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NCT ID: NCT06279260 Not yet recruiting - Prostate Cancer Clinical Trials

National Robotics-Assisted Radical Prostatectomy Database

Start date: April 2024
Phase:
Study type: Observational [Patient Registry]

Surgical notes are detailed reports written by surgeons during and after surgeries. These notes cover everything from the techniques, instruments used, any issues with the surgical procedure and post-surgical care for the patient. This information is a treasure trove for researchers because they can study it to understand how surgeries go, what works best, and how certain treatments affect patients. By looking closely at these notes, researchers can find patterns and trends, helping them in understanding what makes surgeries successful and identify the best ways to perform them. This information is crucial for creating guidelines based on solid evidence. Also, these surgical notes are a goldmine for looking back at past surgeries to see how they have affected patients in the long run. The real power for research comes when we combine these surgical notes within the Electronic Medical Records (EMR) and research databases. This makes it easy to collect information systematically, making it simpler for researchers to study a large number of cases. Unfortunately, not many people have paid attention to this idea for a long time, leading to big gaps in the data collection. To address this issue, we aim to create a database that collects information from surgical notes effortlessly. This includes details about how surgeons are trained and how they progress. It's important to make sure that doctors work aligns with research - which is the best way to address data collection issues. This data can also help record different technical aspects of surgery and different surgeons' learning curve, making it easier to compare and improve training. Thus, we aim to standardise notes that are the same across different hospitals conducting robotic-assisted surgeries for prostatectomy.

NCT ID: NCT05046366 Recruiting - Lung Cancer Clinical Trials

Development of an Artificial Intelligence System for Intelligent Pathological Diagnosis and Therapeutic Effect Prediction Based on Multimodal Data Fusion of Common Tumors and Major Infectious Diseases in the Respiratory System Using Deep Learning Technology.

Start date: October 1, 2021
Phase:
Study type: Observational

To improve accurate diagnosis and treatment of common malignant tumors and major infectious diseases in the respiratory system, we aim to establish a large medical database that includes standardized and structured clinical diagnosis and treatment information such as electronic medical records, image features, pathological features, and multi-omics information, and to develop a multi-modal data fusion-based technology system for individualized intelligent pathological diagnosis and therapeutic effect prediction using artificial intelligence technology.

NCT ID: NCT04356612 Active, not recruiting - Clinical trials for Achilles Tendon Rupture

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

Start date: December 20, 2019
Phase:
Study type: Observational

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

NCT ID: NCT03973320 Completed - Hypotension Clinical Trials

Outcomes After Hypotensive Neuraxial Anesthesia in Total Hip Arthroplasty

Start date: December 27, 2018
Phase:
Study type: Observational

This is a retrospective chart review to determine if neuraxial anesthesia is associated with worse outcomes after Primary Total Hip Arthroplasty.

NCT ID: NCT02778724 Recruiting - STEMI Clinical Trials

France PCI Registry : National Observatory of Interventional Cardiology

Start date: January 2014
Phase:
Study type: Observational

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.