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The value-based care pressure that started in 2015 is now a board-level deadline. Medicare Advantage Stars ratings affect payer revenue by hundreds of millions of dollars per Star. CMS REACH ACOs are taking on full downside risk. State Medicaid programs are tying provider reimbursement directly to HEDIS performance. None of this works without a population health platform that can actually unify the data and act on it. The four data points below show why the build-versus-buy conversation is shifting.
| Statstics | What it means |
|---|---|
| $46.7B | Projected size of the global population health management software market by 2028, growing at 13.2% CAGR. |
| 5:1 | Typical ROI for healthcare organizations that adopt PHM software, driven by reduced ED utilization, closed care gaps, and shared savings capture. |
| $500M+ | Annual revenue impact of a single Star rating change for a large Medicare Advantage plan. PHM platforms are the operating system for Stars improvement. |
| 500+ | US ACOs participating in CMS Medicare Shared Savings Program (MSSP) and REACH ACO models, each requiring a PHM data infrastructure. |
Every successful PHM platform we have built starts with one question: can we unify the patient story across every system that touches them? Our team builds the data integration layer that pulls clinical, claims, social, pharmacy, and device data into a single longitudinal patient view. Without this foundation, risk stratification, care gap analytics, and VBC reporting all break down.
We integrate with Epic, Cerner Oracle Health, Athenahealth, NextGen, eClinicalWorks, Allscripts, and MEDITECH through HL7 FHIR R4 and HL7 v2. Diagnoses, problems, medications, labs, vitals, encounter history, and clinical notes flow in continuously, mapped to standard terminologies (LOINC, SNOMED CT, RxNorm).
We ingest professional and institutional claims (X12 837), payer remittance (X12 835), and pre-adjudicated claims from payer partners. Useful for ACOs, MA plans, and IDNs running risk-based contracts where claims data closes the loop on utilization and cost.
We integrate community-level SDOH data (Z-codes, ICD-10 SDOH categories, and census tract data) alongside organization-specific SDOH screening results. The platform contextualizes patient risk against transportation, food security, housing, and employment factors.
We connect to pharmacy benefits managers, NCPDP SCRIPT data, and EHR-resident medication histories. Useful for medication adherence calculations, polypharmacy risk identification, and Stars-related medication measures.
We ingest HL7 ORU/OBR lab results, point-of-care diagnostics, and reference lab feeds. Discrete values flow into the data lake for trending, gap identification (A1C overdue), and quality measure numerators.
ADT messages drive care management alerts, transitions of care workflows, and 30-day readmission tracking. We integrate with hospital interface engines, statewide HIE feeds, and national notification networks.
Risk stratification is the analytics layer that turns unified data into action. We build the predictive models, the population segmentation logic, and the care manager workflows that surface the right patients at the right time. Most clients see meaningful behavior change within the first year of deployment.
We ensure you’re matched with the right talent resource based on your requirement.
Once data is unified and risk is stratified, the platform has to drive action. The capabilities below are what our development team ships into every PHM build to turn analytics into closed care gaps, completed outreach, and improved quality scores that move on the contract dashboard.
We build gap-in-care engines that flag overdue screenings, missing lab work, medication non-adherence, and uncompleted quality measures. Gaps surface at point of care (provider workflow), care manager outreach lists, and patient-facing portals.
We build multi-channel outreach engines covering SMS, voice, mail, email, and patient portal messaging. Campaigns route by patient preference, language, and risk tier. Common campaigns: annual wellness visit, mammogram, colorectal cancer screening, A1C testing, transition-of-care follow-up.
We build care manager workspaces with patient panels, task queues, care plan templates, documentation tools, and care team messaging. Tied directly to the risk stratification layer so care managers spend time on the patients who need them most.
We build evidence-based care plan templates (diabetes, hypertension, COPD, heart failure, behavioral health, frail elderly) with progress tracking, goal setting, and outcome capture for value-based care contract reporting.
We build patient-facing portals and mobile apps with health summary, appointment scheduling, secure messaging, care plan visibility, screening reminders, and SDOH self-screening. White-label deployment for each tenant when applicable.
ADT-driven transitions workflows trigger post-discharge outreach, medication reconciliation prompts, follow-up appointment scheduling, and 30-day readmission monitoring. Useful for hospitals in MSSP, REACH, and bundled payment contracts.
We build provider-level dashboards (panel size, quality measure performance, cost benchmarks, attribution, and gap closure rates) and executive dashboards for population health leadership (cohort outcomes, contract-level performance, and financial impact of interventions).
PHM software earns its place by directly improving quality scores and value-based contract performance. We build the reporting, measure calculation, and contract-specific logic for the programs below.
| Quality Measure Frameworks | Federal Programs | Commercial / State Programs | Risk Adjustment |
|---|---|---|---|
| HEDIS | CMS Medicare Stars | Commercial VBC contracts | CMS-HCC |
| CMS Star Ratings | MSSP | State Medicaid quality | Commercial HCC |
| MIPS | REACH ACO | Marketplace QHP | Risk adjustment factor (RAF) |
| eCQMs | Medicare Advantage | Bundled payments | Hierarchical Condition Categories |
| NQF measures | MA Special Needs Plans | Direct primary care | Year-over-year RAF capture |
| HEDIS MY | Medicaid CHIP | Value-Based Insurance Design | Suspect coding workflows |
| Adult and Pediatric measures | Federal employee health benefits | Captive payer arrangements | RAF gap identification |
| Custom client measures | VA and DoD quality programs | Self-insured employer programs | Recapture rate tracking |
PHM buyers do not share a single risk profile, quality measure set, or attribution model. What an MSSP ACO needs from a PHM platform is different from what a Medicare Advantage plan tracks on Star Ratings, and both are different from what a Medicaid MCO reports against HEDIS. Our development team ships tuned PHM builds across every value-based care segment where population outcomes translate directly to contract performance.
