GIS Based Healthcare Analytics

GIS oriented public health research has a strong focus on the locations of patients and the agents of disease, and studies the community and region level patterns and variations, and the impact of demographical, socio-economical, and environmental factors on diseases and human health. In the past, due to limited accessibility of health outcome data, public health studies often were limited at macro scale levels such as county level, and may not allow public health researchers and health officials to adequately identify, analyze, and monitor health problems at the community level.

In this research, we take advantage of New York State SPARCS open dataset, which collects patient level detail on patient characteristics, diagnoses and treatments, services, and charges for each hospital inpatient stay and outpatient. Such data also provides street level location information for each patient and healthcare facility site. Through geocoding and geo-mapping, we provide spatial oriented data analysis on New York state health records at the community level. We study geospatial distributions of diseases in New York State at multiple spatial resolutions, and provide multi-dimensional analysis by grouping patients into different groups. We discover potential spatial clusters, hot spots or anomalies of disease distributions. We also study potential correlations between socio-economic determinants and diseases by integrating additional spatial datasets, including social-economic data and environment data. In addition to spatial based analytics, we are also exploring temporal, spatial-temporal patterns of diseases and the potential determinants.