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Thynk Health

thynkhealth.com

Market Segment: Healthcare Workflow Platform
Linkedin: Thynk Health LinkedIn Company Profile
Estimated Revenue: $10M
Estimated Employees: 11
Address: 381 East Main Street, Lexington KY
Description: The Thynk Health LDCT Module: The Thynk Health platform optimizes data-driven workflows and provides operational and clinical analytics for lung cancer screening programs and other quality initiatives. Thynk Health leverages artificial intelligence (ai) technologies to automate manual processes like data abstraction, data entry, patient communication, and ACR Lung Cancer Screening Registry submissions, allowing your clinical teams to focus on improving patient care navigation and patient outcomes. Identify & Screen More At-Risk Patients Accurately identify patients eligible for an initial or annual lung cancer screening with one click; allowing focus to be on the patients by freeing FTE time. Automate & Simplify Workflow Automatically populate all ACR Registry submission fields and deliver to the ACR with one click. Increase Program Effectiveness Provides incidental findings, missed appointment, over-due annual screening and over-due follow-up diagnostic management lists. Engage Patients & Providers Automated letter/postcard generation and mailing provides education, screening results and reminds patients of annual screening eligibility. Automated Pulmonary Nodule Tracking NODULE NAV With Thynk Health’s Nodule Nav, healthcare organizations can improve follow up care from 29% to 100% with automated tracking of patients within a healthcare organization’s lung cancer screening program. Thynk Health processes radiology reports, extracting number of nodules, nodule size, location, and nodule characteristics. Combined with patient age and history, this information is a significant predictor of lung cancer (research). The clinical team will be able to automatically track nodule changes within each appointment, flag nodules for follow-up, and recommend next steps. All of this is accomplished via artificial intelligence, allowing radiologists to keep traditional workflow in place and require no additional work.
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