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HALEMedical and Data Sciences

Government health · Applied research · Existing data

The nation’s health, advanced through research.

Hale Medical and Data Sciences is a physician-led research firm — applied research on existing health data for the government agencies that safeguard American health.

Hale MDS · Population health

SYNDROMIC · WK 36

Surge probability

78%

12wk · P(≥28/100k) · peak wk 43

Projected peak

31.4

per 100k · wk 43 · CI 26–37

Lead time

6 wk

median crossing · wk 42

Respiratory admissions per 100k — 12-week surge outlook

102030MAYJULSEPOCTNOVFORECASTSURGE THRESHOLD · 28crossing · wk 42P(SURGE) BY WEEKWeek 37 — 1% chance admissions exceed 28 per 100k (baseline)1Week 38 — 3% chance admissions exceed 28 per 100k (baseline)3Week 39 — 8% chance admissions exceed 28 per 100k (baseline)8Week 40 — 19% chance admissions exceed 28 per 100k (baseline)19Week 41 — 38% chance admissions exceed 28 per 100k (baseline)38Week 42 — 61% chance admissions exceed 28 per 100k (baseline)61Week 43 — 78% chance admissions exceed 28 per 100k (baseline)78Week 44 — 74% chance admissions exceed 28 per 100k (baseline)74Week 45 — 63% chance admissions exceed 28 per 100k (baseline)63Week 46 — 49% chance admissions exceed 28 per 100k (baseline)49Week 47 — 35% chance admissions exceed 28 per 100k (baseline)35Week 48 — 24% chance admissions exceed 28 per 100k (baseline)24%
ObservedMedian forecast80% band95% bandSurge thresholdP(surge) 0–100%
Population health console

The consoles on this page are illustrative product concepts, not screenshots of delivered systems.

Supporting missions across

VAHHSCMSCDCDHANIHState & Local

What we do

Three capabilities. One question: what does the data support?

Each maps to a NAICS code on the firm's SAM registration. The research is designed by the physician who has to answer for it; the analysis is reproducible end to end.

NAICS 541715 · 541714 · 541690 · PSC AN11 · AN12 · B544 · R425

Domain depth

Healthcare is where we go deepest.

Hale MDS works in the grain of health data — its standards, its privacy law, and its clinical stakes. Research methods and the engineering that delivers them travel together to any mission built on sensitive data.

Claims & Payment Integrity

Fraud, waste, and abuse detection across billions of claim lines; risk adjustment; prior-auth decision support.

Population Health & Surveillance

Syndromic surveillance, outbreak detection, and jurisdiction dashboards that hold up during a crisis.

Clinical Operations

Risk stratification, capacity forecasting, clinical NLP, and decision support inside the EHR workflow.

Research Data Platforms

OMOP research enclaves, registry systems, de-identification, and reproducible analysis environments.

How we work

Compliance is part of the study design, not a stage after it.

  • HIPAA

    Privacy by design

    De-identification, minimum-necessary access, and audit trails built into every data flow.

  • NIST SP 800-171

    Controls as code

    Security controls implemented as code with evidence collected automatically, so accreditation is not a retrofit.

  • Section 508

    Accessible by default

    WCAG 2.2 AA conformance designed in and tested with assistive technology.

Why Hale Medical and Data Sciences

Built different, on purpose.

Small-business speed, research rigor

Physician-led, with no layer between the question and the person answering it, and the statistical discipline you'd expect from a research institution.

Compliance is designed in

HIPAA privacy by design, NIST SP 800-171 controls as code, and Section 508 accessibility from the first design, so accreditation is never a retrofit.

Built at the intersection

Clinical judgment and data science in one pair of hands, so a model reflects medical reality — not just the training data.

Bring us a hard question.

Whether you’re shaping a requirement or evaluating whether a model holds up, we start with the design — what would count as an answer, and what the data can actually support.

Start the conversation