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Is your doctor overworked? There might be a solution to this

By |2018-07-12T20:05:41+02:00Juli 12th, 2018|Allgemein|

What was the time when you were totally utterly exhausted? You were so cracked that you just crawled in the bed and slept for 20 hours straight? This is the life of most doctors in the world, without the part of sleeping for 20 straight hours!

A doctor often begins his career in the early 20s and works way his 60s. Officially, the doctors have work restrictions per week. A resident in Europe has a cap of 48 hours. A doctor in training in the USA ends up working for 60 hours as an average. However, there are cases when doctors often go without sleep for 30 hours, as described in the Atlantic.

Case in point

A neurosurgeon was working continuously for over 30 hours. When he got a break, he decided to go home. While driving, he blacked out and had a serious traffic accident. Luckily, he survived the crash. However, he was left with injuries that could have ended his career.

Some are not this lucky, though. Last year, a 35-year-old anesthesiologist died 96 hours straight. Dr Stefanus Taofik covers his colleagues’ shifts around the festival of Hari Raya in Indonesia. Hey, what was found dead in a hospital.

Work hours have other consequences as well. Some places like India, the residents often skip their breakfasts to manage the monumental amount of workload. This has led to an increase in the cases of TB among residents. A treatment of TB requires you to take an intensive course of medication for up to 9 months.

Consultants are no better off

This is the case with trainee doctors. However, the life of a consultant is no better. Many still work on weekends due to a shortage of skilled manpower. In the UK, 71% of the hospitals report a shortage of manpower.

Long hours, increased workload, everything is added to the stress of a doctor is always under. This often leads to burnouts, especially in highly demanding faculties like Emergency Medicine, OBGYN, Internal Medicine, and General Surgery. In addition to the stress from work, doctors have to attend regular seminars and lectures to keep their medical knowledge up to date. Factoring in a busy schedule is a very difficult task.

Thankfully, technology is helping out doctors in maintaining the high standards of medical care.

Technology in Medical practice

Of course, there is a high amount of tech involved in the diagnostic machinery. Robotic precision surgeries are becoming more popular by each passing day. However, tech is also finding value in the doctor’s consulting room. 50 years ago, the tech a doctor would use a doctor, a manometer to check for blood pressure, and a stethoscope. Today, doctors are using IoT devices to collect and record information, saving precious time.

IoT and other m-health devices have made a doctor’s life easy by helping him track the patient’s health even after the consultation. This also reduces out-of-hours phone calls from the patient, and they do, the doctor has some data to look at and a course of action.

That said, these devices help reduce the risk of depression.

Aimedis for doctors

Dr Michael and Dr Ben have been practising medicine for over 15 years now. They saw an unmet need and decided to found Aimedis. Using our platform, doctors can connect their devices and see the data in one place. They can also get the patient’s data from his fitness tracker and use it to track the well-being of the patient. If they want to see more patients, they can have a teleconsultation with the patient, saving their time for more serious patients. This kind of digital triage not only helps them manage their time better, it also takes the stress and fatigue from the long hours that they work.

The long hours in a doctor’s life are here to stay for a while. Our endeavour at Aimedis is at least a doctor’s life less stressful.

Also, read Why China is the next big market for AI in Healthcare

Why China is the next big market for AI in Healthcare

By |2018-07-10T09:30:30+02:00Juli 10th, 2018|Allgemein|

Many developed nations had witnessed an advancement in medicine and technology going hand in hand. New medical discoveries were made possible with the help of technology, and technology developed as the demands for healthcare increased. This has helped them in developing a robust healthcare system, something that is adopted by many developing countries.

However, there are countries like China that have been practising medicine for centuries, and the technology is just catching up. The inherent advantage of this is that technology is already much ahead of the healthcare, and tried and tested models in the West can be replicated with ease.

This is what is happening in China, at least in the major cities. That said, the immense size of China leaves much to be desired when it comes to healthcare.

