Computer technologies to integrate medical treatments to manage multimorbidity
- PMID: 28942139
- DOI: 10.1016/j.jbi.2017.09.009
Computer technologies to integrate medical treatments to manage multimorbidity
Abstract
The high prevalence of multimorbid cases is a challenge for Health-Care Systems today. Clinical practice guidelines are the means to register and transmit the available evidence-based medical knowledge concerning concrete diseases. Several computer languages have been defined to represent this knowledge in a way that computers could use to help physicians in the daily practice of medicine. The generation of guidelines for all possible multimorbidities entails several issues that are difficult to address. Consequently, numerous medical informatics technologies have appeared merging computer information structures in a way that the treatment knowledge about single diseases could be combined in order to deliver health-care to patients suffering from multimorbidity. This paper proposes a classification of the most promising current technologies addressing this issue and provides an analysis of their maturity, strengths, and weaknesses. We conclude with an enumeration of ten relevant issues to consider when developing such technologies.
Keywords: Co-morbidity; Management of concomitant diseases; Multimorbidity; Treatment integration techniques.
Copyright © 2017 Elsevier Inc. All rights reserved.
Similar articles
-
Ten years of knowledge representation for health care (2009-2018): Topics, trends, and challenges.Artif Intell Med. 2019 Sep;100:101713. doi: 10.1016/j.artmed.2019.101713. Epub 2019 Sep 7. Artif Intell Med. 2019. PMID: 31607346 Review.
-
Applications and impact of computer technologies in management of multimorbidity.J Pak Med Assoc. 2020 Sep;70(9):1572-1576. doi: 10.5455/JPMA.37601. J Pak Med Assoc. 2020. PMID: 33040111
-
Are big data analytics helpful in caring for multimorbid patients in general practice? - A scoping review.BMC Fam Pract. 2019 Feb 27;20(1):37. doi: 10.1186/s12875-019-0928-5. BMC Fam Pract. 2019. PMID: 30813904 Free PMC article.
-
Expanding a First-Order Logic Mitigation Framework to Handle Multimorbid Patient Preferences.AMIA Annu Symp Proc. 2015 Nov 5;2015:895-904. eCollection 2015. AMIA Annu Symp Proc. 2015. PMID: 26958226 Free PMC article.
-
Minimally disruptive medicine is needed for patients with multimorbidity: time to develop computerised medical record systems to meet this requirement.J Innov Health Inform. 2015 Feb 19;22(1):250-4. doi: 10.14236/jhi.v22i1.136. J Innov Health Inform. 2015. PMID: 25924558
Cited by
-
A framework for automated conflict detection and resolution in medical guidelines.Sci Comput Program. 2019 Aug 1;182:42-63. doi: 10.1016/j.scico.2019.07.002. Sci Comput Program. 2019. PMID: 32029957 Free PMC article.
-
Clinical and operational insights from data-driven care pathway mapping: a systematic review.BMC Med Inform Decis Mak. 2022 Feb 17;22(1):43. doi: 10.1186/s12911-022-01756-2. BMC Med Inform Decis Mak. 2022. PMID: 35177058 Free PMC article.
-
[Effectiveness of interventions based on telemedicine on health outcomes in patients with multimorbidity in Primary Care: A systematic review].Aten Primaria. 2020 Dec;52(10):759-769. doi: 10.1016/j.aprim.2019.08.004. Epub 2019 Dec 5. Aten Primaria. 2020. PMID: 31813545 Free PMC article. Spanish.
-
ROAD2H: Development and evaluation of an open-source explainable artificial intelligence approach for managing co-morbidity and clinical guidelines.Learn Health Syst. 2023 Sep 12;8(2):e10391. doi: 10.1002/lrh2.10391. eCollection 2024 Apr. Learn Health Syst. 2023. PMID: 38633019 Free PMC article.
-
Towards a framework for comparing functionalities of multimorbidity clinical decision support: A literature-based feature set and benchmark cases.AMIA Annu Symp Proc. 2022 Feb 21;2021:920-929. eCollection 2021. AMIA Annu Symp Proc. 2022. PMID: 35308994 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources