Qatalyst Health

About Qatalyst Health

Qatalyst Health's ROSA platform uses AI to automate revenue cycle management for long-term care facilities. It streamlines admissions by triaging referrals and ensures accurate reimbursement by automatically populating forms with data from patient charts and progress notes.

<problem> Long-term care facilities face challenges in optimizing patient census and ensuring accurate reimbursement for all provided services. Manual review of referrals and fragmented data across systems leads to missed billable opportunities and administrative inefficiencies. </problem> <solution> Qatalyst Health's ROSA platform is an AI-driven solution designed to enhance revenue cycle management for long-term care facilities. It automates the triaging of hospital referrals, prioritizing candidates based on clinical and financial indicators to streamline the admissions process. ROSA integrates with existing EHR systems to automatically populate reimbursement forms by analyzing patient charts, progress notes, and discharge summaries, ensuring all billable services are captured. The platform also provides intelligent notifications for changes in patient care, triggering instant updates to reimbursement forms. This comprehensive approach aims to maximize captured revenue and reduce administrative overhead for reimbursement teams. </solution> <features> - AI-powered referral triaging and ranking based on medication costs, behavioral risk, and other clinical factors. - Automated scrubbing of EHR data (discharge summaries, care charts, progress notes) for reimbursement form population. - Intelligent notifications for patient care updates, triggering automatic reimbursement form adjustments. - Centralized repository for Medicaid and Medicare reimbursement forms with an audit log for every item. - Medication analysis to identify billable services and flag discrepancies with diagnoses. - Dictation functionality for progress notes with high accuracy and reference to historical documentation. - EHR integration for seamless data flow and automated form completion. - AI model accuracy rate of 99.3% for identifying diagnoses, billable services, behavioral markers, and medications. </features> <target_audience> The primary customers are long-term care facilities seeking to optimize their admissions process and maximize revenue capture through improved reimbursement accuracy and efficiency. </target_audience> <revenue_model> Qatalyst Health offers flexible pricing models based on facility size and specific needs, requiring potential customers to contact their sales team for a customized quote. </revenue_model>

What does Qatalyst Health do?

Qatalyst Health's ROSA platform uses AI to automate revenue cycle management for long-term care facilities. It streamlines admissions by triaging referrals and ensures accurate reimbursement by automatically populating forms with data from patient charts and progress notes.

Employees
6 employees

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Qatalyst Health

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Executive Summary

Qatalyst Health's ROSA platform uses AI to automate revenue cycle management for long-term care facilities. It streamlines admissions by triaging referrals and ensures accurate reimbursement by automatically populating forms with data from patient charts and progress notes.

Funding

No funding information available.

Team (5+)

No team information available.

Company Description

Problem

Long-term care facilities face challenges in optimizing patient census and ensuring accurate reimbursement for all provided services. Manual review of referrals and fragmented data across systems leads to missed billable opportunities and administrative inefficiencies.

Solution

Qatalyst Health's ROSA platform is an AI-driven solution designed to enhance revenue cycle management for long-term care facilities. It automates the triaging of hospital referrals, prioritizing candidates based on clinical and financial indicators to streamline the admissions process. ROSA integrates with existing EHR systems to automatically populate reimbursement forms by analyzing patient charts, progress notes, and discharge summaries, ensuring all billable services are captured. The platform also provides intelligent notifications for changes in patient care, triggering instant updates to reimbursement forms. This comprehensive approach aims to maximize captured revenue and reduce administrative overhead for reimbursement teams.

Features

AI-powered referral triaging and ranking based on medication costs, behavioral risk, and other clinical factors.

Automated scrubbing of EHR data (discharge summaries, care charts, progress notes) for reimbursement form population.

Intelligent notifications for patient care updates, triggering automatic reimbursement form adjustments.

Centralized repository for Medicaid and Medicare reimbursement forms with an audit log for every item.

Medication analysis to identify billable services and flag discrepancies with diagnoses.

Dictation functionality for progress notes with high accuracy and reference to historical documentation.

EHR integration for seamless data flow and automated form completion.

AI model accuracy rate of 99.3% for identifying diagnoses, billable services, behavioral markers, and medications.

Target Audience

The primary customers are long-term care facilities seeking to optimize their admissions process and maximize revenue capture through improved reimbursement accuracy and efficiency.

Revenue Model

Qatalyst Health offers flexible pricing models based on facility size and specific needs, requiring potential customers to contact their sales team for a customized quote.

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