Emerging Market Study

Autonomous Coding Solutions

Identified Data and Sources Cost: $500 (provider organizations) $2,400 (HIT software and consulting firms)

Autonomous coding solutions offer a solution to one of the greatest challenges of US healthcare—dollars meant for patient care instead go to administrative and billing costs.

HealthLuminate has pioneered advanced AI-driven search tools and algorithms, complemented by meticulous human expert reviews, to accurately identify healthcare IT solutions in use. As part of this innovative research technique, we found the following reported benefits for autonomous coding solutions:

Reduced manual labor: Health systems like Henry Ford Health and Mass General Brigham saw up to a 70% reduction in manual coding tasks.
Accelerated processing time: Systems like RapidClaims and Nym drastically sped up claims processing, with Nym coding charts in around 5 seconds and ApolloMD reducing coding turnaround to about 3 hours.
Reduced denial rates: CodaMetrix users, including Henry Ford Health and Mass General Brigham, reported denial reductions of 60-70%.
Decreased administrative burden: Systems like AKASA, RapidClaims, and MediMobile significantly reduced repetitive administrative tasks, freeing up staff to focus on patient care or more complex billing issues.
Revenue growth: Bon Secours Mercy Health realized up to 19% revenue growth using XpertDox’s AI-enabled medical coding.
Revenue recovery and leakage reduction: Centra Health (SparkChange) identified an additional $200M in revenue; Semantic Health helped Boston Children's Hospital identify over $2M in missed revenue; Arintra provided Mercyhealth with a 5.1% revenue uplift.
Cost savings: Mass General Brigham, Henry Ford Health, and others reduced coding costs by up to 60%, and Cedars-Sinai reduced the number of required FTE coders significantly.
Improved cash flow: CodaMetrix implementation accelerated cash collection by up to 5 weeks and improved cash collections by as many as 47 days (Henry Ford Health).
Enhanced job satisfaction: Coders at Henry Ford Health and Inova reported improved job satisfaction due to reduced repetitive tasks and increased opportunities for skill development.
Reduced burnout: AI automation, such as RapidClaims at CommonSpirit Health, reduced staff burnout by handling routine coding and administrative tasks.
Improved analytics and business intelligence: Solutions like XpertDox provided healthcare systems with real-time analytics to optimize revenue cycles and operational efficiency.

It should be noted that HealthLuminate did not interview live customers for these insights, but rather gathered insights from across case studies, news stories and other public reporting. We leave to organizations such as KLAS Research or Elion to interview clients and report on client feedback.

Inpatient Focus and Methodology

While nearly all of these companies have sold to and implemented their solutions in outpatient clinics and other care settings, this analysis only searched across inpatient health systems and hospitals. Success in an inpatient setting is a critical indicator of solution maturity.

This study included over 120,000 AI-powered web searches to identify 62 customers across 17 vendors (three vendors had no identified customers). This methodology obviously does not capture every contracted or live client, but it does provide a powerful insight into the traction of each vendor. Over 70 different variations of web searches were conducted for every health system or hospital in the country to identify the Autonomous coding solutions in place, making this report and data set a complete census of all public information about US hospital autonomous coding solutions.

Vendor Summaries

Jump to:

Solventum 360 Encompass Autonomous Coding
CodaMetrix
Nym
AKASA
MediMobile
Fathom
SparkChange
RapidClaims
Maverick Medical AI
XpertCoding
CorroHealth
Arintra
Semantic Health

Solventum 360 Encompass Autonomous Coding

The spin-off of the long-time coding powerhouse, 3M, Solventum already boasts enormous market share with their traditional 360 Encompass coding solution. Because of the large 360 Encompass install base, and because Solventum’s autonomous coding is being incorporated into 360 Encompass, it was difficult to identify customers truly using autonomous coding. A conservative approach was taken, only including organizations with evidence of true autonomous coding. Below are some of the success stories reported in public articles, press releases and interviews:

One federal healthcare agency implemented Solventum’s computer-assisted coding tools across its network, supporting automated coding workflows and improving administrative efficiency.
A health system used Solventum’s prioritization and ROI features to increase clinical documentation improvement (CDI) impact and provide individualized CDI scorecards to leadership.
One provider organization was able to move toward direct-to-bill without increasing FTEs, thanks to automated workflows and real-time clinical intelligence reporting.
A major hospital reported saving multiple full-time equivalents (FTEs) and improving billing turnaround time through Solventum’s autonomous coding solutions.
A customer using the Solventum cloud implementation noted 85% or more reduction in IT burden, along with stable or improved application performance post-divestiture.
Health systems reported that Solventum’s cloud application management enabled IT teams to focus on strategic initiatives by offloading infrastructure and process management to Solventum.
Providers noted that Solventum’s integrated solutions for coding, CDI, and auditing boosted coding accuracy, supported compliance, and reduced documentation burden for clinicians.
A revenue cycle leader role at one organization highlighted Solventum’s tools as essential to optimizing professional revenue cycle implementation, efficiency, and accuracy.

