Strengthening medical-cost portfolios, with the triple aim of improving healthcare affordability, access, and quality
What we do
Payment integrity to safeguard patients and other stakeholders
We implement analytics and best practices to reduce fraud, waste, and abuse.
Appropriate services for patients
We create new levers and strengthen policies and processes to manage service and supply utilization.
Pharmacy-value-chain optimization
We refine access to appropriate medications and high quality of care at the best price.
Care gaps and opportunities for heightened risk accuracy
We optimize systems and processes to prevent diagnosis and coding gaps, enhance case management, and patient outreach and education.
Examples of our work
Portfolio ideation
A national payer was experiencing an increasing medical-cost trend, challenging investments in market-growth and quality initiatives. We launched a three-year transformation project, which resulted in a more than $6 billion run-rate impact over three years. To drive the change and portfolio ideation, we embedded experts and data scientists in the organization to develop analytics and tools for opportunity identification, which tools included clinical appropriateness “hot spotting” based on natural-language processing; automated, artificial-intelligence-based claim-auditing software; and proprietary and third-party clinical data sets paired with custom risk-adjustment methodologies.
Medical-cost management
A regional payer was seeking to align its medical policies with those of local peers to manage medical-cost trend better while reducing provider abrasion. We deployed an automated benchmarking capability that identified hundreds of medical-policy amendments, valued at 1.5 percent of medical-benefit expense, on day one.
Reduction of fraudulent claims
A national payer in East Asia was experiencing an uptick in fraudulent claims, challenging its financial viability and the health of its members. In fewer than six months, we built and transferred an artificial-intelligence-based fraud-identification engine and redesigned the payer’s payment-integrity workflows and programs. The combination of efforts drove a 2 percent reduction in medical-benefit expense on a run-rate basis, with a fivefold improvement in auditing hit rates.
Featured insight
Article
Using machine learning to unlock value across the healthcare value chain
-
Machine learning is transforming the healthcare industry by changing the way care is delivered, and its impact is poised to increase.
Featured experts

Sameer Chowdhary
PartnerDallas
Serves healthcare organizations, including payers, integrated-delivery systems, and health systems on topics related to operational...

Gunjan Khanna
Senior PartnerPittsburgh
Leads McKinsey’s healthcare innovation work with investors to improve quality access and new delivery models, serving industry...

Mahi Rayasam
PartnerOhio - Columbus
Brings deep experience (across peer-reviewed and client implemented impact) in AI and advanced analytics, innovation and product...

Prashanth Reddy
Senior PartnerNew Jersey
As a leader in the Healthcare, Private Equity & Principal Investors, and Technology, Media & Telecommunications Practices, serves...