Pharmaceutical Supply Chain with Blockchain: Drug Tracking, Tracing and Verification at the Last Mile
Under the U.S. Drug Supply Chain Security Act, pharmaceutical supply chain will need to trace prescription drugs as they're distributed. One study shares how blockchain can save costs and enhance data security to help ensure medications reach the patients who need them.
Women’s health innovation holds massive potential to break the barriers contributing to health disparities, but it’s taken a while to reign in more focus on the topic. Here’s why.
In a challenging environment, health systems are leveraging a variety of information and technology tools to combat the COVID-19 pandemic.
Here are four tips to help your organization improve its supply chain management through clinical integration.
Our guest writer shares how now more than ever, hospitals need to close the gap between IT and the healthcare business, and fully understand how this ties into the patient experience and care continuum.
Our guest writer explains CMS's Primary Care First model and how it enables primary care providers to shift to more value-based care for both general and high-needs patient populations.
Our guest writer shares how focusing on one function within revenue cycle management, prior authorization, can give insight into potential solutions for streamlining the healthcare system.
Health economist and HIMSS social media ambassador, shares there are green shoots in healthcare communities demonstrating that adopting a variety of digital health tools can boost economies.
Defining CRM in healthcare.
These nine essential principles of software usability can be applied directly to the evaluation of EMR systems for clinician practices.
In this Stage 7 success story, learn how Mount Sinai Medical Center leveraged the full capabilities of their EMR to provide high-quality care and increase provider engagement.
Out of more than 130 submissions and five finalists, Thrive was chosen for its proposal to evaluate the health-economic impact of earlier multi-cancer detection, and better identify and predict populations that will most likely benefit from this approach.