7 min readContent generation

Generate patient discharge summaries, after-visit instructions, and medication guides

This solution eliminates the after-hours charting burden by automatically generating patient-friendly discharge summaries and medication guides from natural clinic conversations. It gives MSPs a high-value, easy-to-deploy wedge offering that directly cures physician burnout and improves clinic efficiency.

The problem today

70%

of documentation time wasted on manual typing

2+ hours

lost daily to after-hours charting per provider

Dr. Marcus Webb runs a 5-provider family medicine practice in the Columbus suburbs and hasn't left the office before 7pm on a weeknight in three years. His biggest fear isn't malpractice — it's that one of his exhausted partners will send a patient home with instructions that don't match what was discussed in the room, and nobody will catch it until something goes wrong.

01The Problem

·014–6 HRS/DAY LOST

Documentation written after clinic ends cannot be billed, recovered, or delegated — it just disappears from the physician's life.

·02DOSAGE ERROR RISK

Notes finished at 9pm by a fatigued provider are where wrong dosages and missing allergy flags go undetected until a patient is harmed.

·03CONSISTENCY GAP

Discharge instructions that vary by provider and shift create a patient safety exposure no one in a 5-provider practice has bandwidth to audit.

·04AUDIT EXPOSURE

A missing CMS-required element in a discharge note triggers clawbacks, penalties, and months of administrative scrutiny.

·0510–15 MIN CHECKOUT

Every afternoon slot compounds the delay when patients cannot leave until hand-typed instructions are finished and printed.

·06GENERIC HANDOUTS

A complex multi-condition patient receiving the same printed sheet as a healthy adult generates repeat calls that consume staff time already running thin.

02The Solution

Solution Brief

Fictional portrayal · illustrative

·01today
  • Marcus runs 5 providers seeing ~22 patients each per day
  • Every discharge doc written from scratch, post-clinic, by whoever is least exhausted
  • Quiet inconsistency across providers — no bandwidth to audit it
·02the stakes
  • Missed drug interaction or omitted CMS element = patient safety event or clawback
  • Instructions mismatched to patient literacy → ED return, not care plan follow-through
  • Cumulative exposure multiplies across 5 providers and 100+ daily visits
  • Marcus's real fear: something goes wrong between visits from docs his own team produced
·03what changes
  • Ambient AI scribe generates complete discharge draft before patient stands up
  • After-visit instructions matched to that patient's health literacy level — not a template
  • Medication guides built against individual comorbidities and current prescriptions
  • Marcus reviews, approves, moves to next room — out by 6pm
  • $6,000–$10,000+ per practice annually via subscription resale, compliance management, and customization
·04field note
I went into medicine to talk to patients. Somewhere along the way I became a medical transcriptionist who sees patients on the side. The first week I used this, I drove home before dark and I genuinely didn't know what to do with myself.

Dr

03What the AI Actually Does

Ambient Clinical Scribe

Listens passively to the provider-patient conversation during the visit and generates a structured clinical note, discharge summary, and after-visit instructions in real time — no dictation, no typing, no after-hours catch-up.

Plain-Language Document Generator

Rewrites medication guides and patient instructions at a specified reading level, tailored to the individual patient's age, conditions, and medication list — so what goes home with the patient is actually useful to that patient.

Documentation Compliance Checker

Scans every discharge summary against CMS documentation requirements before it's finalized, flagging missing elements so the practice stays audit-ready without anyone having to remember the checklist.

E&M Coding Capture Assistant

Analyzes the ambient encounter transcript to identify billable complexity that physicians routinely undersell when they're rushing through end-of-day documentation — surfacing the accurate code before the claim goes out.

04Technology Stack

Freed AI Medical Scribe

$99/provider/month (list); group pricing available for 5+ providers — estimate $79–$89/provider/month

Primary ambient AI scribe platform. Automatically generates SOAP notes, patient instructions, after-visit summaries, referral letters, absence notes,

Hathr.AI (HIPAA-Compliant Claude AI)

$45/user/month (Starter); $75/user/month (Professional with API access)

HIPAA-compliant AI workspace for generating custom medication guides, patient education materials, and discharge instruction templates that go beyond

Cisco Meraki Enterprise License

$150/AP/year (3-year license term recommended at ~$100/AP/year)

Cloud management license for Meraki access points. Provides centralized dashboard for MSP remote monitoring, firmware updates, rogue AP detection, and

Microsoft 365 Business Premium

$22/user/month

Provides Azure AD (Entra ID) for SSO/MFA across all AI platforms, Microsoft Intune for iPad MDM enrollment, Exchange Online for secure email delivery

Jamf Now (or Microsoft Intune)

$4/device/month (Jamf Now Plus) or included with M365 Business Premium (Intune)

Mobile device management for shared iPads at discharge stations. Enforces passcode policy, restricts app installation, enables remote wipe, and config

05Alternative Approaches

DeepCura for athenahealth Practices

$99–$129/provider/month

Replace Freed with DeepCura as the primary AI documentation platform. DeepCura offers full bidirectional API integration with athenahealth, automatically reading patient context from athenaOne and writing back AI-generated content into HPI, Physical Exam, Patient Instructions, Assessment & Plan, and 14+ EHR fields — eliminating the copy-paste workflow entirely.

