Advanced Healthcare Analytics utilizes statistical techniques, predictive modeling, text and social data mining to provide insights to improve patient experience and reduce cost. Our Data Scientists have built custom algorithms that sift through healthcare data stored across multiple data sources, including structured, semi-structured, unstructured (including web and social data) and syndicated data sets to build statistical models delivering business insights.
Healthcare Analytics for Quality of Care:
- We help you make 30 Day Readmission predictions, segment patient populations and utilize 3rd party data sources like Demographics to improve personalized patient care.
Healthcare Analytics to improve Patient Experience:
- We provide analytics that improve patient experience including ‘predicting wait times’, providing ‘personalized care’, measuring ‘patient sentiment’ and ‘physician review’ including Clinical Variations.
Healthcare Analytics to reduce cost of care:
- Examples include improvement measures for ALOS, predicting ‘claims rejection’, predicting ‘non-payments’, analyzing Clinical Variations and Forecasting demand for supplies to optimize Inventory.
Capture Diverse and Valuable Data Sets
Our predictive solution can ingest raw data from any source be it flat files, spreadsheets, database, structured and unstructured data to have a single consistent view, as opposed to segregated records scattered throughout different businesses units. Data sources may include EHR/EMR, Patient Surveys, OR Data, Provider Data, Claims and other structured or unstructured data like Notes and Logs. We also bring in 3rd party data sets like socio-economic, financial or demographic data for richer insights as needed.
Visualize on the Go
View your Dashboards on the Cloud or at your desk. If you already have a preferred visualization tool, we can work with that too! We will build the dashboards to suit your needs. All you need to do is use them