Publishing Policies

Health information exchange (HIE) is the mobilization of healthcare information electronically across organizations within a region, community or hospital system. In practice the term HIE may also refer to the organization that facilitates the exchange. HIE provides the capability to electronically move clinical information among disparate health care information systems while maintaining the meaning of the information being exchanged. The goal of HIE is to facilitate access to and retrieval of clinical data to provide safer and more timely, efficient, effective, and equitable patient-centered care. HIE is also useful to public health authorities to assist in analyses of the health of the population. HIE systems facilitate the efforts of physicians and clinicians to meet high standards of patient care through electronic participation in a patient's continuity of care with multiple providers. Secondary health care provider benefits include reduced expenses associated with:

CPOE is a process of electronic entry of medical practitioner instructions for the treatment of patients (particularly hospitalized patients) under his or her care. These orders are communicated over a computer network to the medical staff or to the departments (pharmacy, laboratory, or radiology) responsible for fulfilling the order. We publish for examples studies demonstrating (or questioning) that CPOE decreases delay in order completion, reduces errors related to handwriting or transcription, allows order entry at the point of care or off-site, provides error-checking for duplicate or incorrect doses or tests, and simplifies inventory and posting of charges.

Max 2000 words

“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.

For corrigenda that are discretionary and a result of author-oversight (e.g. corrections in the affiliation etc) we charge a $190 processing fee to make changes in the original paper and publish an erratum. To request a correction, please submit a correction statement (text similar to http://www.jmir.org/2015/3/e76/) as new submission from your author homepage.

20% discount on the APF for presenters at the Boston Connected Health conference

20% discount on the APF for presenters at the Boston Connected Health Conference

Medication reconciliation is the process of creating an accurate list of all medications a patient is taking.

Presenters at CHS2018 get 20% off their APF. 

Theme issue guest editors: Jiang Bian, Cui Tao, Yi Guo, Jennifer Dahne

For details, please see Call for Papers.

Guest Editors: Tianyong Hao, Buzhou Tang, Zhengxing Huang

For more details, see Call for Papers.

20% discount on the APF for presenters at the 2019 Connected Health Conference

See also: Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics [Section Id: 1016]

Guest Editors: Yanshan Wang, Feichen Shen, Ozlem Uzner

Guest Editors: Zhenyu Du, Katerina Kalemaki, Hailong Li

Special Issue Guest Editors: Prof. Sang-Bing Tsai, Lianyong Qi, Shuchao Pang, Mehdi Elahi, Fei Dai, Chia Huei Wu 

Call for Papers:

https://medinform.jmir.org/announcement/view/219

We have created a new theme issue to enable rapid publication and dissemination of research and perspectives related to the COVID-19 pandemic and the implications for Medical Informatics.

Industry perspectives: These outline the opinions and views of leaders in the field and offer a forum to share evolving ideas. We welcome in particular the discussion of  experiences with new tools, methods, apps, devices, or experiences about the role of technology in medical informatics.

(section added Sep 2020, prior articles may not be tagged with this section even if relevant) Tools and algorithms to aid in diagnosis of dieseases and conditions. 

Related sections:

• Diagnostic Tools in Mental Health [Section Id: 388]
• Transdiagnostic Mental Health Interventions [Section Id: 690]
• Innovations in Cancer Diagnostic and Decision Support [Section Id: 861]
• New Diagnostic Tools and Instruments for Pediatrics [Section Id: 868]
• Screening and Early Diagnosis in Pediatrics [Section Id: 748]

See also: Secondary Use of Clinical Data for Research and Surveillance [Section Id: 451]

Metaresearch means that these are "studies about studies", for example bibliographic studies about the impact of digital health papers or methods or approaches.