In 2015, a team of radiologists acted on their frustrations with the inefficiencies surrounding lung cancer screening. Practicing in a geographical area experiencing some of the highest rates of lung cancer in the nation, they were seeing lives cut short too often due to a lack of data management. The manual, human entry of patient data was taking too long and was prone to error resulting in inaccurate and incomplete information. This caused, among other things, at-risk, eligible patients to go unscreened simply because there was not enough capacity or they had fallen through the cracks of a complex and overburdened system.
One major issue the team focused on was correcting the process of lung cancer screening programs data quality and reporting, which often required staffing several people to manually read patient records from disparate sources and re-enter it into data registries. This process was so time-consuming, that patient follow ups and addressing incidental findings were being neglected. They knew they would need to completely automate the data abstraction process so that healthcare professionals could focus on patient care and outcomes rather than on databases.
As a result, they partnered with a team of engineers and began working on structured reporting using natural language processing technology. Realizing how difficult it can be to change a process, they focused on extracting and analyzing data being input into existing workflows that providers are comfortable with.
Today, the Thynk Health platform uses natural language processing and artificial intelligence to automate the data entry and data collection processes thus improving the efficiency and effectiveness of lung cancer screening programs at hospital systems around the nation, helping more hospitals screen, diagnose and treat more at-risk patients.
Joey Bargo, M.D.
Dr. Joey Bargo brings more than a decade of experience in clinical informatics as a formally trained and practicing radiologist. His work with large healthcare systems and statewide organizations involving data usage to increase performance and predictive analytics, has helped curb healthcare costs while improving patient outcomes. Dr. Bargo’s first-hand experience with the data conundrum facing hospitals, has made him a major advocate for software solutions that can decrease the burden of manual data management while providing improved analytics and automation to drive better patient care and outcomes.
Kevin Croce, M.D.
Dr. Kevin Croce draws on his experience as the acting director of lung cancer screening and former director of breast cancer screening for a regional healthcare organization to holistically solve inefficient processes using existing technology. As a radiologist, his medical knowledge goes beyond a single body system and encompasses extensive pathophysiology, allowing for improved understanding of medical data management at the whole-human level. In addition to more than a decade of clinical practice, Dr. Croce has served on PACS search/selection committees, imaging service line committees, and has a deep background in computer hardware design.
Harold Reedy, M.D.
Dr. Harold Reedy provides extensive imaging experience with more than 25 years practicing radiology in an area with one of the highest rates of lung cancer in the country. His motivation to see Thynk Health make cancer screening more effective and efficient is personal after losing several friends to lung cancer due to the disease being found too late for effective treatment. He believes the innovative potential of the Thynk Health platform could save lives with early detection.
David Worthy, M.D.
Dr. David Worthy’s broad clinical experiences as a physician in the US Army, private practice, Kenya and rural emergency rooms provide a unique perspective on the multiple obstacles affecting the field of medicine in the United States and overseas. As Chief Medical Officer and Vice President of Baptist Health, Dr. Worthy has a holistic understanding of the concerns facing practices, physicians and hospital leadership. He uses his experience to understand and apply new technologies that can free healthcare organizations from obstacles such as manual data entry, so they have more time to care for individuals.
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