Risk Management
CCS had decades of proprietary diabetes-care data but needed a practical way to turn it into earlier, more personalized interventions that would improve adherence and reduce the cost of chronic-care management.
Reported impact
CCS moved from retrospective reporting to earlier intervention, improving patient adherence, enabling more informed care-management decisions, and lowering avoidable costs for high-risk diabetes populations.
Accenture worked with CCS to build a predictive care-management stack centered on two linked assets: the Customer Analytics Record (CAR) and PropheSee, an AI-powered predictive model. The team first analyzed more than two decades of CCS internal data and combined it with social determinants of health information to create a longitudinal patient view in CAR. That unified data foundation was integrated with CCS's existing Azure Data Lake environment so predictive models could be trained and operationalized without rebuilding the broader data estate. Multiple models were evaluated before the team selected a winning model that predicts patient behavior almost three months in advance. CAR data then feeds intervention programs and outreach messaging so CCS can target high-risk patients earlier, tailor engagement, and support treatment adherence with a more proactive chronic-care operating model.
CCS internal records and social determinants of health data are combined into CAR and connected to Azure Data Lake. Predictive models in PropheSee score patient behavior and adherence risk, and those outputs trigger intervention programs and messages that help care teams reach high-risk patients earlier.
"CCS and Accenture are revolutionizing patient care through PropheSee, an AI-powered predictive model"
"The team combined CCS's internal data and social determinants of health information"
"develop a Customer Analytics Record (CAR) ... and an AI-powered predictive model using advanced analytics"
"the "winning’ model achieving an impressive 85% accuracy in predicting patient behavior almost three months in advance"
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
The page lists "Corporate Headquarters" in St. Petersburg, Florida at 160 Fountain Pkwy N, Suite 200.
Revelio states CCS Medical Holdings, Inc. employs 1,171 people worldwide as of March 2026.
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