China, the hidden dragon

A few decades back, China was not on any major economic map. The only notable export was hard-working labour that helped build the infrastructure in many other countries, including the USA. Today, it is the major manufacturing hub from nails to iPhones. Almost every product has ‘Made in China’ embossed on it. Once known for cheap labour, it is now known for an advanced technological hub for manufacturing for most of the Fortune 500 companies.

With the world’s largest population spread over 9.6 B sq km, it is one of the fastest growing economies in the world. The population if 1.4 B is not spread evenly though, with cities housing a much larger population than the villages. Naturally, the development is not uniform, With cities like Shanghai and Beijing boasting about world-class infrastructure.

As a result, tertiary care hospitals are concentrated in the cities.

Healthcare in China

China spent about $0.85 trillion in 2016 on healthcare. China has a dual system of healthcare – Western, as well as Traditional Chinese Medicine (TCM), is practised hand in hand across the country. About 40% of all health care delivered in China is TCM, and the government is promoting it even more to ease the burden on hospitals delivering Western medicine.

In China, almost everyone is insured by subscribing to a state-run insurance. However, they also pay out of their pockets to see a doctor. The hospitals are usually busy, and a patient does not get more than an average of 4-5 minutes in a consulting room.

When it comes to adoption of technology, more and more Chinese people are opting for Telemedicine these days. This is easier than say, in the USA, because reimbursement is not a hurdle. Most people pay out of their pockets anyway, so they try and get the best doctors online.

The penetration of IoT devices and Healthtech is low, despite a massive penetration of mobile devices. This poses an interesting opportunity. However, health tracking could take some time and incentive for a wider adoption to happen.

The tax reforms in China, most notably the ‘two invoice system’ is helping the Pharmaceutical companies with their distributions. In this, only two tax invoices can be issued – one by the manufacturer to a distributor, and second by the distributor to the hospital/pharmacy. Under this system, only one commissioned distributor is allowed in the procurement chain. This is reducing the pain points in the supply chain, avoiding delays.

The data norms in China are more relaxed. However, a structure is being put in place to manage the patient’s data in a better way. This poses a unique opportunity, as the structure is leaning towards being more open, allowing the data to be interoperable.

 Role of Aimedis in China

Due to our offerings, Chinese patients can consult doctors beyond their borders, for a nominal fee. The data generated is immense, so managing it is a challenge. Thankfully, with the help of AI and Blockchain, this data can be used meaningfully, benefiting all the stakeholders. People of the Republic will have more options to choose from, the Pharmaceutical and Insurance companies will have an access to concise data, and patients will have an option to share their own data if they want to, and earn some tokens in the process.

Also, read Why Japan, the Tech giant, still needs to improve Health Tech

Why Japan, the Tech giant, still needs to improve Health Tech

By |2018-07-07T22:55:16+02:00Juli 7th, 2018|AI in news|

When it comes to biotechnology, Japan is leagues ahead of the western world. They have devices for delivering medicine, patches, nasal sprays that are unlike any other. However, when it comes to Healthtech, Japan sadly is not yet there.

Japanese Healthcare industry

At $472.6 B, Japan ranks third in the world when it comes to the healthcare expenditure, following the USA and China. A sizeable proportion of this is on healthcare delivery – medicines, operational costs, palliative care. However, the spendings on preventive healthcare are limited due to budgeting constraints.

The overall IoT market in Japan is forecasted to reach about $ 143.2 B. A sizeable portion would be healthcare IoT. The overall Healthcare IT market is projected to grow by 12.3% by 2020.

Despite these statistics, the tech giant is struggling, albeit ironically, with IT in healthcare. The market penetration of smartphones and connected devices is high (81.7%). However, the IT literacy among the healthcare workers is low, leading to an effective delivery of healthcare.

Opportunities for HealthTech in Japan

The tertiary care facilities are concentrated in Tokyo and surrounding prefectures (Kanagawa, Chiba, Saitama). Delivering uniform healthcare across the country thus becomes a challenge. Although the adoption of health tech by individuals is high, there is no notable use of this data to delivering health care or amending the public policy in any way.

Japan has a simplistic healthcare cost coverage model. Everyone needs to have an insurance. The state covers 70% of the cost, and individuals cover the remaining. The cost-to-patient for procedures is capped, leading to lower spendings. That said, doctors, hospitals, and patients do not coordinate optimally, leading to lost opportunities.

