Best care management software for IPAs and ACOs in 2026.

How to choose care management software

The best care management software for a risk-bearing IPA or ACO is the one that turns hospital and emergency-department events into action while the follow-up window is still open. Two questions separate the field. First, does the tool ingest real-time ADT feeds (admission, discharge, and transfer events) and turn them into transitions-of-care worklists? Second, does it close the loop by running the outreach, or does it stop at documenting a care plan for your staff to work?

That distinction matters because the clock is short. CMS transitional care management (TCM) requires an interactive contact with the member or caregiver within two business days of discharge, and a face-to-face visit within 7 or 14 days depending on complexity. The NCQA HEDIS Transitions of Care (TRC) measure rewards four documented steps within 30 days of discharge: notification of admission, receipt of discharge information, medication reconciliation, and patient engagement. Software that finds out about a hospitalization weeks later from a claim cannot hit those windows. For the mechanics of turning feeds into action, see our deep dive on transitions of care and ADT automation.

1. Real-time ADT, not retrospective claims

Ask where the admission and discharge signal comes from and how fresh it is. A tool wired to live ADT feeds through an HIE or notification network sees the event the day it happens and can start the two-day TCM contact clock. A tool that infers the hospitalization from a claim is structurally weeks late. Real-time ADT is the difference between a transitions-of-care program that hits the window and one that documents misses after the fact.

2. Documents the plan, or runs the outreach

This is the dividing line. Most care management platforms document: they hold assessments, care plans, and tasks, and they surface a worklist for nurses and coordinators. Closing the loop is a different job. It means reaching the member, completing the medication reconciliation, booking the follow-up visit, and capturing the result. A useful test: ask what happens after the system flags a discharge. If the answer ends at a task on a coordinator's queue, that is documentation. If the platform places the call and updates the record, that is closing the loop.

3. One outreach queue across teams

In a risk-bearing organization the same member often sits on a transitions-of-care list, a quality gap list, and a pharmacy adherence list at the same time. When each team runs its own queue, the member gets called three times and the coordinators duplicate work. A single canonical record per member, with one shared outreach queue, lets one contact handle the discharge follow-up, the open care gap, and the medication question together. The trade-off is depth in a single program versus coordination across all of them.

4. Audit posture and compliance

For risk-bearing and payer-grade work you still need a defensible audit trail on every automated action, a signed Business Associate Agreement, and tenant-isolated data handling. Confirm full audit logging on any outreach the software places on your behalf, especially when a voice agent or computer-use agent acts inside an EHR or payer portal.

Vendor comparison

The table groups representative vendors by what they are built to do. Categories are descriptive, not pejorative: a population-health analytics platform, a payer case-management system, and an execution layer solve different problems, and many risk-bearing organizations run more than one.

Innovaccer

Innovaccer is strong at population-health data unification. Its platform normalizes claims, clinical, medication, and real-time ADT data into one place, then layers care management and AI agents on top, with published work on transitional care management protocols and readmission reduction. For a larger system or risk-bearing organization that wants a single data platform underneath its care management, Innovaccer is a serious enterprise choice. Its center of gravity is the unified data layer and the analytics on it; much of the member-level outreach still runs through your own staff.

Arcadia

Arcadia is a data-platform and analytics company built on a healthcare data lakehouse that curates EHR, claims, pharmacy, and ADT data into a longitudinal record, with real-time ADT event tracking through a notification-network partnership and end-to-end care management tools. That foundation is useful for transitions of care because timely ADT is exactly what the work depends on. Arcadia fits when the priority is a clean, queryable data foundation and analytics across a large population. Its design point is insight and workflow tooling rather than running the outreach itself.

ZeOmega (Jiva)

ZeOmega's Jiva platform is a payer-grade care, case, and utilization management system, recognized in KLAS for payer care management. It pairs configurable workflows with clinical content and care pathways, automates care transitions, and coordinates stakeholders around next-best-actions, including support for dual-eligible Special Needs Plans. For a health plan or delegated entity that needs deep, configurable case management with strong clinical content, Jiva is a strong fit. Its strength is structuring and coordinating the clinical work; the calls and visits are completed by your clinicians.

Casenet / Cognizant TriZetto (CareAdvance)

The TriZetto Clinical CareAdvance solution, now part of Cognizant, automates case, disease, and utilization management tasks that traditionally required manual nursing labor, and pre-integrates with TriZetto core systems for real-time data exchange. It automates member identification, care planning, task management, and monitoring at health-plan scale, with a CareAdvance Essentials tier for plans under 250,000 members. For a health plan that wants case management tightly coupled to its core administration system, it is a proven enterprise option. Like other case-management systems, it organizes and tracks the work rather than placing the outreach.

Pearl Health

Pearl Health is built for ACO and provider enablement in Medicare risk models. Its AI prioritizes the highest-urgency patients and surfaces a focused set of high-impact opportunities, with a design that minimizes clicks and guides users to the next step, supporting both MSSP and ACO REACH populations. For a primary-care ACO that wants help focusing limited clinician time, Pearl is a good fit. It is provider-facing enablement: it points teams at the right patients, and the provider teams act.

Health Catalyst

Health Catalyst pairs a large healthcare data platform with population-health analytics, predictive risk stratification, and a care management suite. For a system that wants analytics-first population health with care management modules and strong data integration, it is well established. As with other analytics platforms, its design point is computing risk and surfacing the intervention; reaching the member sits with the organization's own teams.

Where an AI execution layer fits

The vendors above are strong at what they were built for, and most risk-bearing organizations need a solid data foundation and structured case management. The gap they feel is rarely a missing dashboard. With transitions of care, knowing about the discharge and completing the follow-up are two different jobs, and the second is where coordinator time disappears, especially when the same member is also open on a quality list and a pharmacy list.

Pelica is the execution layer. One canonical record per member, built from claims, EHR, pharmacy, lab, ADT, and payer feeds, sits under a Care Management copilot. Real-time ADT events become a transitions-of-care worklist automatically. The action layer then drafts and places the follow-up: outbound voice agents call the member, complete the medication reconciliation prompts, and book the visit, escalating to a live coordinator only when a human is truly needed. The copilot tracks the 5-day window so nothing ages out, and it keeps one outreach queue across risk, quality, pharmacy, and care management, so no member is called three times. The point is not to document the plan. It is to run it.

At our flagship customer, a physician-led IPA in New York running risk on roughly 175,000 patients, the Care Management copilot closed 70%+ of transitions-of-care gaps within 30 days and completed 7-day follow-up after 75% of emergency-department visits, while the platform reached 100% team adoption. Those numbers come from running the outreach on a real ADT feed, not from a tidier dashboard.

In transitions of care, the care plan is not the deliverable. The completed follow-up, inside the window, is.

None of this makes population-health platforms or case-management systems wrong. If you have no clean data foundation or no structured case-management workflow, you may need one first. But if your team already knows which members were just discharged and the follow-up is not getting done inside the window at volume, an execution layer is the purchase that moves the readmission and TRC numbers, and it deploys in weeks. For the broader market, see our head-to-head on the best value-based care software, our value-based care software buyer's guide, our take on member outreach automation, and the Pelica Care Management overview.

Sources

• CMS Medicare Learning Network: Transitional Care Management Services (MLN908628)
• NCQA: Transitions of Care (TRC) HEDIS measure