CaP Calculator: An Online Decision Support Tool to Improve Evidence-based Doctor-Patient Communication for Clinically Localized Prostate Cancer

2008 ◽  
Vol 72 (1) ◽  
pp. S41
Author(s):  
M.S. Katz ◽  
J.A. Efstathiou ◽  
P.L. Nguyen ◽  
A.L. Zietman
Keyword(s):  
Prostate Cancer ◽  
Decision Support ◽  
Decision Support Tool ◽  
Patient Communication ◽  
Localized Prostate Cancer ◽  
Evidence Based ◽  
Support Tool ◽  
Doctor Patient Communication

scholarly journals The ‘CaP Calculator’: an online decision support tool for clinically localized prostate cancer

2010 ◽  
Vol 105 (10) ◽  
pp. 1417-1422 ◽  
Author(s):  
Matthew S. Katz ◽  
Jason A. Efstathiou ◽  
Anthony V. D’Amico ◽  
Michael W. Kattan ◽  
Martin G. Sanda ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Decision Support ◽  
Decision Support Tool ◽  
Localized Prostate Cancer ◽  
Support Tool

A Deep Learning-Aided Decision-Support Tool for Precise Prediction of Lymph Node Metastasis in Patients with Prostate Cancer

2020 ◽  
Author(s):  
Ying Hou ◽  
Yang Song ◽  
Mei-Ling Bao ◽  
Chen-Jiang Wu ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Deep Learning ◽  
Lymph Node ◽  
Decision Support ◽  
Lymph Node Metastasis ◽  
Decision Support Tool ◽  
Support Tool ◽  
Node Metastasis ◽  
Precise Prediction

Evaluation of a handheld clinical decision support tool for evidence-based learning and practice in medical undergraduates

2004 ◽  
Vol 38 (6) ◽  
pp. 628-637 ◽  
Author(s):  
Janice M Johnston ◽  
Gabriel M Leung ◽  
Keith Y K Tin ◽  
Lai-Ming Ho ◽  
Wendy Lam ◽  
...  
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Decision Support Tool ◽  
Clinical Decision ◽  
Evidence Based ◽  
Support Tool ◽  
Medical Undergraduates ◽  
Clinical Decision Support Tool

PD53-11 PRIMARY CARE PHYSICIANSʼ PERCEPTIONS OF AN ELECTRONIC MEDICAL RECORD-EMBEDDED DECISION SUPPORT TOOL FOR PROSTATE CANCER SCREENING

2020 ◽  
Vol 203 ◽  
pp. e1101
Author(s):  
Sigrid Carlsson* ◽  
Tiffany Le ◽  
Junaid Nabi ◽  
Andrew Vickers ◽  
Mark Preston ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Primary Care ◽  
Decision Support ◽  
Cancer Screening ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Prostate Cancer Screening ◽  
Decision Support Tool ◽  
Support Tool

scholarly journals LO22: Implementation of an electronic clinical decision support tool to improve knowledge translation and imaging appropriateness for patients with mild traumatic brain injury and suspected pulmonary embolism

CJEM ◽  
2017 ◽  
Vol 19 (S1) ◽  
pp. S34-S35
Author(s):  
J. Andruchow ◽  
D. Grigat ◽  
A. McRae ◽  
G. Innes ◽  
E. Lang
Keyword(s):  
Pulmonary Embolism ◽  
Decision Support ◽  
Point Of Care ◽  
Decision Support Tool ◽  
Clinical Decision ◽  
Evidence Based ◽  
Support Tool ◽  
Imaging Appropriateness ◽  
Ct Head ◽  
Evidence Based Guidelines

Introduction/Innovation Concept: Utilization of CT imaging has increased dramatically over the past two decades, but has not necessarily improved patient outcomes. As healthcare spending grows unsustainably and evidence of harms from unnecessary testing accrues, there is pressure to improve imaging appropriateness. However, prior attempts to reduce unnecessary imaging using evidence-based guidelines have met with limited success, with common barriers cited including a lack of confidence in patient outcomes, medicolegal risk, and patient expectations. This project attempts to address these barriers through the development of an electronic clinical decision support (CDS) tool embedded in clinical practice. Methods: An interactive web-based point-of-care CDS tool was incorporated into computerized physician order entry software to provide real-time evidence-based guidance to emergency physicians for select clinical indications. For patients with mild traumatic brain injury (MTBI), decision support for the Canadian CT Head Rule pops up when a CT head is ordered. For patients with suspected pulmonary embolism (PE), the tool is triggered when a CT pulmonary angiogram is ordered and provides CDS for the Pulmonary Embolism Rule-out Criteria (PERC), Wells Score, age-adjusted D-dimer and CT imaging. To study the impact of the tool, all emergency physicians in the Calgary zone were randomized to receive voluntary decision support for either MTBI or PE. Curriculum, Tool, or Material: The tool uses a multifaceted approach to inform physician decision making, including visualization of risk and quantitative outcomes data and links to primary literature. The CDS tool simultaneously documents guideline compliance in the health record, generates printable patient education materials, and populates a REDCap™ database, enabling the creation of confidential physician report cards on CT utilization, appropriateness and diagnostic yield for both audit and feedback and research purposes. Preliminary data show that physicians are using the MTBI CDS approximately 30% of the time, and the PE CDS approximately 40% of the time. Evaluation of CDS impact on imaging utilization and appropriateness is ongoing. Conclusion: A voluntary web-based point-of-care decision support tool embedded in workflow has the potential to address many of the factors typically cited as barriers to use of evidence-based guidelines in practice. However, high rates of adherence to CDS will likely require physician incentives and appropriateness measures.

scholarly journals PROJECT MISSION SYNCOPE SMARTPHONE APPLICATION: VALIDATING AN EVIDENCE-BASED CLINICAL DECISION SUPPORT TOOL

2021 ◽  
Vol 77 (18) ◽  
pp. 3233
Author(s):  
Syedreza Haider ◽  
Ethan Fry ◽  
Vedant Gupta ◽  
Shiraz Amin ◽  
Colleen A. McMullen ◽  
...  
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Decision Support Tool ◽  
Clinical Decision ◽  
Smartphone Application ◽  
Evidence Based ◽  
Support Tool ◽  
Clinical Decision Support Tool

scholarly journals LBA01-04 IMPLEMENTATION AND EFFECTIVENESS OF A CLINICAL DECISION SUPPORT TOOL TO FACILITATE EVIDENCE-BASED PRACTICES FOR TOBACCO USE IN THE OUTPATIENT UROLOGY CLINIC

2021 ◽  
Vol 206 (Supplement 3) ◽  
Author(s):  
Richard Matulewicz ◽  
Jeffrey Bassett ◽  
Lorna Kawn ◽  
Scott Sherman ◽  
William McCarthy ◽  
...  
Keyword(s):  
Decision Support ◽  
Tobacco Use ◽  
Clinical Decision Support ◽  
Decision Support Tool ◽  
Clinical Decision ◽  
Evidence Based ◽  
Evidence Based Practices ◽  
Support Tool ◽  
Clinical Decision Support Tool ◽  
Urology Clinic

D2R2: an evidence-based decision support tool to aid prioritisation of animal health issues for government funding

2016 ◽  
Vol 179 (21) ◽  
pp. 547-547 ◽  
Author(s):  
J. C. Gibbens ◽  
A. J. Frost ◽  
C. W. Houston ◽  
H. Lester ◽  
F. A. Gauntlett
Keyword(s):  
Decision Support ◽  
Animal Health ◽  
Decision Support Tool ◽  
Government Funding ◽  
Evidence Based ◽  
Health Issues ◽  
Support Tool
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