Editing PHKG Business Opportunities (section)

== 5. Pre-Consultation Triage — Patient Answers Before the Visit ==

'''Concept:''' Before a GP consultation, the patient answers structured questions via an app. AI triages: what symptoms to focus on, what tests to pre-order, what the GP should prioritize. Saves consultation time, improves outcomes.

=== How It Works ===

# Patient books GP appointment
# 24-48 hours before: patient gets a questionnaire (structured questions based on reason for visit)
# Patient answers: symptoms, duration, severity, relevant history
# AI triages: suggests tests to pre-order (blood work, imaging), flags urgent cases
# GP receives summary before the consultation: patient's answers + AI triage + relevant PHKG history
# Consultation focuses on diagnosis and treatment, not data gathering

=== Market Context ===

'''Existing players:'''

'''Klinik Healthcare Solutions''' (Finland, founded 2013) — the serious incumbent. CE-marked, deployed across NHS GP practices in England. AI patient flow management that routes patients to appropriate care. Independent health-economic evaluation by York Health Economics Consortium at Priory Medical Group: enabled delivery of 18 months' appointments in one year, £300k+ capacity savings. '''However:''' Finnish entity reported €1.49M revenue and €701k loss in FY2023, revenue down 6.1%, headcount down 14.3%. UK revenue likely booked separately. This is a signal about category willingness-to-pay, not just execution.<ref>Tracxn: Klinik Healthcare Solutions — https://tracxn.com/d/companies/klinik-healthcare-solutions/__IbnQBw_2bEtdpWPMAMu_HZcJ4LnkpBj8IqOy8BRCGs</ref>

'''NHS England incumbents:''' The UK is not a greenfield. AccuRx, eConsult, Patchs, and Anima are already widely deployed across NHS GP practices. The NHS Long Term Plan effectively mandated electronic triage forms. These represent the realistic competitive set if Stamen targets UK or follows UK-style procurement in the Nordics.

'''Ada Health''' (Germany, $100M+ raised) — AI symptom assessment with 30K+ medical concepts. B2C app, not integrated into GP workflow. Different product (patient-facing diagnosis vs. GP-assistant triage).

'''Babylon Health''' (UK, $4B peak valuation → collapsed) — AI triage + telehealth. Failed due to overpromising and regulatory issues. Warning story: don't position as "AI doctor."

'''Your.MD''' (Norway/UK) — AI symptom checker. Pivoted, limited traction.

'''What's different:'''
* Ada and Babylon are standalone symptom checkers. They compete with the GP, not assist the GP.
* Klinik and NHS incumbents do static questionnaire triage. A PHKG-backed version with LLM-based structured history-taking is a different product.
* The LLM-augmented version is genuinely new and promising. The static-questionnaire version has a 25-year history of underwhelming results (see RCT evidence below).'''

=== RCT Evidence — What Actually Works ===

'''Static questionnaire RCTs (1997-2024): mostly null or modest results.'''
* ESOGER trial (2024): null results on consultation length and outcomes.<ref>ESOGER trial (2024) — published in European journal, null results on pre-consultation questionnaire impact.</ref>
* VISIT trial (2022): no satisfaction effect, slight agenda-setting increase.<ref>VISIT trial (2022) — published study showing no improvement in patient satisfaction from pre-consultation questionnaires.</ref>
* These trials tested static forms filled before appointments. The evidence is clear: static questionnaires alone don't meaningfully reduce consultation time or improve outcomes.

'''LLM-augmented version: genuinely promising.'''
* PreA RCT (Nature Medicine, January 2026, n=2,069, 111 specialists): 28.7% reduction in consultation duration using LLM-based structured history-taking. However: this was specialist care, not GP. Generalisation to primary care is uncertain.<ref>PreA RCT (Jan 2026): Nature Medicine — LLM-based structured history-taking reduced specialist consultation duration by 28.7%. n=2,069 patients, 111 specialists.</ref>

'''Key insight:''' The defensible version of this opportunity is narrower than generic "pre-consultation triage": LLM-based structured history-taking integrated into the GP's existing EHR, positioned as assistant not replacement, with a measurable consultation-time outcome.

=== Revenue Potential ===

* '''Per-consultation fee:''' €2-5 per pre-consultation triage
* '''Or per-practice subscription:''' €100-300/month per GP practice
* '''Norwegian GP consultations:''' ~20 million/year across ~5,000 GPs
* '''Example:''' If used for 10% of consultations at €3 each = 2M consultations × €3 = €6M addressable market in Norway alone

=== Challenges ===

* '''Simplicity is everything:''' If the questionnaire takes more than 3 minutes, patients won't do it. Must be dead simple.
* '''GP trust:''' GPs will ignore AI triage suggestions if they're wrong 20% of the time. Need very high accuracy for the specific triage use case (not general diagnosis).
* '''Babylon warning:''' Babylon raised $4B and collapsed. The lesson: AI triage in healthcare is harder than it looks, and overpromising kills trust. Must underpromise and overdeliver.
* '''Test pre-ordering:''' Getting labs to accept pre-orders from an app requires integration with lab systems. Not trivial.
* '''Regulatory:''' If the tool suggests specific tests, it's clinical decision support → potentially needs MDR certification.

=== Verdict ===

'''The problem is real and well-evidenced, but "simplest product, fastest to revenue" is misleading.''' The simplicity is in the build, not in trust, adoption, regulatory clearance (MDR), or willingness-to-pay. A decade-old, CE-marked, NHS-deployed Nordic competitor (Klinik) doing ~€1.5M revenue and losing money is the relevant base rate.

'''The defensible version is narrower:''' LLM-based structured history-taking integrated into the GP's existing EHR, positioned as assistant not replacement, with a measurable consultation-time outcome. The PreA RCT (28.7% reduction) is the evidence to build on. Static questionnaires have 25 years of underwhelming RCT results — don't build that.

'''Regulatory risk:''' If the tool suggests specific tests or diagnoses, it's clinical decision support → potentially needs CE marking as a medical device (MDR). Questionnaire-only approach has lower regulatory burden but also lower value.

'''Babylon is a warning:''' Don't position as "AI doctor." Position as "structured history-taking assistant." Underpromise, overdeliver."