Objective: Chat-based artificial intelligence programs like ChatGPT are reimagining how patients seek information. This study aims to evaluate the quality and accuracy of ChatGPT-generated answers to common patient questions about lung cancer surgery.
Methods: A 30-question survey of patient questions about lung cancer surgery was posed to ChatGPT in July 2023.
Minimally invasive thoracic surgery has advanced the treatment of lung cancer since its introduction in the 1990s. Video-assisted thoracoscopic surgery (VATS) and robotic-assisted thoracic surgery (RATS) offer the advantage of smaller incisions without compromising patient outcomes. These techniques have been shown to be safe and effective in standard pulmonary resections (lobectomy and sub-lobar resection) and in complex pulmonary resections (sleeve resection and pneumonectomy).
View Article and Find Full Text PDFJ Thorac Cardiovasc Surg
March 2025
Background: Segmentectomy is increasingly performed for non-small cell lung cancer. However, comparative outcomes data among open, robotic-assisted, and video-assisted thoracoscopic approaches are limited.
Methods: A retrospective cohort study of non-small cell lung cancer segmentectomy cases (2013-2021) from the Society of Thoracic Surgeons General Thoracic Surgery Database was performed.
J Thorac Cardiovasc Surg
August 2023
Background: Sublobar resection is increasingly performed for stage Ia non-small cell lung cancer, but pathologic lymph node upstaging remains a common clinical scenario. This study compares the long-term prognosis of patients with clinical stage Ia disease and occult lymph node disease undergoing wedge resection vs lobectomy.
Methods: The National Cancer Database was queried for patients treated with wedge resection or lobectomy for clinical stage Ia (cT1N0) non-small cell lung cancer and who were pathologically upstaged with either pN1/pN2 disease.
Appl Clin Inform
March 2022
Background: Inpatient portals are recognized to provide benefits for both patients and providers, yet the process of provisioning tablets to patients by staff has been difficult for many hospitals.
Objective: Our study aimed to identify and describe practices important for provisioning an inpatient portal from the perspectives of nursing staff and provide insight to enable hospitals to address challenges related to provisioning workflow for the inpatient portal accessible on a tablet.
Methods: Qualitative interviews were conducted with 210 nursing staff members across 26 inpatient units in six hospitals within The Ohio State University Wexner Medical Center (OSUWMC) following the introduction of tablets providing access to an inpatient portal, MyChart Bedside (MCB).
Plast Reconstr Surg Glob Open
January 2022
Unlabelled: At our institution, multimodal opiate-sparing pain management is the cornerstone of our enhanced recovery program for autologous breast reconstruction. The purpose of this study was to compare postoperative outcomes and pain control metrics following implementation of an enhanced recovery program with two different regional analgesia approaches.
Methods: This retrospective cohort study identified 145 women who underwent autologous breast reconstruction from 2015 to 2017.
Objective: Reduce nurse response time for emergency and high-priority alarms by increasing discriminability between emergency and all other alarms and suppressing redundant and likely false high-priority alarms in a secondary alarm notification system (SANS).
Background: Emergency alarms are the most urgent, requiring immediate action to address a dangerous situation. They are clinician-triggered and have higher positive predictive value (PPV).
Objective: Address the alarm problem by redesigning, reorganizing, and reprioritizing to better discriminate alarm sounds and displays in a hospital.
Background: Alarms in hospitals are frequently misunderstood, disregarded, and overridden.
Method: Discovery-oriented, intervention, and translational studies were conducted.
Background: Understanding the risk of conversion from video-assisted thoracic surgery (VATS) to thoracotomy is important when considering patient selection and preoperative surgical risk assessment. This review aims to estimate the rate of intraoperative conversions to thoracotomy, predictive factors, and associated outcomes for VATS anatomic lung resections.
Methods: PubMed/MEDLINE and EMBASE were searched systematically in May of 2020.
Quality outcomes are the ultimate goal for our thoracic surgery patients. The collection of data to measure the outcomes have been in place for many years and yet are insufficient. The inclusion of patient reported outcomes (PROs) into data reporting, collection and analysis will help to truly understand what matters most to patients and allow us to provide value-based care every time.
View Article and Find Full Text PDFPatient-reported outcomes (PRO) after lung cancer surgery are of increasing interest to patients and clinicians. A variety of studies have investigated the impact of the surgical approach on quality of life (QOL) after surgery for early non-small-cell lung cancer (NSCLC). Our aim is to review the current evidence on how minimally-invasive approaches, including video-assisted thoracoscopic surgery (VATS) and robotic-assisted thoracoscopic surgery (RATS), versus open thoracotomy for lung cancer affect QOL.
View Article and Find Full Text PDFBackground: Active patient engagement may improve their perioperative experience and outcomes. We sought to evaluate the use of a mobile device application (App) for patient engagement and patient reported outcomes (PROs) assessment following robotic lung cancer surgery.
Methods: Patients with suspected lung cancer undergoing robotic resection between January-May 2019, were offered the SeamlessMD App, which was customized to meet requirements of the thoracic enhanced recovery pathway.
Asian Cardiovasc Thorac Ann
October 2020
Proc Int Symp Hum Factors Ergon Healthc
September 2019
There is growing interest in using AI-based algorithms to support clinician decision-making. An important consideration is how transparent complex algorithms can be for predictions, particularly with respect to imminent mortality in a hospital environment. Understanding the basis of predictions, the process used to generate models and recommendations, how to generalize models based on one patient population to another, and the role of oversight organizations such as the Food and Drug Administration are important topics.
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