Development of medical informatics standards.
Author(s): Gardner, R M
DOI: 10.1136/jamia.1994.95236140
Author(s): Gardner, R M
DOI: 10.1136/jamia.1994.95236140
Assess the performance of the SAPHIRE automated information retrieval system.
Author(s): Hersh, W R, Hickam, D H, Haynes, R B, McKibbon, K A
DOI: 10.1136/jamia.1994.95236136
A major obstacle to establishing a computer-stored medical record is the lack of "standards" that would permit government, care providers, insurance companies, and medical computer system developers to share patient data easily. In this position paper, the Board of Directors of the American Medical Informatics Association recommends specific approaches to standardization in the areas of patient, provider, and site of care identifiers; computerized health care message exchange; medical record content [...]
Author(s):
DOI: 10.1136/jamia.1994.95236133
Author(s): Poikonen, John, Fotsch, Edward, Lehmann, Christoph U
DOI: 10.4338/ACI2017050081
The International Classification of Functioning, Disability and Health (ICF) is the World Health Organization's standard for describing health and health-related states. Examples of how the ICF has been used in Electronic Health Records (EHRs) have not been systematically summarized and described yet.
Author(s): Maritz, Roxanne, Aronsky, Dominik, Prodinger, Birgit
DOI: 10.4338/ACI2017050078
A core measure of the meaningful use of EHR incentive program is the generation and provision of the clinical summary of the office visit, or the after visit summary (AVS), to patients. However, little research has been conducted on physician perceptions and beliefs about the AVS.
Author(s): Emani, S, Ting, D Y, Healey, M, Lipsitz, S R, Ramelson, H, Suric, V, Bates, D W
DOI: 10.4338/ACI-2015-04-RA-0043
Overuse of cranial computed tomography scans in children with blunt head trauma unnecessarily exposes them to radiation. The Pediatric Emergency Care Applied Research Network (PECARN) blunt head trauma prediction rules identify children who do not require a computed tomography scan. Electronic health record (EHR) based clinical decision support (CDS) may effectively implement these rules but must only be provided for appropriate patients in order to minimize excessive alerts.
Author(s): Deakyne, S J, Bajaj, L, Hoffman, J, Alessandrini, E, Ballard, D W, Norris, R, Tzimenatos, L, Swietlik, M, Tham, E, Grundmeier, R W, Kuppermann, N, Dayan, P S, ,
DOI: 10.4338/ACI-2015-02-RA-0019
Two years ago, the Diabetic Retinopathy (DRP) and Traumatology clinic of the Department of Ophthalmology and Optometrics at the Medical University of Vienna, Austria switched from paper-based to electronic health records. A customized electronic health record system (EHR-S) was implemented.
Author(s): Mitsch, C, Huber, P, Kriechbaum, K, Scholda, C, Duftschmid, G, Wrba, T, Schmidt-Erfurth, U
DOI: 10.4338/ACI-2014-11-RA-0104
Nationwide Children's Hospital established an i2b2 (Informatics for Integrating Biology & the Bedside) application for sleep disorder cohort identification. Discrete data were gleaned from semistructured sleep study reports. The system showed to work more efficiently than the traditional manual chart review method, and it also enabled searching capabilities that were previously not possible.
Author(s): Chen, W, Kowatch, R, Lin, S, Splaingard, M, Huang, Y
DOI: 10.4338/ACI-2014-11-RA-0106
To better understand the literature searching preferences of clinical providers we conducted an institution-wide survey assessing the most preferred knowledge searching techniques.
Author(s): Ellsworth, M A, Homan, J M, Cimino, J J, Peters, S G, Pickering, B W, Herasevich, V
DOI: 10.4338/ACI-2014-11-RA-0104