The digital health space refers to the integration of technology and health care services to improve the overall quality of health care delivery. It encompasses a wide range of innovative and emerging technologies such as wearables, telehealth, artificial intelligence, mobile health, and electronic health records (EHRs). The digital health space offers numerous benefits such as improved patient outcomes, increased access to health care, reduced costs, and improved communication and collaboration between patients and health care providers. For example, patients can now monitor their vital signs such as blood pressure and glucose levels from home using wearable devices and share the data with their doctors in real-time. Telehealth technology allows patients to consult with their health care providers remotely without having to travel to the hospital, making health care more accessible, particularly in remote or rural areas. Artificial intelligence can be used to analyze vast amounts of patient data to identify patterns, predict outcomes, and provide personalized treatment recommendations. Overall, the digital health space is rapidly evolving, and the integration of technology in health

Thursday, April 23, 2015

Big Data and Mapping


Data mapping is more easily presented and understood more than conventional tables. The Federal and State public health agencies now  present public health statistics, demographics and disease prevalence in a map format. Data maps are the result of converting fields and tables into a graphic presentation in different formats. Bar graphs, Pie graphs, and more presentations such as shaded areas on maps indicating higher and/or lower incidences of disease, population demographics, and

Most physicians are familiar with these formats, however there are sources to educate professionals how to interpret data by Mapping.



GIS, or Graphic Information Software is readily available from many sources. 





 gvSIG – gvSIG



 ESRI ArcGIS – ArcGIS


  GIS is a visiual tool essential for population health studies, and may also be applied to outcome studies   by region,or health plans

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