How Can We Use AI in Healthcare?

Every day in the life of a doctor is beyond hectic and some say it can even be compared to a fire in different situations. The first can be compared to that of a fire within a garden or in other words, an inpatient that is deteriorating rapidly or even one who is in bad need of a scan and is being forced to wait too long. The other can be compared to a fire taking place down the road and it begins to challenge the overall delivery care; this particular situation even goes on to affect delay time while ensuring staffing needs are met.

And the third fire is the one that occurs a great distance away and these are said to be the last on the list of priorities. However, this particular category has seen the most when it comes to improved services. Times have changed and Artificial Intelligence (AI) is now being used within this particular field due to the fact that it falls either third or second when it comes to patient care. “This is Going to Hurt” by Adam Kay is a brilliant example of the reality doctors face on a day to day basis.

So, if you’re interested in learning about these challenges faced within the system, you’ll want to check out Henry Marsh’s “Do No Harm”. Both are exceptionally well when it comes to delivering effective patient care within the system.

Ignoring Sensationalism

More than often enough, we expect that patients be the number one priority. However, due to limitations within the workforce, we can easily expect to see a huge stall in data. In most cases, there is always a limited number of doctors who are even willing to join in on such an important discussion. Simply put, patient care will never be able to advance if we all continue on with this mindset or lack of action.

AI is being sensationalised tremendously by the press; however, professionals and organisations can easily indicate where it can actually be used to render some help. It has been widely said that patient anxiety and clinic staff anxiety can be reduced when critical life functions are adopted. And it even also limits the continued disappointment that is left when tech is sold too much and too fast within this particular system.

With that said, clinical responsibility shouldn’t remain in the hand of a machine only. It is neither ethical nor possible to do this since there are still a number of implications which need to be controlled. And when clinic staff has been trained by the best in their desired fields, there is simply no match by a machine. However, full control wouldn’t just be given to machines for quite a while.

And while humans make countless mistakes, there is a simple misconception that machines wouldn’t and shouldn’t. Clinical AI still has a long way to go since they need to observe and learn from humans all while improving in order to reduce the risks involved. In essence, this can be classified as augmented rather than actual artificial intelligence.

The Conundrum

Another huge issue is the fact that first-time job seekers may not even get employment due to the fact that they need experience before being hired. Simply put, how can AI be used when doctors are stretched to full capacity since AI requires a great deal of help in order to learn. Hence, we should in no way expect any doctor to choose developing AI instead of patient care. However, we can facilitate the inclusion and engagement of a wide range of doctors and not just a selected group.

Often enough, doctors are faced with a overflow of patients who struggle every day to properly understand and even fight their disease. In these cases, it is not even realistic, relevant or helpful to even suggest replacing a care team with any form of AI.

The Solution

We’ll firstly need to improve the overall clinic life. And some appointments can even be conducted via telemedicine. If these are to be implemented, we’ll also need to look at digital tools to give ensure that patients have access. And we’ll also need to ensure that the workforce is properly trained at least up to HIMMS level 7 in the UK to handle digital tools.

Additionally, we’ll need to take a closer look at analytics in order to gain insight on the experience of both workers and patients. So, we should start making use of insight and data to extinguish the fires within this field. This will surely create additional time for dealing with patients!

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