Will Ai Take Over Healthcare? - 2024, Health Blog

Will Ai Take Over Healthcare
Who gets the profits? – The researchers also considered what would happen to the value chain in healthcare if AI were to become a complement to physicians, rather than a substitute. The value chain includes all the parties who contribute to and benefit from it: the patient, doctor, nurse, healthcare system, drug company, insurance company, and so on.

As with the production of any good or service, healthcare can create value—including better health for patients, wages for providers, and profits for companies—and incur costs.
Because physicians play such a central role, they often capture a large portion of the value in the form of very high salaries.

If AI took over diagnosis and treatment decisions, one might expect doctors to become less valued and for their wages to sink accordingly. On the other hand, might doctors end up receiving even higher salaries, if they can issue faster or more-accurate medical decisions with AI’s help? Although doctors may become more productive, they won’t necessarily reap financial benefits, Dranove says.

Instead, the healthcare system is more likely to capture the additional value through higher profits.
For example, the organization might improve its healthcare quality metrics and thus argue to an insurance company that they should be paid more.
Doctors will not be replaced by AI, but they may not directly profit from it either,” Dranove says.

And it’s not clear if even the healthcare organization will get monetary rewards. Medical care in the United States is often based on a fee-for-service model. If AI reduces overtreatment and leads to fewer procedures, “you’re losing money,” he says. Organizations therefore might not have a strong financial motivation to develop and use AI, even if it improves patient outcomes.

Is AI the future of healthcare?

How AI Is Transforming Healthcare Delivery – Artificial intelligence is a powerful tool for healthcare and hospitals, with the ability to improve patient outcomes and patient satisfaction. It has already made significant headway in drug discovery, data analytics, robot-assisted surgery, and virtual nursing assistants.

Is AI a threat to healthcare?

Possible Security Risks – The most obvious and direct weakness of AI in healthcare is that it can bring about a security breach with data privacy, Because it grows and is developed based on information gathered, it also is susceptible to data collected being abused and taken by the wrong hands.

Will open AI replace doctors?

AI Doctor – Can AI replace doctors? This is such a hot topic. AI certainly cant replace doctors however it is definitely capable to help doctors and medical students with their day to day task. I made this app for doctors and medical students (using ChatGPT API) so that they can get differential diagnosis for any sign, symptom, report, history, or condition.

They can also get the normal range for any blood investigations for their patients and access information about any drug or medicine, including side effects, adverse reactions, precautions, and contraindications. Furthermore, doctors can get information about any medical condition or disease, including symptoms, signs, investigations, prevalence, treatment, and prevention, as well as recommended investigations for a patient or a suspected diagnosis or condition.

Fortunately, its approved by Google and its now on PlayStore. Hopefully it will be approved in Apple store soon. Please review this and let me know how it looks and if you have any suggestions. Primary feedback that I received from doctor friends is very encouraging.

Will robots take over the medical field?

Healthcare will always need humans in the future – There is a suggestion that investors like Vinod Khosla don’t really understand the medical sector, and therefore his suggestion isn’t really based on proper knowledge. A report by Carl Benedikt Frey and Michael A.

Osborne from the University of Oxford suggested that medical records, medical transcriptionists, and health information technicians, and medical secretaries are the most likely jobs to be computerized in the future. It suggested that physicians had around a 0.42% chance of their profession becoming automated.

That isn’t to suggest, however, that AI will appear in healthcare in the next 10-15 years. For instance, many believe that in 10 years’ time, AI will be routinely used in NHS practices. And others suggest that within three years, we could see a lot of machine learning algorithms being used in clinical pilot testing and being approved by the US.

How many years will AI transform the healthcare industry?

The future of AI in healthcare – We believe that AI has an important role to play in the healthcare offerings of the future. In the form of machine learning, it is the primary capability behind the development of precision medicine, widely agreed to be a sorely needed advance in care.

Although early efforts at providing diagnosis and treatment recommendations have proven challenging, we expect that AI will ultimately master that domain as well.
Given the rapid advances in AI for imaging analysis, it seems likely that most radiology and pathology images will be examined at some point by a machine.

Speech and text recognition are already employed for tasks like patient communication and capture of clinical notes, and their usage will increase. The greatest challenge to AI in these healthcare domains is not whether the technologies will be capable enough to be useful, but rather ensuring their adoption in daily clinical practice.

