CO
Cordato
Predictive Health Intelligence

Texas Medicaid • Predictive Care

A predictive replacement for Remote Patient Monitoring.

Cordato detects early physiologic risk so Texas can intervene before emergency events and costly admissions—reducing avoidable hospitalizations while protecting Medicaid budgets.

Cordato is a statewide, device-agnostic predictive health intelligence layer that identifies early physiologic deterioration 48–72 hours before high-cost events.

Built with Texas data patterns, Texas workflows, and Texas health priorities in mind.

Request a 10-minute briefing

Low-friction discussion • No commercial pitch • Texas focus

Why this matters for Texas

Prevention-first

Estimated annual RPM spend

$100M+

Paid for reactive monitoring with limited impact on preventable admissions.

Strategic objective

Fewer avoidable stays

Early detection for high-risk Medicaid members before ER and inpatient utilization.

Cordato uses the devices Texans already wear and operates as a wellness-classification technology—no new hardware program, no benefit redesign, and no CMS waiver, billing code change, or federal approval is required to begin.

Texas is paying for data, not prevention.

Texas Medicaid spends heavily on Remote Patient Monitoring, yet avoidable hospitalizations and ER visits remain high. Traditional RPM alerts care teams only after deterioration has begun. The result: rising spend without a proportional reduction in preventable crises.

If predictive signals prevented even 10–15% of avoidable ER visits among high-risk Medicaid members, Texas could generate on the order of $70–$120M in annual savings—while improving outcomes and member experience.

Current trajectory

RPM spend

Avoidable events

5-year trend (conceptual)

RPM spend Avoidable events

Spending keeps rising while preventable events do not fall—and in many high-risk groups, they trend upward. Texas is paying for RPM data without achieving true prevention.

System reality

R

Reactive by design

RPM alerts confirm deterioration that has already started; they do not anticipate risk.

⏱

Signals arrive late

Clinicians are notified after clinical decline, leaving little time to prevent an ER visit or admission.

ER

High-risk members still hit the ER

Despite monitoring, complex chronic members continue to reach the ED and inpatient floors at high rates.

$

State bears the cost

Texas pays for RPM codes without a corresponding reduction in preventable utilization or total cost of care.

From reactive RPM to predictive signal intelligence.

Cordato replaces intermittent, device-driven alerts with continuous analysis of physiologic trends. Using wearable signals and daily baselines, we detect subtle changes associated with infection, cardiac stress, respiratory compromise, and chronic-disease destabilization—often 48–72 hours before symptoms trigger an ER visit.

This directly supports Texas Medicaid’s value-based care and cost-containment goals: fewer preventable events, more stable chronic conditions, and lower total cost of care without adding administrative burden.

  • • Detects risk early instead of confirming decline.
  • • Enables proactive outreach and telehealth.
  • • Cuts avoidable hospitalizations and ED utilization.
  • • Lowers total cost of care across high-risk panels.
  • • Uses devices members already have and use.

How Cordato works

1

Establish a baseline

Continuous wearable signals and daily physiology create a personal reference curve for each member.

2

Detect trend breaks

Signal models identify deviations consistent with early clinical deterioration—not just threshold breaches.

3

Alert care teams early

Actionable notifications are sent to care-management or clinical teams while there is still time to intervene.

4

Intervene before a crisis

Telehealth, medication adjustments, and coordinated outreach prevent avoidable ER visits and admissions.

Measurable value for Medicaid and the state.

Cordato is designed for high-risk Medicaid populations, including complex chronic members, rural communities, and dual-eligibles. Our goal is simple: fewer avoidable events and a more sustainable cost curve—without creating new administrative complexity.

At scale, preventing even a fraction of avoidable ER visits and hospitalizations can return tens of millions in savings per year to Texas Medicaid, while improving quality and member experience.

Clinical impact

  • • Fewer avoidable hospitalizations
  • • Reduced ER utilization
  • • Better chronic-condition stability
  • • Earlier escalation to appropriate care

Member & access impact

  • • Support for rural and underserved regions
  • • Continuous monitoring between visits
  • • Lower burden on caregivers and families
  • • Clearer path to prevention-focused care

State-level benefits

  • • Replace ineffective RPM billing
  • • Deploy statewide with minimal friction
  • • Tens of millions in potential annual savings
  • • Improved visibility into preventable risk

Simple to deploy. Low risk. Built for public programs.

