health care

Embedded in the Hippocratic Oath is the principle that doctors should always provide optimum care for every patient, and now there is a new AI tool that shows promise in helping doctors diagnose and treat patients faster, without compromising proper care.

“Get ready to revolutionize the way you leverage data in healthcare,” says Vinay Samuel, CEO and Founder, of Zetaris, a firm specializing in data analytics. “Our cutting-edge AI studio empowers clinicians and healthcare providers to unlock the full potential of data, drive smarter decisions and deliver superior patient outcomes.”

The Zetaris Healthcare Studio is trained by medical professionals for medical professionals, and taps into health history, optimizing patient care. Historical-based data can be hard to amalgamate, but the Zetaris Healthcare Studio does the otherwise arduous work of compiling information, including relevant statistics, in mere seconds, according to the company.

The “Next Generation” Zetaris Healthcare Studio “facilitates enhancements in triage, enabling healthcare professionals to expedite decision-making processes. By leveraging data from numerous past cases, they can ascertain the appropriate treatment pathway more swiftly than ever, thereby expediting triage and enhancing resource allocation. The Zetaris Health Care Studio serves as a potent instrument for swift and precise disease detection.”

Zetaris presented its Healthcare Studio during the weeklong Healthcare Information and Management Systems Society, (HIMSS) Global Health Conference & Exhibition 2024, held in Orlando, Florida, from March 11-15, 2024. The state of AI in healthcare was certainly the prevailing topic of the week-long conference, considered the premiere health information and technology event of the year. There were hundreds of references to “AI” in the conference catalog.

“The exponential increase in data generated daily by various healthcare systems necessitates a fresh approach to data management to furnish accurate, curated, and reliable information for AI and analytics. Zetaris rises to this challenge by equipping healthcare and life science providers with advanced capabilities to harness the potential of data and AI within a unified workspace. Clinicians can now leverage data and AI to streamline their human-centric processes, significantly enhancing medical outcomes.”

Some of the examples of what the Zetaris Healthcare Studio can do were highlighted:

  • Emergency departments can utilize data alongside AI and machine learning (ML) to prioritize and enhance patient care.
  • Life sciences can expedite the development of novel solutions aimed at alleviating human suffering from chronic diseases, thereby alleviating pressure on hospitals and the aged care system.
  • Laboratories can operate independently or collaborate to glean rapid insights from real-time integrated data.

The conference included a topic that is perhaps at the forefront of the AI revolution when it comes to healthcare- the potential of it to “democratize healthcare knowledge, access, and to recover efficiencies.”

Other topics included how to best integrate AI tools into the workplace, and the risks and challenges of AI in healthcare. “While the opportunities and potential of AI have generated enormous worldwide excitement, attention must also be paid to the downside risks and how to manage them.”

According to the American Hospital Association, one of the greatest applications of AI in diagnostics has been with imaging.

“The one that’s nearest and dearest to me is AI-based assistance for lung nodule detection on CT scans, but there are similar stories around breast imaging and other areas, where AI is being used by radiologists to augment their clinical decisions,” said Juan Rojas, M.D., a pulmonary and critical care specialist at the University of Chicago and an expert in the application of machine learning to electronic health record data.

AI’s ability to recognize and process a great amount of both structured and unstructured data has led to nearly 400 Food and Drug Administration approvals of AI algorithms for the radiology field.

According to the Association, hospitals generate massive amounts of data annually. On average, there are 3.6 billion imaging procedures performed every year, and 97% of that data goes unused. With AI, such as the Zetaris Healthcare Studio, such data could be integrated through machine learning, so that it can allow healthcare workers to leverage the information to make more accurate diagnosis, according to the Association.