ArticleJournal of the American Medical Informatics Association : JAMIA2017
Utilizing patient geographic information system data to plan telemedicine service locations.
Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of Spatial Analysis on Electronic Health Records to Characterize Patient Phenotypes: Systematic Review.JMIR medical informatics · 2024Pooled it
- Geospatial Demand for Approved Cleft Care in the United States.Plastic and reconstructive surgery. Global open · 2024Article
- Examining rehabilitation access disparities: an integrated analysis of electronic health record data and population characteristics through bivariate choropleth mapping.BMC health services research · 2024Article
- An interactive geographic information system to inform optimal locations for healthcare services.PLOS digital health · 2023Article
- Examining How Social Risk Factors Are Integrated Into Clinical Settings Using Existing Data: A Scoping Review.Annals of family medicine · 2023Article
- Patient-specific and healthcare real-world costs of atrial fibrillation in individuals treated with direct oral anticoagulant agents or warfarin.BMC health services research · 2021Article
- Diagnostic precision and identification of rare diseases is dependent on distance of residence relative to tertiary medical facilities.Orphanet journal of rare diseases · 2021Article
- Progress towards using community context with clinical data in primary care.Family medicine and community health · 2019Article
- Geographic Distribution of the Hearing Aid Dispensing Workforce: A Teleaudiology Planning Assessment for Arizona.American journal of audiology · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo understand potential utilization of clinical services at a rural integrated health care system by generating optimal groups of telemedicine locations from electronic health record (EHR) data using geographic information systems (GISs).
methodsThis retrospective study extracted nonidentifiable grouped data of patients over a 2-year period from the EHR, including geomasked locations. Spatially optimal groupings were created using available telemedicine sites by calculating patients' average travel distance (ATD) to the closest clinic site.
resultsA total of 4027 visits by 2049 unique patients were analyzed. The best travel distances for site groupings of 3, 4, 5, or 6 site locations were ranked based on increasing ATD. Each one-site increase in the number of available telemedicine sites decreased minimum ATD by about 8%. For a given group size, the best groupings were very similar in minimum travel distance. There were significant differences in predicted patient load imbalance between otherwise similar groupings. A majority of the best site groupings used the same small number of sites, and urban sites were heavily used. DISCUSSION: With EHR geospatial data at an individual patient level, we can model potential telemedicine sites for specialty access in a rural geographic area. Relatively few sites could serve most of the population. Direct access to patient GIS data from an EHR provides direct knowledge of the client base compared to methods that allocate aggregated data.
conclusionGeospatial data and methods can assist health care location planning, generating data about load, load balance, and spatial accessibility.
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