Identification of validated case definitions for chronic disease using electronic medical records: a systematic review protocol
- PMID: 28231810
- PMCID: PMC5322672
- DOI: 10.1186/s13643-017-0431-9
Identification of validated case definitions for chronic disease using electronic medical records: a systematic review protocol
Abstract
Background: Primary care electronic medical record (EMR) data are being used for research, surveillance, and clinical monitoring. To broaden the reach and usability of EMR data, case definitions must be specified to identify and characterize important chronic conditions. The purpose of this study is to identify all case definitions for a set of chronic conditions that have been tested and validated in primary care EMR and EMR-linked data. This work will provide a reference list of case definitions, together with their performance metrics, and will identify gaps where new case definitions are needed.
Methods: We will consider a set of 40 chronic conditions, previously identified as potentially important for surveillance in a review of multimorbidity measures. We will perform a systematic search of the published literature to identify studies that describe case definitions for clinical conditions in EMR data and report the performance of these definitions. We will stratify our search by studies that use EMR data alone and those that use EMR-linked data. We will compare the performance of different definitions for the same conditions and explore the influence of data source, jurisdiction, and patient population.
Discussion: EMR data from primary care providers can be compiled and used for benefit by the healthcare system. Not only does this work have the potential to further develop disease surveillance and health knowledge, EMR surveillance systems can provide rapid feedback to participating physicians regarding their patients. Existing case definitions will serve as a starting point for the development and validation of new case definitions and will enable better surveillance, research, and practice feedback based on detailed clinical EMR data.
Systematic review registration: PROSPERO CRD42016040020.
Keywords: Big data; Case definitions; Chronic disease; Electronic medical record; Systematic review.
Similar articles
-
Identification of validated case definitions for medical conditions used in primary care electronic medical record databases: a systematic review.J Am Med Inform Assoc. 2018 Nov 1;25(11):1567-1578. doi: 10.1093/jamia/ocy094. J Am Med Inform Assoc. 2018. PMID: 30137498 Free PMC article.
-
Development and validation of method for defining conditions using Chinese electronic medical record.BMC Med Inform Decis Mak. 2016 Aug 20;16:110. doi: 10.1186/s12911-016-0348-6. BMC Med Inform Decis Mak. 2016. PMID: 27542973 Free PMC article.
-
Importance of different electronic medical record components for chronic disease identification in a Swiss primary care database: a cross-sectional study.Swiss Med Wkly. 2023 Oct 2;153:40107. doi: 10.57187/smw.2023.40107. Swiss Med Wkly. 2023. PMID: 37854021
-
Asthma electronic medical records in primary care: an integrative review.J Asthma. 2010 Oct;47(8):895-912. doi: 10.3109/02770903.2010.4911411. J Asthma. 2010. PMID: 20854201 Review.
-
Open source EMR software: profiling, insights and hands-on analysis.Comput Methods Programs Biomed. 2014 Nov;117(2):360-82. doi: 10.1016/j.cmpb.2014.07.002. Epub 2014 Jul 17. Comput Methods Programs Biomed. 2014. PMID: 25070757 Review.
Cited by
-
Validation of Acute Exacerbation of Chronic Obstructive Pulmonary Disease Recording in Electronic Health Records: A Systematic Review.Chronic Obstr Pulm Dis. 2025 Mar 27;12(2):190-202. doi: 10.15326/jcopdf.2024.0577. Chronic Obstr Pulm Dis. 2025. PMID: 39912869 Free PMC article.
-
Identification of validated case definitions for medical conditions used in primary care electronic medical record databases: a systematic review.J Am Med Inform Assoc. 2018 Nov 1;25(11):1567-1578. doi: 10.1093/jamia/ocy094. J Am Med Inform Assoc. 2018. PMID: 30137498 Free PMC article.
-
Denominators Matter: Understanding Medical Encounter Frequency and Its Impact on Surveillance Estimates Using EHR Data.EGEMS (Wash DC). 2019 Jul 23;7(1):31. doi: 10.5334/egems.292. EGEMS (Wash DC). 2019. PMID: 31367648 Free PMC article.
-
Identified mental disorders in older adults in primary care: A cross-sectional database study.Eur J Gen Pract. 2018 Dec;24(1):84-91. doi: 10.1080/13814788.2017.1402884. Eur J Gen Pract. 2018. PMID: 29353511 Free PMC article.
-
Late presentation of HIV positive adults and its predictors to HIV/AIDS care in Ethiopia: a systematic review and meta-analysis.BMC Infect Dis. 2019 Jun 17;19(1):534. doi: 10.1186/s12879-019-4156-3. BMC Infect Dis. 2019. PMID: 31208360 Free PMC article.
References
-
- Quan H, Smith M, Barlett-Esquilant G, Johansen H, Tu K, Lix L, Hypertension Outcome and Surveillance Team Mining administrative health databases to advance medical science: geographical considerations and untapped potential in Canada. Can J Cardiol. 2012;28:152–4. doi: 10.1016/j.cjca.2012.01.005. - DOI - PubMed
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical