Measuring the impact of health information technology.
Author(s): Hanauer, D, Zheng, K
DOI: 10.4338/ACI-2012-06-LE-0025
Author(s): Hanauer, D, Zheng, K
DOI: 10.4338/ACI-2012-06-LE-0025
We designed and implemented an electronic patient tracking system with improved user authentication and patient selection. We then measured access to clinical information from previous clinical encounters before and after implementation of the system. Clinicians accessed longitudinal information for 16% of patient encounters before, and 40% of patient encounters after the intervention, indicating such a system can improve clinician access to information. We also attempted to evaluate the impact of [...]
Author(s): Wilcox, A B, Shen, S, Dorr, D A, Hripcsak, G, Heermann, L, Narus, S P
DOI: 10.4338/ACI-2011-03-RA-0019
Health information exchange is a national priority, but there is limited evidence of its effectiveness.
Author(s): Kern, L M, Barrón, Y, Dhopeshwarkar, R V, Kaushal, R
DOI: 10.4338/ACI-2012-02-RA-0005
To identify and summarize the requirements of an optimized CPOE application for pediatric intensive care.
Author(s): Castellanos, I, Rellensmann, G, Scharf, J, Bürkle, T
DOI: 10.4338/ACI-2011-08-RA-0051
Mobile health (mHealth) is a growing field aimed at developing mobile information and communication technologies for healthcare. Adolescents are known for their ubiquitous use of mobile technologies in everyday life. However, the use of mHealth tools among adolescents is not well described.
Author(s): Sheehan, B, Lee, Y, Rodriguez, M, Tiase, V, Schnall, R
DOI: 10.4338/ACI-2012-06-RA-0021
Self-administered computer-assisted interviewing (SACAI) gathers accurate information from patients and could facilitate Emergency Department (ED) diagnosis. As part of an ongoing research effort whose long-range goal is to develop automated medical interviewing for diagnostic decision support, we explored usability attributes of SACAI in the ED.
Author(s): Herrick, D B, Nakhasi, A, Nelson, B, Rice, S, Abbott, P A, Saber Tehrani, A S, Rothman, R E, Lehmann, H P, Newman-Toker, D E
DOI: 10.4338/ACI-2012-09-RA-0034
Healthcare Electronic Syndromic Surveillance (ESS) is the systematic collection, analysis and interpretation of ongoing clinical data with subsequent dissemination of results, which aid clinical decision-making.
Author(s): Kashiouris, M, O'Horo, J C, Pickering, B W, Herasevich, V
DOI: 10.4338/ACI-2012-12-RA-0053
Clinical pathways are evidence-based recommendations for treating a diagnosis. Although implementations of clinical pathways have reduced medical errors, lowered costs, and improved patient outcomes, monitoring whether a patient is following the intended pathway is problematic. Implementing a variance reporting program is impeded by the lack of a reliable source of electronic data and automatic retrieval methods.
Author(s): Konrad, R, Tulu, B, Lawley, M
DOI: 10.4338/ACI-2012-06-RA-0026
In a prior study, we developed methods for automatically identifying associations between medications and problems using association rule mining on a large clinical data warehouse and validated these methods at a single site which used a self-developed electronic health record.
Author(s): Wright, A, McCoy, A, Henkin, S, Flaherty, M, Sittig, D
DOI: 10.4338/ACI-2012-12-RA-0051
Health Risk Appraisals (HRAs) have been implemented in a variety of settings, however few studies have examined the impact of computerized HRAs systematically in primary care. The study aimed at the development and pilot testing of a novel, comprehensive HRA tool in primary care practices.
Author(s): Nagykaldi, Z J, Voncken-Brewster, V, Aspy, C B, Mold, J W
DOI: 10.4338/ACI-2012-10-RA-0048