Integration of Guidelines for Comorbidities
NCT02928666 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 30
Last updated 2017-04-28
Summary
Introduction: in the course of the research, the investigators will develop a decision-support system (comorbidity-DSS) consisting (1) a knowledge base (KB) consisting of (a) computer-interpretable clinical guidelines for type 2 diabetes and 2 other diseases from: obstructive pulmonary disease, osteoporosis, hypertension, and osteoarthritis; and (b) an ontology of relevant general medical knowledge that could complement (a) in order to propose non conflicting treatment options not mentioned in the clinical practice guidelines; and (2) an algorithm that matches the KB with a patient's data set to identify the guidelines-based recommendations applicable for the patient and their interactions and which proposes ways to mitigate conflicting interactions (e.g., suggesting to select intervention A.2 (instead of A.1) from guideline A and intervention B.3 (instead of B.1) from guideline B together with an action B' mentioned in the general medical knowledge, because these interventions are not conflicting yet A.3 fulfills the same goals as intervention A.1 and intervention B.3 + B' together fulfill the same goal as B.1).
Research purpose: Assessing the correctness and completeness of detection of recommendation-interaction and generation of conflict-free recommendations by a comorbidity-DSS
Research question: How will the usage of the comorbidity-DSS affect the completeness and correctness of clinicians regarding (a) detection of interactions between recommendations originating from different clinical guidelines applicable for patients with comorbidities and (b) identification of interventions that fulfill the guidelines' goals and are not conflicting.
Conditions
- Type 2 Diabetes Mellitus
- Lung Diseases, Obstructive
- Osteoporosis
- Hypertension
- Osteoarthritis
Interventions
- OTHER
-
DSS for mitigating interactions between recommendations
DSS that detects and mitigates interactions between recommendations, proposing a set of non-conflicting guideline recommendations
Sponsors & Collaborators
-
University of Haifa
collaborator OTHER -
Rambam Health Care Campus
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- BASIC_SCIENCE
- Masking
- SINGLE
- Model
- CROSSOVER
Eligibility
- Min Age
- 18 Years
- Max Age
- 85 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2018-10-31
- Primary Completion
- 2019-07-31
- Completion
- 2019-09-30
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