Strengths

  • Full bidirectional API integration with athenahealth
  • Writes directly to athenahealth fields — no copy-paste required
  • Saves an additional 1–2 minutes per encounter
  • Reduces risk of content being generated but not transferred to EHR
  • Comparable cost to Freed

Tradeoffs

  • Only works with athenahealth — not EHR-agnostic
  • No platform flexibility if practice changes EHR

Best for: Practices using athenahealth as their primary EHR that value deep integration over platform flexibility

Microsoft Dragon Copilot (DAX) for Epic Practices

$369/provider/month + $700 one-time implementation per user

Replace Freed with Microsoft Dragon Copilot for practices running Epic. Dragon Copilot (formerly DAX Copilot + Dragon Medical One) is natively embedded within Epic Hyperspace, generating clinical notes, after-visit summaries, and patient instructions without leaving the EHR interface.

Strengths

  • Fully embedded in Epic Hyperspace — no context switching
  • Automatic AVS generation to MyChart
  • Gold standard for Epic environments
  • Backed by Microsoft/Nuance enterprise support

Tradeoffs

  • Significantly more expensive: $369/month vs $99/month per provider
  • $700 one-time implementation cost per user
  • Total first-year cost for 5 providers ~$25,560 vs ~$5,940 for Freed (4.3x increase)
  • Not recommended for small practices under 10 providers

Best for: Practices running Epic with budget for premium tooling that value a seamless EHR-native experience

Custom Azure OpenAI + FHIR Integration

~$0.02–$0.05/encounter (compute); $30,000–$75,000 upfront development

Build a fully custom solution using Azure OpenAI Service (GPT-5.4) with FHIR R4 APIs to read patient data from the EHR and generate discharge summaries, patient instructions, and medication guides. Deploy as a custom web application hosted in Azure with a HIPAA-compliant architecture.

Strengths

  • Most flexible and customizable approach
  • Full control over prompts, formatting, and data flow
  • Dramatically cheaper at scale — ~$0.02–$0.05 per encounter
  • Azure OpenAI GPT-5.4: ~$2.50/million input tokens + $10/million output tokens

Tradeoffs

  • Requires 2–4 months of development and $30,000–$75,000 in development costs
  • Ongoing maintenance requires a developer with FHIR and healthcare experience
  • MSP assumes responsibility for HIPAA compliance of the custom application
  • Not suitable for small or mid-size practices

Best for: Large multi-site practices with 50+ providers where per-seat SaaS costs exceed $50,000/year and the practice has budget for custom development

AWS HealthScribe for API-First Approach

$0.10/minute of audio

Use Amazon Web Services HealthScribe as the clinical documentation backbone instead of Freed. AWS HealthScribe is a purpose-built HIPAA-eligible API that converts patient-clinician conversations into structured clinical notes and extracts relevant medical terms. Requires building a lightweight web frontend for providers.

Strengths

  • Usage-based pricing is cheaper than per-seat SaaS for low-volume providers
  • Purpose-built HIPAA-eligible API
  • Generates structured clinical notes and extracts medical terms
  • Good for MSPs with in-house development capability

Tradeoffs

  • Requires custom frontend development, EHR integration coding, and ongoing DevOps maintenance
  • Not a finished product — API only
  • Does not natively generate patient-friendly instructions or medication guides
  • High-volume practices or longer encounters can exceed SaaS pricing

Best for: MSPs with in-house development capability serving large practices that want to own their AI stack

BastionGPT for Dental-Only Practices

$30–$60/user/month

Replace both Freed and Hathr.AI with BastionGPT as a single HIPAA-compliant AI platform for dental practices. BastionGPT includes pre-built dental prompt templates for clinical note summarization, post-operative instructions, patient communications, and treatment plan explanations.

Strengths

  • Lower cost vs Freed + Hathr.AI combined ($30–$60 vs $144/user/month)
  • Simpler stack — one platform instead of two
  • Dental-specific templates ready to use without extensive customization

Tradeoffs

  • Primarily a chat-based AI interface, not an ambient scribe
  • Providers must type or paste encounter details rather than having it listen passively
  • Less ambient AI capability than Freed

Best for: Dental practices that want AI-assisted documentation without ambient recording — particularly where dentists prefer to dictate or type notes after the procedure

Suki AI for Multi-Specialty Groups

$199–$399/provider/month

Replace Freed with Suki AI for mid-size multi-specialty medical groups. Suki offers voice-command-driven AI documentation with the ability to generate notes, patient instructions, and even create orders via voice, across 100+ medical specialties.

Strengths

  • Deeper clinical workflow integration including voice-activated order creation
  • Supports 100+ medical specialties
  • Interactive voice-command interface (e.g., 'Suki, generate patient instructions for today's visit')
  • Different note structures per provider type

Tradeoffs

  • Higher cost than Freed ($199–$399 vs $99/month)
  • More complex than needed for solo practitioners or small single-specialty practices

Best for: Multi-specialty groups (5+ specialties) where different providers need different note structures and the practice values voice-command interaction over passive ambient capture

Ready to build this?

View the implementation guide →