Industry

AI in healthcare, and the IT it runs on

Administrative relief and clinical intelligence, plus helpdesk, security and backup, from one provider that treats a BAA as the starting point.

Healthcare organizations are sitting on extraordinary quantities of clinical data with limited ability to extract value from it. At the same time, administrative burden is consuming physician time that should be spent on patients. Senteras builds AI systems that are architected from the ground up for HIPAA compliance, deployed on your infrastructure so protected health information never leaves your environment. The same team runs the managed IT underneath it: helpdesk, security, backup and the systems of record, under one agreement with a response time in writing.

Book a free consultation

What makes this hard

Physicians spend 34–50% of their time on documentation and administrative tasks rather than patient care
Clinical note quality is inconsistent, creating liability risk and care coordination failures
Prior authorization denials cost health systems $19.7B annually in administrative overhead
Clinical trial recruitment takes 30% longer than needed due to inefficient patient matching

Where AI earns its place

Clinical documentation automation

AI scribes that listen to patient-physician conversations and generate structured clinical notes in the physician's voice, integrated directly into your EHR.

Clinician minutes returned per encounter

Prior authorization intelligence

Assemble the packet against the payer's published criteria and flag what is missing before submission, so incomplete requests stop costing a cycle.

Fewer submission cycles per request

Operational throughput forecasting

Predict patient volume, staffing needs, and bed occupancy across departments using historical admissions data and external signals.

Staffing planned against predicted demand

Clinical trial matching

AI that continuously screens your patient population against active trial eligibility criteria, surfacing qualified candidates in real time.

Eligible patients surfaced, not searched for

Figures are drawn from Senteras engagements and are illustrative of typical results. Outcomes vary by data quality, infrastructure and scope.

The rules that shape the build

These are the constraints that decide the architecture, usually before anyone has picked a model. This is general information about the regulatory landscape, not legal advice on your obligations.

HIPAA Privacy and Security Rules

The business associate agreement requirement sits in the Privacy Rule at 45 CFR 164.502(e); the Security Rule governs safeguards and the risk analysis. A cloud model touching PHI needs a signed BAA, and several major providers will not sign one for their consumer tiers. A model on your own infrastructure never creates the disclosure in the first place.

FDA device regulation and the CDS carve-out

A model that interprets clinical data to drive a diagnostic or treatment decision may be a regulated device. The 21st Century Cures Act carve-out excludes clinical decision support where the clinician can independently review the basis for the recommendation. Documenting and summarizing a clinician's own notes generally sits outside it. Draw the line before the build.

21st Century Cures Act information blocking

AI that unreasonably interferes with access to, exchange of, or use of electronic health information can constitute information blocking. The definition carries a knowledge standard and there are defined exceptions, so it is a question to answer deliberately rather than assume away.

How we approach it

2.3 hours per day per physician

A 400-physician regional health network deployed Senteras's on-premise clinical documentation AI and reclaimed an average of 2.3 hours of physician time per day, increasing patient throughput by 22% with no additional headcount.

Where this applies

The same core systems, with the differences that matter in each setting.

Hospitals and health systems: Ambient clinical documentation and discharge summarization carry the clearest ROI, measured in clinician minutes per encounter.
Medical practices and clinics: Prior authorization packet assembly is usually the single highest-value automation for a practice under 50 providers.
Behavioral health: Note-taking automation has the same value but a much higher privacy bar; 42 CFR Part 2 is stricter than HIPAA for substance-use records.
Radiology: Report drafting and prior-study comparison. Anything reading the image itself is squarely SaMD territory.
Medical billing and RCM: Denial-reason classification and appeal drafting; the training data is already in your clearinghouse.
Pharmacy and pharmaceuticals: Regulatory document assembly and pharmacovigilance case intake dominate over clinical use cases.

Go deeper

The parts of this sector that carry enough of their own detail to be worth their own page.

AI Medical Scribe

Ambient documentation that satisfies HIPAA, with the consent question answered before launch.

AI Medical Coding

Suggestion and gap detection, with a certified coder making every final call.

Prior Authorization

Packet assembly and criteria matching, so submissions are complete the first time.

Common questions

Do we need a BAA if the model runs on our own servers?

No. A BAA covers disclosure to a business associate. If the model runs on infrastructure you control, there is no disclosure and no business associate. Your Security Rule obligations for access control, audit logging and encryption still apply, but the vendor oversight question disappears entirely.

Is an AI scribe a regulated medical device?

Documenting and summarizing a clinician's own words generally is not. A system that interprets clinical data and informs a diagnostic or treatment decision may well be. The line is worth drawing with your regulatory lead before the build rather than after, because it changes what you can ship.

Our staff are already pasting notes into consumer AI tools. What now?

That is the most common actual exposure we find, and blocking the tools moves the behavior rather than stopping it. The workable sequence is a usage discovery pass, then a sanctioned internal option good enough that people prefer it, then enforcement.

What is the fastest use case to get value from?

Prior authorization packet assembly for most practices, and ambient documentation for most health systems. Both are high volume, structurally repetitive, and measured in clinician or staff minutes per encounter rather than in a soft quality claim.

Start with a conversation, not a proposal

Thirty minutes. We will tell you what we would change first, and whether you need us at all.

Book a call

The firm behind the firm