Customers Identified

Customers Sum of Total Beds

91,989

Customer Types

CodaMetrix

CodaMetrix’s install base includes the most very large health systems (5) of any vendor in this study, but also includes children’s hospitals and a small standalone hospital. Publicly reported success includes:

One organization reported a 60% reduction in coding costs after implementing autonomous coding with CodaMetrix.
A customer achieved a 70% reduction in claims denials, improving overall revenue cycle performance.
Customers noted a 5-week acceleration in time to cash, significantly boosting financial turnaround.
Multiple providers experienced successful automation rates above 96%, demonstrating high accuracy in AI-powered coding.
One organization described their go-live with CodaMetrix as the best implementation experience to date, with no surprises and no changes needed to their existing workflow.
A customer was able to expand coding automation to new specialties after success in one area, indicating strong cross-specialty adaptability.
One provider reduced expenses and freed coders to focus on complex cases, improving both efficiency and compliance.
Another customer reported that CodaMetrix provided a seamless transition and exceeded automation goals, prompting them to expand use across additional service lines.

Customers Identified

Customers Sum of Total Beds

20,423

Customer Types

Nym

Nym is well established with a wide variety of proof points, with multiple very large health system customers and a smaller hospital and children’s hospital. Customers reported the following successes:

One provider reported a denial rate of less than 1% out of over 27,000 claims coded by Nym during a two-month review, indicating exceptionally high coding accuracy.
A customer reported that Nym’s autonomous coding solution codes charts in approximately 5 seconds, dramatically reducing the time from discharge to coding.
Nym’s Clinical Language Understanding (CLU) engine was reported to achieve 98% coding accuracy, helping reduce human intervention and improve coding compliance.
One health system implemented Nym across all of its EDs and was able to automate coding for over 60% of ED visits, while maintaining internal accuracy standards.
A hospital implemented Nym to automate emergency department billing, enabling faster, more accurate billing, reducing administrative burdens, and improving payment cycles.
A revenue cycle department requested a multi-year agreement with Nym due to its ability to process charts autonomously and accurately, with plans to expand across service lines.
A customer described Nym’s implementation as scalable, with benefits including lower denial rates, greater revenue cycle efficiency, and enhanced analytical transparency.
One organization credited Nym with enabling clinicians and staff to focus more on patient care, due to administrative efficiency gains from coding automation.

Customers Identified

Customers Sum of Total Beds

16,726

Customer Types

AKASA

AKASA has an impressive breadth of installs, able to point to several very large anchor customers as well as partnerships with smaller community hospitals.

One customer saw a 10x increase in bookings after implementing a new AKASA product suite.
One organization reported that automation saved 300 staff hours per month, reduced A/R days by 13%, and lowered no-response work queue volumes by 60%.
A health system using AKASA’s authorization status check saw a 22% reduction in their Epic authorization work queue.
One provider organization was able to add new clinical services without increasing staffing, due to operational efficiencies from automation.
A customer noted that staff members shifted from repetitive tasks to higher-value work, with no layoffs following automation.
In a growing health system, automation helped maintain a low cost-to-collect even as patient volumes rose.
A rural provider used AKASA to offset workforce shortages and improve the patient financial experience.
One customer saw significant time savings, as staff no longer needed to manually check claim statuses or update their EHR systems—automated processes replaced time-consuming tasks.

Customers Identified

Customers Sum of Total Beds

9,943

Customer Types

MediMobile

MediMobile has at least 5 health system customers, two that are very large. These customers reported publicly the following outcomes:

One organization leveraged MediMobile’s platform to achieve precise charge capture and automated coding recommendations, driven by real-time patient data synchronization.
Customers using MediMobile’s AI coding saw significant reductions in coding errors and improved revenue capture, by accurately assigning CPT and ICD-10 codes from clinical documentation.
The platform’s seamless integration with leading EHR systems (including Epic) enabled high workflow efficiency across multiple hospital systems.
MediMobile’s data hub provided centralized access to patient data, supporting advanced analytics and reporting that improved billing accuracy, operational streamlining, and financial performance.
The platform was noted for enhancing service offerings for medical billing and RCM companies through real-time insurance updates and flexible integration with existing systems.

Customers Identified

Customers Sum of Total Beds

46,999

Customer Types

Fathom

HealthLuminate was able to find four customers for Fathom, including two larger anchor customers. Customer reported successes include:

One healthcare organization automated a large percentage of uncomplicated medical charts, significantly reducing reliance on human coders.
A provider using Fathom cut turnaround time to approximately three hours, enabling faster billing and operational flow.
Several customers were able to reallocate expert coders to focus on complex cases, improving efficiency and quality of coding.
One customer leveraged Fathom’s AI coding to help eliminate backlogs, reduce denials, and accelerate payments, as part of an advanced revenue cycle strategy.

