PubMed چکیده/رکورد

Factors influencing discussion duration in breast cancer multidisciplinary team meetings: insights for streamlining care.

استودیوی صوتی مقاله

پخش حرفه‌ای فارسی و انگلیسی

در حال بررسی نسخه‌های صوتی ذخیره‌شده…

صوت تولیدشده با هوش مصنوعی است. برای کاربرد علمی یا درمانی، متن و منبع اصلی را بررسی کنید.
خواندن هوشمند فارسی و انگلیسی در حال آماده‌سازی صداهای مرورگر…
تنظیم صدای طبیعی و سرعت

صداهایی که در نامشان «Natural»، «Neural» یا «Online» دیده می‌شود معمولاً طبیعی‌ترند. انتخاب صدا به صداهای نصب‌شده در ویندوز و مرورگر شما بستگی دارد.

چکیده اصلی

PURPOSE: Multidisciplinary team meetings (MDTMs) in breast cancer care improve outcomes but are time-consuming and costly. This study investigates using data from the Dutch national cancer registry (NCR) and hospital electronic medical records (EMR) to efficiently calculate MDTM discussion durations, while complying with privacy laws. METHODS: This retrospective study analyzed breast cancer MDTM discussion durations using NCR and EMR data from 2014 to 2018. Discussion times were estimated from EMR timestamps, excluding outliers, and analyzed statistically. Ethical approval was obtained, including only non-opt-out patients. RESULTS: The final dataset included 1,048 tumors, 996 patients, and 1,487 MDTM discussion times after exclusions for missing data, duplicates, and outliers. Discussion durations varied significantly, with pre-operative and no-surgery discussions being longer than post-operative ones (p = 0.000), and factors such as MRI availability, tumor differentiation, malignancy, menopausal status, and cancer stage influencing duration in pre-operative cases. In post-operative discussions, molecular subtype, cancer stage, and tumor size were significant, while age, tumor differentiation, and menopausal status had no impact. CONCLUSION: This study evaluates discussion durations in breast cancer MDTMs using retrospective data from the NCR and EMR, demonstrating a feasible approach to assess MDTM functioning. Differences in discussion duration based on patient and tumor characteristics may help optimize MDTM efficiency. CLINICAL TRIAL NUMBER: Not applicable.

متن کامل اصلی

متن در JumpToDate ذخیره نشده است.

برای بررسی دسترسی کتابخانه‌ای یا خرید، رکورد اصلی را باز کنید.

رفتن به منبع اصلی

کلیدواژه‌ها

Breast cancer careElectronic medical records (EMR)MDTM discussion durationMultidisciplinary team meetings (MDTMs)National cancer registry (NCR)
در همین زیرشاخه

مقاله‌های مرتبط

PubMed2026

An Evaluation of AI-Generated Clinical Notes in the OpenNotes Era: A Thematic Analysis of Clinician Discourse.

BACKGROUND: The integration of ambient artificial intelligence (AI) scribes into the OpenNotes environment presents a profound governance crisis in healthcare. While patient access to medical records was designed as a transparency reform, the introduction of machine-generated text introduces novel vulnerabilities regarding record integrity, liability, and patients' trust. OBJECTIVE: This study investigates how clinicians discursively n…

PubMed2026

Radiological mass effect and neurological status are associated with mortality after burr-hole drainage for chronic subdural hematoma: a 10-year cohort study.

Chronic subdural hematoma (CSDH) is increasingly common in older adults and in patients receiving antithrombotic therapy. Although burr-hole drainage is generally safe and effective, perioperative mortality remains a concern, and reliable preoperative predictors are incompletely defined. We aimed to identify independent preoperative predictors of in-hospital mortality after burr-hole drainage for CSDH, with explicit characterization of…

PubMed2026

Neurocritical factors associated with mortality and functional recovery in pediatric trauma patients admitted to a tertiary PICU.

PURPOSE: To identify early neuroprognostic factors associated with functional neurological outcome in pediatric trauma patients requiring PICU admission. The primary outcome was Glasgow Outcome Scale (GOS) at discharge and 6 months; secondary outcomes were in-hospital mortality and brain death. METHODS: We conducted a retrospective cohort study of 425 consecutive pediatric trauma admissions to a tertiary PICU from June 2014 to December…

PubMed2026

Benchmarking Fast Healthcare Interoperability Resources-Based Analytics: Quantitative Study of RESTful Server Queries and Big Data Engines.

BACKGROUND: Electronic health records offer vast clinical data for health care research, but interoperability challenges often hinder comprehensive analysis. The Health Level Seven Fast Healthcare Interoperability Resources (FHIR) standard addresses these challenges, although its nested and interconnected resource format can be complex for analytics. Several tools have emerged to facilitate analytical access, either by querying FHIR se…