Population health & analytics · FQHC analytics
Relevant Healthcare
Relevant Healthcare provides analytics and population health tools for community health centers, including EHR data connections, dashboards, quality reporting, and hands-on analytics support.
Strong fit
- Community health centers that want easy-to-use EHR analytics, quality reporting, and care gap tools with hands-on support
- Community health center teams that will track UDS and quality numbers once dashboards are live
- Buyers comparing analytics firms built for safety-net clinics
Weak fit
- Multi-state health systems that need large value-based contracting suites
- Buyers who need to manage hospital capacity
- Groups that refuse any data warehouse or EHR export work
Bottom line
Relevant Healthcare is worth considering for community health centers that want approachable analytics and quality tools with hands-on consulting support. It works best at centers whose analysts will use the dashboards to close care gaps. Centers that want a broader suite may prefer Azara, and ACOs should look at Lightbeam or Persivia.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Relevant Healthcare builds data and population health analytics tools for community health centers, the same safety-net market Azara serves. It connects to a center's EHR and other data sources, provides dashboards and quality reporting, including UDS reports, and sells hands-on analytics support together with the software. Results depend on whether health center analysts use the dashboards to close care gaps.
Relevant is a smaller vendor than many of its peers, with less published proof of results and less clear pricing, which holds its score down. Among the population health tools we review, it scores 6.8 overall, level with Lightbeam Health Solutions and behind Azara Healthcare (7.6). Azara suits community health centers that want a broader Best in KLAS suite, and Lightbeam or Persivia suit ACOs and systems taking on risk.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Azara Healthcare | 7.6 | 7.2 |
| Cozeva | 7.5 | 7.2 |
| Persivia | 7.4 | 7.1 |
| Syra Health | 7.4 | 7.1 |
| Certilytics | 7.3 | 7.0 |
| Trella Health | 7.3 | 7.0 |
| IMAT Solutions | 7.0 | 6.7 |
| Elligint Health | 6.9 | 6.6 |
| Olio | 6.9 | 6.7 |
| Lightbeam Health Solutions | 6.8 | 6.5 |
| Relevant Healthcare | 6.8 | 6.6 |
| Hexplora | 6.7 | 6.5 |
Pricing
| Item | Detail |
|---|---|
| Model | Custom analytics software plus hands-on support for community health centers. |
| What usually drives cost | Health center size, data sources, report packages, and consulting hours. |
| What to ask before you buy | Yearly cost for your number of sites, included support hours, and which UDS and quality reports are covered. |
| Published pricing | Quoted for each health center. Prices are not listed on the website. |
Relevant Healthcare is smaller than most companies we review, and Azara is its closest peer in community health center analytics.
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Relevant Healthcare to function | |
| A named population health or quality owner who can direct care gap work | A dashboard needs an owner who acts on it. |
| A clear definition of which patients count, agreed with finance | Without an agreed patient count, savings cannot be measured reliably. |
| A list of EHR, claims, and admission and discharge alert feeds | Each missing feed leaves a gap in what the dashboards can show. |
| Care managers or partners with time to follow up on lists | A list improves care only when someone contacts the patients on it. |
| Contract measures chosen before kickoff | Changing the target midway wastes the setup work. |
| What will maximize your value | |
| Track closed gaps, readmissions, or use of services every week for 90 days | Those measures show whether care improved, which login counts cannot. |
| Start with one patient group or partner network | One group makes problems easier to find and fix before a wider rollout. |
| Drop duplicate spreadsheet lists after a month of running both | Keeping both running means entering everything twice. |
| Review high-risk or transferring patients nobody has reached in a regular huddle | Patients no one has reached are easy to miss without a standing review. |
| Send a quarterly results summary to clinical leaders | A regular summary keeps leaders aware of backlogs before they grow. |
| Deal-breakers | |
| You have no value-based, quality, or post-acute program to act on. | |
| Nobody will own follow-up work. | |
| You refuse any EHR or claims data sharing. | |
| You expect a population health tool to replace your EHR. | |
| Leaders will not measure results. | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Plan and data | 4-8 weeks to define patients, data feeds, and success measures. |
| 2 | Connect | 2-4 months to connect claims, EHR, and admission alerts, then check the data. |
| 3 | Pilot | 1-2 months with one contract, site, or group of partners. |
| 4 | Expand | Ongoing: more patients and fine-tuning of care work. |
Leadership
Methodology
| Weight | Factor | What it measures |
|---|---|---|
| 35% | Customer outcomes | Whether buyers get measurable operational or clinical-workflow results after go-live |
| 30% | Product | Capability depth, reliability, and fit for the job the category buys |
| 20% | Implementation | How hard it is to stand up, integrate, train, and stabilize |
| 15% | Pricing clarity | Whether a buyer can model total cost without a mystery quote |
| Label | Meaning |
|---|---|
| Highly recommend | Strong outcomes and product with manageable caveats |
| Recommend | Solid fit for the right buyer; know the tradeoffs |
| Conditional | Only with a specific use case or heavy caveats |
| Not recommended | Avoid for most buyers in this category |
Read our full methodology for how we weight scores and assign recommend labels.