A note on computer graph plots of physician practice locations

1979 ◽  
Vol 3 (3-4) ◽  
pp. 153-159
Author(s):  
Collin J. Watson
Keyword(s):  
Physician Practice ◽  
Computer Graph

3: Adaptability of Physician Practice Style to the Technologic Imperative

2006 ◽  
Vol 175 (4S) ◽  
pp. 1-2
Author(s):  
Brent K. Hollenbeck ◽  
David C. Miller ◽  
Stephanie Daignault ◽  
Rodney L. Dunn ◽  
John T. Wei
Keyword(s):  
Physician Practice ◽  
Practice Style ◽  
Physician Practice Style

scholarly journals The effects of clinical decision support system for prescribing medication on patient outcomes and physician practice performance: a systematic review and meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sharare Taheri Moghadam ◽  
Farahnaz Sadoughi ◽  
Farnia Velayati ◽  
Seyed Jafar Ehsanzadeh ◽  
Shayan Poursharif
Keyword(s):  
Systematic Review ◽  
Decision Support ◽  
Patient Outcomes ◽  
Clinical Decision Support ◽  
Meta Analysis ◽  
Clinical Decision ◽  
Cochrane Library ◽  
Physician Practice ◽  
Positive Effects ◽  
Practice Performance

Abstract Background Clinical Decision Support Systems (CDSSs) for Prescribing are one of the innovations designed to improve physician practice performance and patient outcomes by reducing prescription errors. This study was therefore conducted to examine the effects of various CDSSs on physician practice performance and patient outcomes. Methods This systematic review was carried out by searching PubMed, Embase, Web of Science, Scopus, and Cochrane Library from 2005 to 2019. The studies were independently reviewed by two researchers. Any discrepancies in the eligibility of the studies between the two researchers were then resolved by consulting the third researcher. In the next step, we performed a meta-analysis based on medication subgroups, CDSS-type subgroups, and outcome categories. Also, we provided the narrative style of the findings. In the meantime, we used a random-effects model to estimate the effects of CDSS on patient outcomes and physician practice performance with a 95% confidence interval. Q statistics and I2 were then used to calculate heterogeneity. Results On the basis of the inclusion criteria, 45 studies were qualified for analysis in this study. CDSS for prescription drugs/COPE has been used for various diseases such as cardiovascular diseases, hypertension, diabetes, gastrointestinal and respiratory diseases, AIDS, appendicitis, kidney disease, malaria, high blood potassium, and mental diseases. In the meantime, other cases such as concurrent prescribing of multiple medications for patients and their effects on the above-mentioned results have been analyzed. The study shows that in some cases the use of CDSS has beneficial effects on patient outcomes and physician practice performance (std diff in means = 0.084, 95% CI 0.067 to 0.102). It was also statistically significant for outcome categories such as those demonstrating better results for physician practice performance and patient outcomes or both. However, there was no significant difference between some other cases and traditional approaches. We assume that this may be due to the disease type, the quantity, and the type of CDSS criteria that affected the comparison. Overall, the results of this study show positive effects on performance for all forms of CDSSs. Conclusions Our results indicate that the positive effects of the CDSS can be due to factors such as user-friendliness, compliance with clinical guidelines, patient and physician cooperation, integration of electronic health records, CDSS, and pharmaceutical systems, consideration of the views of physicians in assessing the importance of CDSS alerts, and the real-time alerts in the prescription.

scholarly journals Opioid Induced Hyperalgesia, a Research Phenomenon or a Clinical Reality? Results of a Canadian Survey

2020 ◽  
Vol 10 (2) ◽  
pp. 27
Author(s):  
Grisell Vargas-Schaffer ◽  
Suzie Paquet ◽  
Andrée Neron ◽  
Jennifer Cogan
Keyword(s):  
Chronic Pain ◽  
Nmda Antagonist ◽  
Treatment Modalities ◽  
Clinical Test ◽  
Physician Practice ◽  
Clinical Tests ◽  
Opioid Rotation ◽  
Number Of Patients ◽  
Opioid Induced Hyperalgesia ◽  
Age Range

Background: Very little is known regarding the prevalence of opioid induced hyperalgesia (OIH) in day to day medical practice. The aim of this study was to evaluate the physician’s perception of the prevalence of OIH within their practice, and to assess the level of physician’s knowledge with respect to the identification and treatment of this problem. Methods: An electronic questionnaire was distributed to physicians who work in anesthesiology, chronic pain, and/or palliative care in Canada. Results: Of the 462 responses received, most were from male (69%) anesthesiologists (89.6%), in the age range of 36 to 64 years old (79.8%). In this study, the suspected prevalence of OIH using the average number of patients treated per year with opioids was 0.002% per patient per physician practice year for acute pain, and 0.01% per patient per physician practice year for chronic pain. Most physicians (70.2%) did not use clinical tests to help make a diagnosis of OIH. The treatment modalities most frequently used were the addition of an NMDA antagonist, combined with lowering the opioid doses and using opioid rotation. Conclusions: The perceived prevalence of OIH in clinical practice is a relatively rare phenomenon. Furthermore, more than half of physicians did not use a clinical test to confirm the diagnosis of OIH. The two main treatment modalities used were NMDA antagonists and opioid rotation. The criteria for the diagnosis of OIH still need to be accurately defined.

Physician Practice Characteristics and Satisfaction: A Rural-urban Comparison of Medical Directors at US. Community and Migrant Health Centers

1998 ◽  
Vol 14 (4) ◽  
pp. 346-356 ◽  
Author(s):  
Leiyu Shi ◽  
Michael E. Samuels ◽  
Christopher R. Cochran ◽  
Saundra Glover ◽  
Douglas A. Singh
Keyword(s):  
Migrant Health ◽  
Health Centers ◽  
Physician Practice ◽  
Practice Characteristics ◽  
Medical Directors

Comparing health care system and physician practice influences on social risk screening

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Jennifer L. Frehn ◽  
Amanda L. Brewster ◽  
Stephen M. Shortell ◽  
Hector P. Rodriguez
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Social Risk ◽  
Physician Practice ◽  
Risk Screening ◽  
Care System

POCT in the physician practice setting

2018 ◽  
pp. 313-318
Author(s):  
Ralf Junker ◽  
Hans Günther Wahl
Keyword(s):  
Physician Practice ◽  
Practice Setting
Sign in / Sign up

Export Citation Format

Share Document