Clinical Language Understanding (CLU) Technology
Rules-based AI technology for accurate medical code assignment with transparent audit trails
Company profile
Company profile
Nym is a healthcare AI company that transforms revenue cycle operations for health systems and physician groups through multispecialty autonomous medical coding. The company's proprietary engine uses Clinical Language Understanding (CLU) technology and a rules-based approach to decipher clinical language in patient charts and assign medical codes in seconds with unprecedented accuracy and zero human intervention. Nym's autonomous coding engine fits seamlessly into existing coding workflows, running in the background to take a first pass at coding patient encounters and routing successfully coded encounters to billing automatically. The platform consistently maintains over 95 percent coding accuracy, produces fully transparent audit trails for every code assigned, and is automatically updated as soon as new coding guidelines are released. Nym serves health systems and physician groups, helping them reduce medical coding costs, accelerate time-to-bill, improve revenue capture, and support medical coding teams. The company is trusted by over 30 health systems and physician groups, including leading organizations such as Inova, Ochsner Health, Geisinger, Intermountain Health, and OSU Physicians. Nym's solution addresses critical challenges in healthcare revenue cycle management including staffing shortages, expensive coding practices, and delayed payment cycles.
Company description Nym official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas · Embedded deployment with recorded integration context.
Company milestones
Trusted by 30+ health systems and physician groups. Successful implementations at Inova (Northern Virginia), Ochsner Health, Geisinger, Intermountain Health, and OSU Physicians. Featured in AHIMA documentary series.
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Rules-based AI technology for accurate medical code assignment with transparent audit trails
AI-powered autonomous medical coding with 95%+ accuracy and zero human intervention
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
Environmental science. Processes & impacts · May 27, 2026
Optical and geometric property classification of natural aerosol types with a large open chamber system and multi-wavelength elastic polarized LiDAR.Environmental pollution (Barking, Essex : 1987) · May 1, 2025
Implications of posttraumatic growth for the treatment of comorbid substance abuse among survivors of traumatic experiences.Journal of substance abuse treatment · Jul 1, 2021
Help-seeking from indigenous healers among persons of African ancestry in the United States: Ethnic and racial disparities in mental and physical health.Complementary therapies in medicine · Aug 1, 2019
Climate change effect on outdoor ambiences in Iranian cities.Environmental monitoring and assessment · Mar 1, 2014
Exercise associated hyponatraemia leading to tonic-clonic seizure.BMJ case reports · Aug 27, 2012
Clinical validation
No linked records are currently available.
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Consistently maintained across implementations
As stated by Geisinger CFO
For successfully coded encounters
Automating medical coding processes that previously took days and teams of people
Fully automated with unprecedented accuracy in just seconds
Transforming emergency department medical coding to eliminate staffing challenges, expensive coding practices, and delayed payment cycles across multiple ED facilities
Maintained ED coding accuracy while improving efficiency, created opportunities for coders to expand skills, enhanced work-life balance for entire ED team
Transforming emergency department medical coding to eliminate staffing challenges, expensive coding practices, and delayed payment cycles across multiple ED facilities
Maintained ED coding accuracy while improving efficiency, created opportunities for coders to expand skills, enhanced work-life balance for entire ED team
Implementation of autonomous coding with focus on the people side of the transition
Automating coding for medical billing in emergency departments to simplify complexity and build capacity for future needs including resourcing, dynamic workflows and rapidly growing visit volumes
Implementation of autonomous coding with focus on HIM and coding leader transition
05 · Leadership
Leadership profiles and professional links from the current Company record.
Dr. Melissa Koehler
AVP of Health Information Management, Inova
Lori M. Jones
Chief Executive Officer
Julien Dubuis
Chief Commercial Officer
Vicki Kaplan
Vice President, Coding and HIM, Ochsner Health
Kevin Roberts
EVP & CFO, Geisinger
Mila Litrovnik
Chief Financial Officer
Angie Williams
SVP of Product Strategy & Customer Operations
Yaniv Shachar
SVP of Research and Development
06 · Company updates
Recent articles published on Nym's official website.
07 · HAIC coverage
Health AI Central reporting that mentions this Company.
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08 · Official presence
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09 · Market pathway
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Market context
Companies that use AI to automate clinical documentation, generate medical notes from patient-clinician conversations, or streamline clinical workflows. Includes ambient AI scribes, voice-to-text medical documentation, NLP-powered clinical note generation, and tools that reduce administrative burden on clinicians.
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