Building a GLP-1 Telehealth Platform: What You Need to Know

This is the part a lot of guides look over because feature lists are fun but architecture is work. A good GLP-1 platform needs to have all of this under the hood:

Layer 1: Patient Intake and Clinical Assessment

What it does: This is where patients share their health history, get screened for contraindications (things like thyroid cancer history or pancreatitis that would make GLP-1s inappropriate), and build a relationship with a provider.

Technical requirements:

• HIPAA-compliant forms with PHI encryption at rest and in transit
• BMI calculator with clinical threshold logic
• Medication interaction screening via a drug interaction database like First Databank or Medi-Span
• Insurance eligibility checks
• Identity verification for controlled substance protocols
• State-specific consent forms served based on patient location

Architecture note: But here comes the most important architectural decision: you need to build your state compliance logic as a rules engine, instead of hardcoded if/else statements.

A patient’s location decides which consent form they see, the providers they can meet, and the prescribing rules that apply. So, you cannot push code every time there’s an update to the consent requirements since these rules change over time.

Layer 2: Telehealth Consultation and Prescribing

What it does: This is where the video visit, clinical notes, and the prescription come in.

Technical requirements:

• WebRTC-based video
• Structured clinical documentation (SOAP notes)
• E-prescribing through the NCPDP SCRIPT standard
• Surescripts network integration to route prescriptions to pharmacies — getting certified directly runs $50,000–$80,000 and can take 3–6 months; most startups go through an intermediary like DrFirst or DoseSpot instead — plan on $15,000–$30,000 and 2–4 months
• Electronic Prescribing for Controlled Substances (EPCS) functionality if handling controlled substance prescriptions, with its own DEA-mandated two-factor authentication requirements

Architecture note: That last part is a bigger lift than most people expect. Either way, we recommend budgeting for it early or it can become a real bottleneck.

Layer 3: Treatment Management and Monitoring

What it does: Of course GLP-1 treatment isn’t a one-and-done prescription. For instance, Semaglutide begins at a smaller dose and titrates up eventually over 16–20 weeks. A platform will need to track where each patient is in that schedule, flag side effects that need clinical attention, and keep the providers aware.

Technical requirements:

• A dosing protocol engine
• Side effect reporting with escalation logic
• Lab integrations for things like A1C and thyroid function (via FHIR R4 APIs connecting to Quest, Labcorp, or an aggregator like Health Gorilla)
• Wearable/smart scale integrations through Apple HealthKit and Google Health Connect

Architecture note: One thing worth noting– if you’re collecting physiologic data — weight, blood pressure — from FDA-cleared devices on a regular basis, there’s a chance you qualify for Remote Patient Monitoring reimbursement under Medicare. The CPT codes are 99453, 99454, 99457, and 99458, and they need at least 16 days of data collection per month. It’s a good revenue stream that many GLP-1 platforms in the market are starting to work around.

All in all: this is certainly tougher to build than it was two years back. The regulatory environment is stricter, the compounding shortcuts are no longer there, and the technical requirements are greater. But the market is much bigger too and more durable than we’ve ever seen it be. Platforms built on solid compliance infrastructure — not loopholes — are the ones that will still be around in five years.

Layer 4: Pharmacy Network and Fulfillment

What it does: Routes prescriptions to appropriate pharmacies, handles prior authorization, and tracks fulfillment status.

Technical requirements:

• Pharmacy network integration is a must, as branded GLP-1 medications require specialty pharmacy or mail-order fulfillment in most cases
• Prior authorization automation via CoverMyMeds API or NCPDP ePA standard
  Insurance formulary checking (is Wegovy on this patient’s plan? What tier? What’s the copay?)
• Patient Assistance Program integration (Novo Nordisk and Lilly both offer savings programs, and your platform should surface these automatically)
• Prescription status tracking and patient notifications
• Refill management with adherence monitoring

Prior authorization is a big operational bottleneck. The majority of commercial insurance plans require prior authorization for GLP-1 medications. This process takes anywhere between a couple of days to weeks, with the initial rejection rate being as high as 50%.

Over 90% of commercial insurance plans require prior auth for GLP-1 medications. The process takes 2-14 days on average and has a 30-50% initial denial rate.

To improve your provider’s efficiency, you should build automated prior authorization submission features, such as pre-populating clinical data from the patient’s chart, attaching the required documentation, and routing to the correct payer portal.

Many competitors find prior authorization a difficult task. However, none of them explain how to build it. The workflow typically involves the following:

1. Check payer-specific criteria (BMI thresholds, documented diet/exercise attempts, comorbidities)
2. Auto-populate PA forms with data already in the patient chart
3. Submit electronically via NCPDP ePA or payer-specific portal API
4. Track status and handle peer-to-peer review scheduling if denied
5. Auto-generate appeal documentation for initial denials

All this takes time — don’t expect it to be done in a day or two. You should budget at least $20,000-$35,000 for prior auth automation across the top 10 commercial payers.

This is certainly tougher to build than it was two years back. The regulatory environment is more strict, the compounding shortcuts are no longer there, and the technical requirements are greater. However, the market is much bigger, too, and growing.

Build a platform that complies with all the regulatory frameworks, and it will be around even after a few years.