Author(s):
DOI: 10.1093/jamia/ocy141
Personal health records (PHRs) offer patients a portal to view lab results, communicate with their doctors, and refill medications. Expanding PHR access to mobile devices could increase patients' engagement with their PHRs. We examined whether access to a mobile-optimized PHR changed the frequency and timeliness of PHR use among adult patients with diabetes in an integrated delivery system. Among patients originally using the PHR only by computer, PHR use frequency [...]
Author(s): Graetz, Ilana, Huang, Jie, Brand, Richard, Hsu, John, Reed, Mary E
DOI: 10.1093/jamia/ocy129
Author(s): Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocy167
Assess information integrity (concordance and completeness of documented exam indications from the electronic health record [EHR] imaging order requisition, compared to EHR provider notes), and assess potential impact of indication inaccuracies on exam planning and interpretation.
Author(s): Lacson, Ronilda, Laroya, Romeo, Wang, Aijia, Kapoor, Neena, Glazer, Daniel I, Shinagare, Atul, Ip, Ivan K, Malhotra, Sameer, Hentel, Keith, Khorasani, Ramin
DOI: 10.1093/jamia/ocy133
The prevalence of moderate or complex (moderate-complex) congenital heart defects (CHDs) among adults is increasing due to improved survival, but many patients experience lapses in specialty care or their CHDs are undocumented in the medical system. There is, to date, no efficient approach to identify this population.
Author(s): Diallo, Alpha Oumar, Krishnaswamy, Asha, Shapira, Stuart K, Oster, Matthew E, George, Mary G, Adams, Jenna C, Walker, Elizabeth R, Weiss, Paul, Ali, Mohammed K, Book, Wendy
DOI: 10.1093/jamia/ocy127
Scoring laboratory polysomnography (PSG) data remains a manual task of visually annotating 3 primary categories: sleep stages, sleep disordered breathing, and limb movements. Attempts to automate this process have been hampered by the complexity of PSG signals and physiological heterogeneity between patients. Deep neural networks, which have recently achieved expert-level performance for other complex medical tasks, are ideally suited to PSG scoring, given sufficient training data.
Author(s): Biswal, Siddharth, Sun, Haoqi, Goparaju, Balaji, Westover, M Brandon, Sun, Jimeng, Bianchi, Matt T
DOI: 10.1093/jamia/ocy131
This systematic review aims to analyze current capabilities, challenges, and impact of self-directed mobile health (mHealth) research applications such as those based on the ResearchKit platform.
Author(s): Schmitz, Hannah, Howe, Carol L, Armstrong, David G, Subbian, Vignesh
DOI: 10.1093/jamia/ocy130
To study the effect on patient cohorts of mapping condition (diagnosis) codes from source billing vocabularies to a clinical vocabulary.
Author(s): Hripcsak, George, Levine, Matthew E, Shang, Ning, Ryan, Patrick B
DOI: 10.1093/jamia/ocy124
This White Paper presents the foundational domains with examples of key aspects of competencies (knowledge, skills, and attitudes) that are intended for curriculum development and accreditation quality assessment for graduate (master's level) education in applied health informatics. Through a deliberative process, the AMIA Accreditation Committee refined the work of a task force of the Health Informatics Accreditation Council, establishing 10 foundational domains with accompanying example statements of knowledge, skills, and [...]
Author(s): Valenta, Annette L, Berner, Eta S, Boren, Suzanne A, Deckard, Gloria J, Eldredge, Christina, Fridsma, Douglas B, Gadd, Cynthia, Gong, Yang, Johnson, Todd, Jones, Josette, Manos, E LaVerne, Phillips, Kirk T, Roderer, Nancy K, Rosendale, Douglas, Turner, Anne M, Tusch, Guenter, Williamson, Jeffrey J, Johnson, Stephen B
DOI: 10.1093/jamia/ocy132
To conduct a systematic review of instruments used in national surveys of eHealth behaviors.
Author(s): Hong, Y Alicia, Cho, Jinmyoung
DOI: 10.1093/jamia/ocy128