Electronic health records - beyond meaningful use.
Author(s): Ahmad, A
DOI: 10.4338/ACI-2010-06-IE-0037
Author(s): Ahmad, A
DOI: 10.4338/ACI-2010-06-IE-0037
As the adoption of health information technology (HIT) has escalated, efforts to evaluate its uptake have increased. The evaluation of HIT often requires direct observation of health care practitioners interacting with the system. When in the field, the evaluator who is not a trained health care provider may observe suboptimal use of the technology. If evaluators have plans to share the results of the evaluation at the conclusion of the [...]
Author(s): Sockolow, P S, Taylor, H A
DOI: 10.4338/ACI-2010-02-CR-0014
Numerous projects, initiatives, and programs are dedicated to the development of Electronic Health Records (EHR) worldwide. Increasingly more of these plans have recently been brought from a scientific environment to real life applications. In this context, quality is a crucial factor with regard to the acceptance and utility of Electronic Health Records. However, the dissemination of the existing quality approaches is often rather limited.
Author(s): Hoerbst, A, Ammenwerth, E
DOI: 10.4338/ACI-2010-02-R-0009
Health literacy is critical for understanding complex medical problems and necessary for the well being of the patient. Printed educational materials (PM) have limitations in explaining the dynamics of a disease process. Multimedia formats may be useful for enhancing the educational process.
Author(s): Alur, P, Cirelli, J, Goodstein, M, Bell, T, Liss, J
DOI: 10.4338/ACI-2010-01-RA-0005
Web 2.0 technologies, known as social media, social technologies or Web 2.0, have emerged into the mainstream. As they grow, these new technologies have the opportunity to influence the methods and procedures of many fields. This paper focuses on the clinical implications of the growing Web 2.0 technologies. Five developing trends are explored: information channels, augmented reality, location-based mobile social computing, virtual worlds and serious gaming, and collaborative research networks [...]
Author(s): Spallek, H, O'Donnell, J, Clayton, M, Anderson, P, Krueger, A
DOI: 10.4338/ACI-2010-01-CR-0003
Within health and health care, medical informatics and its subspecialties of biomedical, clinical, and public health informatics have emerged as a new discipline with increasing demands for its own work force. Knowledge and skills in medical informatics are widely acknowledged as crucial to future success in patient care, research relating to biomedicine, clinical care, and public health, as well as health policy design. The maturity of the domain and the [...]
Author(s): Detmer, Don E, Munger, Benson S, Lehmann, Christoph U
DOI: 10.4338/ACI-2009-11-R-0016
Assess the interest in and preferences of ambulatory practitioners in HIE.
Author(s): Tham, E, Ross, S E, Mellis, B K, Beaty, B L, Schilling, L M, Davidson, A J
DOI: 10.4338/ACI-2009-10-RA-0007
OBJECTIVE: Current staging systems are not accurate for classifying pancreatic endocrine tumors (PETs) by risk. Here, we developed a prognostic model for PETs and compared it to the WHO classification system. METHODS: We identified 98 patients diagnosed with PET at NewYork-Presbyterian Hospital/Columbia University Medical Center (1999 to 2009). Tumor and clinical characteristics were retrieved and associations with survival were assessed by univariate Cox analysis. A multivariable model was constructed and [...]
Author(s): Botsis, Taxiarchis, Anagnostou, Valsamo K, Hartvigsen, Gunnar, Hripcsak, George, Weng, Chunhua
DOI: 10.4338/ACI-2009-12-RA-0026
Follow-up data must be collected according to the protocol of each clinical study, i.e. at certain time points. Missing follow-up information is a critical problem and may impede or bias the analysis of study data and result in delays. Moreover, additional patient recruitment may be necessary due to incomplete follow-up data. Current electronic data capture (EDC) systems in clinical studies are usually separated from hospital information systems (HIS) and therefore [...]
Author(s): Herzberg, S, Fritz, F, Rahbar, K, Stegger, L, Schäfers, M, Dugas, M
DOI: 10.4338/ACI-2010-08-RA-0047
Computerized clinical reminder (CCR) systems can improve preventive service delivery by providing patient-specific reminders at the point of care. However, adherence varies between individual CCRs and is correlated to resolution time amongst other factors. This study aimed to evaluate how a proposed CCR redesign providing information explaining why the CCRs occurred would impact providers' prioritization of individual CCRs.
Author(s): Wu, Sze-Jung, Lehto, Mark R, Yih, Yuehwern, Saleem, Jason J, Doebbeling, B N
DOI: 10.4338/ACI-2010-05-RA-0029