Population health & analytics · Mid-market VBC dashboards
Hexplora
Hexplora sells mid-market population health dashboards, care-gap views, and quality reporting for plans, ACOs, and providers. It is dashboard and care-gap software, not OR capacity math.
Strong fit
- Health plans, ACOs, and IPAs that need population health dashboards, lists of missed care, and quality reporting without a large data platform project
- Teams that want ready-made measures and prediction tools on a smaller budget
- Buyers who track how much missed care gets closed after the dashboards go live
Weak fit
- Health systems that only want to make better use of operating rooms
- Large health plans that need a full prediction platform like Certilytics
- Organizations that will not connect claims and clinical data
Bottom line
Hexplora is worth considering for smaller health plans and accountable care organizations that want practical population health dashboards without a large analytics program. It suits teams whose care staff will act on the lists. Community health centers or plans focused on quality and risk adjustment may prefer Azara or Cozeva.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Hexplora is a healthcare analytics company in Connecticut led by CEO and co-founder Srinivas Pendyala. The company is early in its growth.
It sells population health dashboards, lists of missed care, quality reporting, and related prediction tools to health plans, accountable care organizations, and providers. It is dashboard software, not operating room scheduling software.
Results still require care teams to act on the lists it produces.
It does less than Azara or Cozeva when buyers need depth for safety-net clinics or full quality and risk tools for health plans.
Among population health tools we review, Hexplora scores lowest. It is a dashboard option for smaller value-based care programs.
Azara suits community health centers that need deep federal reporting. Cozeva suits plans focused on quality and risk adjustment, and Relevant Healthcare suits smaller safety-net analytics.
Hexplora is an early option with less proof than the leaders.
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 | A cloud subscription for population health and analytics, quoted by organization size. |
| What usually drives cost | The number of members or patients covered, which dashboards you buy, and how much data needs connecting. |
| What to ask before you buy | The yearly fee for your membership size, and which missed-care and quality modules are included. |
| Published pricing | Hexplora does not publish prices. Expect a custom quote. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Hexplora to function | |
| A named owner for quality or care management | Dashboards with no owner go unused. |
| A clear plan for claims and clinical data | Without data, it cannot find missed care. |
| Starting quality numbers | You cannot show improvement without a starting point. |
| A finished privacy and business associate agreement review | Analytics projects stall in security review. |
| Staff ready to contact patients | Lists with no follow-up waste the money. |
| What will maximize your value | |
| Test with one ACO or IPA first | Starting everywhere at once multiplies the noise. |
| Measure how much missed care is closed at 90 days | This shows what the dashboards are worth. |
| Retire spreadsheet reports that do the same job | Duplicate lists confuse staff. |
| Deal-breakers | |
| You only need operating room scheduling | |
| You cannot share data | |
| No one can own quality | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Security and data mapping | 3-6 weeks |
| 2 | Test dashboards | 4-8 weeks |
| 3 | Expand reporting | 2-4 weeks |
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.