Effectiveness of an Electronic Medical Record-Based Recognition Tool for the Identification of Incidental Pulmonary Nodules.

BACKGROUND: Incidental pulmonary nodules (IPNs) are lung nodules detected on imaging studies performed for an unrelated reason. Approximately 1.6 million IPNs are detected in the United States every year. Unfortunately, close to 1.1 million (69%) of these IPNs are not managed with appropriate follow-up care. The goal of this study was to assess the utility of a noncommercial electronic medical record (EMR)-based IPN keyword recognition program in identifying IPNs and the ability of lung navigators to communicate these findings to patients. METHODS: This is a observational, implementation study aimed identify IPNs using an EMR-based protocol and to relay results of findings to patients. The patient population included patients 16 and older undergoing computed tomography (CT) chest, CT chest/abdomen, CT angiogram chest, CT chest/abdomen/pelvis, and chest radiography through the radiology department within a large community tertiary medical campus between June 2019 and August 2020. EPIC EMR were queried using criteria designed to find IPNs. A lung navigator reviewed these cases and sorted them into categories based on their size and risk status. After identification of risk factors, actions were taken to directly communicate results to patients. RESULTS: Seven hundred and fifty-three patients were found to have true IPNs without a history of active malignancy involving the lung. On the basis of radiographic measurements, 60% of the nodules identified were <6 mm, 17% were between 6 and 8 mm, 22% were >8 mm, and 12% were deemed nodular opacities. Lung navigators were able to contact a total of 637 (87%) individuals with IPNs and results were directly communicated. Of the 637 patients identified to have an IPN, a total of 12 (2%) cancers were diagnosed. CONCLUSION: We have here demonstrated that the development of an EMR-based keyword recognition platform for the identification of IPNs is a useful and successful tool for communication of IPN findings to patients using lung navigators.

10 Steps to Strategically Build and Implement your Enterprise Imaging System: HIMSS-SIIM Collaborative White Paper.

An enterprise imaging (EI) strategy is an organized plan to optimize the electronic health record (EHR) so that healthcare providers have intuitive and immediate access to all patient clinical images and their associated documentation, regardless of source. We describe ten steps recommended to achieve the goal of implementing EI for an institution. The first step is to define and access all images used for medical decision-making. Next, demonstrate how EI is a powerful strategy for enhancing patient and caregiver experience, improving population health, and reducing cost. Then, it is recommended that one must understand the specialties and their clinical workflow challenges as related to imaging. Step four is to create a strategy to improve quality of care and patient safety with EI. Step five demonstrates how EI can reduce costs. Then, show how EI can help enhance the patient experience. Step seven suggests how EI can enhance the work life of caregivers and step eight describes how to develop EI governance. Step nine describes the plan to implement an EI project, and finally, step 10, to understand cybersecurity from a patient safety perspective and to protect images from accidental and malicious intrusion.