Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Wolters Kluwer Health Announces Integration of its Clinical Interface Terminology Solutions with Henry Schein MicroMD’s EMR Platform

“Google Translate for Clinician-Speak” Can Help Improve Clinical Documentation Accuracy with Smarter Problem and Diagnosis Search

Wolters Kluwer Health announced that Henry Schein MicroMD, a practice management and electronic medical record (EMR) solution, will be using Health Language Clinical Interface Terminology (CIT) to quickly map over a million medical abbreviations, typos, incomplete terms, and acronyms to standardized terminology. As a result, clinicians using MicroMD can easily search for diagnoses and procedure codes using their own day-to-day jargon with Wolters Kluwer Health Language Provider-Friendly Terminology (PFT).

Recommended AI News: Aisera Recognized as a Great Place to Work Company in 2020

“Unspecified diagnosis codes can have a significant financial impact for a medical practice. To avoid revenue loss, it’s critical that patient encounters be documented correctly at the point of care,” said Kristen Heffernan, General Manager at MicroMD, a Henry Schein company. “The integration of Wolters Kluwer’s provider-friendly terminology solutions can help enable clinicians to document more quickly and accurately, help reduce rejected claims, and help increase patient time with their providers.”

Related Posts
1 of 12,948

Health Language PFT is built upon tools that deliver a computer-processable collection of medical terms providing codes, terms, synonyms and definitions used in clinical documentation and reporting, such as ICD-10-CM, ICD-9-CM, and SNOMED CT. Sophisticated search algorithms convert a clinician’s problem or diagnosis search into a standard, compliant code using a continually updated array of related terms, including synonyms, misspellings, word order variants and partial words. For example, clinicians using MicroMD can search familiar clinical shorthand or jargon such as AFib, A-Fib, atrial fib, or AF and PFT will consistently provide the corresponding ICD or SNOMED CT codes for atrial fibrillation.

Recommended AI News: Insilico Enters Into a Collaboration With Aprinoia to Apply Novel Generative AI-Powered System to Discover Novel Compounds for Neurodegenerative Diseases

“Our technology solution uses more than 300,000 attributes to help clinicians navigate the complexities of ICD-10 and pinpoint appropriate codes,” said Karen Kobelski, Vice President and General Manager, Clinical Surveillance, Compliance & Data Solutions at Wolters Kluwer Health. “With just a few clicks, clinicians are able to narrow 1,000 ICD-10 codes down to the one they need using their own terms. This significantly improves the physician documentation experience and the accuracy of the revenue cycle.”

Recommended AI News: Boston Omaha Corporation Completes the Acquisition of Utah Broadband, LLC

Leave A Reply

Your email address will not be published.