Strategies to Improve Post-procedural Safe Patient Handoffs

STRATEGIES TO IMPROVE SAFE PATIENT HANDOFFS AND POST PROCEDURAL FLOW During patient transfers from one care unit to another, it is imperative for patient safety and satisfaction that timely and complete communication between staff occurs. In an academic tertiary care medical center, a team consisting of representatives from 6 patient care units used improvement methods of operational excellence to improve patient centered movement. The goal of this project was to improve the percentages of two questions related to information sharing on the FY2018 AHRQ Culture of Patient Safety Survey. Using baseline metrics to reflect the current state of patient wait times and performing a detailed root cause analysis, resulted in the establishment of several countermeasures. Through problem statement development, current state mapping, and fishbone diagramming six joint KPIs were developed for post Kaizen implementation and sustainment. Next steps include reviewing results of the 2018 Culture of Safety Survey, using champions of this work to coach other teams on joint KPI development and implementation and hardwiring ideal state map tool utilizing multiple waves of joint KPIs between 2-3 departments

Mapping artificial intelligence adoption in hepatology practice and research: challenges and opportunities in MENA region

BackgroundArtificial intelligence (AI) is increasingly relevant to hepatology, yet real-world adoption in the Middle East and North Africa (MENA) is uncertain. We assessed awareness, use, perceived value, barriers, and policy priorities among hepatology clinicians in the region.MethodsA cross-sectional online survey targeted hepatologists and gastroenterologists across 17 MENA countries. The survey assessed clinical and research applications of AI, perceived benefits, clinical and research use, barriers, ethical considerations, and institutional readiness. Descriptive statistics and thematic analysis were performed.ResultsOf 285 invited professionals, 236 completed the survey (response rate: 82.8%). While 73.2% recognized the transformative potential of AI, only 14.4% used AI tools daily, primarily for imaging analysis and disease prediction. AI tools were used in research by 39.8% of respondents, mainly for data analysis, manuscript writing assistance, and predictive modeling. Major barriers included inadequate training (60.6%), limited AI tool access (53%), and insufficient infrastructure (53%). Ethical concerns focused on data privacy, diagnostic accuracy, and over-reliance on automation. Despite these challenges, 70.3% expressed strong interest in AI training., and 43.6% anticipating routine clinical integration within 1–3 years.ConclusionMENA hepatologists are optimistic about AI but report limited routine use and substantial readiness gaps. Priorities include scalable training, interoperable infrastructure and standards, clear governance with human-in-the-loop safeguards, and region-specific validation to enable safe, equitable implementation