80% of health systems are taking action on GenAI in the revenue cycle. READ THE NEW REPORT.

HCA knows healthcare. AKASA knows AI for healthcare.

GenAI helping HCA close documentation gaps, improve quality, and strengthen revenue integrity — at scale.

This page is to support ongoing conversations and internal review at HCA.

revenue cycle docs and mid-cycle documents and medical codes floating from a computer
revenue cycle docs and mid-cycle documents and medical codes floating from a computer
revenue cycle docs and mid-cycle documents and medical codes floating from a computer
akasa logo with data floating

The challenge isn’t effort.
It’s complexity.

HCA has strong teams, mature processes, and deep expertise across the mid-cycle. Yet the inpatient record is more complex than ever.

Across thousands of encounters each day, documentation gaps persist, quality indicators go uncaptured, and accuracy issues surface too late — after billing.

GenAI changes what’s possible before the bill drops.

What this looks like in a single day for HCA

What this looks like
in a single day for HCA

$0.0M

already earned
revenue identified

0,000

inpatient
encounters flagged

0

missed quality
indicators identified

How GenAI supports HCA’s mid-cycle priorities

AKASA applies healthcare-trained GenAI to the mid-cycle to ensure documentation and coding are complete, accurate, and defensible — before billing.

Close documentation gaps at enterprise scale

Improve quality outcomes consistently

Strengthen revenue integrity without disruption

Reduce compliance and defensibility risk

What health system leaders are saying

Built for how HCA teams work

Finance

AKASA helps accelerate the realization of earned revenue without disrupting existing cash flow. Teams see no negative impact to DNFB or cash days. Economics remain performance-based and aligned to outcomes.

HIM, Coding, and CDI

AKASA surfaces evidence-backed documentation and coding opportunities before billing. CDI and coding workflows remain intact, with fewer unnecessary queries and rework loops. Teams stay in control of all final decisions.

Compliance and Audit

Unsupported codes are identified before claims are submitted. Documentation and coding decisions are transparent and defensible. Audit readiness improves without adding manual review burden.

IT

AKASA integrates using FHIR and existing data access patterns. It is designed to coexist with MEDITECH workflows and governance. The platform scales cleanly across markets and divisions.

Finance

AKASA helps accelerate the realization of earned revenue without disrupting existing cash flow. Teams see no negative impact to DNFB or cash days. Economics remain performance-based and aligned to outcomes.

HIM, Coding, and CDI

AKASA surfaces evidence-backed documentation and coding opportunities before billing. CDI and coding workflows remain intact, with fewer unnecessary queries and rework loops. Teams stay in control of all final decisions.

Compliance and Audit

Unsupported codes are identified before claims are submitted. Documentation and coding decisions are transparent and defensible. Audit readiness improves without adding manual review burden.

IT

AKASA integrates using FHIR and existing data access patterns. It is designed to coexist with MEDITECH workflows and governance. The platform scales cleanly across markets and divisions.

Finance

AKASA helps accelerate the realization of earned revenue without disrupting existing cash flow. Teams see no negative impact to DNFB or cash days. Economics remain performance-based and aligned to outcomes.

HIM, Coding, and CDI

AKASA surfaces evidence-backed documentation and coding opportunities before billing. CDI and coding workflows remain intact, with fewer unnecessary queries and rework loops. Teams stay in control of all final decisions.

Compliance and Audit

Unsupported codes are identified before claims are submitted. Documentation and coding decisions are transparent and defensible. Audit readiness improves without adding manual review burden.

IT

AKASA integrates using FHIR and existing data access patterns. It is designed to coexist with MEDITECH workflows and governance. The platform scales cleanly across markets and divisions.

GenAI where it matters most
…before the bill drops

Step 1: Blue circle and illustration of a white magnifying glass

REVIEWS

GenAI reviews encounters and relevant clinical documents across all service lines

Step 1: Blue circle and illustration of a white magnifying glass

REVIEWS

GenAI reviews encounters and relevant clinical documents across all service lines

Step2: Blue circle and illustration of a white magnifying glass, a chart with an upward arrow and dollar sign

ANALYZES

GenAI analyzes the encounters for missed coding opportunities and potential DRG and quality impact

Step2: Blue circle and illustration of a white magnifying glass, a chart with an upward arrow and dollar sign

ANALYZES

GenAI analyzes the encounters for missed coding opportunities and potential DRG and quality impact

Actionable recommendations

Each suggestion comes with clinical evidence, coding references, and confidence scores.