This is a brilliant opportunity for integrating the existing healthcare systems under a single platform. The tech-savvy patients are already capturing their wellness parameters on a daily basis. This is not seen by the doctors though.

Japan has a sizable ageing population, with over 40% over the age of 55. Currently, the elderly in Japan are considered healthy and wealthy, with a significant number of them committing to their personal health. This explains the lower expenditures on healthcare, (about 7% of the GDP as against 17% in the USA.

That said, with a wider adoption of m-health and connected devices by the ageing population, monitoring of health will become easier for that country, easing the burden on preventive expenditures. As in the other developed nations, there is a scope for adoption of healthtech by the elderly, not limited to fitness trackers, m-health devices, remote diagnostics, and other means to track health and wellbeing, like digital scales and sleep trackers. In addition, AI and robotics have a role to play in diagnostics and screening, especially in the remote areas of the country.

Aimedis : what Japan needs right now

The core of Aimedis is connecting the stakeholders in healthcare with each other without a loss of information. Patients can seek a medical consultation, doctors can exchange notes, Hospitals can connect with each other for a seamless data transfer, in the event of a transfer of a patient. In addition, the Pharmaceuticals can plan their clinical trials effectively, and the insurance companies can improve their services.

Countries like Japan, with an ageing population, existing IT infrastructure, as well as a tech-hungry population could use such a seamless integration.

Also, read Why diagnosing leprosy in the Philippines is not a big problem any more: Learns

 

Why diagnosing leprosy in the Philippines is not a big problem any more: Learns

By |2018-07-03T16:01:44+02:00Juli 3rd, 2018|AI in news|

If you are in the Western world, you might have heard about leprosy. The incidence of Leprosy, or Hansen’s disease, is so low in the USA and Europe, that it has fallen out of the public notice. However, more than 200,000 people suffer from this disease, mostly in South East Asia.

It is a bacterial disease caused by an organism similar to the one causes Tuberculosis. The patient can contract the disease and can go for years without displaying any outward signs. In the advanced stages, the disease is not contagious. However, it deforms the body of a person – fingers, toes, nose, and these may just fall off. An early diagnosis and a prompt treatment can prevent all this. However, diagnosing Leprosy is challenging, especially in a country like the Philippines.

Leprosy in the Philippines

The Philippines is a beautiful country made of 7641 islands, out of which, some 2000 are inhabited by about 103 Million people. The pristine beaches, scrumptious cuisine, and warm people make it an attractive place for tourists. However, the geographic makeup of the country poses operational challenges for the delivery of healthcare.

As it has so many islands, it is difficult for a healthcare visitor to conduct screening procedures. And if it is Leprosy, the patients may not even see a doctor until it is too late. The social stigma of the disease keeps them away from the civilisation, and the patients often are neglected by the family as well.

As the bigger hospitals and diagnostic centres are located far away, even the support staff in smaller clinics have a difficulty in getting things diagnosed. And even though there were just about 2000 odd cases of leprosy diagnosed in 2010, not everyone received an early treatment. There might be a fair share of undiagnosed cases due to various factors, including remoteness of diagnostic facilities, lack of training in diagnostic skills, and pure social stigma.

Learns: The Technological solution to the healthcare hurdle

However, we are in 2018 now! And technology is helping us overcome such hurdles. It did the same in the Philippines, as according to a report by the Guardian, Novartis Foundation teamed up with the department of health and developed a mobile-based diagnostic tool – Leprosy Alert and Response Network System (Learns).

It enables a healthcare worker, say a nurse, to click a photo of the lesion, and send it to a specialist. The specialist may be 100s of miles away, but he can diagnose it right away and chart a treatment pathway. This results in early diagnosis and prompt treatment, avoiding disfiguration.

The quality of life of such a patient will improve drastically, preventing a life of hardship and misery.

