Written by Cass Rosas,
Quality managers carry an odd burden. They’re expected to prove improvement to regulators and payers, yet the data behind that proof usually sits in a dozen disconnected systems. Charts still get abstracted by hand, and a single patient encounter can count toward several programs at once.
The workload is larger than most people outside the quality department assume. When researchers at Johns Hopkins catalogued one hospital’s reporting obligations, they identified 162 unique quality metrics and estimated that preparing and reporting the data took 108,478 person-hours in a single year. Personnel costs came to more than $5 million, plus roughly $600,000 in vendor fees (Saraswathula et al., 2023).
Quality analytics platforms are meant to cut that workload and give teams time back for improvement work. Each of the six below solves a different problem, so read this list as a matching guide. The right choice depends on where your organization’s biggest gap sits: regulatory reporting, provider performance, patient experience, population health, or safety.
What Healthcare Quality Analytics Platforms Actually Do
A quality analytics platform pulls clinical, claims, survey, and event data into one place and calculates performance against defined measures. The platform ships with the measure specifications, including numerator and denominator logic, and updates them when CMS or NCQA revises a measure. With a general BI tool such as Tableau, someone on staff has to build and maintain that logic by hand. Many also submit results directly to CMS.
Quality management software in the narrower sense does a different job. Incident reporting and corrective and preventive action (CAPA) tools document what happened and how the organization responded. Analytics tools measure performance over time. Most quality departments need both, and a few vendors sell both.
These platforms touch nearly every recurring obligation a quality manager has. That list includes electronic clinical quality measures (eCQMs) for the Hospital Inpatient Quality Reporting (IQR) Program, MIPS for clinicians, HEDIS and Medicare Star Ratings for health plans and their provider partners, and HCAHPS for patient experience. Patient safety indicators feed directly into accreditation readiness for The Joint Commission.
How We Chose These 6 Platforms
We judged each platform on five criteria:
- Data sources supported, including EHR, claims, patient surveys, and incident reports
- Measure libraries, meaning prebuilt and maintained measure logic for CMS and NCQA programs
- Regulatory submission support where it applies
- Benchmarking against national or peer data
- Usability for quality staff who aren’t trained data analysts
We also picked each one to cover a distinct use case. A hospital working through eCQM submission and a self-insured employer trying to steer members toward stronger physicians both need quality analytics. They need very different tools to get it.
6 Healthcare Quality Analytics Platforms to Know in 2026
1. Garner Health: Provider Quality and Outcomes Data
Garner Health measures performance for individual physicians.
Garner reports that it has compiled more than 60 billion medical records from 320 million patients and uses them to identify which doctors diagnose more accurately and achieve better patient outcomes (Garner Health, n.d.). The data is claims-based, so it shows what happened to patients in the months after a visit as well as whether a process step was documented.
That matters most in referral and network decisions. Two orthopedic surgeons in the same network can have very different complication and revision rates, and a standard facility dashboard won’t separate them. Outcome-based provider data gives quality and care management teams an objective basis for steering patients and for value-based care discussions with employers and health plans.
Garner’s primary customers are self-funded employers and the brokers who advise them, with employees as the end users. Hospital quality departments are more likely to run into it through payer and employer partnerships than as an internal reporting system, though Garner does license its provider data directly to health systems and carriers
2. Medisolv: eCQM and CMS Quality Reporting
Medisolv sticks to the regulatory side of quality. Its software calculates and validates eCQMs from EHR data and supports submissions for Hospital IQR and MIPS, among other CMS programs.
The practical appeal is early warning. Quality teams can watch measure performance through the year and fix documentation gaps months before a submission deadline. Medisolv fits hospitals and physician groups whose main pain point is CMS reporting. Organizations looking for a broad enterprise data platform will probably find it too narrow.
3. Health Catalyst: Enterprise Clinical Quality Improvement
Health Catalyst covers far more ground. It pairs a healthcare data platform with analytics applications and improvement services for health systems running many improvement projects at once.
Its strength is breadth. A health system can bring clinical and financial data together and track a sepsis bundle project alongside a readmissions effort in the same environment. That breadth comes with a real implementation commitment, including data engineering staff and executive sponsorship. Smaller hospitals often can’t justify it.
4. Press Ganey: Patient Experience and Safety Analytics
Patient experience has direct financial consequences, since HCAHPS results feed into CMS Hospital Value-Based Purchasing. Press Ganey is best known for patient experience surveys and for benchmarking results against a large national comparison database.
It’s most useful when quality managers read experience data next to clinical and safety data. A unit with falling nurse communication scores and rising medication events probably has one underlying problem. Press Ganey also measures workforce engagement and safety culture, which helps when staffing sits underneath a quality issue.