We build PHM platforms for ACOs in CMS Medicare Shared Savings Program (MSSP), REACH ACO, and commercial ACO arrangements. Risk stratification, attribution tracking, gap closure, and benchmark performance dashboards.
We build enterprise PHM platforms for IDNs running multiple value-based contracts across Medicare, Medicaid, and commercial lines. Multi-contract data architecture so each program sees its own attributed population.
We build PHM platforms specifically for Stars improvement, HEDIS performance, care management at scale, and member engagement. Includes Special Needs Plan (SNP) population workflows.
We build PHM platforms for state Medicaid agencies and Medicaid managed care organizations. Strong on SDOH, complex case management, and pediatric population workflows.
We build PHM platforms for self-insured employers and direct-to-employer healthcare programs. Population analytics for employer health benefit programs, on-site clinics, and direct primary care arrangements.
We build PHM platforms tuned for the FQHC population: high social risk, high chronic disease prevalence, dual-eligible Medicare and Medicaid patients, and the UDS reporting requirements FQHCs face annually.
Three recent engagements where we turned data and analytics into measurable population health and financial results.
A regional MSSP ACO with 78,000 attributed lives had been missing shared savings thresholds for three consecutive years. We built a custom PHM platform with risk stratification, gap closure workflows, transitions-of-care alerts, and HCC recapture analytics. Year-one outcome: $9.3M shared savings captured, plus quality threshold met across 19 of 22 measures.
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A regional Medicare Advantage plan covering 142,000 members was sitting at 3.5 Stars, missing roughly $44M in annual bonus payments. We built a PHM platform focused on highest-impact Stars measures with member outreach automation and provider performance dashboards. Stars rating moved to 4.5 in 24 months, unlocking full bonus payment.
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An integrated delivery network running 17 hospitals and 220 ambulatory clinics needed to reduce avoidable ED utilization across risk-bearing populations. We built an ADT-driven care management platform with high-utilizer identification, care manager workflows, and SDOH-informed outreach. Avoidable ED visits dropped 28% in 18 months.
DiscoverPicking a PHM development partner mostly comes down to two questions: can they actually unify your data, and do they understand value-based care? At Bacancy, Our team speaks HCC coding, HEDIS measure logic, CMS Stars improvement, ACO attribution, and the data integration patterns that hold a PHM platform together. We deliver in two-week sprints with demo-driven progress reviews. We are not a generalist development shop learning about healthcare on your project. For broader work, see our healthcare interoperability services and clinical decision support software development.
Population health management (PHM) software unifies clinical, claims, social, pharmacy, and device data into a longitudinal patient view, then uses that data to stratify risk, close care gaps, track quality measures, and improve value-based care contract performance. PHM software is the operating layer for ACOs, value-based health plans, IDNs running risk-bearing contracts, and any organization where revenue is tied to outcomes.
Build when your value-based contracts, payer mix, or care management workflows do not fit what packaged PHM vendors offer. Common build triggers: multi-contract architecture, specialty-specific risk models, proprietary care intervention protocols, custom quality measures, or integration depth that packaged platforms cannot match. Buy when standard ACO or MA workflows are good enough and time-to-value matters more.
A focused PHM module (gap closure engine, care manager workflow, risk stratification module) runs $200,000 to $500,000. A complete custom PHM platform for an ACO, IDN, or payer runs $800,000 to $2M depending on data integration scope and ML model depth. Bacancy scopes pricing to your environment.
A focused module takes 4 to 8 months. A complete PHM platform takes 10 to 18 months depending on data integration scope, payer claims feeds, EHR connectivity, and the depth of risk stratification work required. Bacancy delivers in two-week sprints with demo-driven progress reviews.
We integrate clinical data from EHRs, professional and institutional claims (X12 837/835), payer-supplied risk and gap files, pharmacy benefit manager data, lab feeds (HL7 ORU), SDOH and community data, ADT feeds from hospitals and HIEs, and device data from remote monitoring platforms.
Yes. The platforms we build are designed around VBC contract performance. We support CMS MSSP, REACH ACO, Medicare Advantage Stars, MIPS, HEDIS, commercial value-based contracts, state Medicaid quality programs, bundled payment arrangements, and direct-to-employer health programs. Each contract gets its own attributed population view and benchmark dashboard.
Yes. We integrate with Epic, Cerner Oracle Health, Athenahealth, NextGen, eClinicalWorks, Allscripts, and MEDITECH through HL7 FHIR R4 and HL7 v2. Custom integrations are typically a 6 to 14 week workstream. For broader interoperability work, see our healthcare interoperability services.
Yes. Risk stratification models train on your specific population data. Most clients see model accuracy improve over the first 6 to 12 months as the system learns your population’s actual risk drivers. We deliver model documentation, fairness testing, and ongoing model performance monitoring with each build.