Actionable recommendations

Each suggestion comes with clinical evidence, coding references, and confidence scores.

STEP 4: Blue circle and illustration of chat buttles and checkmarks indication validation

VALIDATES

Coders validate the AI’s suggestions, with justifications and easily verifiable direct quotes

STEP 4: Blue circle and illustration of chat buttles and checkmarks indication validation

VALIDATES

Coders validate the AI’s suggestions, with justifications and easily verifiable direct quotes

Step 5: Blue circle and illustration of a checkmark representing approval

APPROVES

Coders approve the codes with confidence

Step 5: Blue circle and illustration of a checkmark representing approval

APPROVES

Coders approve the codes with confidence

Patient Discharge

The encounter is completed and documentation is finalized as care concludes.

Patient Discharge

The encounter is completed and documentation is finalized as care concludes.

Coding Complete

Coding proceeds as usual within existing HCA workflows and systems.

Coding Complete

Coding proceeds as usual within existing HCA workflows and systems.

Pre-Bill Review

AKASA GenAI reviews 100% of encounters for CDI and coding opportunities.

STEP 4: Blue circle and illustration of chat buttles and checkmarks indication validation

Focused Review

Only high-confidence CDI and coding opportunities are surfaced for review.

Actionable recommendations

Each suggestion comes with clinical evidence, coding references, and confidence scores.

Actionable recommendations

Each suggestion comes with clinical evidence, coding references, and confidence scores.

Step 5: Blue circle and illustration of a checkmark representing approval

Human Control

HCA teams validate, act, and finalize all documentation and coding decisions.

STEP 4: Blue circle and illustration of chat buttles and checkmarks indication validation

VALIDATES

Coders validate the AI’s suggestions, with justifications and easily verifiable direct quotes

STEP 4: Blue circle and illustration of chat buttles and checkmarks indication validation

VALIDATES

Coders validate the AI’s suggestions, with justifications and easily verifiable direct quotes

Step 5: Blue circle and illustration of a checkmark representing approval

APPROVES

Coders approve the codes with confidence

Step 5: Blue circle and illustration of a checkmark representing approval

APPROVES

Coders approve the codes with confidence

Proven outcomes at health systems

Quality Improvement

0+

additional quality indicators captured
(per 10,000 discharges), including POA, SOI/ROM, HCCs, and exclusions

Operational Stability

Minimal to no impact on
A/R days, with consistent
pilot-to-production conversion

Revenue Integrity

$0.0M

net new revenue (per 10,000 discharges), driven by accuracy — not aggressive optimization

Designed for real CDI and coding workflows

AI-backed clinical evidence at reviewers’ fingertips. Each chart is interpreted within the full context of both patient-specific and organization-specific details, highlighting exactly where documentation or coding gaps exist and why they are significant.

Control review volume based on the opportunities that matter most. Prioritize encounters based on revenue integrity, quality indicators, defensibility, or any combination, so teams focus their efforts where they have the greatest impact, without overwhelming reviewers.

Continue our conversation

This page reflects ongoing discussions with HCA teams. If helpful, we’re happy to revisit priorities, walk through next steps, or support internal alignment.

Continue our conversation

This page reflects ongoing discussions with HCA teams. If helpful, we’re happy to revisit priorities, walk through next steps, or support internal alignment.

Continue our conversation

This page reflects ongoing discussions with HCA teams. If helpful, we’re happy to revisit priorities, walk through next steps, or support internal alignment.

AKASA is designed to work in real health system environments

Compatible with MEDITECH 

Supports Magic → Expanse transitions

Flexible pilots by market or division

Enterprise-ready from day one

Made for existing governance and IT constraints

No rip-and-replace or long-tail disruption

Learn more

Learn more

Learn more