Consumer- and patient-oriented informatics innovation: continuing the legacy of Warner V. Slack.
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocz224
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocz224
The objective of this paper is to share challenges, recommendations, and lessons learned regarding the development and implementation of a Patient Safety Learning Laboratory (PSLL) project, an innovative and complex intervention comprised of a suite of Health Information Technology (HIT) tools integrated with a newly implemented Electronic Health Record (EHR) vendor system in the acute care setting at a large academic center.
Author(s): Businger, Alexandra C, Fuller, Theresa E, Schnipper, Jeffrey L, Rossetti, Sarah Collins, Schnock, Kumiko O, Rozenblum, Ronen, Dalal, Anuj K, Benneyan, James, Bates, David W, Dykes, Patricia C
DOI: 10.1093/jamia/ocz193
Real-world data (RWD) are increasingly used for pharmacoepidemiology and regulatory innovation. Our objective was to compare adverse drug event (ADE) rates determined from two RWD sources, electronic health records and administrative claims data, among children treated with drugs for pulmonary hypertension.
Author(s): Geva, Alon, Abman, Steven H, Manzi, Shannon F, Ivy, Dunbar D, Mullen, Mary P, Griffin, John, Lin, Chen, Savova, Guergana K, Mandl, Kenneth D
DOI: 10.1093/jamia/ocz194
The study sought to test the feasibility of using Twitter data to assess determinants of consumers' health behavior toward human papillomavirus (HPV) vaccination informed by the Integrated Behavior Model (IBM).
Author(s): Zhang, Hansi, Wheldon, Christopher, Dunn, Adam G, Tao, Cui, Huo, Jinhai, Zhang, Rui, Prosperi, Mattia, Guo, Yi, Bian, Jiang
DOI: 10.1093/jamia/ocz191
This case report applied principles from the data visualization (DV) literature and feedback from nurses to develop an effective report to display adherence with an evidence-based fall prevention program. We tested the usability of the original and revised reports using a Health Information Technology Usability Evaluation Scale (Health-ITUES) customized for this project. Items were rated on a 5-point Likert scale, strongly disagree (1) to strongly agree (5). The literature emphasized [...]
Author(s): Khasnabish, Srijesa, Burns, Zoe, Couch, Madeline, Mullin, Mary, Newmark, Randall, Dykes, Patricia C
DOI: 10.1093/jamia/ocz190
To investigate the relationship between emotion sharing and technically troubled dialysis (TTD) in a remote patient monitoring (RPM) setting.
Author(s): Huang, Robin, Liu, Na, Nicdao, Mary Ann, Mikaheal, Mary, Baldacchino, Tanya, Albeos, Annabelle, Petoumenos, Kathy, Sud, Kamal, Kim, Jinman
DOI: 10.1093/jamia/ocz183
To assess if the amount of time a pharmacist spends verifying medication orders increases as medication orders become more complex.
Author(s): Dakwa, David S, Marshall, Vincent D, Chaffee, Bruce W
DOI: 10.1093/jamia/ocz188
To summarize the research literature about safety concerns with consumer-facing health apps and their consequences.
Author(s): Akbar, Saba, Coiera, Enrico, Magrabi, Farah
DOI: 10.1093/jamia/ocz175
Consumers increasingly turn to the internet in search of health-related information; and they want their questions answered with short and precise passages, rather than needing to analyze lists of relevant documents returned by search engines and reading each document to find an answer. We aim to answer consumer health questions with information from reliable sources.
Author(s): Demner-Fushman, Dina, Mrabet, Yassine, Ben Abacha, Asma
DOI: 10.1093/jamia/ocz152
Linking emergency medical services (EMS) electronic patient care reports (ePCRs) to emergency department (ED) records can provide clinicians access to vital information that can alter management. It can also create rich databases for research and quality improvement. Unfortunately, previous attempts at ePCR and ED record linkage have had limited success. In this study, we use supervised machine learning to derive and validate an automated record linkage algorithm between EMS ePCRs [...]
Author(s): Redfield, Colby, Tlimat, Abdulhakim, Halpern, Yoni, Schoenfeld, David W, Ullman, Edward, Sontag, David A, Nathanson, Larry A, Horng, Steven
DOI: 10.1093/jamia/ocz176