blog

By Barry Holleman As a healthcare supply chain professional, you want to support your organization’s strategic imperatives by becoming more agile, precise, and proactive. You understand the impact your department can have on improving cost, quality, and satisfaction, but too many visibility gaps stand in your way. You know outliers exist within your vast ecosystem …

Expect the Unexpected: Identifying Outliers in Your Supply Chain Read More »

By Korina Fischer Have you been to the IDN Summit & Reverse Expo? If not, I highly recommend it – it’s an amazing event full of must-have information. I recently returned from the Spring 2022 summit, where I had the pleasure of speaking to some of the brightest minds in supply chain today. One of …

Challenges & Opportunities for IDN Supply Chains: Q&A with Brent Petty, CMRP Read More »

As Markets for Healthcare Information Systems Cool, Demand for Artificial Intelligence Heats Up By Barry Holleman Globally, markets for hospital and healthcare information systems will see single-digit growth over the next few years, with a projected compound annual growth rate (CAGR) of 8.4% and 7.8%, respectively. That’s a sign the information systems markets are maturing, …

Worldwide Demand for Healthcare AI Is Booming Read More »

By Korina Fischer As the ability to amplify human intelligence with AI-driven decision support continues to evolve in the healthcare supply chain, the tide of transformation is rising. According to a recent analysis in the Harvard Business Review, “Across many industries, digitally transforming the supply chain has been shown to reduce process costs by 50% …

Predictive Modeling, Scenario Planning & Simulation in Healthcare Supply Chains Read More »

Dirty data can easily derail any big data analytics project, especially when bringing together several healthcare data sources that may record clinical or operational elements in slightly different formats.  Several data conventions in healthcare hinder the widespread use of data analytics. Currently, health care data are split among different entities and have different formats such …

The tales of dirty healthcare data – learnings for healthcare AI Read More »

Pioneering the functional application of artificial intelligence in the healthcare enterprise, MUUTAA seeks out the areas where sufficient data is at the disposition of our partners to deploy intelligence and reduce time spent on repetitive tasks or tasks with a high cognitive burden. The ultimate goal being to elevate care givers to perform higher value …

3-step evolution of AI in the healthcare enterprise Read More »

There is tremendous complexity involved in developing AI and machine learning solutions that meet a business’ actual needs. Developing the right algorithms requires data scientists who know what they are looking for and why, to cull useful information and predictions that deliver on the promise of AI. However, it is not feasible or cost-effective for …

Why AI-as-a-Service gains traction in the healthcare C-suite Read More »