Enhancing EHR Systems with data from wearables: An end-to-end Solution for monitoring post-Surgical Symptoms in older adults.

Mobile health (mHealth) apps have gained popularity over the past decade for patient health monitoring, yet their potential for timely intervention is underutilized due to limited integration with electronic health records (EHR) systems. Current EHR systems lack real-time monitoring capabilities for symptoms, medication adherence, physical and social functions, and community integration. Existing systems typically rely on static, in-clinic measures rather than dynamic, real-time patient data.

Patient-reported outcomes in research on critically ill obstetric patients.

Background: Research benefits from the incorporation of patient-important outcomes. We interviewed individuals after a critical illness during pregnancy to identify outcomes for the development of a core outcome set (COS).

Methods: Participants were identified through intensive care unit (ICU) admissions in Toronto, Canada, and Barranquilla, Colombia.

Intercostal Lung Hernias Presenting After Minimally Invasive Cardiac Surgery.

Introduction: With the introduction of minimally invasive cardiac surgery, more commonly cases of lung herniation are starting to appear. Acquired lung hernias are classified as postoperative, traumatic, pathologic, and spontaneous. Up to 83% of lung hernias are intercostal.

ChatGPT's Role in Gerontology Research.

Background: Chat Generative Pre-trained Transformer (ChatGPT) and other ChatBots have emerged as tools for interacting with information in manners resembling natural human speech. Consequently, the technology is used across various disciplines, including business, education, and even in biomedical sciences. There is a need to better understand how ChatGPT can be used to advance gerontology research.