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Turn a de-identified consult brain dump into a SOAP note in about 5 minutes instead of 45, and map insurance carriers across stores with an AI agent
Michael Deninger, chief technology officer of Towncrest Pharmacies, a multi-store pharmacy operation based in Iowa, speaking at McKesson ideaShare 2026, in Pharmacy Times
After a consultation he types a de-identified "brain dump" of it into an AI platform, which organizes it into a complete SOAP note with relevant diagnostic and CPT codes. He fed de-identified claims data into an AI agent to map insurance carriers across his stores (Medicare, Medicaid, commercial plans, discount cards and hospice) into one reporting structure for every location. Staff use OpenEvidence, which answers from the medical literature, to look up unfamiliar topics, and one store runs an AI data-entry bot that processes orders and refills. The article doesn't name the AI platform or agent. Because HIPAA-compliant AI platforms are mostly out of reach for independents, he recommends strictly de-identifying any patient data put into consumer AI tools.
No tool named or priced in the source. Our DIY build: ChatGPT Free $0; Go $8/mo; Plus $20/mo; Pro $100/mo · Claude $17/mo billed annually ($20 monthly)
Medium · or we set it up for $197
AI platform for SOAP notes (not named), AI agent for claims data (not named), OpenEvidence, AI data-entry bot (not named)
The problem
Writing up a patient consultation, which can itself last 45 minutes, took about 45 minutes of documentation, and sorting insurance claims data across stores had taken colleagues "tens of hours" by hand.
What happened
Documentation that took 45 minutes now takes about 5, and the claims mapping took roughly 2 hours instead of tens of hours. "I took what was a very daunting task and was able to complete it very quickly," he said. His caution: "You need to be skeptical and always challenge what it is."
Quoted in the source: Michael Deninger, chief technology officer, Towncrest Pharmacies. Source: Pharmacy Times: McKesson ideaShare 2026: Why Automation and AI Are Reshaping the Dispensing Experience (2026-06-19) · Added 2026-11-01.
How to set it up yourself
- What Towncrest does: Deninger types a de-identified summary of each consultation into an AI platform that returns a SOAP note with diagnostic and CPT codes, and he fed de-identified claims data to an AI agent to map every store's insurance carriers into one reporting structure.
- Pick the tool for clinical notes first: ideally one that will sign a business associate agreement with your pharmacy. If you use a consumer chatbot as he describes, strip every identifier first (name, dates, address, phone, insurance ID, Rx and record numbers).
- Right after the consult, type or dictate your notes without identifiers and paste them in with the prompt below.
- Check every finding, drug, dose and code against your own notes and the payer's rules before the note goes into the record; treat the codes as suggestions, not billing advice.
- For the claims job, export a claims report with payer names and plan types only, ask the AI to group each payer as Medicare, Medicaid, commercial, discount card or hospice, and spot-check the groups against payers you know.
Copy-paste prompt
You are helping a pharmacist document a clinical consultation. From the de-identified notes below, write a SOAP note (Subjective, Objective, Assessment, Plan). Suggest relevant diagnosis codes and CPT codes for {SERVICE TYPE, e.g. MTM consultation}, each marked [VERIFY]. Use only what's in my notes; if something a SOAP note needs is missing, list it under Questions instead of guessing. Notes: {DE-IDENTIFIED NOTES}We set up one AI automation in your tools, live within 48 hours of getting access, for $197. No call needed. Founding price for our first 10 customers (regular $297).
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