A review of the extensive program schedule for the Health Information and Management Systems Society (HIMSS) Global Conference and Exhibition, HIMSS 2023, being held April 17-21 in Chicago, makes it clear that artificial intelligence (AI) and Natural Language Processing (NLP) are poised to play an increasingly large role in healthcare moving forward. Photo credit: Getty Images.
April 17, 2023 — A review of the extensive program schedule for the Health Information and Management Systems Society (HIMSS) Global Conference and Exhibition, HIMSS 2023, being held April 17-21 in Chicago, makes it clear that artificial intelligence (AI) and Natural Language Processing (NLP) are poised to play an increasingly large role in healthcare moving forward.
Among a long list of such companies focused in that arena is KAID Health, an AI-powered healthcare data analysis and provider engagement platform. The Boston, MA-based company has announced multiple sessions to demonstrate its industry-leading Clinical Natural Language Understanding (cNLU) technology at HIMSS 2023. KAID Health CEO Kevin Agatstein will join Jeffrey Lowenkron, MD, MPP, CFO of The Villages Health, and Rodney Gabriel, MD, University of California San Diego, to detail how Natural Language Processing is improving profitability and patient outcomes while reducing clinician workload. Gabriel is Chief of the Division of Regional Anesthesia, Clinical Director of Anesthesiology at the Koman Family Outpatient Pavilion ambulatory surgery center, and Director of the Division of Perioperative Informatics.
During three different sessions, Agatstein will showcase how the company’s partnerships with The Villages Health (TVH) and UC San Diego Health (UCSD) help these already high-performing providers be more efficient and effective. In addition, KAID Health team members will showcase its Whole Chart Analysis and NLITE (Natural Language Insight & Term Extraction) technology in the HIMSS booth #6009-17 at the Innovation Hub/Startup Park during the event.
“KAID Health is proud to highlight our work on the HIMSS stage with The Villages Health and UC San Diego Health — allowing each of these organizations to provide high-quality, lower-cost, and/or more appropriately reimbursed care,” shared Kevin Agatstein, CEO of KAID Health in a statement issued by the company. He added, “Our mission remains the same in Florida, California, and everywhere in between. KAID Health ensures that all patient data, including unstructured notes, drives the right actions at the point of care. Whether paid fee-for-service, capitated, or anything in between, Whole Chart Analysis and NLITE can improve revenue capture, make costly providers more efficient, and drive better care delivery.”
“Natural Language Understanding for Value-based Care (VBC): Uncover Revenue and Disease Burdens” — with Kevin Agatstein and Dr. Lowenkron on Tuesday, April 18, from 12:30 – 1:00 p.m. (CT) at the McCormick Center, South Building S104. They will detail how TVH, a 75-physician multi-specialty group in Central Florida, operating under value-based care (VBC) model (full-risk capitation), was able to identify previously hard-to-access clinical attributes buried in their electronic medical record (EMR) in at least 15% of its senior patient population. In addition to better care, this generated $2.5M in net new revenue from improved coding.
“Building America’s Healthiest Hometown with Natural Language Processing” — with Kevin Agatstein and Dr. Lowenkron on Wednesday, April 19, at 9:45 a.m. (CT) at the Innovation Hub Stage, Tradeshow floor. They will detail how TVH captures patient attributes from their structured EMR data and unstructured medical notes at scale. By solving critical technical, clinical, and workflow challenges, The Villages Health with KAID Health demonstrates how health systems today have already realized the promise of NLP to improve hierarchical condition category (HCC) coding and quality score in tandem.
Doctor vs. AI: Clinical Natural Language Processing for Preoperative Care — Join Kevin Agatstein and Dr. Gabriel, on Thursday, April 20, from 3:00-3:30 p.m. (CT) at the McCormick Center, South Building S104. They will cover peer-reviewed research, “Doctor vs. AI,” that was led by Dr. Gabriel at UCSD’s Department of Anesthesiology, Division of Perioperative Informatics. This session will detail how KAID Health’s natural language processing (NLP) engine significantly aligned with the clinician reviewers in completing a preoperative checklist and identified 16.6% of instances where the anesthesiologist did not find the presence or absence of a specific condition. The most common conditions the NLP pipeline captured that the anesthesiologist did not include cardiac arrhythmias, angina, anticoagulation, and neuromuscular disease.
A Boston, MA-based company, KAID Health was founded by a veteran team of healthcare information technology and population health innovators. The company makes care delivery more efficient, effective, and profitable for providers and their payers and Accountable Care Organization partners. Its Whole Chart Analysis platform extracts all relevant data from electronic medical records, including structured data and text, using artificial intelligence and natural language processing. The solution identifies the patient care interventions needed for providers to achieve their clinical, financial, or operational objectives. In parallel, according to a company statement, KAID Health extends to payers a comprehensive view of members’ health by combining claims and EMR data. KAID Health’s technology is used by leading providers, health systems, academic medical centers, and payers to automate a variety of workflows, including coding accuracy, quality measurement, prior authorization support, and pre-operative assessment.
For more information: www.kaidhealth.com
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