Author(s):
DOI: 10.1093/jamia/ocy080
Author(s):
DOI: 10.1093/jamia/ocy063
This paper presents the development and real-time testing of an automated expert diagnostic telehealth system for the diagnosis of 2 respiratory diseases, asthma and Chronic Obstructive Pulmonary Disease (COPD). The system utilizes Android, Java, MATLAB, and PHP technologies and consists of a spirometer, mobile application, and expert diagnostic system. To evaluate the effectiveness of the system, a prospective study was carried out in 3 remote primary healthcare institutions, and one [...]
Author(s): Gurbeta, Lejla, Badnjevic, Almir, Maksimovic, Mirjana, Omanovic-Miklicanin, Enisa, Sejdic, Ervin
DOI: 10.1093/jamia/ocy055
Author(s): Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocy116
Our objective was to review the characteristics, current applications, and evaluation measures of conversational agents with unconstrained natural language input capabilities used for health-related purposes.
Author(s): Laranjo, Liliana, Dunn, Adam G, Tong, Huong Ly, Kocaballi, Ahmet Baki, Chen, Jessica, Bashir, Rabia, Surian, Didi, Gallego, Blanca, Magrabi, Farah, Lau, Annie Y S, Coiera, Enrico
DOI: 10.1093/jamia/ocy072
The use of electronic health records (EHRs) for research has the potential to improve the diagnosis and treatment of disease, yet contact with patients based on results of EHR phenotyping has received little attention. Researchers will almost certainly discover discrepancies in EHRs that call for resolution and, in some cases, raise the ethical dilemma of whether to contact patients about a potentially undiagnosed or untreated health concern. The objective of [...]
Author(s): Brelsford, Kathleen M, Spratt, Susan E, Beskow, Laura M
DOI: 10.1093/jamia/ocy087
To test the hypothesis that use of a clinical decision support (CDS) system in a primary care setting can reduce cardiovascular (CV) risk in patients.
Author(s): Sperl-Hillen, JoAnn M, Crain, A Lauren, Margolis, Karen L, Ekstrom, Heidi L, Appana, Deepika, Amundson, Gerald, Sharma, Rashmi, Desai, Jay R, O'Connor, Patrick J
DOI: 10.1093/jamia/ocy085
To review and analyze the literature to determine whether wearable technologies can predict health outcomes.
Author(s): Burnham, Jason P, Lu, Chenyang, Yaeger, Lauren H, Bailey, Thomas C, Kollef, Marin H
DOI: 10.1093/jamia/ocy082
The objective was to prospectively derive and validate a prediction rule for detecting cases warranting investigation for surgical site infections (SSI) after ambulatory surgery.
Author(s): Grundmeier, Robert W, Xiao, Rui, Ross, Rachael K, Ramos, Mark J, Karavite, Dean J, Michel, Jeremy J, Gerber, Jeffrey S, Coffin, Susan E
DOI: 10.1093/jamia/ocy075
Despite increased risk for negative outcomes, cognitive impairment (CI) is greatly under-detected during hospitalization. While automated EHR-based phenotypes have potential to improve recognition of CI, they are hindered by widespread under-diagnosis of underlying etiologies such as dementia-limiting the utility of more precise structured data elements. This study examined unstructured data on symptoms of CI in the acute-care EHRs of hip and stroke fracture patients with dementia from two hospitals. Clinician [...]
Author(s): Gilmore-Bykovskyi, Andrea L, Block, Laura M, Walljasper, Lily, Hill, Nikki, Gleason, Carey, Shah, Manish N
DOI: 10.1093/jamia/ocy070