ReviewDigital health
The use of computer-interpretable clinical guidelines to manage care complexities of patients with multimorbid conditions: A review.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Are Canadian Clinical Practice Guidelines Accounting for Adults With Multiple Chronic Diseases? A Systematic Review.Journal of evaluation in clinical practice · 2025Pooled it
- Structural Patterns in Chronic Disease Clinical Practice Guidelines Formalized for Clinical Decision Support.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Guideline
- Successful implementation of a trans-jurisdictional, primary care, anticipatory care planning intervention for older adults at risk of functional decline: interviews with key health professionals.BMC health services research · 2021Trial
- Long-term beta blocker prescribing after myocardial infarction in European primary care (PRACTITIONER).BMC primary care · 2026Article
- A Digital Tool for Clinical Evidence-Driven Guideline Development by Studying Properties of Trial Eligible and Ineligible Populations: Development and Usability Study.Journal of medical Internet research · 2025Article
- Data Interoperability for Ambulatory Monitoring of Cardiovascular Disease: A Scientific Statement From the American Heart Association.Circulation. Genomic and precision medicine · 2024Article
- Digitalizing Clinical Guidelines: Experiences in the Development of Clinical Decision Support Algorithms for Management of Childhood Illness in Resource-Constrained Settings.Global health, science and practice · 2023Article
- Polypharmacy and the Change of Self-Rated Health in Community-Dwelling Older Adults.International journal of environmental research and public health · 2023Article
- EQRbot: A chatbot delivering EQR argument-based explanations.Frontiers in artificial intelligence · 2023Article
- Advancing multimorbidity management in primary care: a narrative review.Primary health care research & development · 2022Review
- Transitioning to Digital Systems: The Role of World Health Organization's Digital Adaptation Kits in Operationalizing Recommendations and Interoperability Standards.Global health, science and practice · 2022Article
- Towards a framework for comparing functionalities of multimorbidity clinical decision support: A literature-based feature set and benchmark cases.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Building a Digital Tool for the Adoption of the World Health Organization's Antenatal Care Recommendations: Methodological Intersection of Evidence, Clinical Logic, and Digital Technology.Journal of medical Internet research · 2020Article
- A framework for automated conflict detection and resolution in medical guidelines.Science of computer programming · 2019Article
- Alerts for community pharmacist-provided medication therapy management: recommendations from a heuristic evaluation.BMC medical informatics and decision making · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clinical practice guidelines (CPGs) document evidence-based information and recommendations on treatment and management of conditions. CPGs usually focus on management of a single condition; however, in many cases a patient will be at the centre of multiple health conditions (multimorbidity). Multiple CPGs need to be followed in parallel, each managing a separate condition, which often results in instructions that may interact with each other, such as conflicts in medication. Furthermore, the impetus to deliver customised care based on patient-specific information, results in the need to be able to offer guidelines in an integrated manner, identifying and managing their interactions. In recent years, CPGs have been formatted as computer-interpretable guidelines (CIGs). This enables developing CIG-driven clinical decision support systems (CDSSs), which allow the development of IT applications that contribute to the systematic and reliable management of multiple guidelines. This study focuses on understanding the use of CIG-based CDSSs, in order to manage care complexities of patients with multimorbidity. The literature between 2011 and 2017 is reviewed, which covers: (a) the challenges and barriers in the care of multimorbid patients, (b) the role of CIGs in CDSS augmented delivery of care, and (c) the approaches to alleviating care complexities of multimorbid patients. Generating integrated care plans, detecting and resolving adverse interactions between treatments and medications, dealing with temporal constraints in care steps, supporting patient-caregiver shared decision making and maintaining the continuity of care are some of the approaches that are enabled using a CIG-based CDSS.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.