Why healthcare is ready for generative AI – and generative AI is ready for healthcare

June 28, 2023

The past few years, wrought with challenges, have led to increased innovation and adaptation in healthcare technology. Health systems rapidly leveraged technology to meet safety standards during COVID, digitized care delivery where possible, and optimized capacity when increased constraints made efficiency critical to preserving financial solvency and patient access. In doing so they also developed the knowledge, experience, and infrastructures needed to continue adopting new solutions successfully. 

Many health system decision makers now know how to discern solutions that will support end users in their established processes and add immediate value to their organizations, as well as meet strict metrics of privacy and safety. Organizational leaders have established precedents for the change management strategies required to adopt this new technology, and IT teams have implemented needed cloud infrastructures and set high standards for data hygiene. These leaders are prepared to embrace the next technology advancement of utilizing and leveraging generative AI, and to reap the results of streamlined operations and improved patient and clinician outcomes. This begins with confirming how the technology fulfills the needs and supports the functions of its end users, the people who work throughout the health system.  

Generative AI can empower and activate healthcare staff to improve overall results

Generative AI is a real, working technology with tangible benefits that are directly applicable to healthcare operations. When properly deployed, it can draw on the wealth of existing healthcare data and give leaders, providers, and staff the insights and predictions they most need to supplement their skills and expertise. Through the use of large language models (LLMs), generative AI solutions can conduct human-like conversations with their users, giving immediate data-backed advice responses in helpful terms. 

A generative AI solution for hospital operations that is designed to plug into staff needs and create “air traffic control” across the health system is iQueue Autopilot from LeanTaaS. In practice, there are three key abilities generative AI technology like Autopilot can offer healthcare staff to enhance their decision-making and foster continuous improvement. 

Continue reading at Becker’s Hospital Review.

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Chapter 1: The Looming Challenge

If you work in the healthcare industry, or even if you’re just an interested observer, you don’t need a book to tell you that the financial pressure is on as never before. A perfect storm of circumstances is swirling together, one that will make survivability, not to mention profitability, a greater challenge for healthcare companies than we’ve seen in the modern era.

As with banks, retailers, and airlines, which had to rapidly enhance their brick-and-mortar footprints with robust online business models—it is the early movers eager to gain new efficiencies that will thrive and gain market share. The slow-to-move and the inefficient will end up being consolidated into larger health systems seeking to expand their geographical footprints.

The pressures on healthcare

Let’s look at just a few of the looming challenges healthcare must meet head-on.

An aging population

By the year 2030, the number of adults sixty-five years of age or older will exceed the number of children eighteen years or younger in the United States. We are living longer than our parents did. Positive news for sure, but problematic for several reasons.

The older we get, the more medical help we need. Older people have more chronic diseases. By 2025, nearly 50 percent of the population will suffer from one or more chronic diseases that will require ongoing medical intervention. This combination of an aging population and an increase in chronic diseases will create a ballooning demand for healthcare services.