In Home Assessment
Engine (IHA)

Most programs still target broadly, which is why industry in-home assessment engagement often sits under 25 percent and why a large share of completed visits return little value.

Propensity modeling changes the targeting question from who is eligible to who will actually complete a visit that yields something. Invent Health scores members on historical visit completion behavior, contactability and homebound status, social drivers of health, provider coordination potential, and seasonal trends and outreach timing.

The second half is the value side: linking each member to suspect HCCs, missed chronic conditions, or prior-year gaps, and to care gaps such as diabetes eye exams or colorectal screenings that can be closed in the home. A member who is both likely to complete and carrying unclosed value is the one worth the visit.

By modeling the return per visit before it happens and measuring recapture after. The IHA ROI calculator estimates per-visit impact by modeling RAF score improvement, net revenue increase, quality measure lift including Star ratings, and avoided downstream costs such as ED visits and readmissions.

Post-visit analytics then track completion rates, documentation quality, and recaptured risk, and flag visits that did not yield expected value so vendor performance can be addressed with evidence. Those results feed back into the suspecting models to improve next-round targeting.

The published example is a Use Case Snapshot rather than a named customer result: a plan with 120,000 Medicare Advantage members running a mixed field vendor and tele-IHA program that had underperformed for three years.

Reported in that snapshot: visit completion up from 41 percent to 65 percent, RAF lift per 1,000 IHAs up 22 percent, waste reduction on non-ROI visits down 36 percent, net revenue improvement of 4.2 million dollars annually, and high-need member engagement up 2.5 times.

Invent Health publishes these as capability illustrations. Results depend on the starting program, population, and vendor mix.

Yes. Provider group and vendor routing segments high-impact members by provider group, geography, or vendor capacity, and supports routing to in-home vendors, field staff, or telehealth teams for coordinated follow-up.

Post-visit analytics make vendor management evidence-based, flagging visits that did not yield expected value so a conversation about performance rests on measured yield rather than completion counts.

By flagging RADV-prone risk codes for enhanced documentation review before the assessment, so the assessor knows which conditions need documentation that will survive an audit.

An in-home assessment that captures a condition without defensible supporting documentation adds audit exposure rather than reducing it, which under extrapolated RADV findings is a materially worse outcome than not capturing it at all.