An Evolution in Standards Supporting Specialty Medication Workflow
Here’s what you need to know about creating and utilizing standards for specialty medication workflows.
The Role of Innovation in Advancing Public Health Disease Investigation and Contact Tracing During a Pandemic Report
A global look at the efforts to implement contact tracing in the fight against COVID-19.
AI in Health: Innovating with Intent
Like all impactful forms of innovation, to work effectively, AI in health requires a well-balanced ratio of people, processes and technology.
Data Lakes: Insights on Diving Into Raw Data
While organizations are seeing the benefits of utilizing data lakes, opportunity remains to improve the quality and secure sharing of the data within.
Data Privacy and Telehealth: Protect the Data, Protect the Patient
Discover four best practices for data privacy and telehealth.
Spotlighting the Reality of Security Incidents and Other Cybersecurity Concerns in Healthcare
Our most recent HIMSS Cybersecurity Survey shines a spotlight on security incidents and the new realities of cybersecurity.
Connecting Information to Create a More Equitable Health System
Listen in to this on-demand webinar as we uncover the driving forces behind each HIMSS initiative as they advocate for the systematic changes needed to increase health equity and improve individual and global wellbeing.
Guiding Principles for Better Data Interoperability in Healthcare
Our guest writer shares five principles for data interoperability that create huge advantages for all healthcare stakeholders—clinical as well as nonclinical.
Interoperability: How to Measure Data Interoperability and Communication Across Health Systems
Learn how data interoperability can help the healthcare ecosystem achieve digital health transformation in this second part of our four-part series.
Sharing Data Across the Care Continuum: Perspectives from Long-Term and Post-Acute Care Case Studies
Read the experiences of three long-term care and post-acute care groups as they call attention to several important realities impacting data exchange that affect continuity of services and treatment during transitions of care.
Removing Data Bias from AI and Machine Learning Tools in Healthcare White Paper
Our members discuss the importance of unlocking the benefits of AI and machine learning in healthcare in a way that combats data bias, rather than exacerbating already present and widespread inequity.
Patient Data Sharing: Lessons Learned and Opportunities Ahead
The pandemic has emphasized the need for patient data to be easily shared and has revealed gaps in the way data is recorded, aggregated, normalized and interpreted—again becoming more clear as we determine how, when and to whom the COVID-19 vaccines will be administered.