Foundation AI helps the New York City Office of Chief Medical Examiner extract “meaningful insights” from its massive cache of data

Foundation AI is an Artificial Intelligence Solutions Provider. We help organizations process, manage, and leverage their unstructured data to automate labor-intensive tasks, make better data-driven decisions, and drive real business value.

The New York City Office of Chief Medical Examiner (OCME) serves the public health and criminal justice system through forensic science and responds to disasters in New York City as part of a multidisciplinary team of agencies. With approximately 600 employees working throughout the five boroughs of New York, OCME is the largest medical examiner’s office in the country. Its experts investigate approximately 8,500 deaths per year and test tens of thousands of items of evidence in its laboratories.


Goals

  • To build a tool to programmatically extract structured data from OCME’s massive cache of unstructured documents, including forensic investigative reports, autopsy reports, and genetic tests.

Approach

  • Foundation AI leveraged its Extract Vision and Extract Language Platforms to configure OCME a customized solution with intelligent OCR, natural language processing, and pattern recognition capabilities.

Results

  • The customized solution automatically parses structured data from unstructured documents (whether pdf, image, or MS Word files) and presents its findings through configurable dashboards that enable the OCME to identify trends and key insights to benefit the people of New York City.

Background

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As the largest medical examiner’s office in the United States, the OCME has amassed one of the world’s largest collections of forensic investigative reports—these documents include records of millions of autopsy reports, forensic reports, and genetic tests that have informed its conclusions over the years.

Challenge

OCME realized that its large cache of documents contains a wealth of information and that, by applying big data analytics and machine learning techniques, it might be able to leverage this information to uncover insights and trends that could benefit its population. Advanced analytics and AI, however, requires structured input data, and so OCME’s first challenge would be to extract structured data from its massive collection of unstructured documents. Because of their inconsistent structures, it would take an army of data entry technicians to read these millions of reports and key in the relevant fields before the data could be used to discover any meaningful insights.

Solution

Foundation AI leveraged its Extract Vision and Extract Language Platforms to configure OCME a customized solution with intelligent OCR, natural language processing, and pattern recognition capabilities. The solution automatically parses structured data from unstructured documents like autopsy reports, investigative reports, and forensic toxicology reports (whether pdf, image, or MS Word files).

The Solution includes a customizable user interface and configurable dashboards that enable the OCME to slice and dice, and drill down into the extracted structured data.

Results

Using Foundation AI’s solution, OCME can efficiently search and analyze the information previously locked away in its massive cache of documents.

"Foundation AI's tool will help us to derive the full benefit of our massive store of data, and uncover meaningful insights that will benefit the health and safety of the citizens of New York," says Naeem Ullah, Chief Information Officer at the OCME”.

Leveraging the Solution, OCME can now identify key factors, trends, and insights that will greatly impact forensic science and population health around the world.

If you are interested in deploying a solution built on our Extract Vision or Extract Language Platforms, contact us to see what Foundation AI can do for you.
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