Enterprise Incidental Findings Tracker

Automation, Tracking, and Managment of Incidental Findings

Thynk Health has been partnering with major healthcare systems to grow and improve its lung cancer screening and nodule tracking programs since 2015 and has expanded its advanced artificial intelligence (AI) techniques to a broad range of modalities. Now healthcare systems are able to apply the same automated tracking and management of incidental findings to the above modalities.

Automatically Identify & Track Incidental Findings

SIZE

LOCATION

CHARACTERISTICS

CHANGES

Utilizing state-of-the-art AI and deep learning algorithms, Thynk Health extracts data from imaging reports and automatically tracks size, location, characteristics, changes, and other critical data. This actionable data is presented to caregivers with interactive, efficient dashboards. The Thynk Insights analytics platform brings this data to life with customized reporting helping improve quality, efficiency, and outcomes in all areas of cancer care.

Incidental Findings Tracker

The newly released, Enterprise Incidental Findings Tracker empowers clinical teams to:

Thynk Health’s Enterprise Incidental Findings Tracker seamlessly and securely integrates with the health system’s EHR,  transforming incidental findings management from a manual, unreliable process to a fully automated management solution. Clinical teams are enabled to focus on patient care and outcomes rather than data entry.

In the United States, approximately 1.9 million new cancer cases are expected to be diagnosed in 2021 alone.

While healthcare systems offer some of the most advanced treatments for cancer in the world, clinical teams struggle to manually identify, track and manage incidental findings by scouring reports and utilizing cumbersome spreadsheets, resulting in patients slipping through the cracks. 

Thynk Health’s Enterprise Incidental Findings Tracker seamlessly and securely integrates with the health system’s EHR,  transforming incidental findings management from a manual, unreliable process to a fully automated management solution. Clinical teams are enabled to focus on patient care and outcomes rather than data entry.

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