Explore five critical skills, from patient-centered operations to data-driven strategy, and see how Vedere University’s online MSHM equips Tampa healthcare leaders for tomorrow’s challenges.
Orlando firms crave talent that turns data into profit. Explore Vedere University’s online MSc in Applied Data Science & Machine Learning and learn how its problem-based curriculum builds work-ready skills in one year.
Vedere University's online MSc in Healthcare Management offers working professionals in Clearwater, FL, an expert-designed path to lead change in healthcare systems.
The Future of Machine Learning Machine learning (ML) is an explosively growing field. Lots of industries are being reshaped by new techniques – reinforcement learning and generative adversarial networks included. How will this field’s future affect those working in it? What’s the outlook? Reinforcement learning: It’s the start of something big. Reinforcement learning
The constant growth of cryptocurrency and blockchain technology, which describes a digital ledger, is penetrating further into every sector, from finance to supply chain. And as this growth happened, so did demand, intense demand, for meticulously trained people. An MSc in Digital Currency and Applied Blockchain Technology has been proposed by the Vedere
This is the final article in our series exploring how multiple chronic conditions (comorbidities) can elevate a patient’s fall‐risk scores. We’ve covered: Now, let’s discuss where we go from here: validating our custom tool, collaborating with others, and potentially designing longitudinal follow‐up to deepen our understanding of fall prevention. 1. Validation: Why It
In our previous articles, we discussed the importance of analyzing comorbidity‐related fall risk, outlined our 24‐item survey, detailed the study’s methodology, and revealed key findings—an average 8‐point difference in total scores between those with fewer vs. more comorbidities. Now, it’s time to illustrate how these statistics translate into real‐world situations and lived experiences.
In our first three articles, we discussed the importance of analyzing fall risk in patients with multiple health conditions, explained our 24‐item survey, and detailed the methodology behind it all. Now, let’s look at the actual results from our 673 participants—and see just how much having two or more comorbidities can shift a
In the first two articles, we highlighted why we care about comorbidity‐related fall risk and how we created a 24‐question, 1–5 survey to capture subtle yet critical mobility factors. Now, it’s time to step into the nuts and bolts: our data‐collection process, participant demographics, and the statistical approach we used. Who Participated? Comorbidity
Falls are not only a leading cause of injury but also a significant driver of healthcare costs and patient distress—especially for older adults or those juggling multiple health issues. We often hear about how one bad fall can disrupt a person’s independence for months or even years. But why are certain people at