For widespread adoption to take place, AI systems must be approved by regulators, integrated with EHR systems, standardised to a sufficient degree that similar products work in a similar fashion, taught to clinicians, paid for by public or private payer organisations and updated over time in the field.

These challenges will ultimately be overcome, but they will take much longer to do so than it will take for the technologies themselves to mature. As a result, we expect to see limited use of AI in clinical practice within 5 years and more extensive use within 10.

It also seems increasingly clear that AI systems will not replace human clinicians on a large scale, but rather will augment their efforts to care for patients. Over time, human clinicians may move toward tasks and job designs that draw on uniquely human skills like empathy, persuasion and big-picture integration.

Perhaps the only healthcare providers who will lose their jobs over time may be those who refuse to work alongside artificial intelligence.

Is AI a risk to humanity?

Artificial Intelligence has proven to be a quantum leap that has taken the world’s technological advancement to a whole new level. It is predicted to completely change our way of life. We can see it in smart phones, homes, autonomous vehicles, self-diagnosis of health problems and personalized treatment.

It is a technology that allows computers to perform tasks that normally require human intelligence and can also be used in many areas of our life, from self-driving cars to medical diagnoses, enabling machines to understand their environment better and make decisions autonomously. The spread of Artificial Intelligence is frequently applauded for making things a lot easier and a lot less time-consuming.

However, AI poses great ethical, social and legal challenges and threats to our societies as some people claim that it will wipe out jobs for humans. But this claim needs to be examined in detail because if it were to be true, the development of artificial intelligence should stop and other technologies such as nanotechnology or quantum computing ought to be invented.

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It is important here to understand what “human” actually means when it comes down to AI techniques because there are some misconceptions floating around about what it really means in terms of job loss concerns based on how fast machines are evolving at the present time without any human intervention whatsoever; notwithstanding, this fear is not necessarily grounded in reality as well since most experts agree that while advances may seem sudden initially or sometimes scary, eventually everything balances itself out naturally over time without having any further impact whatsoever beyond what happens naturally.

However, if artifical intelligence becomes amazing in all areas, there will be few new opportunities as well.
The reason for this is due to the nature of human beings and their need for creativity and innovation.
If a robot can do everything from coding to designing clothes and furniture, then why would someone hire them? The truth is that we do not know what those new jobs will be like.

In fact, it’s possible that they would not even exist at all! We may need to rethink our work purpose if these technologies take over completely — that means something entirely different than just replacing humans with machines. This would make people not to have a place to live and countries like Nigeria would not collect tax revenue, so they would have little money to pay the basic income.

If AI can make this happen, it is a bad scenario but luckily, it has serious limitations that may prevent it from taking over human jobs completely in the future. Lastly, we should not worry about AI taking over the world since it is not possible for it to do everything because of the limitations. For example, even if AI has been programmed to be able to do any specific task or job, there are still certain things that it cannot do because these tasks require human interaction and knowledge.

For instance, an AI cannot replace a teacher because their job requires them to interact with their students in order for them to learn new things. In fact, in some cases where teachers are replaced by robots or software programs like Khan Academy, they may fail at teaching because they lack empathy towards their students’ needs or emotions.

This lack of understanding means they cannot provide adequate instruction on topics such as Maths problems which require creativity from both sides.
The student wants answers quickly and easily while also having fun doing so together; meanwhile, the teacher needs patience since anything more complicated than simple addition/subtraction operations can become frustrating due too much repetition.

So, society need not be afraid of this technology. It can only do what it has been trained to do and cannot adapt to new situations or learn from its mistakes. Esther is a 200 level-student from Department of English, Lagos State University

Is AI outperforming doctors?

AI chatbot outperforms human doctors in responding to patient questions Will Ai Take Over Healthcare The doctor’s stethoscope is placed on the notebook computer. An artificial intelligence chatbot was able to outperform human doctors in responding to patient questions posted online, according to evaluators in a new study. in the Journal of the American Medical Association (JAMA) Internal Medicine found that a chatbot’s responses to patient questions, pulled from a social media platform, were rated “significantly higher for both quality and empathy.” Researchers from a number of institutions, including the University of California San Diego, Bryn Mawr College and Johns Hopkins University, presented a team of licensed health care professionals with responses to 195 randomly drawn patient questions.

