Categories: News

pareIT Launches the First Medicolegal Platform for Automated Medical Record Summaries

The platform offers the first and only AI solution for medicolegal lawyers, insurance companies & hospitals

LOS ANGELES , June 1, 2022 /PRNewswire/ — pareIT, an automated medical record analysis company, today announced the official launch of its platform. pareIT’s patent-pending artificial intelligence and machine learning models have been trained on more than a million medicolegal data points, allowing for automatic analysis of medical cases files. The platform, powered by Amazon Web Services (AWS) and leveraging Amazon Comprehend Medical, is set to disrupt the medicolegal industry through providing a solution that automatically categorizes medicolegal case files, and analyzes medical case files, including, removing duplicative and void documents, placing files into a chronological timeline, and extracting diagnoses, prognoses, treatment recommendations, medical history, and hand-written records.

Traditionally, the process of medical record summaries is performed manually by in-house legal staff or outsourced medical practitioners, taking days to complete, and depending on the case size, can cost thousands of dollars. pareIT, on the other hand, can analyze a thousand pages within as little as two hours, and costs about a third of the price typically charged for such services. The platform is specialized for the medicolegal industry, including personal injury claims, medical malpractice, criminal cases, and worker’s compensation.

“As one of the most retained biomechanics experts in the country, I recognized and dealt with the inefficient and costly process of medical record analyses for the better part of a decade,” said Dr. Rami Hashish, Founder of pareIT. “I am happy to announce the official launch of pareIT, which will set new technological standards for our industry, and help professionals reduce mistakes, while saving time and money on medical record analyses.”

pareIT achieves similar accuracy metrics to manual medical record summaries, but with the use of AI, will continue to increase in accuracy and speed overtime.  

More information on pareIT is available at pareIT.com.

About pareIT
pareIT uses proprietary artificial intelligence and machine learning algorithms to sort legal case files and summarize medical records – a process typically performed manually by in-house legal staff or outsourced medical practitioners. pareIT has been trained on over a million data points, allowing for automated analyses performed at 10x the speed for a third of the cost, improving efficiency for medicolegal lawyers, insurance companies & hospitals. pareIT stands as the only technological solution to a 50-billion-dollar industry. With the use of AI, pareIT will continue to improve overtime, continuously resetting the bar for accuracy and efficiency. To learn more, visit  pareit.com.

View original content to download multimedia:https://www.prnewswire.com/news-releases/pareit-launches-the-first-medicolegal-platform-for-automated-medical-record-summaries-301558602.html

SOURCE pareIT

Staff

Recent Posts

Health Care AI Initiative Launched by Paragon Health Institute

New initiative will promote AI policies and solutions to transform American health careWASHINGTON, Jan. 12,…

48 minutes ago

Amphastar Pharmaceuticals Announces Exclusive License Agreement with Nanjing Hanxin Pharmaceutical Technology Co., Ltd. for Fully Synthetic Corticotropin Compound

Agreement expands Amphastar's proprietary peptide pipeline into broader inflammatory and autoimmune conditions RANCHO CUCAMONGA, CA…

49 minutes ago

CelLBxHealth PLC Announces Board Changes

GUILDFORD, SURREY / ACCESS Newswire / January 12, 2026 / CelLBxHealth plc (AIM:CLBX), a leader…

4 hours ago

Cosmo Enters Scale Up Phase with 104M Revenue, 128M Cash, and Breakout AI and Dermatology Platforms

Ad hoc announcement pursuant to Art. 53 LR 2025 marks a key execution year in…

5 hours ago

Pre-JPM Investor Pulse Signals 2026 Capital Rotation Toward “AI That Ships,” Admin Cost Takeout, and Differentiated Metabolic Assets With Special-Situations Capital Back in Scope

Preliminary, directional read of planned 88-investor sample indicates heightened proof thresholds (unit economics, reimbursement, outcomes)…

19 hours ago