Lung Nodule Follow-up at an Academic Center: A Revealing Quality Study

Bhinder, Sacha; Abduljalil, Nabil; Houston, Simon; Simms, Taryn; Deva, Djeven P.; Intyre, Kieran Mc

doi:10.1378/chest.1959255

Cited by 1 publication

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“…However, actual follow-up imaging in these patients has been reported to be only about 29% if the ‘impression’ section had explicit follow-up recommendations but decreased to 0% if the follow-up recommendation was located only in the ‘findings’ section of the radiology report rather than in the ‘impression’ section. Others have reported variability in compliance which depended on the patient status as an outpatient (63%), ER (15%) or inpatient (27%) at the time of their initial CT scan, impacting adherence to follow-up imaging recommendations 4…”

Section: Introductionmentioning

confidence: 99%

Process improvement for follow-up radiology report recommendations of lung nodules

et al. 2019

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In the modern healthcare system, there are still wide gaps of communication of imaging results to physician and patient stakeholders and tracking of whether follow-up has occurred. Patients are also unaware of the significance of findings in radiology reports. With the increase in use of cross-sectional imaging such as CT, patients are not only being diagnosed with primary urgent findings but also with incidental findings such as lung nodules; however, they are not being told of their imaging findings nor what actions to take to mitigate their risks. In addition, patients at high risk for developing lung cancer often obtain serial CT scans, but tracking these patients is challenging for the clinician.In order to advance quality improvement goals and improve patient outcomes, we developed a custom application and business process for radiology practitioners that mines available healthcare data, identifies patients with lung nodules in need of follow-up imaging, notifies the patient and the primary care physician via mail, and measures process efficacy via executed follow-up screenings and captured patient condition.This integrated analytics and communication process increased our average rate of patient follow-ups for lung nodules from 26.50 in 2015 to 59.72% in 2017. 17.18% of these patients had new lung nodules or worsening severity of lung findings detected at follow-up. This new process has added missing quality and care coordination to an at-risk patient population.ProblemCommunication of imaging results and follow-up recommendations to patients and primary care providers (PCPs) is a challenge for healthcare systems. In addition, tracking whether a patient’s follow-up has been completed is another significant gap in care coordination. Patients are often unaware of or cannot even understand the significance of radiology findings or follow-up recommendations reported after imaging procedures. In addition, patients may not have a primary physician listed at time of imaging if the first encounter is in the emergency room (ER) or if their primary care physician or specialist works in a different electronic health record platform. Communication of imaging results to different healthcare providers is challenging with the myriad of existing electronic health record systems that often lack interoperability with other clinical entities.Description of lung nodules in radiology reports can vary widely if a standardised lexicon is not used. Moreover, follow-up recommendations by radiologists can be varied for certain size lung nodules because an individual’s risk factors to develop lung cancer may not be known at the time of dictation.Approximately 500 000 radiology imaging procedures are interpreted and performed annually by a single private group of 33 radiologists located at a 665-bed regional referral centre and at a 140-bed acute care community hospital, both located in the suburbs of a major metropolitan city. Management of this volume of patients in the health system can be overwhelming to nurse navigators, and there is usually no system in place for primary care physicians to follow-up lung nodules found unexpectedly on inpatient images. The goal of this project was to develop a better automated tracking method and communication tool to reduce the likelihood that needed follow-up studies are missed by patients and clinicians.

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Section: Introductionmentioning

confidence: 99%