The EU*US eHealth Work Consortium white paper discusses the ways in which the EU*US eHealth Work Project will work to measure, inform, educate and advance development of a skilled eHealth workforce globally.
The purpose of this paper is to explore the benefits and barriers of implementing radio-frequency identification (RFID) technology in the healthcare sector and to provide recommendations to overcome potential barriers.
Our white paper features commentary and analysis from leaders across HIMSS, each of whom have a birds-eye view of industry trends and the levers of change.
Rowe, S. (Winter 2019). From Paper to Electronic in multiple Skilled Nursing Facilities (SNF). Online Journal of Nursing Informatics (OJNI), 23(1). Available at http://www.himss.org/ojni
Hawai‘i Pacific Health was named a HIMSS Davies Enterprise Award recipient for leveraging the value of health information and technology to improve outcomes.
Truman Medical Centers was named a HIMSS Davies Enterprise Award recipient for leveraging the value of health information and technology to improve outcomes.
Explore three case studies detailing how King Faisal Specialist Hospital and Research Center used clinical decision support tools to improve cancer and influenza screening rates and implemented a smart room to improve communication and health outcomes.
This white paper shares a framework for building the digitally enabled health system of the future with a focus on health and wellness and a transformational impact on care delivery and quality.
eHealth Competency: An Essential Element in Patient Care and Improving Care Quality in Israel Case Study
A case study on eHealth competencies within a health system in Israel.
This case study focuses on the need for a more concise information and technology in healthcare education program focused on accommodating working professionals and outlines the development of a program offering an executive certificate upon completion.
Learn how to achieve easier data protection and improve, optimize clinicians’ access to critical apps.
Discover the challenges faced, the lessons learned and hopes ignited by one health system as they implemented AI and ML from the ground up.