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Population Healthcare AI (PopHealthAI)—The Role of Geospatial Infused Electronic Health Records in Creating the Next Generation Preventive HealthCare

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Book cover Intelligent Human Systems Integration 2019 (IHSI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 903))

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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

  1. 1.

    Asthma capitals 2018 - http://www.aafa.org/asthma-capitals-emergency-department-visits/.

  2. 2.

    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.

  3. 3.

    EPA - https://www3.epa.gov/airnow/asthma-flyer.pdf.

  4. 4.

    You can control your asthma - https://www.cdc.gov/asthma/pdfs/asthma_brochure.pdf.

  5. 5.

    EPA Daily Data Download - https://www.epa.gov/outdoor-air-quality-data/download-daily-data.

References

  1. Barnett, S.B., Nurmagambetov, T.A.: Costs of asthma in the United States: 2002–2007. https://www.ncbi.nlm.nih.gov/pubmed/21211649

  2. Asthma and Allergy Foundation of America, Asthma Capitals 2018: Asthma-Related Emergency Department Visits. http://www.aafa.org/asthma-capitals-emergency-department-visits/, http://www.aafa.org/asthma-capitals-emergency-department-visits/

  3. Center for Disease Control (CDC), “Common Asthma Triggers”. https://www.cdc.gov/asthma/triggers.html

  4. Air Quality Monios. https://epa.maps.arcgis.com/apps/webappviewer/index.html?id=f239fd3e72f424f98ef3d5def547eb5&extent=-146.2334,13.1913,-46.3896,56.5319

  5. Apple, Core Location Service. https://developer.apple.com/documentation/corelocation/clgeocoder

  6. Leskovec, M.J., Rajaraman, A., Ullman, D.: Mining of Massive Datasets. ISBN 9781107077232

    Google Scholar 

  7. Han, J.: Data Mining: Concepts and Techniques (2000). ISBN-13 978-0123814791

    Google Scholar 

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Author information

Authors and Affiliations

  1. Hanumayamma Innovations and Technologies, Inc., Fremont, CA, USA

    Chandrasekar Vuppalapati, Anitha Ilapakurti, Sharat Kedari & Rajasekar Vuppalapati

  2. Hanumayamma Innovations and Technologies Private Limited, Hyderabad, India

    Jayashankar Vuppalapati & Santosh Kedari

Authors
  1. Chandrasekar Vuppalapati
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  2. Anitha Ilapakurti
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  3. Sharat Kedari
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  4. Rajasekar Vuppalapati
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  5. Jayashankar Vuppalapati
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  6. Santosh Kedari
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Corresponding author

Correspondence to Chandrasekar Vuppalapati .

Editor information

Editors and Affiliations

  1. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  2. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

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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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