The evaluators determined that patients preferred the chatbot responses. Of the 195 questions and responses — which were reviewed in triplicate for a total of 585 evaluations — evaluators preferred chatbot responses to physician responses in 78.6 percent of the cases. But despite the study’s “promising results” on the artificial intelligence tech for patient questions, the researchers stressed that it’s “crucial to note that further research is necessary before any definitive conclusions can be made regarding their potential effect in clinical settings.” The study suggests that, after further study, chatbots could be used to draft responses to patient questions that physicians could then edit.

“The rapid expansion of virtual health care has caused a surge in patient messages concomitant with more work and burnout among health care professionals. Artificial intelligence (AI) assistants could potentially aid in creating answers to patient questions by drafting responses that could be reviewed by clinicians,” the researchers said.

Researchers have been looking into the rapidly emerging tech and grappling with how it could impact different sectors, as over use of the tech in settings like school.
Earlier this year, ChatGPT could pass an exam at the Wharton Business School.
The chatbot was later able to of test-takers in a simulated bar exam.

Tags Copyright 2023 Nexstar Media Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed. : AI chatbot outperforms human doctors in responding to patient questions

Why can’t AI replace radiologists?

AI’s accuracy is still a problem – A recent study published in The British Medical Journal compared the performance of a commercially available FDA-approved AI tool with radiologists who had passed the Fellowship of the Royal College of Radiologists (FRCR) exam.

To pass the FRCR examination, candidates must analyse and interpret 30 radiographs in 35 minutes and correctly report at least 90 per cent of them.
When uninterpretable images were excluded from the analysis, the AI candidate achieved an average overall accuracy of 79.5 per cent, passing two out of 10 mock FRCR exams.

In comparison, the average radiologist’s accuracy was 84.8 per cent, with four out of 10 mock exams passed. These results indicate that AI tools still need further development and refinement to replace radiologists.

Is AI going to replace everything?

assistance, and even make our dinner.”>In a world of infallible artificial intelligence, computers could do most of our work for us. They could diagnose our illnesses in a second. Robots and autonomous vehicles could shop and deliver our groceries. Systems could ensure we don’t break our budgets. AI could operate our transit — planes, trains and cars — without human assistance, and even make our dinner. That’s the vision of many AI enthusiasts. But the current reality is that while there has been progress, humans are still required to do most jobs. An AI could introduce problems to the workplace, creating risks for workers, their employers and customers, some experts say.

Today, AI can power grocery store robots that change how stores get stocked, speed up vaccine production and generate creative ideas. But the latest advancements raise important questions for workers: How much of our jobs depend on humans? Can technology replace us? AI won’t entirely replace humans any time soon, industry experts and companies investing in the technology say. But jobs are transforming as AI becomes more accessible. “Every job will be impacted by AI,” said Pieter den Hamer, vice president of research who covers artificial intelligence at market research firm Gartner. “Most of that will be more augmentation rather than replacing workers.” help with warehouse inventory,”>Companies have been using AI for years to help crunch large amounts of data to produce insights for their businesses. Some blue-collar jobs have used AI-powered machines to help with warehouse inventory, White-collar jobs are likely to see the biggest impact near-term, den Hamer said, as AI can be applied at a relatively low cost compared with deploying a fleet of autonomous trucks, for example.

What jobs will be left after AI?

Tech jobs (Coders, computer programmers, software engineers, data analysts) – Coders, software developers, and data analysts could be displaced by AI, an expert says. Jens Schlueter/Getty Images Coding and computer programming are in-demand skills, but it’s possible that ChatGPT and similar AI tools may fill in some of the gaps in the near future.

Tech jobs such as software developers, web developers, computer programmers, coders, and data scientists are “pretty amenable” to AI technologies “displacing more of their work,” Madgavkar said.
That’s because AI like ChatGPT is good at crunching numbers with relative accuracy.
In fact, advanced technologies like ChatGPT could produce code faster than humans, which means that work can be completed with fewer employees, Mark Muro, a senior fellow at the Brookings Institute who has researched AI’s impact on the American workforce, told Insider.

“What took a team of software developers might only take some of them,” he added. Tech companies like ChatGPT maker’s OpenAI are already considering replacing software engineers with AI, Still, Oded Netzer, a Columbia Business School professor, thinks that AI will help coders rather than replace them.

Will anesthesia be replaced by AI?

