Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Patient And Provider Experience With Artificial Intelligence Screening Technology For Diabetic Retinopathy In A Rural Primary Care Setting, Brian M. Nolan, Emma R. Daybranch, Kerri Barton, Neil Korsen

Journal of Maine Medical Center

Introduction: The development of autonomous artificial intelligence for interpreting diabetic retinopathy (DR) images has allowed for point-of-care testing in the primary care setting. This study describes patient and provider experiences and perceptions of the artificial intelligence DR screening technology called EyeArt by EyeNuk during implementation of the tool at Western Maine Primary Care in Norway, Maine.

Methods: This non-randomized, single-center, prospective observational study surveyed 102 patients and 13 primary care providers on their experience of the new screening intervention.

Results: All surveyed providers agreed that the new screening tool would improve access and annual screening rates. Some providers also identified …

Does A Diagnostic Algorithm Reduce The Overuse Of Chest Ct Angiography In Suspected Pulmonary Embolism? : A Pre- And Post-Intervention Retrospective Study In A Critical Access Hospital, Rattanaporn Mahatanan, Brianna Philbrick, William J. Hirschfeld, Gina Gomez

Journal of Maine Medical Center

Background: Pulmonary embolism (PE) is a common and potentially fatal disease. Although CTA is a gold standard for diagnosis, it carries risks for patients. We sought to minimize the overutilization of chest CTA by implementing a diagnostic algorithm in the hospital to evaluate the likelihood of PE and determine the need for imaging with CTA.

Methods: A retrospective medical chart review was performed for all patients suspicious of PE at Redington-Fairview General Hospital 3 months before and after diagnostic algorithm implementation. Patients who underwent either D-dimer testing or chest CTA were included. Patients were excluded if d-dimer testing was …