Computerised decision support in veterinary medicine, exemplified in a canine idiopathic epilepsy care pathway

2021 ◽  
Author(s):  
K. Fox ◽  
J. Fox ◽  
N. Bexfield ◽  
P. Freeman
Keyword(s):  
Veterinary Medicine ◽  
Decision Support ◽  
Care Pathway ◽  
Idiopathic Epilepsy

Electroencephalography recording analysis in monitoring of canine idiopathic epilepsy treated with phenobarbital. Pilot study

2014 ◽  
Vol 17 (4) ◽  
pp. 717-719 ◽  
Author(s):  
A. Bocheńska ◽  
M. Kwiatkowska ◽  
A. Pomianowski ◽  
T. Monowid ◽  
Z. Adamiak
Keyword(s):  
Veterinary Medicine ◽  
Retrospective Study ◽  
Pilot Study ◽  
Clinical Diagnosis ◽  
Diagnostic Tool ◽  
Seizure Activity ◽  
Idiopathic Epilepsy ◽  
Delta Band ◽  
Before And After ◽  
Recording Analysis

Abstract EEG recording is used in veterinary medicine as a diagnostic tool to support clinical diagnosis of idiopathic epilepsy and to identify focal seizure activity. This retrospective study was designed to compare EEG procedures in 23 dogs with idiopathic epilepsy before and after phenobarbital treatment. Differences among standard deviations for particular bands were significant. During phenobarbital treatment the delta band decreased.

Leveraging American College of Obstetricians and Gynecologists Guidelines for Point-of-Care Decision Support in Obstetrics

2021 ◽  
Vol 12 (04) ◽  
pp. 800-807
Author(s):  
Brittany H. Sanford ◽  
Gabriel Labbad ◽  
Alyssa R. Hersh ◽  
Aya Heshmat ◽  
Steve Hasley
Keyword(s):  
Decision Support ◽  
Task Force ◽  
Work Group ◽  
Care Pathway ◽  
Point Of Care ◽  
Obstetric Care ◽  
Clinical Decision ◽  
Optimal Decision ◽  
Clinical Guidance ◽  
Practice Advisory

Abstract Background The American College of Obstetricians and Gynecologists (ACOG) provides numerous narrative documents containing formal recommendations and additional narrative guidance within the text. These guidelines are not intended to provide a complete “care pathway” for patient management, but these elements of guidance can be useful for clinical decision support (CDS) in obstetrical and gynecologic care and could be exposed within electronic health records (EHRs). Unfortunately, narrative guidelines do not easily translate into computable CDS guidance. Objective This study aimed to describe a method of translating ACOG clinical guidance into clear, implementable items associated with specific obstetrical problems for integration into the EHR. Methods To translate ACOG clinical guidance in Obstetrics into implementable CDS, we followed a set of steps including selection of documents, establishing a problem list, extraction and classification of recommendations, and assigning tasks to those recommendations. Results Our search through ACOG clinical guidelines produced over 500 unique documents. After exclusions, and counting only sources relevant to obstetrics, we used 245 documents: 38 practice bulletins, 113 committee opinions, 16 endorsed publications, 1 practice advisory, 2 task force and work group reports, 2 patient education, 2 obstetric care consensus, 60 frequently asked questions (FAQ), 1 women's health care guidelines, 1 Prolog series, and 9 others (non-ACOG). Recommendations were classified as actionable (n = 576), informational (n = 493), for in-house summary (n = 124), education/counseling (n = 170), policy/advocacy (n = 33), perioperative care (n = 4), delivery recommendations (n = 50), peripartum care (n = 13), and non-ACOG (n = 25). Conclusion We described a methodology of translating ACOG narrative into a semi-structured format that can be more easily applied as CDS in the EHR. We believe this work can contribute to developing a library of information within ACOG that can be continually updated and disseminated to EHR systems for the most optimal decision support. We will continue documenting our process in developing executable code for decision support.

scholarly journals An in-hospital clinical care pathway with integrated decision support for cancer pain management reduced pain intensity and needs for hospital stay

2019 ◽  
Vol 28 (2) ◽  
pp. 671-682 ◽  
Author(s):  
Erik Torbjørn Løhre ◽  
Morten Thronæs ◽  
Cinzia Brunelli ◽  
Stein Kaasa ◽  
Pål Klepstad
Keyword(s):  
Decision Support ◽  
Pain Management ◽  
Cancer Pain ◽  
Hospital Stay ◽  
Pain Intensity ◽  
Care Pathway ◽  
Clinical Care ◽  
Cancer Pain Management ◽  
Clinical Care Pathway

scholarly journals Thank You to Our Reviewers

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Peter Cockcroft
Keyword(s):  
Veterinary Medicine ◽  
Patient Safety ◽  
Quality Improvement ◽  
Decision Support ◽  
Open Access ◽  
Workplace Learning ◽  
Information Needs ◽  
Current Evidence ◽  
Evidence Based ◽  
New Approach

<p>As Editor-in-chief I would like to thank all of our editors and reviewers for their continued support of the <em>Veterinary Evidence</em> journal and their diligence in meeting demanding timelines. Their knowledge, expertise and insights are duly acknowledged and highly valued. All reviewers who have taken the time to review for <em>Veterinary Evidence</em> are listed in the full text.</p><p>In the coming year we hope to develop a new approach and construct for the recognition and delivery of important information needs. This will take the form of a condition specific decision support algorithm with links to Knowledge Summaries providing the best current evidence. We also intend to publish a series of papers from targeted invited authors to highlight important areas of evidence-based practice including patient safety, quality improvement, business and workplace learning. We have also launched a Knowledge Summary competition for students studying veterinary medicine, veterinary nursing and veterinary bio-science, so that we may engage with the next generation of practice professionals.</p><p>I look forward to a challenging and innovative new year with your continued support.</p><p>Thank you to all who have contributed.</p><p> </p><br /> <img src="https://www.veterinaryevidence.org/rcvskmod/icons/oa-icon.jpg" alt="Open Access" />

Veterinary medicine on the information superhighway

1996 ◽  
Vol 11 (2) ◽  
pp. 100-105 ◽  
Author(s):  
Ken Boschert
Keyword(s):  
Veterinary Medicine ◽  
Information Superhighway

Clinical decision support

2013 ◽  
Vol 46 (2) ◽  
pp. 52
Author(s):  
CHRISTOPHER NOTTE ◽  
NEIL SKOLNIK
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Clinical Decision

The effects of workload and decision support automation on enroute R-side and D-side communication exchanges.

2001 ◽  
Author(s):  
Larry L. Bailey ◽  
Ben F. Willems ◽  
Linda M. Peterson
Keyword(s):  
Decision Support

Decision Support Systems and Informatics for Child Welfare Administrative Data to Inform Practice and Policy

2012 ◽  
Author(s):  
Hye-Chung Kum ◽  
Joy Stewart ◽  
Terry Moore ◽  
Michael Dineen
Keyword(s):  
Decision Support ◽  
Child Welfare ◽  
Decision Support Systems ◽  
Administrative Data ◽  
Support Systems
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