Customers Identified

Customers Sum of Total Beds

7,867

Customer Types

SparkChange

SparkChange has four identified health system/hospital customers, including a large anchor health system. Customers publicly reported the following successes:

One organization reported a reduction in claim processing time from 20 days to just 5, significantly accelerating reimbursement cycles.
The same organization credited SparkChange with helping to generate an additional $200 million in revenue, improving both financial stability and service delivery to the community.
A provider emphasized that SparkChange’s deep EHR expertise (specifically with Cerner) unlocked previously inaccessible data and operational insights.
Another healthcare partner saw reduced manual effort and streamlined medical coding processes, especially valuable during volume surges in services like mammography.
The automation enabled more efficient resource allocation and billing speed, directly supporting higher operational efficiency and improved care delivery.

Customers Identified

Customers Sum of Total Beds

3,552

Customer Types

RapidClaims

RapidClaims has a single large anchor customer, a community health system and a smaller standalone hospital. Customers reported the following success stories:

One organization reported that RapidClaims helped automate administrative tasks, allowing staff to focus more on patient care, resulting in less burnout and increased efficiency.
A provider experienced faster, more accurate claims processing, reducing delays and ensuring compliance with payer requirements.
RapidClaims' platform helped identify and close revenue gaps in real-time, contributing to reduced revenue leakage.
Customers using RapidClaims cited it as a leading solution in AI-driven medical coding, enhancing overall revenue cycle performance.

Customers Identified

Customers Sum of Total Beds

18,310

Customer Types

Maverick Medical AI

Maverick Medical has a large health system anchor customer as well as a small hospital customer. These two customers reported the following successes:

One health system analyzed 1.5 million patient records using Maverick’s AI to identify co-morbidities, supporting improved clinical insights and potentially enhancing patient outcomes and reducing costs.
A major imaging provider reported successful automation of medical coding across nearly 400 sites, processing over 10 million reports with Maverick’s solution.
Customers using Maverick’s mCoder experienced improvements such as enhanced revenue cycle efficiency, reduction in billing errors, elimination of backlogs, and decreased administrative burden on clinical staff.
One organization conducted a year-long evaluation of multiple coding platforms and selected Maverick based on superior performance and integration capabilities.

Customers Identified

Customers Sum of Total Beds

4,774

Customer Types

XpertCoding

HealthLuminate has not seen evidence of XpertCoding growing among health systems beyond their single large anchor health system.

Customers Identified

Customers Sum of Total Beds

6,715

Customer Types

CorroHealth

HealthLuminate was only able to identify one health system customer for CorroHealth Autonomous Coding (CorroHealth has many other customers with other solutions), a health system with ~1,200 beds. This customer reported they were able to improve RAF Accuracy and unlocked $12M in Revenue.

Customers Identified

Customers Sum of Total Beds

1,165

Customer Types

Arintra

HealthLuminate was only able to identify one health system customer for Arintra, a community health system. This customer publicly reported being able to boost coding accuracy, improve efficiency, and support its growing patient volume.

Customers Identified

Customers Sum of Total Beds

734

Customer Types

Semantic Health

HealthLuminate only found one customer for Semantic Health—a well known children’s hospital. This customer reported they were able to identify $2M+ in missed annualized DRG opportunities in weeks and had their coding and CDI teams review results instantly in a streamlined dashboard.

Autonomous Coding Solutions

Inpatient Focus and Methodology

Vendor Summaries

Solventum 360 Encompass Autonomous Coding

Customers Identified

Customers Sum of Total Beds

Customer Types

CodaMetrix

Customers Identified

Customers Sum of Total Beds

Customer Types

Nym

Customers Identified

Customers Sum of Total Beds

Customer Types

AKASA

Customers Identified

Customers Sum of Total Beds

Customer Types

MediMobile

Customers Identified

Customers Sum of Total Beds

Customer Types

Fathom

Customers Identified

Customers Sum of Total Beds

Customer Types

SparkChange

Customers Identified

Customers Sum of Total Beds

Customer Types

RapidClaims

Customers Identified

Customers Sum of Total Beds

Customer Types

Maverick Medical AI

Customers Identified

Customers Sum of Total Beds

Customer Types

XpertCoding

Customers Identified

Customers Sum of Total Beds

Customer Types

CorroHealth

Customers Identified

Customers Sum of Total Beds

Customer Types

Arintra

Customers Identified

Customers Sum of Total Beds

Customer Types

Semantic Health

Customers Identified

Customers Sum of Total Beds

Customer Types

Vendors With No Identified Customers

About the Author

Taylor Davis

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