How soon will we see robotic anesthesia in our hospitals and surgery centers? In the past three decades the high-tech revolution introduced the internet, the laptop computer, the iPhone, Google, and global positioning satellites. Most of these discoveries originated in Silicon Valley, just miles outside Stanford University Hospital where I’ve been working for the past 42 years.

Our medical world inside the hospital has changed more slowly. We’ve seen advances in noninvasive surgery, fiberoptic scopes, transplantation science, cancer therapeutics, and mega healthcare delivery companies. But what’s new in anesthesia the last 30 years? Relatively little. The Glidescope, sugammadex, ultrasound-guided blocks, and the time-consuming Electronic Medical Record arrived, but we typically administer the same medications, use the same airway tubes, and watch the same vital signs monitors as we did in the 1990s.

Why have there been no new anesthetics? Let me tell you a story: A former Stanford Chairman of Anesthesiology and friend of mine left the university in 2006 to become a pharmaceutical company executive, first at Novartis and then at AstraZeneca. Ten years ago, when I asked him what new anesthesia drugs were in the pipeline, he answered, “None, and there probably will be very few new ones.

The drugs you have now are inexpensive generic drugs, and they work very well.
The research and development costs to bring a new anesthetic drug to market are prohibitively expensive, and unless that new drug is markedly better, it will not push the inexpensive generic drugs out of use.” Is the same true for anesthesia devices? Are proposed anesthetic robots too expensive to design, test, and manufacture? Can they be brought to market to assist current anesthesia providers? Can they be brought to market to replace any anesthesia providers? Keep these economic questions in mind as we review the current science of robotic anesthesia.

Jobs have already disappeared in many industries. ATMs replaced bank tellers. Automated garbage trucks replaced garbage men. In the near future automated cars and trucks will replace drivers. In medicine, computerized artificial intelligence for the analysis of digital images is superior to the human eye, placing the jobs of radiologists, pathologists, and dermatologists in peril. Will Ai Take Over Healthcare real anesthesia robots An outline of the types of robotic anesthesia is as follows:

PHARMACOLOGIC ROBOTS
MECHANICAL ROBOTS PERFORMING PROCEDURES
DECISION SUPPORT ROBOTS

PHARMACOLOGIC ROBOTS:

In 2012 a United States national marketing firm contacted me to seek my opinion regarding an automated device to infuse propofol. The device was the Sedasys®-Computer-Assisted Personalized Sedation System, developed by Johnson and Johnson/Ethicon. The system incorporated an automated propofol infusion device, along with standard ASA monitors, including end-tidal CO2, into a device to be used to provide conscious sedation for GI endoscopy. Will Ai Take Over Healthcare The SEDASYS system The Sedasys unit infused an initial dose of propofol (typically 30 – 50 mg in young patients) over 3 minutes, and then began a maintenance infusion of propofol at a pre-programmed rate (usually 50 mcg/kg/min). If the monitors detected signs of over-sedation, that is, falling oxygen saturation, depressed respiratory rate, or a failure of the end-tidal CO2 curve, then the propofol infusion was stopped automatically.

In addition, the machine talked to the patient, and at intervals asked the patient to squeeze a hand-held gripper device.
If the patient was non-responsive and did not squeeze, the propofol infusion was automatically stopped.
The planned strategy was to have gastroenterologists complete a weekend educational course to learn: that Sedasys was not appropriate if the patient is ASA 3 or 4 or had severe medical problems; that Sedasys was not appropriate if the patient had risk factors such as morbid obesity, a difficult airway, or sleep apnea; and gastroenterologists were taught the airway skills of chin lift, jaw thrust, oral airway use, nasal airway use, and bag-mask ventilation.

I did not recommend the device be FDA-approved, as I saw the potential of inappropriate patients with obesity or sleep apnea slipping through the screening process, as well as the risk that an over-sedated patient could lose their airway and the gastroenterologist would not be able to rescue them, seeing as propofol has no reversal agent.

If a patient became too “light” during a procedure, the Sedasys system was not capable of increasing the depth of the sedation.
Both patients and endoscopists expected deep general anesthesia, not moderate sedation.
Gastroenterologists were ill-equipped to shoulder the responsibility of general anesthesia and airway management.

