
How AI can fill gaps caused by the health care worker shortage
AI-powered coaches can help to alleviate at least some of the worker shortage while at the same time reducing costs
Artificial intelligence is seeping into so many aspects of life that it’s no surprise it’s surfacing as a potential solution to the worker shortage haunting healthcare.
Maybe that idea gives you pause.
After all, the
Still, despite these legitimate concerns, the use of AI in health care could be a positive development, especially in the area of care management where patients need assistance to effectively participate in the management of their chronic conditions between provider visits, as well as in post-surgical recovery.
In these instances, AI-powered coaches can help to alleviate at least some of the worker shortage while at the same time reducing costs. Early results also suggest that AI-powered care can increase patient engagement and improve care quality.
But before we venture too far into the solutions AI offers, let’s review the underlying problems in health care that could make AI not only a welcome solution but a necessary one.
Worker shortage expected to worsen
The health care worker shortage is already severe and headed in the wrong direction. The most recent projections from the
The U.S. isn’t the only country facing a paucity of health workers. The
Between the worker shortage and rising health care costs, it’s incumbent on the industry to find alternative ways of providing needed care to patients, and one of the strategies for improving outcomes and controlling costs is care management. This type of care is primarily aimed at patients who have chronic conditions or are at risk of developing them, as well as at patients who are recovering from surgical procedures. Even if they are faithful about their provider appointments, these patients still must be carefully monitored and supported between visits. Are they taking their medications as prescribed? Are they adhering to a healthy diet? Are there any new warning signs? How is their emotional health?
Sometimes patients have more than one chronic condition – requiring more care at greater expense. They are often referred to as the 5/50s. Essentially, they represent 5% of all patients who generate 50% of healthcare costs.
AI care coaches will help
Because it’s so important for chronically ill patients’ health to be supported on an ongoing basis, care management programs funded by health insurers and risk-bearing providers arose as a way to provide this support between provider visits. Typically, the care coach is a registered nurse who interacts with a panel of high-risk patients, empowering them to be actively involved in their own care and coordinating with other members of the care team when necessary.
This monitoring generally doesn’t happen in person. Care coaches typically communicate with patients telephonically and may supply condition-related print and video materials. More recently, asynchronous email and text messages have become the primary communications channels.
Traditional care management has worked well in terms of outcomes and ROI, but it has had its drawbacks. The upfront expenses can be significant and check-ins by telephone have become less effective because many people ignore calls from numbers they don’t recognize. Additionally, the growing nursing shortage that affects other areas of healthcare has also had a negative impact on care management.
This is where AI comes in.
Imagine if patients with chronic conditions or who are recovering from surgeries had an AI-powered care coach who was available to them 24/7 via text or interactive video. Unlike a human coach, the AI-powered coach would be available on demand and at a fraction of the cost of a human coach. The AI-powered coach also could interact with others on the patient’s care team – including their primary care physician, specialists, and pharmacists – keeping them up to date and soliciting their direct involvement as necessary.
This is not just a pipe dream. AI-powered health coaches already exist – mainly in pilot programs and always in non-diagnostic capacities – in some cases supplementing the work of live nurse coaches and in other cases working independently. They function by ingesting and analyzing large amounts of health data, including clinical care plans, regulatory documents, medical manuals, and drug databases, and use AI algorithms to support each
The results so far are promising in terms of medical accuracy and both patient and provider satisfaction, and at a significantly lower cost than previous care management models.
It will take time for AI-powered care coaches to become fully “trained,” and for patients to become accustomed to them and trust them, but they have the potential to help save healthcare by filling gaps caused by growing workforce shortages while improving care and reducing costs.
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