With the need for healthcare employees projected to rise in the future years, the loss of personnel – particularly those who choose to leave the industry entirely – poses a serious threat to hospitals and other medical institutions that are already overburdened with people.

Many of these are currently bearing fruit. Here are five healthcare advances that we expect to see gain traction in 2022.

More burnout-busting solutions are on the way, according to the experts.

Burnout has long been a problem for healthcare workers, but Covid-19 exacerbated the problem. Indeed, 79 percent of radiologists, neurologists, cardiologists, and critical care specialists who claim they are burned out today were equally burned out prior to the epidemic.

An excess of administrative chores and the "data flood" required to track and follow-up with patients — a long-standing issue exacerbated by the tidal wave of patients suffering with Covid-19 – are a major source of stress and exhaustion.

The new golden age of neuroscience is upon us

Fortunately, technological advancements are easing the load. Clinicians are able to examine mounds of patient data more quickly and efficiently, while also eliminating some repetitious duties, thanks to new and improved algorithms.

Clinicians will determine which AI tools are appropriate for their needs.

Continuing on from the previous point, advances in data analytics and artificial intelligence are providing clinicians and support workers with a plethora of new tools to help them complete their tasks more efficiently. Is it true, however, that they are doing their job?

The learning curve, as with any new technology, can be severe at times. According to a recent survey, slightly less than half of the AI technologies being studied by radiologists that could directly help to patient care resulted in an increase in the number of exams a radiologist can conduct in a given period of time. The majority of the others do not modify that number (and thus the radiologists' efficiency), but they could nevertheless have a direct impact on patient care.

When it comes to using AI to improve off-device workflows, whether operational or clinical, multi-modal datasets (population health information, social determinants of health, genetic information, economic status, multi-modal clinical data, etc.) tend to be more accurate and precise than single-factor data models (single modal information).

But, once again, technology is coming to the rescue, with innovations that promise to make health equity a reality for practically everyone by opening up new avenues to care. Telehealth exploded in 2020 as a result of necessity, but it is now the preferred delivery option for millions. Patients in rural locations or those who have trouble arranging transportation to the doctor may benefit from remote monitoring devices. Furthermore, predictive analytics is assisting in the identification of at-risk patients before they develop a disease so that preventative measures can be performed.