Cigna announced on Thursday that its application of artificial intelligence to member care management is expected to reduce customer medical expenses by $200 million over the coming three years. The insurer said the AI-driven programs are designed to find members with chronic or complex conditions earlier and route them to clinical staff who can intervene sooner.
A president at Cigna Healthcare, Bryan Holgerson, described the role of the technology as helping to prevent higher-cost health events by identifying needs before hospitalization or emergency care becomes necessary, noting that costs for those services continue to rise. Cigna plans to use these systems to expand connections between members and clinicians it employs, including nurses.
The company said the software will enable its roughly 1,250 clinicians to manage patients’ healthcare needs more proactively and to deliver more tailored support at an earlier stage. In a press release, Cigna said the changes are expected to lift clinical access by about 20% for people with illnesses such as cancer and heart or kidney disease.
Cigna also said it expects the new technology to assist in earlier detection of breast, colorectal and lung cancers. A company spokesperson cited internal data estimating that members who use these clinical programs save about $2,000 per year in medical costs.
The Cigna Group includes the health insurer Cigna Healthcare, the clinical business Evernorth Health Services, and the pharmacy benefit manager Express Scripts.
In related industry developments, UnitedHealth said last week that tools introduced this year at its Optum health services unit have eased administrative work for clinicians it employs and increased the time providers can spend with patients. Separately, CVS Health announced last week plans to roll out an AI assistant intended to call providers directly and book appointments on behalf of members.
These announcements come as health insurers and their affiliated clinical and pharmacy businesses expand the use of AI to streamline workflows, extend clinical reach, and target interventions that could reduce downstream costs for members. Cigna’s stated $200 million savings estimate and the company’s per-member savings figure of $2,000 are based on its internal data and projections.
Observers should note that the outcomes Cigna describes are framed as expectations of the technology’s impact - including earlier cancer identification and increased clinical access - rather than guaranteed results. The company is deploying the tools across its employed clinical workforce and related businesses as it seeks to translate algorithmic identification into timely clinician engagement and measurable cost reductions.