Clinical Research Directory

Developing a Multimodal Cancer Pain Database to Support AI-Based Automatic Pain Assessment

The goal of this observational study is to collect short video and sound recordings of people with cancer to create a secure database that can be used in future research to develop an artificial intelligence (AI) tool for pain assessment. The main aim is to build a large, high-quality collection of audiovisual data showing how people with cancer express themselves when they do and do not have pain. Participants will include adults with cancer who are admitted to the oncology ward for pain treatment and a control group admitted for chemotherapy who have no pain. After giving consent, participants will: * Be recorded on video (from the shoulders up) for up to 60 seconds while reading a short sentence and describing their pain or daily experience. * Complete a short questionnaire about their mood and pain expression. * Allow researchers to collect some information from their medical record, such as their pain score, medications, and cancer type. These recordings will be securely stored and used to create a database for future AI research. No medical tests, new treatments, or extra hospital visits are involved. This study will provide the foundation for developing future AI-based tools that could support doctors and patients in monitoring and managing pain more accurately and easily.

Barriers to Efficient PACU Discharge at a Major Academic Orthopaedic Ambulatory Surgery Center

This is a retrospective chart review to determine the etiologies contributing to prolonged PACU discharge at a major Orthopedic Ambulatory Center

Patient's Database: Prepare for Your Surgery Program

Frailty is a multidimensional syndrome that predominantly affects older people and people with long-term treatments such as cancer and chronic pain. This results in an increased risk of disability, reduced resistance and greater vulnerability to stressors. These factors culminate in worse postoperative outcomes, including higher rates of complications and mortality. With the current demographic shift towards an aging population in Latin America and Chile, the prevalence of frailty among surgical patients is increasing. Despite the clear association between frailty and adverse postoperative effects, in Chile there are few centers that routinely perform objective preoperative frailty assessment before to surgery. This is due to logistical challenges, the need for specialized training, and assessment tools. As a result, frailty remains an underestimated syndrome in the perioperative setting. Various interventions have been proposed to improve the care of fragile surgical patients. Prehabilitation, a multidisciplinary program designed to prepare patients for surgery and improve their resilience to surgical stress, has emerged as a promising intervention. Recent studies indicate that prehabilitation may lead to shorter hospital length of stay (LOS) and fewer complications. Recognizing the vital role that frailty plays in surgical outcomes and the paucity of research on prehabilitation, a prehabilitation or timely presurgical conditioning program (Prepare for Your Surgery Program) has been implemented at our center. This proposal seeks to optimize the patient before a surgical intervention in order to reduce frailty and complications, thus improving recovery and medium-term results. The program consists of interventions 4 to 6 weeks before surgery focused on: nursing assessment, screening and follow-up, geriatric and/or internal medicine assessment and intervention, physiotherapy assessment and intervention, nutrition assessment and intervention, psychological assessment and intervention, and preoperative anesthesiology intervention. For this purpose, it has been proposed to create a prospective database of patients from the Prepare for Your Surgery Program, who undergo elective surgery at Hospital Clinico Red Salud UC-Christus.

National Robotics-Assisted Radical Prostatectomy Database

In Australia, nearly 70 men are diagnosed with Prostate cancer every day. Prostate removal (Radical Prostatectomy) is the proven treatment option to control cancer spread. Most of the prostate removal surgeries are done using robots. Robotic assisted prostate removal surgeries have been invented to minimise the risk of side effects post-surgery. Doctors prefer the robots over open surgery as there are benefits to patients (shorter hospital stays, lesser blood loss and better quality of life) and surgeons (better dexterity, improved field of vision and less pain). However, the cost of the robot outweighs the benefits at present and there is very less information concerning the long-term outcomes for patients. Studies conducted so far are small scale studies and the results from these studies cannot be generalized to the population at large in Australia. So, there is need for a largescale study that will look at the long-term outcomes and the factors that impact robotic surgeries across the metropolitan and rural hospital sectors. Hence, this comprehensive database has been setup to collaborate with major hospitals, across metropolitan and rural areas in Australia. Through this database, researchers will be able to explore the diagnostic pathway for Prostate cancer and understand the long-term benefits of robotic surgery through patient reported questionnaires. Outcomes from this database will also help compare the quality of care against other powerhouses of robotic surgery. Eventually, the database aims to standardize diagnostic pathways and clinical notes that are the same across different hospitals conducting robotic-assisted surgeries for Prostatectomy and improve care for prostate cancer patients across the country.

France PCI Registry : National Observatory of Interventional Cardiology

Rigorous clinical practice assessment is a key factor to improve patient's care and prognosis in interventional cardiology (IC). A multicentric IC observational study (CRAC), fully integrated to usual coronary activity report software, started in Centre Val de Loire (CVL) region in 2014. CRAC observatory was conduced on five IC CathLab of CVL region. Quality of collected data is regularly evaluated and allowed building an exhaustive, and reliable database. This solution could easily be developed in other French regions.