Creating indoor maps for healthcare facilities not only helps users navigate the building, but it can also help to identify areas of inefficiency. Doing so will help patients receive, and health care workers provide, services in a more streamlined and effective manner saving everyone both time and money.
Activity trackers and smartwatches are one of most commonly used IoT technologies. Each user of the device is able to monitor things like heart rate, steps taken, amount of sleep, and even stress. Integrate this data to help with research or to understand your own health patterns further.
A commonly shared scenario in both the healthcare and GIS world is how John Snow was able to identify the cause of cholera outbreaks through spatial analysis. With support for data formats like LiDAR, imagery, and other geospatial data, you can track what spatial variables may be impacting the spread of a disease or virus.
With spatial, three-dimensional, and even DICOM support available, your health care data can be manipulated and shared however you want it. Don’t limit yourself to typically used procedures. Instead, use your creativity to do something new that will help both yourself and those that you impact.
City of Hamilton
When the West Nile Virus became prominent in the City of Hamilton, they used FME to automate surveillance efforts. A combination of tabular data and GIS data was used to put the pieces together and create maps and visuals to display the problem.
California CAD Solutions
To ensure that the American Disabilities Act (ADA) was being met, California CAD used FME to easily integrate applications and process geospatial files to provide municipalities with reports on various areas of their city that needed updates to comply with the ADA. Individual reports can now be integrated as needed within each city’s data repositories.
University of Oxford
Researchers at the University of Oxford have been able to leverage FME to integrate raster images, vector polygons, tabular data, and 3D models to learn more about the progression of eye diseases. Being a leader in spatial data, FME has enabled researchers to understand the spatial features of the eye in more detail.