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In the news: AI and machine learning are boosting efficiency and addressing staffing shortages in healthcare

Today’s healthcare industry is facing many major challenges — from staffing shortages, supply chain issues, and increased cybersecurity threats. 

Meeting these challenges head-on has become a key priority for healthcare leaders and innovators, and although artificial intelligence has been spoken about for a long time, the promise of AI is now coming to fruition as healthcare systems are utilizing AI and machine learning to automate and drive efficiencies — supporting their staff, enabling better patient care, and improving critical workflows. 

MedCity News recently detailed how AI is becoming the backbone of modern healthcare, while RFID Journal profiled how Cognosos’ AI-powered RTLS is changing the value proposition of modern asset tracking, helping hospitals do more than just find equipment. In addition, with mounting cybersecurity concerns, it’s important to note that Cognosos’ machine learning technology is independent of patient devices, further underscoring the security aspect as highlighted in our previous blog.

On the topic of cybersecurity and machine learning, The Association for the Advancement of Medical Instrumentation (AAMI) recently published a consensus report for identifying, evaluating, and managing risk for healthcare technology that incorporates artificial intelligence or machine learning. See the report and get more insights in this month’s latest news roundup: 

AI, Machine Learning Provide Real-Time Location with BLE

RFID Journal 

RFID Journal spoke with Adrian Jennings, Cognosos’ Chief Product Officer, to learn how AI and machine learning offer an alternative to standard RTLS technology that could increase efficiencies, and reduce infrastructure and deployment costs. 

When discussing ProPAR—a suite of features and dashboards that supports central supply and biomedical engineering teams in turning reactive work into proactive processes by providing instant visibility to asset counts and PAR level thresholds—Jennings said: “It’s making the clean room intelligent … The clean room actually reaches out and asks to be replenished when it knows that its stocks are falling.” 

Read the full article to learn more.

New MedTech Guidance on Risk Management for AI, Machine Learning


AAMI has published a consensus report for identifying, evaluating and managing risk for healthcare technology that incorporates artificial intelligence (AI) or machine learning (ML).

This guidance is in response to an urgent and immediate need as existing standards for regulated medical devices do not yet adequately address the potential risks of emerging AI and ML applications, which “could jeopardize patient health and safety, increase inequalities and inefficiencies, undermine trust in healthcare, and adversely impact the management of healthcare,” the consensus report states.

How AI is helping to address staffing shortages in healthcare

MedCity News 

Within five years, as increased healthcare demand and retirements continue to outstrip new recruits, healthcare in the United States will be 3.2 million workers short. Considering this reality, there’s no doubt that AI will become the backbone of hospital operations in the future—automating the healthcare operating system and taking a load off of the hands of heroic, and exhausted, medical professionals. 

See how AI is driving efficiency through patient management automation, resource planning, and more. 

Machine learning is making huge strides in the healthcare sector

Analytics Insight 

Machine learning is starting to fulfill its potential for healthcare, from facilitating more effective drug research and development to enhancing patient care and clinical workflows. In the coming years, widespread adoption of machine learning and other AI technologies is likely. Rather than completely replacing clinicians, these technologies are likely to complement and enhance their roles. Learn more about 9 emerging machine learning trends in healthcare. 

Data Security Must Be Prioritized In The Healthcare Industry


In order to safeguard our healthcare data systems, data security must immediately become a strategic agenda item for healthcare executives. Now, more than ever, it’s critical that hospitals and health systems have proper cybersecurity measures in place that allow them to quickly identify, respond to and report any intrusions—not only to limit operational disruptions but to protect patients’ health and safety.

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