Our Top 10 Most Read Resources from the Past Year
As we start 2021, we wanted to revisit our top 10 most read resources from the past year, both to reflect back on the challenges of the past year and to use the lessons learned as a guide for the new year.
Patient Safety and Cybersecurity: Seeing the Bigger Picture
Our director of privacy and security shares how healthcare organizations need to think beyond their EHR when it comes to patient safety and cybersecurity.
Engaging with Academic Medical Centers for Digital Innovation
Our guest writer outlines the major stakeholders within an academic medical center to help digital health companies navigate the process of engaging for digital innovation.
From Disruptive Innovation to Disruptive Processes: What’s Ahead in Healthcare
We asked our members what they anticipate to be the biggest disruptor ahead for healthcare—the conversation around disruptive innovations mentioned several technologies, but it also focused on change elements that are not strictly technologies.
Five Cybersecurity Strategy Tips for Third-Party Risk Management
If you’re looking to streamline and improve your organization’s third-party cybersecurity strategy consider these five lessons learned from professionals in the healthcare industry.
OJNI Stepping up to APA Seventh Edition Guidelines
OJNI requires that all new manuscripts be formatted using this new seventh edition, but in a modified way to best suit the online format.
Prioritizing Patient Safety Success Stories
Here’s four different examples of health systems innovating for improvements in patient safety.
Smarter Supply Chain Management: Four Ways to Increase Clinical Integration
Here are four tips to help your organization improve its supply chain management through clinical integration.
Healthcare Interoperability and Its Impact on Administrative Burden in the Age of Machine Learning
Interoperability is the ability to transfer healthcare-related information across systems and organizational boundaries. This article focuses on reducing administrative burdens tied to interoperability and machine learning.
Artificial Intelligence in Health: Ethical Considerations for Research and Practice
This article examines four core principles necessary to address the design, development and use of AI technology and ethical considerations for research and practice.
Advancing Patient Experience and Outcomes with Analytics
This article explores the social determinants of health impact on healthcare and ways to close critical care gaps, including cancer screenings using advanced analytics and psychographic segmentation to identify at-risk patients, tailor communications and care settings, and increase patient engage...
Data and Prevention’s Place in Digital Health Engagement
This article explores one health care professional's pivot away from acute care and down a career path focused on modifying patient behavior, promoting healthy actions and reducing patient health threats, thereby focusing on empowering patients to avoid high-risk health scenarios, to en...