Medicom Source Anonymized Clinical Information for OSIC Data

Medicom Technologies, Inc. (Medicom), creator of the first Federated Health Information Network, is partnering with the Open Source Imaging Consortium (OSIC) to further expand access to anonymized clinical data.

Medicom is helping OSIC continue to add anonymized, comprehensive data sets to its repository.

The two organizations recognize the value of data in strengthening and further advancing patient care, especially in the accuracy of image-based diagnostics, prognosis and prediction of response to therapy. Based upon the building blocks of Medicom ImageX, Medicom deepMed helps source anonymized clinical information for OSIC and many other life science organizations.

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OSIC – a 501(c)(3), not-for-profit cooperative effort between academia, industry and patient advocacy groups – was created to enable rapid, open-source advances in the detection and diagnosis of idiopathic pulmonary fibrosis (IPF) and other interstitial lung diseases (ILDs), through the use of digital imaging and machine learning. The OSIC Data Repository, launched in 2021, is the world’s largest and most diverse ILD database, with a commitment to date of more than 16,000 anonymized HRCT scans with accompanying clinical data that is both multi-ethnic and multi-center. Medicom is helping OSIC continue to add anonymized, comprehensive data sets to its repository.

In 2023, OSIC and Medicom plan to expand their commitment to research, machine learning, and AI initiatives that will benefit, above all, patients facing ILDs as well as other rare or cancerous diseases. For both, the upcoming year also holds a particular focus on expanding access to care for the Veteran Care Community, with OSIC striving to “help healthcare professionals build algorithms that will find answers and change lives.”

Medicom securely delivers large data sets with the capacity to automate de-identification of images, even when there is burned-in PHI. For AI, machine learning and research, these capabilities aid in identifying complex patterns within large datasets and mapping those patterns to simple classifications which may have been otherwise unidentifiable. Because of its access to the national network of diverse data and secure automation, Medicom deepMed is an important contributor to the OSIC Data Repository.

SOURCE: PR Newswire

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