samantha, Philip, Serrina, Miguel-Cruz, Antonio, Liu, Lili
DOI: 10.1055/s-0042-1743238
Postpartum depression (PPD) remains an understudied research area despite its high prevalence. The goal of this study is to develop an ontology to aid in the identification of patients with PPD and to enable future analyses with electronic health record (EHR) data.
Author(s): Morse, Rebecca B, Bretzin, Abigail C, Canelón, Silvia P, D'Alonzo, Bernadette A, Schneider, Andrea L C, Boland, Mary R
DOI: 10.1055/s-0042-1743240
Electronic health (eHealth) usability evaluations of rapidly developed eHealth systems are difficult to accomplish because traditional usability evaluation methods require substantial time in preparation and implementation. This illustrates the growing need for fast, flexible, and cost-effective methods to evaluate the usability of eHealth systems. To address this demand, the present study systematically identified and expert-validated rapidly deployable eHealth usability evaluation methods.
Author(s): Sinabell, Irina, Ammenwerth, Elske
DOI: 10.1055/s-0041-1740919
Author(s): Chen, Alyssa, Wang, Benjamin K, Parker, Sherry, Chowdary, Ashish, Flannery, Katherine C, Basit, Mujeeb
DOI: 10.1055/s-0042-1743244
One key aspect of a learning health system (LHS) is utilizing data generated during care delivery to inform clinical care. However, institutional guidelines that utilize observational data are rare and require months to create, making current processes impractical for more urgent scenarios such as those posed by the COVID-19 pandemic. There exists a need to rapidly analyze institutional data to drive guideline creation where evidence from randomized control trials are [...]
Author(s): Dash, Dev, Gokhale, Arjun, Patel, Birju S, Callahan, Alison, Posada, Jose, Krishnan, Gomathi, Collins, William, Li, Ron, Schulman, Kevin, Ren, Lily, Shah, Nigam H
DOI: 10.1055/s-0042-1743241
The purpose of this study was to explore the effect of telehealth education and care guidance via WeChat (Tencent Ltd., Shenzhen, China; a popular smartphone-based social media application) on improving the quality of life of parents of children with type-1 diabetes mellitus.
Author(s): Huang, Mei-Xia, Wang, Mei-Chun, Wu, Bi-Yu
DOI: 10.1055/s-0042-1743239
Author(s): Turer, Robert W, Levy, Bruce P, Hron, Jonathan D, Pageler, Natalie M, Mize, Dara E, Kim, Ellen, Lehmann, Christoph U
DOI: 10.1055/s-0042-1744386
Food practice plays an important role in health. Food practice data collected in daily living settings can inform clinical decisions. However, integrating such data into clinical decision-making is burdensome for both clinicians and patients, resulting in poor adherence and limited utilization. Automation offers benefits in this regard, minimizing this burden resulting in a better fit with a patient's daily living routines, and creating opportunities for better integration into clinical workflow [...]
Author(s): Ozkaynak, Mustafa, Voida, Stephen, Dunn, Emily
DOI: 10.1055/s-0042-1743237
Providing patients with medical records access is one strategy that health systems can utilize to reduce medical errors. However, how often patients request corrections to their records on a national scale is unknown.
Author(s): Nguyen, Oliver T, Hong, Young-Rock, Alishahi Tabriz, Amir, Hanna, Karim, Turner, Kea
DOI: 10.1055/s-0042-1743236