Accenture Global Services Gmbh

Brad H Ruderman

Dadong Wan

Pramila Mullan

Joshua Patterson

Erin Maneri

Nathan Shetterley

Shan Lu

Alice Tsing

Jitendra Kavathekar

According to an example, collaborative healthcare may include retrieving healthcare data for a patient from at least one data source, and generating a plurality of distinct healthcare programs for the patient based on the healthcare data. Collaborative healthcare may further include reconciling the plurality of distinct healthcare programs to generate a universal patient healthcare plan for the patient. The universal patient healthcare plan may include a universal view of the overall healthcare for the patient and healthcare provider-specific views for the patient. The reconciling may include detecting conflicts for predetermined components of the healthcare programs, and in response to the detection of the conflicts, eliminating errors related to the detected conflicts.

Collaborative healthcare

A system acquires geocoded data, smoothes the geocoded data, and displays the smoothed geocoded data in a graphical visualization representative of the physical locations of the acquired geocoded data. The system obtains an indication of operational parameters for smoothing geocoded data, such as a data precision level, viewing window, data characteristics, and smoothing parameters. The system generates an area map that includes entries for each location in the viewing window (or other predetermined area) according to the data precision level. The system may populate any entries without associated data values with a zero value. To process the geocoded data, the system may determine a vector of interest from the area map and generate, for example, a single smoothing matrix that smoothes each of the values in the vector of interest. The system applies the smoothing matrix to the vector of interest.

Geospatial smoothing in web applications

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San Francisco, CA, United States of America

Brad H Ruderman