Sunbeam Health
Sunbeam is a digital platform that prepares the ADHD workup before a patient visit, enabling family physicians and specialty clinics to complete assessments within a standard appointment slot. The platform collects adaptive intake, scores scales like ASRS and PHQ-9, and drafts SOAP notes and accommodation letters, with every piece of evidence mapped to DSM-5 criteria. Sunbeam does not diagnose; clinicians review, edit, and sign all draft materials.
- Digital Health
- Healthcare Technology
- Software Only
- Artificial Intelligence
Funding
Founders
Founder details are not available yet.
Product
Problem
Most family doctors do not diagnose ADHD and instead refer patients to specialists, where waitlists stretch for months and many patients never complete the referral. GPs lack the time, training, and structured tools to conduct a full ADHD workup, while comorbidities and complex cases make the assessment feel risky without a documented evidence trail.
Solution
Sunbeam provides a digital platform that lets physicians run a complete ADHD assessment inside a standard appointment slot, eliminating the need for referral. The patient completes an adaptive intake before the visit, covering developmental history, ASRS, comorbidity screening, and collateral reports, which are compiled into a clinician briefing with scored scales and flagged differentials. During the interview, the physician makes the clinical decision while Sunbeam drafts the SOAP note and any accommodation letters from the conversation. The platform maps every piece of patient evidence to the specific DSM-5 criterion it supports, creating a documented, criterion-by-criterion evidence trail. Sunbeam does not diagnose or make clinical decisions; all briefings, notes, and letters are drafts that the clinician reviews, edits, and signs.
Target Audience
Primary users are family physicians and primary care providers in Canada who want to assess adult ADHD within their practice, as well as ADHD specialty clinics seeking to increase assessment capacity without hiring additional staff.
Features
- Adaptive intake that branches questions dynamically based on patient responses, collecting developmental history, functional history, and symptom scales before the visit
- Pre-scored ASRS v1.1, PHQ-9, GAD-7, MDQ, and AUDIT-C scales with flagged differentials in the clinician briefing
- Collateral reports collected as part of intake and integrated directly into the briefing
- DSM-5 criterion mapping for every piece of evidence, presented in the patient's own words
- Drafted SOAP notes and accommodation letters (workplace, school, testing) generated from the clinical interview
- Flagging system for complex cases that fall outside a straightforward workup, allowing physicians to refer the few and keep the majority
- Canadian data residency with PHIPA (Ontario) and PIPEDA compliance, running on AWS with a signed data processing addendum and zero data retention for model inference