2016 Special Iss "Optimization, Data Mining, and Statistical Management of Bio-data in Medical Industry Informatization"
“Informatization refers to the extent by which a geographical area, an economy or a society is becoming information-based” (Wikipedia)The Journal of Medical Internet Research – Medical Informatics invites authors to submit articles on the applications of multiobjective optimization and big data technology in the knowledge discovery, data integration and intelligent decision-making for advances in medical and healthcare management, as well as medical industry informatization.Nowadays, informatization is the inevitable development trend in medical industry. In the past few decades, the computing hardware and software has continued to grow exponentially, but there still are some challenging problems for providing better healthcare services. Breakthroughs in operational research and arrival of the era of big data has helped us to find better operational strategies in hospitals that can affect patients’ health more accurately, towards higher quality and personalized services for patients.Medical industry informatization entails creation and administration of the overall healthcare system for efficient delivery of medical services and cost-effective operation of the healthcare organizations. This requires analytical problem-solving and decision-making to balance effective healthcare delivery and the cost-efficient performance of the hospital, by cooperative working of medical, nursing, administrative, and hospital operational services to function as a whole. It also includes development of procedures for state-of-the art medical treatments, quality care of patients, quality assurance characterization and assessment, and community distributed health planning. Budget planning and allocation is an important component of hospital operations management, to ensure cost-effective operations of all the hospital departments as well as develop and expand programs and services for scientific research and preventive medicine. This constitutes the focus of this Special Issue on the current state-of-the-art advances in medical informatization. Potential topics include, but are not limited to:* The function of medical information management systems, including resources allocation, personnel assignment and cost containment;* Mobile applications to provide online medical consultants, including diagnosis, therapy planning, and treatment follow-ups;* Big data techniques in the medical domain, such as collection, analysis and processing of widely used medical data through wearable devices;* Machine learning, processing of widely used bio-data through evolutionary based algorithms;Advanced techniques for optimization in the medical domain using metaheuristic optimization algorithms and hybridization;* Multiple criteria decision making in hospital management.
