Clinical Research Directory

Consensus And Norms for Medical Visualization Academic Standards Study - A Modified Delphi Study

The goal of this observational study (modified Delphi consensus study) is to establish an international expert consensus on professional standards for medical visualization in medical visualization experts from from around the world, each with a minimum of five years of relevant professional experience. The specific objectives are: 1. to develop and validate core consensus statements on professional standards for medical visualization (consensus threshold ≥75%). 2. to quantify the distribution of divergence in professional opinion. Participants will: Fill out a short background survey about their job title, training, work setting, location, and experience with AI image tools. Rate 10 statements about medical visualization standards on a scale from 1 (Strongly Disagree) to 5 (Strongly Agree). These statements cover three topics: accuracy, accessibility, and ethics. Participants will complete up to 3 rounds of anonymous online surveys. Write comments to explain why they disagree with any statement they rate 1 or 2. Between rounds, review a summary showing their own earlier ratings and the group's overall results (with no names attached). Then, re-rate any statements the group has not yet agreed on.

K-ORCA: Testing a Decision Support Tool and Group Process for Selecting Interventions

This proposal responds to NIMH Objective 4.2.c to develop "decision-support tools and technologies that increase the effectiveness and continuous improvement of mental health interventions" by leveraging the Family First Prevention Services Act (FFPSA) policy opportunity. First, a web-based platform to host (a) a decision-support tool and (b) automated facilitation for group decisions with the tool will be developed with state partners' feedback. Next, decision makers leading their states' FFPSA quality improvement efforts will be engaged to pilot a decision-support intervention comprised of the tool and live or automated facilitation, and to evaluate the implementation quality of evidence-based programs adopted with the decision-support intervention.

Mechanical Insufflation-Exsufflation in Critically Ill Patients

Mechanical insufflation-exsufflation (MI-E) is an established airway clearance technique for patients with chronic conditions like neuromuscular diseases. However, its use in critically ill ICU patients remains inconsistent and lacks standardized guidelines. Despite growing research, current practices vary widely in patient selection, treatment protocols, and safety management, with limited high-quality evidence to support clear recommendations. To address this gap, an international, multidisciplinary Delphi consensus study is needed to establish expert-based best practices and feasible guidelines for the safe and effective implementation of MI-E in the intensive care setting.