5. Arcadia: Population Health and HEDIS Gap Closure
Arcadia serves organizations accountable for a defined population, such as ACOs and physician groups in value-based contracts. Its platform combines claims and clinical data to surface care gaps (overdue screenings, uncontrolled chronic conditions) and to track HEDIS and Star Ratings performance.
The difference from Medisolv is the unit of measurement. Medisolv tells a hospital whether it met its measures. Arcadia tells a care team which patients in its panel still need something done. For quality staff in ambulatory or payer settings, that patient-level work list is often the most useful output.
6. RLDatix: Patient Safety and Incident Analytics
Safety data needs its own tool. Reviewing a random sample of 2,809 admissions across 11 Massachusetts hospitals, Bates et al. (2023) found at least one adverse event in 23.6% of admissions and judged 22.7% of those events preventable.
RLDatix, which includes the long-established Datix incident reporting system, captures safety events and near misses and trends them by unit and severity. Those trends support root cause analysis and give surveyors the documentation they expect. RLDatix works best alongside the other tools on this list, because incident data catches harm that outcome and process measures can miss.
How to Match a Platform to Your Quality Program
The table below summarizes where each platform fits.
| Platform | Primary quality use case | Best-fit setting | Main data source |
|---|---|---|---|
| Garner Health | Provider-level outcomes and referral quality | Employers, health plans, care management | Claims |
| Medisolv | eCQM and CMS program reporting | Hospitals, physician groups | EHR |
| Health Catalyst | Enterprise improvement across service lines | Large health systems | EHR, financial, operational |
| Press Ganey | Patient experience and safety culture | Hospitals, health systems | Patient and staff surveys |
| Arcadia | Care gaps, HEDIS, value-based contracts | ACOs, payers, ambulatory groups | Claims and EHR |
| RLDatix | Incident reporting and safety trending | Hospitals, long-term care | Incident and event reports |
Start with the problem that eats the most staff time or carries the most financial risk. Before booking demos, check whether the tool connects cleanly with your EHR and whether its measure library covers the programs you actually report to. Then be honest about whether your team can maintain it after go-live.
Questions to Ask During a Vendor Demo
- How do you validate measure logic each year when CMS or NCQA updates specifications?
- How often does data refresh, and how long is the lag between a patient encounter and its appearance in a dashboard?
- Where do benchmarks come from, and how large is the comparison group?
- Can quality staff build or adjust reports without submitting a request to IT?
- What analyst or clinical support does the contract include, and what costs extra?
- Can we speak with a current customer of similar size and setting?
Building Data Skills on Your Quality Team
Software doesn’t interpret itself. Every platform on this list depends on staff who can read a measure specification and catch an exclusion applied incorrectly. They also need to tell a real performance change from a documentation artifact. Teams without those skills tend to produce attractive dashboards that nobody trusts.
So the investment has to cover people as well as technology. Quality professionals who understand measurement science and the regulatory programs behind the numbers get far more out of any platform they adopt. AIHCP’s Health Care Quality Management Certification is one route for nurses and allied health professionals who want formal training in those competencies.
Frequently Asked Questions
What Is a Healthcare Quality Analytics Platform?
A healthcare quality analytics platform is software that collects clinical, claims, survey, or event data and calculates performance on defined quality measures. Most include prebuilt measure logic and benchmarking against peer or national data, with dashboards that show where performance falls short. Some also submit results to CMS or other reporting bodies. The point is to move staff time from gathering data to improving care.
Is Quality Analytics the Same as Quality Management Software?
No. Quality analytics measures performance on outcome and process measures over time. Quality management software documents events and the organization’s response to them, through tools such as incident reporting and CAPA tracking. Many quality departments use both, and some vendors, including RLDatix, sell products in each category.
What Data Sources Do Quality Analytics Platforms Use?
Quality analytics platforms typically draw on EHR data, administrative claims, patient experience surveys, and incident reports. The source determines what the tool can measure. EHR data supports eCQMs and process measures, while claims data supports outcomes and utilization across care settings. Surveys add the patient’s perspective. Platforms that combine several sources give the fullest picture but take more integration work.
Do Small Practices Need a Dedicated Quality Analytics Tool?
Not always. Small practices with limited reporting obligations can often meet MIPS requirements through their EHR’s built-in reporting or a qualified registry. A dedicated platform starts to make sense once a practice joins value-based contracts or needs patient-level care gap lists to manage a defined population. Reporting volume and financial risk should drive the decision.
Author bio:
Cass Rosas is a content writer who covers healthcare technology, data, and analytics. She researches how health systems, payers, and employers use software to measure and improve care quality, and writes guides that help healthcare professionals compare tools.
Please also review AIHCP’s Health Care Quality Management Certification program and our CE courses as well, to see if they meet your academic and professional goals. These programs are online and independent study and open to qualified professionals seeking a four year certification