From the failure of Sedasys it was clear that further refinement in technology and drug use was needed. That refinement was the development of closed-loop devices. A closed-loop control system is a set of mechanical or electronic devices that automatically regulates a process variable to a desired state or set point without human interaction.

The cruise-control on your automobile is an example of closed-loop feedback control of driving speed. In anesthesia, closed-loop devices can infuse the medications propofol and remifentanil, with the rate of the infusions guided by a bispectral (BIS) monitor of EEG (electroencephalography) activity. Propofol is an ultra-short-acting hypnotic drug, and remifentanil is an ultra-short-acting narcotic.

Administered together, these drugs induce total intravenous anesthesia (TIVA). A closed-loop system can infuse these two drugs automatically. A BIS monitor calculates a score between 0 and 100 for the patient’s level of unconsciousness, with a score of 100 corresponding to wide awake and 0 corresponding to a flat EEG.

A score of 40 – 60 is considered an optimal amount of anesthesia depth. A computer controls the infusion rates of two automated infusion pumps containing propofol and remifentanil. The infusion rates depend on whether the measured BIS score is higher or lower than the 40- 60 range. Researchers in Vancouver, Canada expanded this technology into a device called the iControl-RP, where the initials RP stand for remifentanil and propofol.

In addition to the BIS monitor, the iControl-RP monitored the vital signs of blood oxygen level, heart rate, respiratory rate, and blood pressure to determine how much anesthesia to deliver. Will Ai Take Over Healthcare iControl-RP robot In a single-blind randomized study published in Anesthesiology in 2015, 42 patients were randomized to the closed-loop iControl-RP group or to a manual group. The results showed the percentage of time with BIS 40-60 was greater in the closed-loop group (87%) vs,

The manual group (72%).
The number of perioperative adverse events and the length of stay in the postanesthesia care unit were similar.
The conclusion of the study was that automated control of hypnosis and analgesia guided by the BIS was clinically feasible.
This study led to an article in the The Washington Post in 2015, in which one of the machine’s co-developers, Dr.

Mark Ansermino said, “We are convinced the machine can do better than human anesthesiologists.” The device had been used on 250 patients at that time. The iControl-RP team struggled to find a corporate backer for its project. Dr. Ansermino told The Washington Post, “Most big companies view this as too risky.” He believed a device like this was inevitable.

“I think eventually this will happen,” Ansermino said, “whether we like it or not.” A second pharmacologic robot named McSleepy used three syringe pumps to control the three components of general anesthesia (hypnosis, analgesia, and neuromuscular block) in an automated closed-loop anesthesia drug delivery system.

Each component had specific monitoring: BIS; AnalgoScore (an-AL-go-score = a pain score derived from the heart rate and mean arterial pressure) which was used as the control variable to titrate the effective dose of remifentanil; and the train of four (TOF), which was a measure of the twitch strength of a muscle when its peripheral nerve was electrically stimulated. Will Ai Take Over Healthcare McSleepy robot A 2013 study in the British Journal of Anaesthesia looked at 186 patients managed by McSleepy, in which the McSleepy system showed better control of hypnosis than manually administered anesthesia (see graphs below). The control of depth of anesthesia under McSleepy (blue) or manual (green) The McSleepy system also showed faster extubation times than manually administered anaesthesia. A second McSleepy study in the British Journal of Anaesthesia in 2013 showed an application in telemedicine.

The remote control of general anesthetics was successfully performed between two different countries (Canada and Italy).
Twenty patients underwent elective thyroid surgeries, with a master-computer in Montreal and a slave-computer in Pisa, demonstrating the feasibility of remote telemedicine control of anesthesia administration.

Why can’t AI replace humans?

We’ve all heard the scare stories. The availability of endless data will allow organisations to become less reliant on the human workforce. Artificial Intelligence (AI) is going to be smarter than humans. And automation will take away lots of our jobs. How much of this is really true though? Despite advances in these technologies, like conversational AI, they’re just tools to be used in the endeavour of making our lives easier and organisations more productive.

But even a tool with contextual and conversational capabilities can’t provide the unique flexibility of human touch and true ingenuity that we all desire and admire.
It’s in our nature.
Which begs the question, how can we continue to make the most of them in our work and lives? The answer lies in using them to empower us.

In doing so, they’ll free us to do what we’re best at. Communicating, connecting with people, empathising and ultimately, problem solving – AI can solve any of the problems we can think of, but it can’t think of any problems we can solve. In other words, we need to harness them to be data-driven and technology-enabled in service of us, but not to replace us.