Aimedis for patients

At Aimedis, this is the core of our philosophy – an access to healthcare, wherever you are. We have tailored plans for patients – they can opt for the subscription-free plan and avail a pay-as-you-consult model, that, for a nominal fee, lets you interact with a specialist without the wait. There is a premium subscription where a patient can access a doctor round the clock, and also get a second opinion. He can also request for a prescription using the Aimedis medical team.

We hope that someday, technology and AI will help the standards of healthcare to become uniform all over the world.

Also, read How Aimedis is adding value to the Trillion Dollar Healthcare Industry

Healthcare: What is stopping the trillion dollar industry from functioning optimally

By |2018-06-28T19:51:10+02:00Juni 28th, 2018|Allgemein|

Globally, healthcare is a trillion-dollar industry. In fact, according to a report by Deloitte, the global healthcare expenditure is projected to reach $8.7 trillion by 2020.  It is the third largest industry in the United States if you ignore the state spending, after Real estate and the financial sector.

With the massive scale and numerous players in this arena, healthcare delivery is anything but smooth. To begin with, it is not uniform throughout the world. Even in a developed country like the US, the level of care differs from hospital to hospital.

AI can tackle major hiccups in the delivery of healthcare. To understand how, though, let us look at the various nodes in the network of healthcare.

Healthcare delivery model

Healthcare is not simply a patient seeing a doctor. There are many stakeholders involved in the process. Even though the level of care might vastly differ from hospital to hospital, these stakeholders remain more or less constant.

  • Patient
  • Doctor
  • Hospital
  • Pharmaceuticals
  • Insurance company/payer
  • Caregiver

A Patient’s journey

In a simplistic scenario, a patient feels ill and in most cases, Googles his symptoms. He then decides to see a doctor and seeks an appointment. The doctor examines the patient, seeks the previous medical records, diagnoses the illness, probably orders some lab tests, and prescribes medicines. The patient goes to the pharmacy and obtains the medicines, takes them and the condition may improve. If it does, he is out of the loop for a while. If not, he goes to see the doctor again and the cycle continues.

There are several pain points in this workflow.

Pain points for stakeholders

For the patient, getting credible information is difficult. Getting to see a doctor quickly is the next big hurdle. Sure, if there is an emergency, the doctor sees the patient right away. However, if it is not, the patient has to wait. There are very limited diagnostic tools that a patient can use on his own.

When he books an appointment, he might have to wait to see the doctor. He has to carry the medical records with him and remember to take his insurance details. When he takes the medicines, he won’t always see the doctor once he is alright.

And lastly, he might not have anyone who is undergoing the same trauma to discuss this with. In a doctor’s mind, an illness is serious or not-so-serious. However, for a patient, no illness is small if it is affecting his daily life!

For the doctor, there is only a limited set of patients he can see in a day. They often don’t have their medical records with them. In the recent months, more and more patients have been using health trackers to track fitness, Electrocardiograms, Blood pressure, just to name a few. This information is often not captured because of the plethora of apps used by the patients.

The feedback in the form of follow up from the patient is limited after the treatment. So, there is very little way of knowing the degree to which the treatment worked.

For the hospitals, it is a challenge in exchanging information as not everybody is using the same enterprise systems. So, when a patient is transferred from say, a primary care hospital to a tertiary one, there is no seamless flow of information. It is even more challenging when one of the hospitals is overseas.

For the Pharmaceuticals, they know the value and volumes of SKUs (stock keeping units) sold. However, it is often impossible to know exactly what a particular medicine was prescribed for and to whom, including the prognosis.

For the insurers, the reimbursement workflow is difficult to follow and much efforts go into tracking the existing treatment options, medicines prescribed, as well as treatments given. In addition, it is difficult to track overseas treatments.

For the caregivers, the challenge is knowing what is going on! They get a limited set of instructions to take care of the patient as most of the professional attention is given to the patient. They really have no one to talk to anonymously, and they have to join a support group, if one is available nearby.

To conclude

Healthcare industry has its challenges because the various stakeholders are not connected seamlessly. There is a loss of information at each interface and it deters the whole machinery from operating optimally. And this is where Aimedis comes in the picture.

