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Computer Assisted Coding Market Likely to Emerge over a Period of 2018-2026


Computer Assisted Coding Market Likely to Emerge over a Period of 2018-2026
Report includes market status and forecast of global and major regions, with introduction of vendors, regions, product types and end industries; and this report counts product types and end industries in global and major regions.
BriefingWire.com, 5/19/2021 -
Global Computer Assisted Coding Market was valued US$2.76 Bn in 2017 and is estimated to reach US$6.96 Bn by 2026 at a CAGR of more than 12.26% during a forecast period.
Global Computer Assisted Coding Market is segmented by Product & Service, by Mode of Delivery, by Application, by End User and by Region. ....

United States , Asia Pacific , Optum Inc , Precyse Solutions , Product Service , M Company , Mckesson Corporation , Artificial Medical Intelligence Inc , Dolbey Systems Inc , Cerner Corporation , Nuance Communications Inc , Quadramed Affinity Corporation , Assisted Coding Market Likely , Computer Assisted Coding Market , End User , Assisted Coding Market , Automated Encoding , Clinical Coding Audit , North America , Middle East , Computer Assisted Coding , For Report Description , Press Release , Press Releases , Ree Press Release , Ree Press Releases ,

Artificial Medical Intelligence Announces the Automated Determination of SOFA Scores Extracted from Existing Clinical Documentation Allowing Unbiased Analysis of Critical Care Outcomes


Artificial Medical Intelligence Announces the Automated Determination of SOFA Scores Extracted from Existing Clinical Documentation Allowing Unbiased Analysis of Critical Care Outcomes
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MARLBORO, N.J., Jan. 6, 2021 /PRNewswire/  Artificial Medical Intelligence (AMI) today announced their ability to automatically generate an ongoing SOFA score in real-time from existing clinical documentation utilizing the audit module of the company s proprietary, EMscribe® Artificial Intelligence -Computer Assisted Coding (CAC) platform.
(PRNewsfoto/Artificial Medical Intelligence)
There is now an automated tool that can at least aid the clinician in making these impossibly difficult decisions.
The Sequential Organ Failure Assessment (SOFA) score has been used clinically for years to help predict clinical outcomes for critically ill patients in the Intensive Care Unit setting.  Using inpatient records compris ....

United States , New Jersey , Kerry Fagan , Andrewb Covit , Artificial Medical Intelligence Inc , Health Information Management , Robotic Computer Automated Coding , Graphical User , Artificial Medical Intelligence , Artificial Intelligence , Natural Language Processing , Health Information , Hospital Acquired Condition , ஒன்றுபட்டது மாநிலங்களில் , புதியது ஜெர்சி , கெர்ரி ஃபாகன் , செயற்கை மருத்துவ உளவுத்துறை இன்க் , ஆரோக்கியம் தகவல் மேலாண்மை , ரோபோடிக் கணினி தானியங்கி குறியீட்டு முறை , செயற்கை மருத்துவ உளவுத்துறை , செயற்கை உளவுத்துறை , இயற்கை மொழி ப்ரோஸெஸிஂக் , ஆரோக்கியம் தகவல் , மருத்துவமனை வாங்கியது நிலை ,