Cordato operates as a wellness-classification technology. There is no special hardware to procure, no replacement of existing EHR infrastructure, and no requirement to disrupt current care-management workflows.

  • • Works with existing consumer wearables.
  • • For members without devices, low-cost alternatives (<$30) can be provided without starting a new hardware program.
  • • HIPAA-aligned architecture.
  • • No benefit redesign, CMS waiver, billing code change, or federal approval required.
  • • No EHR integration required to begin.
  • • Can be piloted within 30 days.

Cordato can be deployed through HHSC directly, through MCOs, or as a hybrid model—depending on how Texas prefers to structure governance and incentives.

Cordato integrates into existing care-management models without requiring new portals, new staffing, or additional administrative processes. Our goal is to reduce burden—not shift it.

Suggested pilot structure

  1. 1. Select a high-risk Medicaid subset (e.g., CHF, COPD, diabetes, dual-eligibles).
  2. 2. Enroll members using existing wearables or low-cost devices.
  3. 3. Run Cordato monitoring in parallel with current workflows.
  4. 4. Track outcomes vs. matched controls.
  5. 5. Use results to inform a statewide RPM replacement strategy.

What a pilot measures

  • • All-cause ER visits per 1,000 members.
  • • Avoidable hospitalizations and readmissions.
  • • Exacerbations for CHF, COPD, and diabetes.
  • • Total cost of care PMPM for enrolled members.
  • • Time from signal deviation to intervention.
  • • Care-management workload and efficiency.
  • • Member satisfaction and perceived peace of mind.

Governance, data, and transparency.

We recognize that Medicaid programs operate in a high-scrutiny environment. Cordato is designed to support, not complicate, state oversight and accountability.

  • • Program-level dashboards for HHSC and participating MCOs.
  • • Transparent reporting on performance and utilization impact.
  • • Clear documentation of how signals translate to interventions.

Cordato follows a data-minimization model: only data required to identify physiologic trend changes is collected. No unnecessary PHI, demographic attributes, or location tracking is required for operation. Member data is encrypted in transit and at rest.

Texas retains ownership of all member-level insights generated during the program, and data is portable should the state choose to extend, modify, or conclude the relationship.

Cordato maintains readiness for state procurement, evaluation, and structured pilot review. We support security assessments, documentation requests, and program audits aligned with HHSC and CMS expectations. Our goal is to minimize administrative burden while maximizing transparency and measurable value.

Program dashboard (conceptual)

Texas receives a secure dashboard with visibility into early-risk signals, intervention timing, preventable events avoided, and trend reductions across enrolled high-risk cohorts.

How we work with Medicaid programs

  1. Phase 1 – Model review: Align on goals, target populations, and metrics.
  2. Phase 2 – Pilot scoping: Define scale, regions, and participating MCOs.
  3. Phase 3 – 6–12 month pilot: Run Cordato in parallel with existing care-management workflows.
  4. Phase 4 – Evaluation: Compare results against pre-defined benchmarks and controls.
  5. Phase 5 – Scale-up (optional): Expand across lines of business and regions if results meet state targets.

Our role is to provide predictive intelligence and operational support; Texas defines the policy, priorities, and pace of scale.

Predictive analytics with Texas roots.

Cordato is led by technologists and analysts with deep experience in predictive modeling, enterprise systems, and public-sector transformation. Our focus here is singular: help Texas Medicaid deliver earlier, smarter, more affordable care.

Our methodology draws on experience developing high-stakes predictive systems—including early Moneyball-style analytics created for the Houston Texans during their inaugural season. The principle was simple then and remains simple now: prediction wins; reaction loses. Cordato brings that principle to Texas healthcare—so the state can see risk shifts before they become costly crises.

Why this matters for public programs

Texas has an opportunity to lead the nation in using predictive signal intelligence to reduce avoidable Medicaid utilization— without adding bureaucracy or complexity.

Cordato is not a direct-to-consumer app in this context; it is a focused, outcomes-driven partner for public payers.

Request a 10-minute model review.

We welcome the opportunity to walk through the model with your team and confirm whether a predictive replacement for RPM aligns with Texas Medicaid priorities for cost reduction, quality, access, and value-based care.

Email texas@cordato.com Download Texas pilot one-pager (PDF)

We will respond with a concise, non-commercial overview and scheduling options.

Cordato follows WCAG 2.1 AA accessibility principles to support equitable access across Texas Medicaid populations and state reviewers.