The Benefits and Barriers to RFID Technology in Healthcare
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.
The Importance of Social Determinants of Health in Determining the Right Clinical Interventions White Paper
Our guest writer illustrates how clinician knowledge of a patient’s social determinants of health can allow for earlier, more targeted clinical interventions.
Digital Health Passports: Key Considerations for Interoperability and Data Exchange
The HIMSS Interoperability & HIE Committee authored a white paper on the highly relevant and current topic of digital health passports, looking at vaccine passports amidst the COVID-19 pandemic.
The Status of Informatics/eHealth Integration in Medical and Nursing Curricula
The Global eHealth/Informatics Survey conducted by the HIMSS TIGER Initiative questioned educators teaching in medical schools and undergraduate nursing programs around the world to investigate if eHealth was integrated into their curricula.
Building a Mature Medical Device Cybersecurity Program
The cost of cyberattacks, combined with operational disruption to vital medical equipment and patient care, put healthcare facilities’ reputation and, most importantly, patient safety and outcomes at risk.
Cyberattacks Are on the Rise – How Healthcare Organizations Can Stay Ahead
Explore the escalating threats in healthcare cybersecurity tied to remote care, connected devices, and complex IT environments. Gain insights on key priorities for 2023 and beyond.
Physician and Nurse Informatics Collaboration Boosts Clinical Practice, Engagement, and Overall Digital Experience
This white paper reflects on the history and current state of the nurse-physician informatics professional relationship as an opportunity to align and standardize education, role definition and the overall effects of these specialties.
Section 5 - Navigating the Regulatory Landscape: An Analysis of Legal and Ethical Oversight for Large Language Models (LLMs)
Large Language Models in healthcare may be regulated as medical devices under FDA, MHRA, and EU rules. Developers must comply with data privacy and medical device regulations for LLM deployment.
Section 4 - Critical Elements to Manage with Generative AI, specifically LLMs
Explore the risks of generative AI in healthcare: hallucinations, validity concerns, bias management, and more. Learn how implementation choices impact safety.