Clinic administrators reviewing systems on a computer in a quiet office

Medical, dental, and specialty practices

Medical and dental practices: patient data should not leave on an unapproved AI tool.

Front desks adopt tools faster than anyone writes a rule. We take the technology leadership role: spend, vendors, and reporting across sites. The patient-data rule is part of that role. We do not run the clinic help desk.

Typical technology setup Typical setup

Patient letters in a public AI toolFront desk

Clinical transcription appBought on a card

Scheduling and reminder toolsUnreviewed

Visits and no-showsSite by site

AI Use PolicyNone

Typical setup for this industry. Not a client count.

The setup

What we usually find in medical, dental, and specialty practices.

A multi-site practice collects tools quietly. A transcription app one clinician likes, a scheduling add-on the office manager found, an unapproved AI tool the front desk uses to make a letter sound better. Each one is reasonable on its own, and none of them were reviewed together.

Meanwhile the reporting that would settle an argument about capacity, no-shows, or collections lives in practice management, scheduling, and billing. Someone merges the three by hand every month.

Typical technology setup

Drafting patient letters and instructions in an unapproved AI tool
Clinical documentation and transcription tools bought outside IT
Scheduling, recall, and reminder tools built into a portal
Insurance and billing letters written with an assistant

The rules that apply

HIPAA and patient confidentiality

Protected health information is the protected data. The policy names which tools may touch it, what must stay inside the practice's Microsoft cloud account, what happens when a clinician finds a tool that helps, and who owns exceptions. The practice can then answer the compliance question with a document rather than a hope.

The frame we design to. Not legal or clinical advice.

What leadership gets

Three reports worth having first.

✓Visits, capacity, and no-shows by site, provider, and appointment type
✓Billing, collections, and overdue balances by age, with the denial reasons worth fixing
✓Payer mix and reimbursement trend, read the same way every month

Report names are typical for the industry. Yours come from the systems the applications assessment finds. The base dashboard also shows what your technology costs, so license and vendor spend sits beside the operating numbers.

The method, in your terms

How the work usually runs.

AI Use Policy adopted with a hard patient-data rule and a named exception owner
AI security assessment confirms what is in use across every site and closes what is not allowed
Transcription and clinical tools reviewed rather than banned, with logging switched on
Applications assessment maps practice management, scheduling, and billing
Base dashboard set up in the practice's Microsoft cloud account, reporting across sites
AI security subscription and monthly watch to enforce and report the rule

The order is fixed. Where you start is a decision, and the first meeting is where it gets made.

The Microsoft 365 layer

Microsoft 365 is where the practice's letters, referrals, and internal mail usually live. It is also where the patient-data rule gets enforced, through access and sharing settings. The licensing review finds licenses bought for staff who never sign in. Copilot readiness is a permissions question: an assistant reads whatever the signed-in user can already open.

The Microsoft 365 practice

What stays with your team

We do not run your IT, help desk, computers, or electronic health records. That stays with your team or MSP
We do not touch clinical decisions, coding advice, or the content of patient records
We do not replace your practice management or health records system

Where this has run

A profile from this industry.

Patient data was being entered into a public AI tool.
Multi-site healthcare practice · ~60 staff

Patient data set the order. The policy and the assessment came before any connection, the unapproved tools were closed first, and the dashboard went live only for the systems the policy cleared.

All case studies

Start here

What this industry buys first.

AI Use Policy · Advisory review
AI security & governance assessment · Advisory review
AI security features · Monthly watch
Base dashboard deployment · Deployment
Applications assessment · Assessment
Copilot readiness · Delivery · scoped from the review

Every service listing

Where we work

Medical, dental, and specialty practices firms across the Carolinas.

Charlotte, NC · Mecklenburg CountyBanks and the firms that serve them, where the data rules come first and the AI question lands in the middle of them. Raleigh, NC · Wake CountySoftware and life-sciences companies where the first request for an AI policy arrives inside a customer's security questionnaire. Asheville, NC · Buncombe CountyTourism, healthcare, and precision manufacturing all hiring from the same small pool, so any tool that saves an hour gets adopted before anyone reviews it. Greenville, NC · Pitt CountyBusinesses around a hospital and a university, expected to treat health data carefully even when the health privacy law does not formally apply to them. Florence, SC · Florence CountyA healthcare and distribution hub on I-95, where a wrong number in a report costs more than a late one. Hilton Head Island, SC · Beaufort CountyResort, real estate, and professional firms on Hilton Head and in Bluffton, where every hour of staff time already has a job.

All locations · All industries · FAQ

Questions

Questions from medical, dental, and specialty practices

Do we have to ban clinical AI tools?

No, you do not have to ban clinical AI tools. Most can be approved with the right logging, retention, and access settings. The AI Use Policy sets what may touch patient data and what may not. Every tool already in use gets a clear decision: keep it, change how it is used, or retire it.

Is this HIPAA compliance?

This is the technology and oversight half of HIPAA compliance: the policy, the access controls, the logging, the reporting, and the evidence behind them. Third Shift is not your compliance officer and not your lawyer, and we say that in writing. The obligations and the clinical judgment stay yours.

Will this interfere with our EHR or practice management system?

No, this will not interfere with your EHR or practice management system. Third Shift reads from those systems rather than replacing them, and only where they offer a connection or a scheduled export. Clinical workflow stays exactly where it is, and the content of patient records is never touched.

All questions and answers

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The first step is the same in every industry.

Advisory first: a written assessment of your environment, the AI Use Policy, and a recommendation you own whether or not you continue with us.

Book the first conversation See the method