4 resultados para computer technology

em DigitalCommons@The Texas Medical Center


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The "EMR Tutorial" is designed to be a bilingual online physician education environment about electronic medical records. After iterative assessment and redesign, the tutorial was tested in two groups: U.S. physicians and Mexican medical students. Split-plot ANOVA revealed significantly different pre-test scores in the two groups, significant cognitive gains for the two groups overall, and no significant difference in the gains made by the two groups. Users rated the module positively on a satisfaction questionnaire.

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Medical instrumentation used in diagnosis and treatment relies on the accurate detection and processing of various physiological events and signals. While signal detection technology has improved greatly in recent years, there remain inherent delays in signal detection/ processing. These delays may have significant negative clinical consequences during various pathophysiological events. Reducing or eliminating such delays would increase the ability to provide successful early intervention in certain disorders thereby increasing the efficacy of treatment. In recent years, a physical phenomenon referred to as Negative Group Delay (NGD), demonstrated in simple electronic circuits, has been shown to temporally advance the detection of analog waveforms. Specifically, the output is temporally advanced relative to the input, as the time delay through the circuit is negative. The circuit output precedes the complete detection of the input signal. This process is referred to as signal advance (SA) detection. An SA circuit model incorporating NGD was designed, developed and tested. It imparts a constant temporal signal advance over a pre-specified spectral range in which the output is almost identical to the input signal (i.e., it has minimal distortion). Certain human patho-electrophysiological events are good candidates for the application of temporally-advanced waveform detection. SA technology has potential in early arrhythmia and epileptic seizure detection and intervention. Demonstrating reliable and consistent temporally advanced detection of electrophysiological waveforms may enable intervention with a pathological event (much) earlier than previously possible. SA detection could also be used to improve the performance of neural computer interfaces, neurotherapy applications, radiation therapy and imaging. In this study, the performance of a single-stage SA circuit model on a variety of constructed input signals, and human ECGs is investigated. The data obtained is used to quantify and characterize the temporal advances and circuit gain, as well as distortions in the output waveforms relative to their inputs. This project combines elements of physics, engineering, signal processing, statistics and electrophysiology. Its success has important consequences for the development of novel interventional methodologies in cardiology and neurophysiology as well as significant potential in a broader range of both biomedical and non-biomedical areas of application.

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Making healthcare comprehensive and more efficient remains a complex challenge. Health Information Technology (HIT) is recognized as an important component of this transformation but few studies describe HIT adoption and it's effect on the bedside experience by physicians, staff and patients. This study applied descriptive statistics and correlation analysis to data from the Patient-Centered Medical Home National Demonstration Project (NDP) of the American Academy of Family Physicians. Thirty-six clinics were followed for 26 months by clinician/staff questionnaires and patient surveys. This study characterizes those clinics as well as staff and patient perspectives on HIT usefulness, the doctor-patient relationship, electronic medical record (EMR) implementation, and computer connections in the practice throughout the study. The Global Practice Experience factor, a composite score related to key components of primary care, was then correlated to clinician and patient perspectives. This study found wide adoption of HIT among NDP practices. Patient perspectives on HIT helpfulness on the doctor-patient showed a suggestive trend that approached statistical significance (p = 0.172). Clinicians and staff noted successful integration of EMR into clinic workflow and their perception of helpfulness to the doctor-patient relationship show a suggestive increase also approaching statistical significance (p=0.06). GPE was correlated with clinician/staff assessment of a helpful doctor-patient relationship midway through the study (R 0.460, p = 0.021) with the remaining time points nearing statistical significance. GPE was also correlated to both patient perspectives of EMR helpfulness in the doctor-patient relationship (R 0.601, p = 0.001) and computer connections (R 0.618, p = 0.0001) at the start of the study. ^

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Background: Hypertension and Diabetes is a public health and economic concern in the United States. The utilization of medical home concepts increases the receipt of preventive services, however, do they also increase adherence to treatments? This study examined the effect of patient-centered medical home technologies such as the electronic health record, clinical support system, and web-based care management in improving health outcomes related to hypertension and diabetes. Methods: A systematic review of the literature used a best evidence synthesis approach to address the general question " Do patient-centered medical home technologies have an effect of diabetes and hypertension treatment?" This was followed by an evaluation of specific examples of the technologies utilized such as computer-assisted recommendations and web-based care management provided by the patient's electronic health record. Ebsco host, Ovid host, and Google Scholar were the databases used to conduct the literature search. Results: The initial search identified over 25 studies based on content and quality that implemented technology interventions to improve communication between provider and patient. After further assessing the articles for risk of bias and study design, 13 randomized controlled studies were chosen. All of the studies chosen were conducted in various primary care settings in both private practices and hospitals between the years 2000 and 2007. The sample sizes of the studies ranged from 42 to 2924 participants. The mean age for all of the studies ranged from 56 to 71 years. The percent women in the studies ranged from one to 78 percent. Over one-third of the studies did not provide the racial composition of the participants. For the seven studies that did provide information about the ethnic composition, 64% of the intervention participants were White. All of the studies utilized some type of web-based or computer-based communication to manage hypertension or diabetes care. Findings on outcomes were mixed, with nine out of 13 studies showing no significant effect on outcomes examined, and four of the studies showing significant and positive impact on health outcomes related to hypertension or diabetes Conclusion: Although the technologies improved patient and provider satisfaction, the outcomes measures such as blood pressure control and glucose control were inconclusive. Further research is needed with diverse ethnic and SES population to investigate the role of patient-centered technologies on hypertension and diabetes control. Also, further research is needed to investigate the effects of innovative medical home technologies that can be used by both patients and providers to increase quality of communication concerning adherence to treatments.^