Industry

AI for Healthcare Operations: Scheduling, Intake, and Paperwork Under a BAA

Practices and healthcare operations teams lose hours to phones and paperwork: scheduling, intake, reminders, prior authorizations, referrals. DPI deploys HIPAA-aligned AI that answers patient calls, collects intake, moves paperwork, and supports documentation, with a Business Associate Agreement signed before any patient data is involved.

Who This Is For

Built for practices where the front desk is the bottleneck

  • Medical, dental, and specialty practices where staff juggle patients at the counter and a phone that never stops.
  • Multi-location groups that need consistent scheduling rules, hours, and answers at every site.
  • Billing and authorization teams assembling prior authorization and referral paperwork by hand.
  • Operations leaders who need patient data handled under a BAA with access logging and private processing.

Where AI Pays Off

Healthcare operations workflows we automate

Patient scheduling by phone

Voice agents book, reschedule, and confirm appointments using your scheduling rules, provider availability, and visit types, and route urgent calls to staff.

Intake and reminders

Demographics, insurance details, and forms collected by voice, text, or web before the visit, with reminders and preparation instructions sent automatically.

Prior authorization support

Requirements checked, forms assembled from the record, submissions tracked, and follow-up calls to payers handled with escalations to staff.

Referral processing

Incoming referrals read, entered, and scheduled, with missing information requested from the referring office.

Documentation support

Visit summaries, letters, and administrative documents drafted from structured inputs for clinician review.

Patient questions

Hours, locations, insurance accepted, preparation, and billing questions answered from approved information, with everything else routed to staff.

Phones and paperwork, handled under a BAA

Healthcare operations teams have the highest call and paperwork volume of any service business, and the strictest rules on how that information is handled. Most AI tools fail the second test. DPI deployments start with a signed Business Associate Agreement and an architecture reviewed by your compliance owner, then take on the work that keeps staff on the phone and off the patient.

What we deploy

Voice agents that schedule, reschedule, and confirm appointments and route urgent calls; intake and reminder workflows by voice, text, and web; prior authorization support that assembles requirements and follows up with payers; referral processing; documentation support for administrative documents; and answers to administrative patient questions from approved information.

Data handling

Minimum-necessary data in prompts, private processing for speech and language models where required, encrypted storage with access logging, retention rules per data type, and clear routing of clinical or urgent matters to people. Details on the security and compliance page.

Measuring the result

Answered-call rate, bookings and confirmations, no-show rate, intake completion before the visit, authorization cycle time, and hours returned to front-desk and billing staff, reported monthly.

How It Works

How a healthcare deployment runs

  1. BAA and workflow discovery

    Business Associate Agreement signed, then workflow mapping with front-desk, billing, and clinical operations staff.

  2. HIPAA-aligned architecture

    Data minimization, private or BAA-covered model hosting, access controls, retention, and logging designed and reviewed with your compliance owner.

  3. Pilot on one location or one call type

    Scheduling on a forwarding number or intake for one visit type, tuned with staff on real calls and cases.

  4. Group-wide rollout

    Expansion by location and workflow with dashboards for answered calls, bookings, no-shows, and paperwork cycle times.

Stack & Integrations

Systems and hosting

Practice management and scheduling systems EHR integrations through supported APIs Your phone system over SIP SMS, email, and WhatsApp Business API reminders Self-hosted speech and language models AWS Bedrock and BAA-covered hosted models PostgreSQL with encryption and access logging

Engagement Models

Engagement models

Front-desk assessment

Call and paperwork volumes, scheduling rules, and compliance requirements mapped, with the first deployment scoped and its metric defined.

Deployment

Fixed-scope delivery of the first workflow under a signed BAA, integrated with practice management, with staff training.

Managed operations

Ongoing monitoring, tuning, new locations and workflows, and monthly reporting on answered calls, bookings, and no-shows.

FAQ

Questions from healthcare teams

Do you sign a BAA?

Yes, before any protected health information is involved. The architecture is designed to HIPAA requirements from the start: minimum-necessary data, encrypted transport and storage, access logging, and retention rules.

Where are speech and language models hosted?

Speech-to-text and text-to-speech can run on open-source models inside a private environment, and language models on AWS Bedrock or self-hosted, so audio and transcripts stay under your control.

Can the agent book directly into our practice management system?

Yes, through supported APIs, using your visit types, provider schedules, and rules. Where an API is not available, we design a staff confirmation step rather than screen automation.

What about clinical questions from patients?

The agent handles administrative questions only and routes anything clinical or urgent to staff or your on-call protocol, with the transcript attached.

Can it reduce no-shows?

Confirmations, reminders, and easy rescheduling by voice and text are the main levers; the system tracks no-show rates before and after so the effect is measured, not assumed.

How quickly can we launch?

Scheduling and reminders for one location typically launch within weeks after the BAA and assessment; authorization and referral workflows are staged by payer and specialty.

Related

Next Step

Bring one workflow. Leave with a production plan.

Tell us where calls, tickets, documents, or approvals pile up. We map the workflow, size the impact, and propose a deployment you can measure.