Active Participation and Engagement of Residents in Clinical Informatics.
Author(s): Quirós, Fernán Gonzalez Bernaldo de, Baum, Analía, Lira, Antonio
DOI: 10.1055/s-0038-1676970
Author(s): Quirós, Fernán Gonzalez Bernaldo de, Baum, Analía, Lira, Antonio
DOI: 10.1055/s-0038-1676970
Health systems could adopt population-level approaches to screening by identifying potential screening candidates from the electronic health record and reaching out to them via the patient portal. However, whether patients would read or act on sent information is unknown. We examined the feasibility of this digital health outreach strategy.
Author(s): Dharod, Ajay, Bellinger, Christina, Foley, Kristie, Case, L Doug, Miller, David
DOI: 10.1055/s-0038-1676807
Through the Health Information Technology for Economic and Clinical Health Act of 2009, the federal government invested $26 billion in electronic health records (EHRs) to improve physician performance and patient safety; however, these systems have not met expectations. One of the cited issues with EHRs is the human-computer interaction, as exhibited by the excessive number of interactions with the interface, which reduces clinician efficiency. In contrast, real-time location systems (RTLS)-technologies [...]
Author(s): King, Kevin, Quarles, John, Ravi, Vaishnavi, Chowdhury, Tanvir Irfan, Friday, Donia, Sisson, Craig, Feng, Yusheng
DOI: 10.1055/s-0038-1675812
Patient-centered symptom assessment and management tools allow patients to perform self-assessments and engage in self-symptom management. Efficacious tools exist for reducing symptom distress; however, little is known about feature-specific use.
Author(s): Berry, Donna L, Blonquist, Traci M, Nayak, Manan M, Grenon, Nina, Momani, Thaer G, McCleary, Nadine J
DOI: 10.1055/s-0038-1675810
Electronic health records (EHRs) are transforming the way health care is delivered. They are central to improving the quality of patient care and have been attributed to making health care more accessible, reliable, and safe. However, in recent years, evidence suggests that specific features and functions of EHRs can introduce new, unanticipated patient safety concerns that can be mitigated by safe configuration practices.
Author(s): Dhillon-Chattha, Pritma, McCorkle, Ruth, Borycki, Elizabeth
DOI: 10.1055/s-0038-1675210
This article describes the method of integrating a manual pediatric emergency department sepsis screening process into the electronic health record that leverages existing clinical documentation and keeps providers in their current, routine clinical workflows.
Author(s): Lloyd, Julia K, Ahrens, Erin A, Clark, Donnie, Dachenhaus, Terri, Nuss, Kathryn E
DOI: 10.1055/s-0038-1675211
Clinician progress notes are an important record for care and communication, but there is a perception that electronic notes take too long to write and may not accurately reflect the patient encounter, threatening quality of care. Automatic speech recognition (ASR) has the potential to improve clinical documentation process; however, ASR inaccuracy and editing time are barriers to wider use. We hypothesized that automatic text processing technologies could decrease editing time [...]
Author(s): Lybarger, Kevin J, Ostendorf, Mari, Riskin, Eve, Payne, Thomas H, White, Andrew A, Yetisgen, Meliha
DOI: 10.1055/s-0038-1673417
Patient-generated health data (PGHD) collected digitally with mobile health (mHealth) technology has garnered recent excitement for its potential to improve precision management of chronic conditions such as atrial fibrillation (AF), a common cardiac arrhythmia. However, sustained engagement is a major barrier to collection of PGHD. Little is known about barriers to sustained engagement or strategies to intervene upon engagement through application design.
Author(s): Reading, Meghan, Baik, Dawon, Beauchemin, Melissa, Hickey, Kathleen T, Merrill, Jacqueline A
DOI: 10.1055/s-0038-1672138
Insulin therapy, medical nutrition therapy, and physical activity are required for the treatment of type 1 diabetes (T1D). There is a lack of studies in real-life environments that characterize patient-reported data from logs, activity trackers, and medical devices (e.g., glucose sensors) in the context of exercise.
Author(s): Groat, Danielle, Kwon, Hyo Jung, Grando, Maria Adela, Cook, Curtiss B, Thompson, Bithika
DOI: 10.1055/s-0038-1676458
Author(s): Basch, Peter, Smith, Jeffery R L
DOI: 10.1055/s-0038-1676337