Healthcare AI Clinicians Trust.

Clinical documentation assistants, prior authorization, AI medical coding, and denial triage, grounded in the patient record, reviewed by clinicians, and delivered under a BAA with HIPAA-aware controls.

  • 30-45%less documentation time
  • 95%+citation accuracy on clinical answers
  • EveryAI action audit-logged

Challenges

Why Healthcare AI Stalls

  1. 01

    Clinicians Don't Trust the Output

    One unsupported answer and adoption stops.

  2. 02

    Compliance Can't See Inside

    Compliance teams won't approve models that handle PHI without controls and audit trails.

  3. 03

    ROI Is Hard to Prove

    Finance needs time saved, denials avoided, and dollars recovered, not demos.

Care and revenue journey

Where AI Moves the Needle in Healthcare

AI in healthcare delivers fastest where staff spend hours on documentation and paperwork: clinical notes, prior authorization, coding, and claims denials. SMI TechSolutions maps use cases across the care and revenue journey, with a clinician or specialist approving every AI output that affects care or billing.

Stage 01

Approvals assembled from the record and payer rules, ready for staff review.

  • Prior authorization automation
  • Intake summarization
  • Eligibility checks
Stage 02

Notes drafted from the visit; clinicians edit and sign.

  • Clinical documentation assistant
  • Guideline lookup with citations
  • Visit summaries
Stage 03

Codes suggested with the evidence behind each one.

  • AI medical coding suggestions
  • Documentation gap alerts
  • Coder copilot
Stage 04

Find why claims were denied and draft the appeal.

  • Claims summarization
  • Denial triage
  • Appeal letter drafting
Stage 05

Track quality measures and modernize the systems behind them.

  • Population health analytics
  • HEDIS reporting
  • EMR modernization

Fits your stack

Built on Your Clinical and Revenue Systems

Your systems
  • EHR / EMR
  • FHIR R4 and HL7 interfaces
  • Payer rules
  • Claims and billing systems
  • Data warehouse
SMI governed layer
  • Every engagement under a BAA
  • PHI redaction
  • Zero-retention model calls
  • Audit log of every AI action
  • Self-hosted models for the most sensitive data
Outcomes
  • Documentation assistant
  • Prior authorization and coding
  • Population health analytics
  • HIPAA-aware by default
  • BAA on every engagement
  • Clinician review built in

Services that apply

How Our Services Apply to Healthcare

FAQ

Frequently Asked Questions

How is AI used in healthcare operations?

AI in healthcare operations drafts clinical notes, assembles prior authorization requests, suggests medical codes, explains claim denials, and tracks quality measures. SMI TechSolutions builds these with clinician or specialist review on every output that affects care or billing.

What makes AI HIPAA compliant?

HIPAA compliance for AI depends on how protected health information is handled: a signed BAA with every vendor that touches PHI, access controls, encryption, minimum-necessary data use, and audit logs. SMI TechSolutions delivers under a BAA with PHI redaction, zero-retention model calls, and full audit trails.

What is AI medical coding?

AI medical coding reads clinical documentation and suggests diagnosis and procedure codes, showing the evidence for each suggestion. Certified coders review and approve the codes, so the AI speeds up coding and flags documentation gaps without replacing human judgment.

How does prior authorization automation work?

Prior authorization automation pulls the relevant clinical information from the patient record, checks it against the payer's rules, and prepares the request. SMI TechSolutions builds these workflows with staff approval before anything is submitted to the payer.

How can AI help revenue cycle management?

AI helps revenue cycle management by finding why claims are denied, prioritizing the denials worth working, and drafting appeal letters for billing staff to review. SMI TechSolutions also builds analytics that show where revenue leaks across the cycle.

How do you prevent hallucinations in clinical AI?

SMI TechSolutions grounds every answer in the patient record or approved guidelines and shows citations, so clinicians can check the source. Hallucination rates are measured with evals before release and monitored in production, and a clinician signs off on anything that affects care.

How do you get clinicians to use AI?

SMI TechSolutions co-designs tools with clinicians, starts with a pilot group, and measures time saved, quality, and clinician satisfaction before scaling. Tools fit into existing EHR workflows instead of adding another screen.

How quickly can we see results?

Most SMI TechSolutions healthcare engagements start with a 60-minute briefing and a 12-week clinical AI pilot focused on one workflow, such as documentation or denials, before scaling across departments.

Healthcare offer

Plan a 12-Week Clinical AI Pilot.

In a 60-minute briefing, pick one workflow, agree the measure of success, and leave with a 12-week pilot proposal under a BAA.

Book a Healthcare Briefing
  • Nearly two decades of delivery
  • BAA on every engagement
  • ISO 9001:2015 certified
  • ISO 27001 certified
  • AICPA SOC
  • Microsoft Partner Network
  • OpenWater Network certified
  • GoodFirms - reviewed, rated excellent, 5 stars
  • Clutch - reviewed, 5 stars