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Engineering Accountable AI for Opioid Prescribing Support

Key Outcome
Real engagement
Company history confirmed by The Algorithm leadership
Team
Multidisciplinary engineering team
Timeline
phased delivery
Industry
Healthcare
01Engagement Context

A pain management practice network operating across multiple states in an opioid crisis corridor. Their physicians were caught between two pressures: patients in legitimate pain who needed treatment, and a regulatory environment that increasingly scrutinized every opioid prescription. The practice wanted a system that would support clinical decision-making — not replace it, but inform it with data that neither the patient history nor the physician's intuition alone could provide.

02Inherited Constraints

Two of their physicians had received DEA scrutiny letters for prescribing patterns that, while clinically justified, appeared statistically anomalous. The practice needed a system that could demonstrate — to regulators, to insurers, and to themselves — that every prescribing decision was informed by a comprehensive, standardized assessment. Nothing on the market did what they needed.

03Publication Boundary

The Algorithm leadership confirms this engagement as part of the company’s delivery history. Public wording is limited to the technical narrative while client-sensitive and precision claims complete leadership review.

04Architecture and Engineering

An intelligent patient-facing questionnaire system that begins the assessment before the patient enters the exam room. The questionnaire adapts based on responses — branching logic that deepens inquiry in areas of concern. Responses are scored algorithmically against validated pain assessment instruments, substance use risk factors, prescription history, and behavioral indicators. The output is a clinical decision support recommendation — not a prescribe/don't prescribe binary, but a nuanced risk profile with the clinical reasoning behind each factor.

05 — Evidence and Outcomes

The engagement produced a working change to the client’s system or operating workflow. Exact measurements, delivery duration, audit outcomes, and client sentiment are withheld until the corresponding leadership-confirmation items are resolved.

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