EATONTOWN, N.J., June 12, 2017 /PRNewswire/ -- Artificial Medical Intelligence (AMI) today announced the release
The new completed HCC Coding Solution is built on the automatic generation of ICD10 codes and supporting demographic data for reimbursement which includes V22 HCC, the latest version from CMS.
HCC is a payment model mandated by the Centers for Medicare and Medicaid Services (CMS) in 1997. Implemented in 2003, this model identifies individuals with serious or chronic illness and assigns a risk factor score to the person. At present, there are more than 9000 ICD-10 codes that map to 79 HCC codes in the Risk Adjustment model.
AMI's unique HCC module is offered as an integrated and automated component of its EMscribe coding and clinical abstraction suite which is able to support the requirement of HCC code submission. EMscribe automatically generates the individual's health conditions using ICD10 diagnoses and demographic data directly extracted from the medical record and assigns the risk adjustment attributes to the case based upon a combination of the individual's health conditions and demographic details. An HCC score is then generated by the EMscribe system and is either displayed in AMI's Graphical User Interface or provided through an AMI's Application Protocol Interface.
"AMI continues to lead with its innovative technology designed to mitigate the constant stream of new and more difficult administrative pressures and requirements on the healthcare system", stated Stuart Covit, Chief Operating Officer. "We are focusing on providing Artificial Intelligence to abstract information from the medical record, so when new mandates like MACRA come up we can adjust our technologies to address the required data elements."
AMI will showcase this at Booth # 1940 at the upcoming HFMA (Healthcare Finance management Association) ANI conference, taking place from June 25th June 28th at the Orange County Convention Center in Orlando Florida.
AMI is a leading software developer of health technology solutions since its incorporation in 2002. Initially targeting medical coding with its proprietary Natural Language Processing solution, EMscribeŽ, AMI has continued to evolve to meet changing market needs with innovative AI data abstractions.
For more information, please contact:
Kerry FaganArtificial Medical IntelligenceTel: (908) 902-1825Email: firstname.lastname@example.org
To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/artificial-medical-intelligence-introduces-hierarchical-condition-category-abstraction-using-emscribe-artificial-intelligence-technology-300472519.html
SOURCE Artificial Medical Intelligence
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