Learn about salary and benefits in the field of nursing informatics.
The HIMSS Nursing Informatics Workforce Survey captures nursing informatics salary, professional status and practice trends while identifying changes that have occurred in the nursing informatics workforce.
HIMSS provides recommendations on cross-sector issues related to the application of blockchain-enabled solutions in healthcare as a means to further educate the public and help guide the work of policymakers and regulators.
This study in the Online Journal of Nursing Informatics aimed to learn how and why patients select telehealth and about perceptions of adult patients in an urban setting when telehealth encounters were available.
The HIMSS U.S. Leadership and Workforce Survey reflects the perspectives of the country's health information and technology leaders on a myriad of topics influencing the healthcare sector
Successful Implementation of Electronic Trauma Documentation in a Level III Trauma Center- It Can Be Done!
Burnie, J., Heist, C., Hardin, E., Donoghue, K., Dunigan, K., & Sheets, K. (July, 2018). Successful Implementation of Electronic Trauma Documentation in a Level III Trauma Center- It Can Be Done! Online Journal of Nursing Informatics (OJNI), 22(2)
Mobile Technology, Just-in-Time Learning and Gamification: Innovative Strategies for a CAUTI Education Program
ONeill, K., Robb, M., Kennedy, R. Bhattacharya, A., Dominici, N. & Murphy, A. ( July, 2018). Mobile technology, just-in-time learning and gamification: Innovative strategies for a CAUTI education program. Online Journal of Nursing Informatics (OJNI), 22(2)
The purpose of this policy is to establish guidance on short message service (SMS) text messaging by members of the healthcare workforce and address security risks presented by SMS text messaging [Lisa Storck].
Novice Nurse Preparedness to Effectively Use Electronic Health Records in Acute Care Settings: Critical Informatics Knowledge and Skill Gaps
This paper proposes a Complexity Segmentation and Care Integration Model (CSCIM) that integrates population and primary-care data, using a chronic-disease algorithm that divides the population into cohorts based on complexity and comorbidity.