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The AIA Annual Scientific Meeting in 2021 will examine machine learning tools for COVID-19 Patient Screening and Improved Lab Test Management

The AIA Annual Scientific Meeting in 2021 will examine machine learning tools for COVID-19 Patient Screening and Improved Lab Test Management

Scientists have developed a machine learning tool to assist healthcare workers in detecting and directing the flow of COVID-19 patients arriving at hospitals, ATLANTA, Sept. 27, 2021 /PRNewswire/ -- A new machinelearning tool may be used to aid healthcare professionals in the era of rapid screening and directing the circulation of disease-19 individuals arriving in hospitals. At the 2021 AACC Annual Scientific Meeting & Clinical Lab Expo, on November 16, 2018, the AAC Annual Meeting and Clinical Labor Expo presented its results from an evaluation of this algorithm, as well as an artificial intelligence approach that improves test utilization and reimbursement.

Streamlining COVID-19 Patients' Hospital Admission by reducing the risk of getting sick in a hospital.

When patients reach hospitals, it is vital for clinicians to quickly diagnose COVID-19 patients, stifling them and distinguishing them from other vulnerable patients who may be immunocompromised or have pre-existing medical conditions. This may be difficult, however, since COVID-19 presents many symptoms with other viral infections, and the most accurate PCR-based tests for COVD19 may take several days to produce results.

As a result, ten researchers from Rana Zeeshan Haider, PhD, and Tahir Sultan Shamsi, RCP, of the National Institute of Blood Disease in Karachi, Pakistan, have developed ostracized machine learning algorithms to assist healthcare workers in detecting incoming COVID-19 patients efficiently. The scientists employed a number of statistical techniques to develop this algorithm, which is based on sexicometric and demographic data from records of 21,672 patients presenting at hospitals. During validation experiments, the model performed with an accuracy of up to 95.2 percent when tested with a single dataset and showed 96.9% negative predictive value. The latter implies that the technique is particularly reliable when identifying patients who don't have COVID-19.

"Whereas it isn't useful, the true negative labeling efficiency of our research advocates its utility as a screening test for rapid expulsion of SARS-CoV-2 from emergency departments, assisting prompt care decisions, managing patient-case flow, and fulfilling the role of 'pre-test' regarding orderly RT-PCR testing," Haider added. "We propose this test to address the issue of critical diagnostic needs in resource-constrained settings where molecular testing is not under the flag of routine testing panels."

Optimizing lab test selection and reimbursement for optimum results

At least 20% of the 5 billion lab orders submitted each year are considered inadequacies. These incorrect tests can lead to patients having shorter or worse diagnoses. Such tests may not be covered by Medicare if they weren't meant to be used for specific medical conditions or unless they were ordered with the incorrect ICD-10 diagnostic codes, which increases health costs.

Patients Choice Laboratories in Indianapolis, Dr. Rojeet Shrestha, PhD, collaborated with colleagues to see if an automated test management system known as the Laboratory Decision System (LDS) might help improve test ordering. The LDS assesses potential tests based on medical necessity and testing indications, assisting providers in minimizing test misuse and selecting the finest tests for a specific medical condition.

The researchers re-evaluated a total of 374,423 test orders from interdisciplinary laboratory utilizing LDS, which was 48,049 of which had not fulfilled Medicare criteria. The LDS ranking system recommended alternative tests that better matched the medical necessity or had a more appropriate ICD-10 code for 96.4% of the first 10,000 test claims. 80.5% of these recommendations would also meet Medicare policies. All of this indicates that the LDS might assist in correcting incorrect or incorrect lab orders.

"Our study concludes that using the automated test ordering system LDS would be extremely beneficial to providers, laboratories, and payers," Shrestha added. "With this algorithm-based testing selection and ordering database, which rates and scores possible tests for any given disease based on clinical relevance, medical necessity, and testing indication, providers would eventually be able to select and order the appropriate test and reduce over- and under-utilization of tests."

Information in the Abstract Members of the media can register for the AACC Annual Scientific Meeting for free. Reporters may register online here: https://www.xpressreg.net/register/aacc0921/media/landing.asp

Abstract A-226: Machine-learning based decipherment of cell population data; a promising hospital front-door screening tool for COVID-19 will be presented during:

Student Poster PresentationMonday, September 279 a.m. 5 p.M. Student BriefingMonnight, Sept 229 h. Session of Scientific Poster Seskasion

B-011: Use of artificial intelligence to improve test utilization and reimbursement will be shown during: 1:30 a.m. to 2:30 p.M. Tuesday, September 289:30 s. - 5 d. (presenting author in attendance from 3:30 7:30 c.s)

Scientific Poster Session on September 29th, September 29,9:30 a.m. - 5 p.M. (presenting author in attendance from 1:30 2:30 h.)

All sessions will take place in the Poster Hall, which is located in Exhibit Hall C of the Georgia World Congress Center in Atlanta.

About the AACC Annual Scientific Meeting & Clinical Lab Expo, 2021 From September 26-30, the AACC Annual Scientific Meeting offers five days packed with opportunities to learn about exciting science. Plenary sessions address COVID-19 vaccines and virus evolution, research lessons learned from the epidemic, artificial intelligence in the clinic, miniaturization of diagnostic platforms, and improvements to cystic fibrosis treatment options.

More than 400 exhibitors will display the latest diagnostic technology, including COVID-19 testing, artificial intelligence, mobile health, molecular diagnostics, mass spectrometry, point-of-care, and automation, at the AACC Clinical Lab Expo. The show floor of the Georgia World Congress Center in Atlanta will be filled with displays of, but not limited to COVID-19 tests, robotic intelligence; mobile healthcare; molescular diagnoss; mass-spectromtry; point of-service; and automated.

About AACC About a AACC focuses on clinical chemistry, molecular diagnostics, mass spectrometry, translational medicine, lab management, and other fields of advancement laboratory science, with more than 50,000 clinical laboratory professionals, physicians, research scientists,, or business leaders from all around the world. AACC has worked hard since 1948 to advance the common interests of the field, providing programs that promote scientific collaboration, knowledge, expertise, and innovation. Visit the website for additional information. www.aacc.org www for www aAcc. . - )

Christine DeLongAACCSenior Manager, Communications & PR(p) 202.835.8722 Christine deLangAACSENiOR Manager of Communications, PR (p). 202.635,8721 ChristineDeLlongAAAccSdenioral Manager (P) [email protected] [imail protection]

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