Abstract
Geospatial data is a location-specific data. The data contains natural geographical markers and man-made changes. For instance, natural markers include geolocation perimeter and man-made changes include global warming trends & pollution indexes. We strongly suggest that interweaving geospatial data, especially pollution index, with outpatient electronic health records can lead into detection of critical health markers and can make it possible to shift from reactive to preventive health care, thereby saving billions of dollars worldwide and improve overall health outcomes to outpatients. In this research paper, we propose an integration of geospatial data with the EHR and aim to solve one of the most important issues in outpatient healthcare “on-set of life-threatening diseases due to changes in geospatial”. Finally, the paper presents a prototyping solution design as well as its application and certain experimental results.
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Notes
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Asthma capitals 2018 - http://www.aafa.org/asthma-capitals-emergency-department-visits/.
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Geospatial relationships of air pollution and acute asthma events across the Detroit–Windsor international border: Study design and preliminary results - https://www.nature.com/articles/jes201378.
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You can control your asthma - https://www.cdc.gov/asthma/pdfs/asthma_brochure.pdf.
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EPA Daily Data Download - https://www.epa.gov/outdoor-air-quality-data/download-daily-data.
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Vuppalapati, C., Ilapakurti, A., Kedari, S., Vuppalapati, R., Vuppalapati, J., Kedari, S. (2019). Population Healthcare AI (PopHealthAI)—The Role of Geospatial Infused Electronic Health Records in Creating the Next Generation Preventive HealthCare. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_36
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