AI Advisor
Research assistant helping revenue cycle teams find answers and documents faster
Company profile
Company profile
AKASA is the leading provider of generative AI solutions for the healthcare revenue cycle. The company leverages advanced generative AI trained on clinical and financial data to transform revenue cycle operations for health systems across the United States. AKASA's platform integrates deep revenue cycle management expertise with proprietary large language models customized for each health system, delivering faster speed-to-value, decreased cost-to-collect, and improved patient satisfaction. The company's flagship Prebill Optimization Suite unifies coding and clinical documentation improvement (CDI) to review 100% of inpatient encounters before billing, closing documentation gaps and ensuring accurate, compliant reimbursement. Additional solutions include the Coding Optimizer for surfacing missed coding opportunities and compliance risks, CDI Optimizer for documentation gap identification, AI Advisor as a research assistant for revenue cycle teams, and automated authorization and claim status checking tools. AKASA serves over 650 hospitals and 6,500+ outpatient facilities across all 50 states, representing clients with significant net patient revenue. The company's AI models are trained on millions of clinical documents and continuously learn from mid-cycle experts to deliver unmatched accuracy. AKASA's approach combines performance-based pricing with enterprise-grade security, maintaining HIPAA compliance, HITRUST certification, and SOC 2 certification. Notable clients include Cleveland Clinic, Montage Health, and Methodist Health System, with documented results including significant CMI gains, millions in revenue impact, decreased A/R days, and substantial efficiency improvements.
Company description AKASA official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas deployment with recorded integration context.
Recorded integration context: 3M, Cerner, Epic.
Company milestones
Cleveland Clinic deployment processing 100% of enterprise inpatient volume recognized by HIT Consultant. AKASA named among fastest growing generative AI startups. Client base represents 650+ hospitals and 6,500+ outpatient facilities with $0B total client net patient revenue. AI models trained on 0M+ clinical documents.
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Research assistant helping revenue cycle teams find answers and documents faster
Automated authorization status checking to reduce manual follow-ups
GenAI assistant to uncover documentation gaps for accurate patient documentation
Automated claim status tracking to reduce staff burden
GenAI-powered coding review to surface missed revenue and compliance risks
Unified platform reviewing 100% of inpatient encounters prebill with GenAI
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Frontiers in neurology · Jan 1, 2025
Insomnia and its treatments-trend analysis and publication profile of randomized clinical trials.Npj biological timing and sleep · Nov 1, 2024
2023 Guidelines on the Diagnosis and Treatment of Insomnia in Adults - Brazilian Sleep Association.Sleep science (Sao Paulo, Brazil) · Oct 1, 2023
Insomnia symptoms during the covid-19 pandemic: a case-control study.Revista de saude publica · Jan 1, 2023
Insomnia episodes, new-onset pharmacological treatments, and other sleep disturbances during the COVID-19 pandemic: a nationwide cross-sectional study in Brazilian health care professionals.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · Feb 1, 2022
COVID-19 pandemic is associated with increased sleep disturbances and mental health symptoms but not help-seeking: a cross-sectional nation-wide study.Sleep science (Sao Paulo, Brazil) · Jan 1, 2022
Clinical validation
NCT05295641 · Mentioned · COMPLETED
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Prebill Optimization Suite results
Prebill Optimization Suite results
Prebill Optimization Suite results
Montage Health case study
Montage Health case study
Methodist Health System case study
Methodist Health System case study
$1B NPR regional health system
$1B NPR regional health system
Coding optimization to identify missed revenue and quality metrics
0.0 overall CMI gain system-wide, $0.0M in potential annual revenue impact, found more coding opportunities compared to other solutions
Processing 100% of enterprise inpatient volume with GenAI for coding and CDI optimization
Processing 100% of Cleveland Clinic's enterprise inpatient volume, recognized as one of the most comprehensive real-world uses of GenAI in healthcare finance
Prebill optimization for inpatient encounters
$0.0M net new revenue per 10k discharges, $0K net revenue lift per confirmed opportunity, additional quality indicators per 10k discharges
Revenue cycle operations improvement and cost-to-collect reduction
$30M gross yield increase and 86% efficiency improvement
Holistic revenue cycle automation and optimization with continued improvement over time
13% decrease in A/R days and 300+ hours of staff time saved per month
05 · Leadership
Leadership profiles and professional links from the current Company record.
06 · Company updates
Recent articles published on AKASA's official website.
No Company updates are currently listed.
07 · HAIC coverage
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Curated official destinations from the active Company record.
09 · Market pathway
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Companies using AI to optimize hospital operations, automate administrative workflows, improve scheduling, manage healthcare resources, coordinate care delivery, or reduce operational inefficiencies. Includes prior authorization automation, credentialing, billing, care coordination, and AI tools that help health systems run more efficiently.
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Linked research, clinical, and regulatory source pathways.
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Record-level provenance and review context.