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More than 540 abstracts submitted from over 50 countries


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PLENARY LECTURES AND VIP GUESTS
Samuel_Berger

Mr. Samuel Berger

Legal Data Science

Exposing Medical Malpractice By Utilizing Data Science Methodologies: The Case Of The Tragic Death Of Attorney At Law, Dr. Migen Dibra
Summit Plenary

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Abstract:

All medical malpractice revolves around collecting and analyzing data. That data can be in the form of SOAP Notes, scans, x-rays, lab reports, pharmacy records, FDA/Federal drug information, pharmaceutical company interviews, hospital records, toxicology information, legal requirements, medical standards and, of course, in the case of a death the autopsy.

All these pieces of data need to be scientifically analyzed to determine exactly what happened and when.  What was done and what should have been examined, treated and known.  It is a basic right to know when a case has been professionally treated or malpractice occurred, and in a rare case such as Dr. Migen Dibra, PhD in law (hereafter referred to as “Dr. Migen Dibra”), when evidence of murder is present. This publication presents how data science can solve complicated issues like medical malpractice and murder in a domain that seems very difficult with other means. Each data science method and means has been accompanied with what happened in the case of the death of the Attorney at Law, Dr. Migen Dibra at the Oncology Department of JGH Public Hospital in Montreal, QC, Canada.