Med About Data Hackathon. Saving Lives Using Big Data.

Event, Synthetic Data

  

For the first time in Israel history, start-ups in the field of digital health have access to 250,000 medical files in order to develop algorithms for early detection and diagnosis of diseases, using Maccabi and Rambam databases, as well as real-time queries.

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The winning team, CeliAct, has developed a system that scans huge databases of medical records and provides alerts on patients with high probability of celiacs disease. The Technion, ii2020 led by Erel Margalit, Maccabi Health Services and Rambam Health Care Campus held an extraordinary hackathon event in Haifa, Israel: 120 entrepreneurs from the digital health field received access to a database of 250,000 medical records to develop tools and algorithms for the early identification and diagnosis of disease. The unique process was made possible by MDClone Platform which created a synaptic approach to the database allowing for important discovery correlations without compromising patient privacy.

As a result, dozens of start-ups from Israel and the United States chose to participate in the hackathon. Dozens of start-ups, entrepreneurs, and doctors from Israel and the United States chose to participate in the challenges posed by two of the world’s largest pharma companies – Teva and AstraZeneca.

The teams developed an algorithm to help diagnose early celiac disease, heart or kidney failure in diabetics without proven heart disease as well as finding groundbreaking uses for the vast digital knowledge collected in health organizations. This vast database of medical data has collected information on 98% of the Israeli population over the past 20 years.

This is the first attempt to derive innovative medical knowledge from the databases collected by different health organizations. The government also see healthcare innovation as a strategic goal for the country, and recently announced the launch of a national plan to invest NIS 1 billion in digital health projects over the next five years.

The CeliAct group won first place, which developed a system that scans huge databases of medical records and provides alerts on patients with high probability of celiac, which have not been diagnosed in the past.

The development, based on artificial intelligence algorithms combined with an innovative user interface, provides the physician with relevant information in a convenient and informative manner. The representatives of the winning group will present their discovery and development of health systems in Israel and abroad.

 

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