To achieve this, leaders need to focus on three things. Firstly, they need to understand what data is available to them. Secondly, they must figure out how to make sense of it with AI and Machine Learning (ML). Then they should look at ways to use automation to take on the simple tasks we’re not best suited for.

Understanding the data available The first step to empowerment is as simple as understanding what information there is, where it sits within the business, who has access to it and whether there are any holes limiting its effectiveness. To decide which of that data holds the most value, a good starting point is identifying the biggest challenges faced by the organisation.

For example, is gaining a single customer view difficult because communications happen over different channels? Understanding the problem is the first step in fixing it. Once a business has worked out these challenges, it needs to get solutions in place to collate and analyse the data ready for interpretation.

Finally, it needs to ask the right questions by creating suitable hypothesis which the data analysis will support in solving. In every step of that journey, the importance of human involvement cannot be understated. To achieve the results required at scale, the organisation must create a data-centric culture from top to bottom.

This might sound a bit like management speak, but in reality, it simply means ensuring everyone knows that to make the best decisions, they need to be based on data and insights.
It also requires investment in a range of specialist roles, such as data engineers, data visualisers and data analysts, who identify, collect, organise, study and report on data from different systems to provide business insight.

These resources cannot be siloed in a think tank bunker somewhere in the organisation. No, they must be integrated with business teams in the operation, with access to change and process experts to be effective. Making sense of the facts But of course, this is easier said than done.

Data isn’t always easily understandable – even to data analysts.
Also, most businesses today generate millions of real-time data points that no human can ever hope to make sense of in their working day.
And nor should they try.
It’s not what they’re best at.
This is where AI and ML comes in.
These algorithms can be used to sift through data and present it in a digestible way.

For example, in dashboards, maps and graphs rather than spreadsheets and tables. And as anyone in the industry will know, this software works incredibly fast. In theory, the latest techniques allow AI to learn and act at the speed of light, We might not have this speed in widely available AI software yet, but it goes to show just how quick it can be.

To unpack this a little more, imagine a customer service team working in a large business. The agents will be creating vast amounts of data all the time. Some of it customer data, some of it data about themselves. The latter might include information about their own work patterns or performance, as well as when customers make contact and through which channels.

Will AI mean we no longer need doctors? | Enrico Coiera | TEDxMacquarieUniversity

With the right tools, AI can sift through it all almost instantly and make sense of things by noticing the trends and stress points, like peaks and troughs in work, whether someone needs a break, or if they might need some extra help or training. If presented to a manager on a dashboard with recommendations, they can make informed decisions about what to do rather than relying on gut feel.

In some cases, these recommendations can also be automated and the manager simply informed, saving time and effort with the same outcome.
This can have a positive knock-on effect on customers and team morale.
Automating the tasks we’re not best suited for So, it’s clear how data can be found, understood and presented to help people make better decisions.

The next step is adding automation to the mix. Imagine again the example of a manager with many dashboards in front of them. The manager could spend all day watching the graphs and charts. Waiting for a red flag to show up or constantly taking small actions with the team.

Perhaps giving someone a break or rerouting work. Alternatively, automation software could do it for them, using the insight gained from the data and AI. Someone’s taking longer than usual to respond to a customer? Perhaps they’re tired and struggling. Allow the automation to schedule a quick break for them.

Poor customer feedback or a bad NPS comment? Automate some support actions like a refresher training programme or a targeted coaching session. Automation can take on nearly any manual task – the applications are endless. It can process invoices in finance teams.

It can route customers to the most appropriate agent.
It can collect information and put in in reports.
Or triage emails into a department.
Coupled with AI, it’s like having digital assistants to take on the time consuming and repetitive activities that sap time and stop us from doing our best work.
The future is people-centric While these technologies are nothing new, they do continue to advance at pace.

This presents the opportunity to leverage them to help solve some of the biggest challenges we face in society as well as in business. But, we will only succeed when we remain as the masters of the technology, not the servants. Using AI and automation to empower people, not replace them, allows organisations to be data-driven yet technology-enabled and people-centric.

Where these pieces of software are used as tools to help humans do their best work and remove the drudgery of manual tasks.
And it makes complete sense.
Because there will always be a moment of truth when a human must be involved at a crucial point.
An automated process might take someone 75 per cent of the way, but a person needs to complete the rest.

