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

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. Problem: Communication 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.

Pancreaticoduodenectomy and metastasectomy for metastatic pancreatic neuroendocrine tumors.

BACKGROUND AND OBJECTIVES: Various treatment options exist for patients with metastatic pancreatic neuroendocrine tumors (PNETs). Surgical resection with pancreaticoduodenectomy (PD) typically reserved for patients with limited disease. Definitive data are lacking to support either the resection of primary PNET in the metastatic setting or for surgical debulking of metastatic lesions. METHODS: We conducted an analysis of the National Cancer Database (NCDB) using the pancreatic cancer Participant User File. Thirty- and 90-day mortality rates and survival rates were determined for patients undergoing PD for primary tumor resection and compared with patients who had no surgery or metastasectomy. The Kaplan-Meier method was used to compare survival time. Cox regression models were used to assess factors independently associated with overall survival time. RESULTS: Resection of the primary tumor or metastatic disease each significantly improved overall survival time compared with no resection. Adding metastasectomy to PD resulted in an incremental increase in overall survival time. Both PD and metastasectomy are independently associated with overall survival time. CONCLUSIONS: Our report highlights the potential for survival time benefit in appropriately selected patients who undergo PD in the setting of metastatic PNET.

Filling the void: a low-cost, high-yield approach to addressing incidental findings in trauma patients.

BACKGROUND: Incidental findings are prevalent in imaging but often go unreported to patients. Such unreported findings may present the potential for harm as well as medico-legal ramifications. METHODS: A chart review of trauma patients was undertaken over a year. Systems-based changes were made utilizing our electronic medical record system and our staff protocols to improve the disclosure of clinically relevant incidental findings to patients. RESULTS: During the preintervention period, 674 charts were reviewed. Trauma patients had a rate of incidental findings of 70%, and 36% of patients had clinically relevant incidentals. Rates of follow-up recommendation and disclosure to patients were 22% and 27%, respectively. In the postintervention period, of the 648 charts were reviewed, the rates of a clinically relevant incidental finding were 35%, but the rates of follow-up recommendation and disclosure to patients were 68% and 85%, respectively. CONCLUSION: Incidental findings are more prevalent herein than previously reported. With simple changes and minimal resources, clinically relevant and important improvement in reporting incidental findings can be made to mitigate the harm and medico-legal impact of an incidental finding going unreported.

Effects of actin-myosin kinetics on the calcium sensitivity of regulated thin filaments.

Activation of thin filaments in striated muscle occurs when tropomyosin exposes myosin binding sites on actin either through calcium-troponin (Ca-Tn) binding or by actin-myosin (A-M) strong binding. However, the extent to which these binding events contributes to thin filament activation remains unclear. Here we propose a simple analytical model in which strong A-M binding and Ca-Tn binding independently activates the rate of A-M weak-to-strong binding. The model predicts how the level of activation varies with pCa as well as A-M attachment, N·k(att), and detachment, k(det), kinetics. To test the model, we use an in vitro motility assay to measure the myosin-based sliding velocities of thin filaments at different pCa, N·k(att), and k(det) values. We observe that the combined effects of varying pCa, N·k(att), and k(det) are accurately fit by the analytical model. The model and supporting data imply that changes in attachment and detachment kinetics predictably affect the calcium sensitivity of striated muscle mechanics, providing a novel A-M kinetic-based interpretation for perturbations (e.g. disease-related mutations) that alter calcium sensitivity.