Outcomes and ROI Study
Three to six weeks, $15,000 to $30,000, fixed. We measure whether a program, care model or AI tool worked by comparing the people in it with similar people who weren't, then put the savings in dollars in a report your board, funders or a payer can check.
Prefer to skip the call? Get a written proposal
Built for
- Care management, palliative or home-based programs up for renewal
- Organizations proving value to a payer or funder
- Leaders deciding whether to renew an AI tool or vendor contract
- Digital health companies whose health plan or employer customers want savings proven against a comparison group
Why it's worth it
Today
If the case for a program at renewal is a before-and-after chart, a CFO or payer can wave it off, because the people who enroll may differ from those who don't, and many patients with a bad year improve on their own.
After
You show how participants did against similar people who weren't in the program, in visits, admissions and dollars, with the method written out. The board or payer can check it, and you know which parts to keep.
What you get
Week 1
The question and the data
We agree on what success means and which outcomes count, and check whether your data can answer the question.
Weeks 2–4
Matched comparison
Each participant is paired with similar people who weren't in the program, matched on factors such as age, diagnoses and past use, through propensity score matching or a similar method.
Weeks 3–5
Costs and savings
Differences in visits, admissions and cost turned into a return on investment, with every assumption shown.
Final week
Report
A short report in your branding for leadership, funders or a payer, with the full method in an appendix.
Tyler has done this before
In a project with a health plan, he was the analytical lead on the return-on-investment analysis of a home-based palliative care service line, comparing its patients with closely matched patients who didn't use it (propensity-matched cohorts). He also worked with a health policy center on cost modeling for analyses that supported Medicare drug-price negotiation. His research appears in nine peer-reviewed journal papers.
Price
One fixed price, written into your proposal. There's no monthly fee.
One program evaluation
For one program up for review
Price: from$15,000
Up to $30,000, depending on how many outcomes and data sources the study covers.
One time
3–6 weeks
Whether one program worked, measured against a matched comparison group, with the return in dollars.
What's included in One program evaluation
- A week-one check that your data can answer the question
- A matched comparison group from your claims or encounter data
- Visits, admissions and costs compared, with the return on investment
- A short report in your branding, ready to forward
- The full method in an appendix, written for outside review
Payment and terms
- Under $20,000, half at signing and half at delivery. From $20,000, 40% at signing, 30% at a mid-study review and 30% at acceptance
- Paying by purchase order? There's no deposit: we invoice half at kickoff and half at acceptance, or from $20,000, 25% at kickoff, 35% at a mid-study review and 40% at acceptance
- A limited data set (dates and ZIP codes, no names) under a Data Use Agreement, or a BAA, once our insurance is in place
- Method written to stand up to outside review
Start and finish dates are set in writing in your proposal.
Tyler Kent does this work himself. He has 13+ years in data science and analytics, most of it in healthcare. About Tyler
Questions
Why not compare before and after?
People who join a program can differ from those who don't, and patients with a bad year tend to have a better one next year with or without help. A before-and-after chart counts all of that as the program's effect. A matched comparison sets participants beside similar people who didn't join and had a similar year before, so the recovery that would have happened anyway shows up in both groups. Matching can only account for differences the data records.
What if the program didn't work?
The report says so, and shows which parts of it did and for whom. A clear negative result still tells you what to stop paying for.
Can the results be published?
Yes, if you want them to be. The method is written to the standard a peer-reviewed journal expects.
What data is needed?
Claims or encounter data for participants and a comparison population, plus program enrollment dates. A limited data set is enough. It can include dates and ZIP codes, but no names or record numbers.
How an engagement worksQuestions about prices, payment and patient data
Book a 20-minute call
Tell us which program you need to prove, and to whom. If we can help, you'll get a fixed-price proposal within 48 hours.
Prefer to skip the call? Get a written proposal
Or email tyler@kentapplied.com, or connect on LinkedIn.