Two new Journals for Mobile Health Researchers
Nature partner journals DIGITAL MEDICINE is open for submissions!
Digital Medicine publishes the highest quality digital medicine research, including the clinical implementation of digital and mobile technologies, virtual healthcare, data analytic methodologies and innovative sensor development to provide the necessary data and longitudinal monitoring to best inform the broadest medical community.
ACM Presents a new journal: ACM Transactions on Computing for Healthcare (HEALTH)
ACM Transactions on Computing for Healthcare (HEALTH) is a multi-disciplinary journal for the publication of high-quality original research papers, survey papers, and challenge papers that have scientific and technological results pertaining to how computing is improving healthcare. This journal is multidisciplinary, intersecting CS, ECE, mechanical engineering, bio-medical engineering, behavioral and social science, psychology, and the health field, in general. Papers must have novel computing research results. Datasets and other artifacts needed to support reproducibility of results are highly encouraged. Proposals for special issues are encouraged. Bring us your best!!
Virtual humans work better than current ways to identify post-traumatic stress in soldiers.
Soldiers are more likely to open up about post-traumatic stress when interviewed by a virtual interviewer than by taking a survey, finds a study published today in open-access journal Frontiers in Robotics and AI. A computer-generated 'human' interviewer combines the advantages of anonymity with social connection and rapport, which could help soldiers to reveal more about their mental health symptoms. (Read More)
Spotlight on Shinyi Wu
Shinyi Wu, PhD (Industrial Engineering, University of Wisconsin – Madison) is Associate Professor of Social Work and Industrial & Systems Engineering at the University of Southern California. Dr. Wu brings an interdisciplinary training and expertise to her research on improving access, quality, and cost-effectiveness of health services and population health, especially for patients with chronic illnesses, older adults, and underserved populations. Dr. Wu creates new opportunities for cross-disciplinary connections to advance science and practice of health and social work services. Her work includes health policy analysis and economic evaluations, quality improvement and systems redesign, simulation modeling and decision analysis, and novel applications of information technology and mHealth tools for behavioral change and performance improvement. For Shinyu Wu's most recent publications, follow this link.