And if they can put all their effort into that 25 per cent, the result will be a better outcome for the employee, the customer and the organisation that brings them together. Ultimately, those who try to remove people from the equation are destined to fail. Matt Rumins is European Head of Customer Success at Intradiem, Intradiem provides Intelligent Automation Solutions for customer service teams. This real-time automation unlocks the value of your center data to maximize productivity, engagement, and customer experience.

Our patented AI-powered technology processes the massive amounts of data generated by your center – in real-time – and takes immediate action to support staff working in the center or remotely – every minute of every day. This intelligent technology has been built on the management best practices of dozens of the world’s leading brands, and it continues to become more powerful every day.

Will robots replace dentists?

Everyone is discussing Artificial Intelligence or AI these days. ChatGPT, the chat bot that has taken the world by storm has given rise to many questions, primary among them being, will AI replace dentistry. AI is strongly believed to shape dentistry in terms of improving the diagnosis, fine tuning treatment plans and predicting treatment results.

However, it cannot replace dentistry, at least in the foreseeable future.
Read about AI and dentistry in our earlier blog article here,
This leads us to the next question, what about robots? While the future will not be as scary as Skynet building a horde of Terminator dentists, robots have been used in dentistry for some time.

In China, according to the South China Post, a robot performed a dental implant surgery independently without help from dentists. The robot was created by a joint venture between Stomatology Hospital and Beihang University. This robot without any assistance from dental practitioners, fitted two artificial teeth into the mouth of a patient with a margin error of 0.2-0.3mm. Why Do We Need Robots? China, which has the world’s highest population with 1.412 billion at the last count needs 400 million dental surgeries every year. However, a shortage of dentists means that only 1 million surgeries take place in the year and this shortage is creating the demand to fill up the dental vacancies with robots to perform surgeries quickly and accurately.

Are Robots Currently Used in Dentistry? Robots are currently used as assistants in dentistry like Yomi from Neocis, which is an FDA-cleared (USA) robotic system that assists dentists with implant placement. A West LA dentist has become the first to use Yomi for dental placements in the last couple of years.

Read the news here, This clinic has performed over 40 implants since December 2021 using the robot. COVID-19 hastened the importance of better hygiene and infection control. While Australia was spared from the ravages of the disease ripping through the community, there was always the fear of infections spreading through medical clinics, including dentists. Will Dentists Ever Be Replaced by Robots? In a poll conducted by New Scientist Live in the UK, more than 50% of the population is fearful of artificial intelligence. A 2017 survey conducted by the highly respected Pew Research Centre of the US on “Attitudes towards a future in which robots and computers can do many human jobs”, shows more than 70% of Americans have the same fear.

While this percentage might have decreased over the years, the inner most fear of humans will always be unemployment due to robots replacing jobs. In specialised jobs like surgeons and dentists, while a robot can perform a task much more accurate than a human, a robot will only perform a task programmed by a human.

Robot assistants are guided by humans in the steps required to perform a surgery or procedure. While we may see an increase in repetitive tasks being performed by robotic assistants, it is unlikely that robots will completely replace dental practitioners.

The field of robotics is an exciting and unknown area. There is no single regulatory body around the world overseeing the development of robotics in medicine or dentistry. Hence, the need of the hour is to formulate guidelines to ensure that developments are implemented considering the wellbeing of the patients.

So far, we don’t see the possibility of a fully automated dental clinic including a robotic receptionist quite soon, but that may be a question to ask ChatGPT! Want to book an appointment? Book online by clicking here, Call our friendly team on 3390 6100 or email us,

Will pharmacist be replaced by AI?

Will Pharmacy Automation Replace Staff? At Synergy Medical, we design, manufacture, and sell robotic pharmacy automation systems for preparing and dispensing solid oral medications in blister card formats. Pharmacy automation, in general, has been around since the 1990s and is steadily increasing in adoption globally.

As technology and robotics become more advanced, a common question that many individuals working in pharmacy environments have is “will automation replace pharmacists?” To answer that question simply: no.
Pharmacists and their staff provide many services and solutions to their patients — filling medications is but one part of their jobs.

