Bilici, Eda, Despotou, George and Arvanitis, Theodoros N. (2018) The use of computer-interpretable clinical guidelines to manage care complexities of patients with multimorbid conditions : a review. Digital Health, 4 . pp. 1-21. doi:10.1177/2055207618804927 ISSN 2055-2076.
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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.
| Item Type: | Journal Article |
|---|---|
| Subjects: | R Medicine > R Medicine (General) |
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) |
| Library of Congress Subject Headings (LCSH): | Clinical medicine -- Decision making, Medical care, Drug utilization |
| Journal or Publication Title: | Digital Health |
| Publisher: | SAGE Publications Ltd. |
| ISSN: | 2055-2076 |
| Official Date: | 3 October 2018 |
| Dates: | Date Event 3 October 2018 Published 5 September 2018 Accepted |
| Volume: | 4 |
| Page Range: | pp. 1-21 |
| DOI: | 10.1177/2055207618804927 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Open Access (Creative Commons open licence) |
| Date of first compliant deposit: | 5 October 2018 |
| Date of first compliant Open Access: | 8 October 2018 |
| RIOXX Funder/Project Grant: | Project/Grant ID RIOXX Funder Name Funder ID |
| Open Access Version: | |
| URI: | https://wrap.warwick.ac.uk/109295/ |
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