OnDemandPsych

A HIPAA-compliant, AI-driven web platform that unifies clinical guidelines, medication intelligence, and structured documentation—designed to reduce decision fatigue, clinical risk, and time spent per consultation.

Impact Highlights

• 10–18 minutes saved per consultation
• 25–40% reduction in clinical workflow time
• 15–30% fewer medication-related errors
• 1–2 additional consultations enabled per day

Quick Facts

• Industry: Healthcare / Mental Health
• Platform: Web-based SaaS
• Model: B2C, Single-tenant
• Primary Users: Psychiatrists, Medical Students
• Services Provided: Product Strategy, UX, Frontend, Backend, AI Architecture, Deployment & Compliance

Background

Psychiatric care involves complex decision-making across medications, interactions, titration protocols, and documentation. Despite advances in digital health, many psychiatrists still rely on static medical books and fragmented EHR notes to guide treatment planning.

The client, an experienced psychiatrist, recognized a growing gap between available medical knowledge and how efficiently clinicians can apply it in real practice. The goal was to build a platform that could act as a clinically aligned, professionally trained AI assistant, not a generic chatbot.

Challenge

Business & Clinical Challenges

• Treatment planning required cross-referencing multiple medical texts
• Documentation was repetitive, manual, and error-prone
• Complex cases (polypharmacy, tapering, transitions) increased clinical risk
• Clinicians spent excessive time synthesizing information instead of focusing on patient care

Technical Challenges

• Structuring large volumes of medical books and articles into AI-readable knowledge
• Mapping patient context and clinical scenarios accurately
• Preventing hallucinations in high-risk medical decisions
• Ensuring HIPAA compliance while allowing real patient data input

Solution

Stackup Solutions partnered end-to-end to design and build a live, production-grade AI psychopharmacology platform.

Architecture & Technical Decisions

• Frontend: Next.js web application with clinician-first UX
• Backend: Laravel with MySQL and Prisma ORM
• AI Layer: GPT-4 with Retrieval-Augmented Generation (RAG)
• Vector Search: Pinecone for semantic medical document retrieval
• Security: AES-256 encryption, TLS 1.2+, full audit logging
• Auth & Billing: JWT authentication, Stripe subscriptions with usage control
• Compliance: HIPAA-ready architecture with logged AI outputs

AI & Clinical Intelligence

• Multithreaded AI chat organized by patient or use case
• Prompt templates for:
  • SOAP notes
  • Medication plans
  • Labs and diagnostics
• Evidence-based recommendations sourced only from curated internal documents
• Drug interaction and polypharmacy alerts
• Tapering, cross-titration, and medication transition guidance
• ICD-10 verification with optional DSM-5-TR mapping

Hallucination Prevention & Safety

• AI agent-in-the-loop to validate responses
• Internal-only citation enforcement
• Logged and auditable outputs for compliance
• Guardrails for high-risk scenarios

Workflows & Automation

Before

• Manual reference checking across books
• Separate documentation workflows
• High cognitive load and decision fatigue

After

1. Clinician logs in
2. Selects patient or scenario thread
3. Enters clinical context
4. AI retrieves and synthesizes relevant medical guidance
5. Generates structured outputs (treatment plan, SOAP notes)
6. Clinician reviews, copies, and applies confidently

This workflow reduced fragmentation while preserving clinician oversight.

Implementation Process

Phase 1: Planning & Architecture

• Role definitions
• Compliance-first system design
• UX wireframing with clinician feedback

Phase 2: AI & Knowledge System

• Medical knowledge ingestion
• Vector embeddings and citation logic
• Prompt engineering aligned with psychiatric workflows

Phase 3: Platform Build

• Frontend, backend, admin dashboards
• Subscription and billing logic
• Security hardening and audit logging

Phase 4: Launch

• QA and testing
• Live production deployment

Results & Impact

Efficiency & Productivity

• 10–18 minutes saved per consultation
• 25–40% overall workflow time reduction
• Enables 1–2 additional daily consultations per psychiatrist

Safety & Quality

• 15–30% reduction in medication-related errors
• 30–50% reduction in documentation errors
• Improved consistency in care decisions

Engagement & Business Impact

• 10–20% reduction in clinician burnout
• 5–15% increase in patient follow-up retention
• Estimated $2k–6k additional monthly revenue per psychiatrist
• Platform ROI achieved within ~1 week of use