At SynMed, one of the top benefits of our pharmacy automation technology is freeing up pharmacy staff’s valuable time so they can focus on other critical tasks such as interacting and building relationships with patients. The concerns that pharmacy staff have about being replaced by robots are valid, but automation could never truly replace pharmacists and their staff.

How AI and robotics are transforming healthcare?

AI and Robotics is the future of healthcare sector Recent advances in artificial intelligence and robotics hold great promise for transforming several fields of medicine. Artificial intelligence (AI) and robots have the potential to revolutionise healthcare by automating and improving a wide range of processes, from direct patient care to the mass production of medicines.

A number of large tech companies are already banking on AI and robotics to enhance the healthcare industry. Google, for instance, is working with the healthcare delivery network to develop predictive models. Since numerous cutting-edge businesses are actively competing in this space, the application of AI and Robotics is destined to succeed and radically alter the healthcare industry.

When it comes to medical treatment, artificial intelligence is poised to be a game-changer. Health care is intricate, and operations can be severe. We need to encourage the use of artificial intelligence because it can improve diagnosis, preventative care, and treatment.

By doing a comprehensive analysis of the condition, including the most minute details, AI is able to anticipate the occurrence of tract infections.
There are several areas where cutting-edge AI-based technology can be implemented, including chronic illness, cancer, risk assessment, and radiography.
New technologies, such as brain-computer interfaces (BCI), allow doctors to understand a patient’s full neurological status.

These gadgets can “hear” brainwaves and “translate” them into orders that can make a person move (like moving a robotic arm). Furthermore, radiology images enabled by artificial intelligence, such as those produced by MRI machines, CT scanners, and x-ray equipment, provide non-invasive vision into the human body’s intricate inner workings.

Technology at your fingertips: wearable health monitors to keep tabs on your well-being Numerous anecdotes attest to the power of modern technology to prevent the loss of life in desperate situations. In recent times, an Indian dentist developed excruciating chest symptoms and, after doing an electrocardiogram with his smartwatch, discovered that he had 99% blockage in his arteries.

Many lives could be saved if affordable healthcare solutions based on technology will soon replace the current system. These devices include built-in Bluetooth, making them simple to set up and use. Some of the functions of fitness trackers and smart health watches, such as the ability to record and display a wearer’s heart rate and rhythm, are extremely useful but largely underappreciated.

A distress signal is sent out immediately if the heart rate suddenly increases or decreases significantly. The API for movement disorder is another essential element of smart wearables. It is effective in the treatment of Parkinson’s disease. Without the need for a doctor’s supervision, self-diagnosis is now feasible thanks to the proliferation of diagnostic tools for use with portable diagnostic kits and sophisticated mobile phone applications.

Medical education and awareness campaigning in remote areas through the use of advanced technological healthcare facilities Using telemedicine to connect urban and rural patients is a crucial step in closing the gap in healthcare access. Telemedicine, as defined by the World Health Organization, is the delivery of medical treatment over long distances to locations with little or no physical access to medical institutions.

In addition, the definition specifies how all healthcare providers in these outlying areas must apply information and technology to disseminate knowledge about disease and injury diagnosis and treatment as well as the training of future medical professionals.
Ey Takeaways Successful healthcare organisations will be those who can employ robotics, machine learning and AI to radically redesign their processes and workflows to create an intelligent health system.

The encouraging news is that the vast majority of healthcare giants are starting to implement AI. However, we have just begun the long process of discovering how artificial intelligence may enhance medical care. Therefore, it will take time, but the outcome will be highly effective.

More importantly, we can also close the healthcare gap between urban and rural areas by implementing cutting-edge technologies such as robotics, AI, smart wearables, etc. The most exciting prospect for artificial intelligence in healthcare is the potential to revolutionise clinical procedures. Clinicians only need to realise the potential of this new technology and accept the reality of global shifts to be able to react to future trends and the incorporation of AI into the healthcare system.

There are two main ways in which AI might be useful: automation of processes and enhancement of human capabilities. There will be a significant increase in the efficiency with which many mundane chores are completed, and the quality of care provided to patients can be enhanced by using AI to assist medical personnel in their work.

What is the future of conversational AI in healthcare?

Patient Assistance at Scale – Conversational AI helps gather patient data at scale and glean actionable insights that enable healthcare professionals to improve patient experience and offer personalized care and support. It fosters a data-driven culture in healthcare that empowers both care providers and patients to make informed decisions.