How is Aimedis going to tackle these pain points? Read our next article: How Aimedis Is Adding Value to the Trillion Dollar Healthcare Industry

(Images: Pixabay, Pexels)

How Aimedis is adding value to the Trillion Dollar Healthcare Industry

By |2018-06-28T19:23:05+02:00Juni 28th, 2018|Allgemein|

In the previous article, you saw the various pain points that are impeding the global healthcare industry from functioning optimally. Doctors Michael and Ben, had this in mind when they decided to get the Aimedis team together. With experts and advisors from healthcare technology and blockchain, Aimedis conceptualised the dream of integrating the healthcare system globally.

Role of AI in the Global healthcare industry

Due to its sheer size and spread, it is very difficult to integrate the healthcare industry under one roof. There are too many variables. However, with a technologically aware patient and a forward-looking Hospital chain, the interactions become a bit easier.

Add to this equation the most organised members – pharmaceuticals and insurance, and suddenly, the situation is a lot less chaotic. Using AI and deep learning, Aimedis can add immense value to each of the stakeholders – patients, doctors, hospitals, Pharmaceuticals, Insurance companies (payers), and caregivers.

Let us have a look.

For the patient

As discussed in the earlier article, the pain points for a patient are a lack of access to credible information, delay in interacting with a doctor, and a lack of support group. In addition, there is little to no control over the data generated throughout the patient’s journey through the healthcare system.

Aimedis has solutions for this and much more! Patients can get credible information about their condition through a meticulously curated database collated from credible publications. One can e-visit a doctor through our platform using telemedicine. If one wishes to undergo a medical/surgical treatment abroad, we can help you do that using our chain of partner hospitals.

This covers the physical aspect of an illness. However, using our platform, one can interact with patients who are suffering from a similar illness and form a support group. A patient can interact with others under complete anonymity. And if he so chooses, he can share his data with Pharmaceutical companies that will lead to an advancement of research, and he can earn some tokens by doing so.

For the doctor

It is tough to see all the data pertaining to the health of the patient at one place. There are numerous apps that are not standardised. In addition, he can only see a limited set of patients in the hospital.

Luckily, using our platform, the doctor can access all the information at one place. He can also access medical history of the patient without going through tonnes of paperwork. And if he chooses to, he can consult with the patient remotely, saving his time for other patients. He can also see international patients using our remote consulting feature.

For the Pharma companies

Recruiting patients for a trial is an onerous task. It takes a lot of time doing so, delaying the trial by months. In addition, there is no accurate capture of the drugs administered and the results due to a limited follow-up.

Aimedis, using the blockchain, can make this information available to the pharma companies. This ensures that the overall lead time is reduced and new medicines become available to the patients sooner.

Similarly, for the insurance companies,

Aimedis makes the data available to reduce frauds, saving resources tracking the claims. This also reduces the time for reimbursement and it is a win-win for both the patient and the payer.

Aimedis is making it possible

We are living in interesting times when smart medicine is not a distant future but an actual reality. We are already using a lot of gadgets – fitness trackers, smart scales, sleep trackers, nutrition trackers, apps tracking our daily activities. Aimedis’ vision of integrating all of it and making sense of the data for the betterment of medicine is already becoming a reality.

Also, read AI in Healthcare: Bedside robots could soon be a reality in hospitals in the UK

AI in Healthcare: Bedside robots could soon be a reality in hospitals in the UK

By |2018-07-03T15:44:18+02:00Juni 28th, 2018|AI in news, General|

Bedside robots could soon be a reality in public hospitals in the UK.

NHS, the body governing the operations of the public hospitals in the UK is considered to deliver one of the best healthcare in the world. About 243 million patients are seen each year by the NHS. According to the latest figures, NHS employs 106,430 doctors; 285,893 nurses and health visitors; 21,597 midwives; 132,673 scientific, and therapeutic and technical staff. However, a lack of funding and a severe shortage of manpower is making this task more and more difficult with each passing day.

AI in healthcare, UK

A report published by the Institute for Public Policy Research (IPPR) in April this year indicates that a wide adoption of AI and Robotics by the NHS can potentially free up £12.5B worth of resources annually, easing the burden on the system. It will help doctors and support attend to other patients while bedside robots take over functions like helping the patients around the ward, conducting digital triage, and even helping them with exercises and nutrition.

