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The framework reveals a high-value clinical utility focused on reducing diagnostic errors, but highlights a heavy dependency on EHR integration to avoid workflow friction. The model shifts from a simple tool to a clinical decision-support system, where success depends on balancing sensitivity with the rigor of multi-modal verification.
Key Partners3 EHR Vendors Partnerships with platforms like Epic or Cerner are essential to embed the tool directly into the clinician's existing digital workflow. Pediatric Professional Associations Collaborating with bodies like the AAP to validate the screening protocols and encourage adoption among practitioners. Psychometric Research Groups Academic partners to refine the weighting of the multi-modal verification approach and ensure evidence-based specificity. Key Activities3 Algorithm Refinement Developing the weighted logic that triggers secondary screens for ODD, Behavior, and Anxiety disorders based on initial ADHD markers. Workflow Integration Designing the UI/UX to ensure prompts appear at the 'point of prescribing' or diagnosis without causing alert fatigue. Clinical Validation Conducting pilot studies to prove that the multi-instrument approach reduces false positives compared to single-scale screening. Key Resources3 Validated Screening Instruments Licensing and integration of established tools like the WURS and ASRS to ensure diagnostic rigor. Clinical Decision Support (CDS) IP Proprietary logic and weighted checklists that guide the differential diagnosis process. Medical Subject Matter Experts Pediatric psychiatrists and psychologists to oversee the 'differential flags' for complex cases like Bipolar or BPD. Value Propositions3 Reduced Misdiagnosis Minimizes false positives by prompting multi-modal verification, preventing the misidentification of anxiety or mood disorders as ADHD. Increased Diagnostic Efficiency Automates the identification of high-prevalence comorbidities (ODD, Anxiety), ensuring comprehensive care without manual checklist tracking. Clinical Risk Mitigation Provides a safety net for practitioners by flagging atypical presentations that require a broader psychiatric review. Customer Relationships2 B2B Professional Support Providing ongoing clinical updates and evidence-based refinements to the screening logic for clinic administrators. Clinician Trust Building Positioning the tool as a 'screening aid' rather than an authority to maintain the clinician's autonomy and professional judgment. Channels3 EHR App Marketplaces Distributing the tool as a plug-in or integrated module within electronic health record systems. Medical Conferences Demonstrating the tool's efficacy in reducing false positives at pediatric and mental health symposiums. Direct B2B Sales Targeting large child psychology clinics and multi-practitioner pediatric groups. Customer Segments3 Pediatricians Primary care providers who perform initial ADHD screenings and need guidance on comorbid triggers. Child Psychology Clinics Specialized centers requiring high-specificity tools to manage complex differential diagnoses. School Counselors Educational professionals performing preliminary screenings to refer students to clinical specialists. Cost Structure3 Software Development & Integration High initial costs for building API integrations with various EHR systems and maintaining a secure, HIPAA-compliant cloud. Licensing Fees Costs associated with the legal right to use proprietary psychiatric screening instruments within the software. Clinical Research & Validation Ongoing costs for auditing the tool's accuracy against gold-standard structured interviews. Revenue Streams3 SaaS Subscription Monthly or annual per-provider fee for clinics to access the decision-support module. Implementation Fees One-time setup and integration fees for onboarding large pediatric networks into their EHR. Tiered Licensing Different pricing levels based on the number of screening instruments and the complexity of the differential flags used. Necessary to define how the tool integrates into the clinician's workflow and identifies the specific paying entities among clinics and counselors. · Generated 2026-10-01 by cavi/gemma4-31b-it-awq-4bit-32kAI-generated