"Methods of Information in Medicine" (MIM) is a peer-reviewed scientific journal that serves as a platform for disseminating research and advancements in the field of health informatics and medical information processing. Published by the International Medical Informatics Association (IMIA), MIM covers a wide range of topics, including but not limited to medical informatics, health information systems, decision support systems, bioinformatics, and the application of artificial intelligence in healthcare. The journal provides a forum for researchers, practitioners, and professionals to share their insights and contribute to the ongoing development of methods and technologies that enhance the management and utilization of health information.
As a leading journal in the domain of health informatics, MIM plays a crucial role in advancing the understanding and application of information technology in medicine. The articles published in MIM often explore innovative methods for data collection, analysis, and interpretation, with a focus on improving the efficiency and effectiveness of healthcare delivery. By featuring research at the intersection of medicine and information science, MIM contributes to the broader conversation on how technology can be leveraged to address healthcare challenges, improve patient outcomes, and drive evidence-based decision-making in clinical practice.
Title : The power of presence: Investing in LVNs for lasting impact
Emma Gitomer, Houston Methodist Hospital, United States
Title : Reaching our residents: An interdisciplinary approach to educating our future providers in the art of telephone triage
Cori Brown, Childrens Hospital of Philadelphia, United States
Title : Turn the heat around: Quality improvement in malignant hyperthermia response through in-situ simulation
Ayumi S Fielden, Houston Methodist Hospital, United States
Title : PTSD and tools for nursing resilience
Renee Bauer, Indiana State University, United States
Title : Birth partnerships: Enhancing nursing care with doula support
Vera Kevic, Doulas on Bikes, Canada
Title : Shift strong: A proactive stress-physiology framework for early identification of nurse distress
Laura Hall, Colorado Mesa University, United States