Affineon Health vs Switchboard, MD (2026)

AI Health Index verifiedSeptember 30, 2026
Verdict

Both sort work that reaches a practice, at different points. Affineon's Labs Core closes normal results, and abnormal results inside parameters the practice sets, and notifies the patient. For results that need the provider, it trends labs, calculates ASCVD and CKD risk and drafts a patient note. Rx Renewals checks each renewal against a configurable protocol. Switchboard, MD classifies everything a practice receives, from faxes and voicemails to portal messages and web forms, and routes it into work queues. Referrals are extracted into the patient record, benefits are checked, and voice and text agents book the patient. Its founding message triage model was published in NEJM AI in 2025. Choose Affineon to close routine results and renewals on protocol; choose Switchboard, MD to sort inbound messages and turn referrals into scheduled visits.

The case for Affineon Health
  • Routine lab results should close on thresholds your practice sets.
  • Renewal requests should show which protocol guidelines are met.
  • A published price per provider per month suits how you buy.
The case for Switchboard, MD
  • Faxes, voicemails and portal messages should be sorted into work queues by type.
  • Referrals should become scheduled appointments with benefits checked.
  • You want the triage model backed by a peer reviewed study.

This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Affineon Health and Switchboard, MD are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded

At a Glance

Plain facts

Fact Affineon Health Switchboard, MD
Primary category Clinical Inbox & Messaging AI Healthcare Administrative Automation
Founded Not recorded 2022
Headquarters Denver, Colorado Atlanta, Georgia, United States
Website affineon.com switchboardmd.com
Attribute Matrix

Side by Side

Select any grade to read the note behind it.

Axis
A
Affineon Health
S
Switchboard, MD
AI Centrality
Autonomy and Oversight Model
Model and Technology Transparency
Model Supply Chain Disclosure
Clinical and Operational Evidence
AI Safety and PHI Stewardship
HIPAA and BAA Posture
Security Certifications and Trust Center
FDA and Regulatory Status
AI Governance and Bias Disclosure
AI Liability and Recourse
EHR and Interoperability Depth
Deployment Model and Data Residency
Commercial Transparency
Setting and Specialty Coverage
Citable Summaries

Each vendor in one paragraph

Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.

Affineon Health

Affineon Health sells an AI agent for the clinical inbox of ambulatory practices, working inside the electronic health record in two workflows. Labs Core closes normal results, and abnormal results inside parameters the practice sets, and notifies the patient; routes CC'd results to staff; and for results that need the provider, summarizes and trends the labs, calculates ASCVD and CKD risk, and drafts a note to the patient for the provider to review and send.

Source: AI Health Index, September 2026

Switchboard, MD

Physician-built AI that classifies, prioritizes and routes everything a practice receives from patients and referrers, and now leads with turning referrals into scheduled care.

Source: AI Health Index, September 2026

FAQ

Questions buyers ask

How do Affineon Health and Switchboard, MD work with the EHR?

For Affineon Health, the Embed program offers the agent to EHR vendors, AI scribes and other health technology companies to sell under their own brands (Commure has joined), which may be the route to other systems. Whether it runs on any other record system today is not stated.

Switchboard, MD joined athenahealth's Partner Community as a Solution Partner in July 2026, with its solution listed in the athenahealth Marketplace; that integration classifies inbound referrals, creates or updates the patient record, and writes confirmed appointments back into athenahealth. The founding model ran inside Emory's record system messaging pools. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 30, 2026. No vendor pays for placement.

What evidence is published for Affineon Health and Switchboard, MD?

In Affineon Health's case, the September 2025 case study names Annapolis Internal Medicine and Dr. Titus Abraham and reports that monthly inbox volume dropped 53 percent after adoption, with about 3,664 lab results handled automatically and 3,500 renewals expedited each month; it gives no baseline period, no measurement method and no provider count.

For Switchboard, MD, the company says the studied model was an early version of its product. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 30, 2026. No vendor pays for placement.

How much do Affineon Health and Switchboard, MD leave to the clinician?

With Affineon Health, the thresholds are set by the practice ('All settings are configurable at the practice level so doctors stay in control'), and the Embed page sells the agent as triaging the provider inbox '24 hours a day, 365 days a year', which is the scope this oversight has to cover.

In Switchboard, MD's case, the company's own published study reports 97.8 percent classification accuracy, so some messages, urgent ones included, are misclassified. The models are also described as 'continuous learning based on outcomes', so their behavior changes as teams work. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 30, 2026. No vendor pays for placement.

Keep Comparing

Related comparisons

Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Clinical Inbox & Messaging AI page.

Disclosure

Both records were reviewed on this site in September 2026. Affineon closes some results and messages the patient with no clinician involved, on thresholds the practice sets. Switchboard, MD's model decides which patient messages go to non clinical queues, so a clinician may never read them. Neither states a regulatory position. Switchboard, MD promises urgent needs are surfaced "every time". Its own NEJM AI study reports 97.8 percent classification accuracy on 500 held back messages, so some are misclassified. That study, with the founder among its authors, found conversations closed 22.5 hours sooner across four Emory locations. The company says it tested an early version of the product. Affineon's Annapolis Internal Medicine figure, a 53 percent drop in monthly inbox volume, gives no baseline period or method. Affineon publishes prices from $75 to $175 per provider per month. Switchboard, MD publishes none. Neither states a business associate position.

Ask Switchboard, MD how a misclassified urgent message is caught, and ask Affineon how often an auto closed result later needed a clinician.