In addition, the use of machine learning and AI can help the NHS with the screening of diseases like Diabetic Retinopathy, certain cancers without involving a specialist. Acting on the recommendations, the secretary of state for Health and Social Care, Jeremy Hunt, has announced a review into how the current NHS staff could be trained in AI and robotics.
This is a huge news for the AI community as this signals a wider adoption by a dominant publically funded body.

AI goes beyond just treatment

With an implementation of AI in healthcare in the UK, patients would have a better access to healthcare. Even though the healthcare in the UK is quite good, patients often have to wait to see a doctor. In many cases, an experienced nurse, also known as a Nurse Practitioner sees a patient with a minor ailment. In the UK as well as the USA, NPs can see patients, make a diagnosis and prescribe a treatment.

With the help of AI, both patients, as well as the Healthcare professionals, will have a better interaction, with easier follow up, convenient prescriptions, and support beyond the clinic. When a patient chooses the services of Aimedis, say in the UK, he has an option to get an e-consultation from a doctor for less, without footing the bill of an expensive private consultation. He can choose to share his data – age, diagnosis, treatment given, outcomes, any side effects, impact on his daily activities, data from his health trackers, with researchers. This helps the researchers come up with better treatment recommendations, Pharmaceutical companies to come up with safer medicines with fewer side effects, and doctors with a feedback for their treatment.

Aimedis welcomes this news and hopes to see exciting developments in the use of AI to shape Public Policy

Also, read: Would you accept healthcare advice from a machine?

AI in Healthcare: would you accept healthcare advice from a machine?

By |2018-07-07T23:07:49+02:00Juni 26th, 2018|General|

A self-thinking robot has always been the theme of science fiction for decades. We came across robot servants and robot armies on TV, in books, in graphic novels. Maybe this futuristic thought led to the idea of a computer that would ‘learn’ as it goes, or maybe scientists were working on it all along, we would never know. However, the more important thing is, AI is here now. And it is changing the world, including healthcare as we speak.

AI in Healthcare

Siri, Alexa, Cortana, Okay Google, all have been a part of our lives for some time now. We all have observed them getting better in understanding us, and anticipating us. The very fact that we have someone plan our routes, play our songs, and even order our groceries for us shows how intertwined our lives have become with AI.

This simple role of an everyday ‘assistant’ goes a long way in healthcare. Imagine having someone checking on you when you are unwell, or asking you to take it slow because your fitness tracker records a high heart rate. People find value in these things and so, there are companies that are built around such apps.

In healthcare, AI has a wide possibility of applications. Ranging from a simple interactive bot to robotic surgeries, AI is taking the centre stage in advanced healthcare delivery. The simplistic idea is to replace human errors, reduce man-hours, and minimise variations in service delivery. With mobile health and Internet-of-things, many gadgets have entered our lives. The adopters of these are mostly millennials, however, older generations are catching up.

Healthcare advise from a machine?

We all have accepted the role of Siris and Alexas in our life. However, how much would we trust AI when it comes to our health?  To answer this, PwC conducted a survey of adults (men and women, 18 and above) from the EMEA. They were asked questions about their acceptance of AI and robotics in healthcare. The survey shows that the acceptance of AI in healthcare is increasing from the point-of-view of the patients. In a survey from EMEA, over 60% individuals between the ages 18 and 34 are comfortable talking to a bot for their healthcare-related questions, while only 11% of respondents from that age group are unwilling to use AI.

The three areas where people are willing to use AI the most are in tracking their fitness, monitoring heart conditions, and taking and testing blood samples. The least favoured areas are fracture reductions, pregnancy monitoring, and delivering a baby.

These results might be extrapolated to most of the countries in the world. With an increase in adoption of smartphones and m-health, more data points are collected. With the help of adaptive learning, the services of companies offering these apps are becoming better and more accurate, in turn driving up the adoption.

