As for me, I am obsessed with application of AI in all aspects of public service and healthcare in India. Almost nothing is perfectly in position. I do not blame our authorities for it, they are brilliant people. It is the sheer number what is at the root of all problem. It is a country of 130 crore people. It is an unmanageable number in a democratic set up.
Go to a municipality office, you will see an unwilling clerk is attending a huge number of tax-payers desperately waiting for service; go to a bank branch, you will see a group customers waiting and the counter man has no time to look up to his customers; go to a hospital where a long queue of patients writhing in pain, waiting for the doctor impatiently; go to a police station to lodge a complaint against local hooligan, your ordeal starts . The list is endless. It is a story of multitudes, its a story of want, negligence, deprivation, inefficiency, and ignorance. Resources widely fall short of demand.
In view of above, we need to introduce AI which may help to meet the gap. In this connection , I have collected an article on AI , and reproduced below, in sharing with you all. Please read on.This article says how introduction of AI in healthcare can help us.
[[[A closer look at how AI works; how it can be integrated into the current healthcare delivery mechanism of the country and what are some of the other challenges AI faces in this space.
Artificial Intelligence(AI). A concept which has recently entered India and is slowly making its mark in various sectors and services. Healthcare startups along with hospitals are in the process of integrating AI into their workplaces to optimize the healthcare services delivery. This piece addresses two main questions – How do you integrate AI in the sector; how does one trust AI to do the right job?
Before we get about answering these two questions, it becomes essential to know what AI is and how it planned on being used in the healthcare services space.
WHAT DOES AI HAVE TO DO WITH HEALTHCARE?
In a country like India where the doctor-patient ratio is in a horrible state (1:1700 as opposed to 1:1000 per WHO standards), AI can take the country’s existing healthcare delivery and further accelerate the process. In fact, AI is the only thing which can bridge the inequalities in this sector. AI will also be paramount in processing large volumes of cases and data, allowing more immediate, effective healthcare delivery. For eg, AI is capable of figuring out which will be the next seasonal epidemic and effectively dealing with this situation. It can scour through all oncology journals and combine the research to come up with an actual cure for cancer.
In addition, the current world revolves around data. Medical data is a crucial part of online data and increasingly more people often google their symptoms expecting credible results. Another factor to keep in mind is the fact that AI and Deep Learning is becoming a central point for most of today’s innovation in the technology space and healthcare data is a part of this phenomenon too.
HOW DOES AI INTEGRATE INTO THE HEALTHCARE SPACE?
“We are taking healthcare beyond the boundaries of hospitals and specialized clinics, and augmenting doctors with our artificially assisted technology. We currently work with hospitals to assist their physicians in diagnosing diseases, and also with providing new patients,” says Pradeep Walia, co-founder of Artelus. His team adds “As part of our focus on screening we filter out people who are healthy and only send the ones that need medical care, thus reducing the burden on the healthcare system through unwanted tests and diagnostics. We provide a complete screening solution which can be easily integrated with hospital/clinic’s infrastructure. Any hospital staff or medical assistants can effectively use it to screen patients.”
Artelus is just one company within this tech-cum-medical AI space. Many such companies exist in the country and several others get added to the list each year. Sigtuple, another AI healthcare company is involved in helping the healthcare delivery process by making it easy to perform blood tests and more. “The solution for blood, Shonit™, has already undergone three clinical trials and will be soon available for user adoption followed by commercials. Other solutions are in the advanced stages of development,” says Rohit Kumar Pandey, Co-Founder, and CEO of SigTuple.
There are several others players in this space. A key challenge in this space would be to integrate AI into the existing hospital infrastructure. One can only assume that the upper echelon of hospitals adopt these technologies and start a trickle-down effect. In addition, as this sector becomes increasingly mature, companies which cater to the small/personal setup healthcare clinics using AI will become increasingly common.
HOW DOES ONE TRUST AI TO DO THE RIGHT JOB?
“This is a very nascent and emerging field, and it is natural to be skeptical about it. We envisioned that, and have always emphasized the usage as a doctor assistance, or a virtual assistant to the doctor, thus increasing the doctors’ productivity, allowing them to see more patients, faster. And also to help them be more accurate with our tools as a second opinion tool.” the Artelus team has to say. But before all thumbs up are given, it becomes essential to look at the stakeholders in healthcare services to figure out if AI has a space in the Indian healthcare ecosystem.
The three key stakeholders are patients, doctors, and engineers. AI technology must achieve a check mark from all three.
Let’s take a look at engineers first. Most engineers trust artificial intelligence to perform a good job. Quoting examples of Apple’s ‘SIRI’ or Amazon’s ‘Alexa’, engineers have collectively been at the helm of developments in the AI space. Using data-driven methods such as deep learning, engineers stand firmly by AI. “AI learns only what we teach it to learn. Specialised AI programming for healthcare and other industries will be the gateway for the future. In fact, I believe they will mark the calendar date where Earth has an explosion of data. When talking about trust, it becomes essential to understanding learning. Teaching AI to do particular tasks is the same as teaching children multiplication. It takes time to trust the kid to do multiplication which has global effects. The same holds true for AI.” says Srinidhi R, engineer at 42hertz” who adds, “How does one trust humans to do the right job anyway? Humans are more capable of making errors based on their fatigue levels, stress levels, emotional levels and how they want to see their career grow; AI isn’t limited by this.”
Next, doctors. AI needs to be a proven technology before doctors give their trust to it. Unlike engineers, who might be happy with a 97% success rate, doctors cannot take this risk. 3% of failure in getting exact results is extremely detrimental to medical practices and can have grave circumstances on 3% patients. However, it must be pointed out that these errors can occur from a human being too. Another key point, AI does not aim to replace or displace doctors from medical practices. This is impossible from both a machine and human viewpoint.
AI is merely present to enhance doctor skill, diagnosis practices and help treat a patient in a more wholesome manner. Not just that AI will help reduce the number of cases that come to hospitals. It is estimated that over 90% accidents happen due to human errors; automating driving will reduce the hospital strain and resources on accident and trauma victims by roughly the same factor.
The last, and the most unique of these subsets, patients. Patients, unlike doctors and engineers, in most cases, have next to no idea about how either medicine or AI works and they make-up the biggest section of the stakeholders in this ecosystem. Due to misinformation, skepticism and the various challenges associated with the dissipation of technology, patients will be the hardest to convince in terms of AI benefits. Another big challenge associated with patients, is that they are going to spend the least time with AI. Convincing someone of the benefits of items they rarely interact with is absurdly complicated and challenging. Patients would much rather have their surgery performed by a human beings, humans that breathe and move and have the innate ability to get untimely cramps. A machine in this situation, is much more trustworthy and reliable at dissipating the right kind of treatment.
To sum up, one thing is clear, AI will have a noticeable impact on healthcare delivery. The extent to with which it will penetrate this space is unclear but it is definitely going to make it easier to minimize the problems that comes with a 1:1700 doctor-patient ratio. Another thing that can be said with certainty is that AI isn’t restricted to just the medical end; it has many other applications in healthcare space including record management, treatment scheduling, precision medicine, drug creation, patient communications and even facility design. It will, by all means, promote more empathy and human connect as machines will take over certain sub-sections of each jobs allowing more time for interpersonal relationships to develop. With all these possible application, AI is definitely going to be a game changer in the healthcare space. Time and technology will tell if the game is changed for the good or the bad.]]]