To sum the results up, people are okay with letting the machines advise on diagnostics and fitness. However, they are not so keen yet to let the machines actually operate on them, or even fix their broken bones.

Aimedis: AI in Healthcare reimagined

At Aimedis, we are passionate about technology, particularly the use of AI in Healthcare. With doctors at the core of the company, we foresee huge applications of AI in healthcare and are already integrating AI with blockchain, making way for an easy to use service that will benefit each stakeholder in healthcare – patients, doctors, hospitals, Pharmaceuticals, and insurance companies.

AIM, the Etherium-based tokens fuel the services for Aimedis. They can be used to subscribing to services, exchanging data, or even exchanging information. The Pre-sale of AIM tokens is going to end soon, so get your 25% bonus today!

Also, read: Diagnostics without doctors: Is this the future?

Diagnostics without doctors: Is this the future?

By |2018-07-07T23:05:09+02:00Juni 26th, 2018|General|

When we think about a pathologist, we quickly imagine a person wearing thick glasses and a lab coat, peering in a microscope. There is a tray of slides nearby to be checked, and the wall is lined with chemical reagents for the tests. 

However, this picture is changing rapidly. While the slides and the microscope remain more or less constant, most of the diagnostic work is done using advanced machinery. There are easy to use test kits and elaborate equipment that can give you a reading with 99.5% accuracy. Even the microscopes can project the image on a huge LED, and pathologists and clinicians can discuss the cases in Multi-disciplinary meetings.

All these exercises create data that is used by the clinicians as well as the pathologists to learn a bit more, reducing error and improving judgement with each passing day. However, the factor of human error always remains, and this is the focus of newer research in the application of Artificial Intelligence in diagnostic medicine.

The new age of AI in diagnostics

Many companies are investing heavily in creating easy-to-use, almost bedside diagnostic test kits. These would reduce the need for an elaborate lab testing, making screening easier and more practical. Screening is when a lot of samples are tested using simpler test kits, and the ones with red flags are then referred for elaborate lab tests.

Till now, however, these test kits could not remove the factor of human error. An incorrectly obtained sample is not going to test correctly, and a disease can be missed. Using AI, some of these tests are becoming easier to administer.

Talking about screening, in April 2018, The USFDA gave an approval to market the first machine to use AI in diagnostics for detecting Diabetic Retinopathy. It is a condition of the eye where Diabetes can cause blindness.

There were 422 million adults living with Diabetes in 2014. In Europe, the percentage of Diabetes ranges from just under 7% in the UK to over 11% in Germany, over 13% in Portugal, and over 14% in Turkey. and an early diagnosis can prevent that. These countries often spend thousands of Euros per patient on their diabetes programmes. The good news is, diabetic retinopathy can be detected early and prevented. The problem is, many diabetics don’t see an eye specialist on a regular basis, and when they do, it is often too late!

The beauty of this device is that it does not require a specialist to read the results. The images are obtained by a trained technician or a doctor and are interpreted by a software using data points already gathered from a lot of testing. This opens doors for screening procedures that will become less dependent on a particular person, like a specialist, and are easily replicable with minimal training. USFDA hints that there might be quite a few similar machines in the world of diagnostic screening on their way.

Aimedis and AI in diagnostics

Aimedis believes that technology and AI can revolutionise how healthcare is delivered. We have special services where hospitals can use our services to communicate with each other as well as the patients in a better way. Patients with chronic diseases like Diabetes can get online consultations without actually visiting a doctor.

Patients have started using smart blood glucometers now. This allows them to test and store their blood sugar levels with ease. Aimedis integrates this data and a doctor can see it alongside other lab tests and the data from any other trackers easily. This ensures that nothing is lost because there are too many apps to check.

And when a patient suffering from Diabetes needs to Talk to someone who is going through similar pain, we make it possible with our social support function. Support is a very important part of the recovery process. We believe that sharing stories gives you the inner strength to stick to the diet and take your medicines on time, something even the doctor cannot ensure.

We believe that healthcare can benefit massively from the use of AI, and In our own way, we are trying to make it better.

Also, read: Pfizer partnership: a great opportunity for Team Aimedis