/Tag: patient

Dementia – Developments In Care

 

New developments in Healthtech are happening all the time. Here is one which has hit the news headlines recently that really sounds very interesting.

 

Dementia Research

Researchers at a Japanese University have developed an AI system that can help to diagnose dementia.

The system that they have devised is able to detect the very early signs, much earlier than traditional methods. This means that patients can be made aware of potential problems very early on. Giving them more time to take  full advantage of treatment options, and so have a better long term outcome.

 

Currently, diagnosing dementia can be time consuming, expensive and distressing for patients. Traditional scans are used in conjunction with cognitive function tests, to check the function of the brain.

A global ageing population means that now more people are developing dementia, so there is a real need for quick, effective diagnosis that can lead to an earlier intervention.

New Developments

A group of researchers who are based at Osaka University and The NARA Institute of Science and Technology have discovered that it is indeed possible to detect the very early signs of dementia . And that  it is possible to do this with AI, quickly, effectively and in a non invasive manner. This helps patients save time, money and more importantly have a much less stressful experience.

 

This  technique uses machine learning in such a way that it is possible to study the way that elderly people speak when answering simple questions from a computer avatar.

The AI system is able to create a dialogue with elderly patients. It then records  their speech patterns, language, and faces. From this information it is then able to complete an evaluation from analyzing gaze, response times,  intonation, and language used.

After just six questions, the AI system was able to identify which patients in a control group did suffer from dementia, with a success rate of over 90%.

 

Future Potential

The senior research author Takashi Kudo said, “If this technology is further developed, it will become possible to know whether or not an elderly individual is in the early stages of dementia through conversations with computer avatars at home on a daily basis. It will encourage them to seek medical help, leading to early diagnosis.”

 

One of the main advantages here, is that not only is the success rate of the test already high, with a potential for early and accurate diagnosis,  it can be a test which is very easily conducted at home. There is no need to visit any medical center, or Doctors office. This convenience can only be a positive thing – often travelling  can be a factor in determining whether an elderly patient feels well or confident enough to undergo traditional methods of testing.

 

This is an excellent example of how advances in the health tech industry mean  that healthcare is now becoming much more accessible. And more importantly, here is a major improvement in diagnosis and treatments for a whole range of issues. Patient care with regards to dementia is one of these areas which can benefit hugely.

 

By |2018-10-03T22:18:14+01:00Oktober 3rd, 2018|AI in news, News|0 Comments

How Aimedis is adding value to the Trillion Dollar Healthcare Industry

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

By |2018-06-28T19:23:05+01:00Juni 28th, 2018|Allgemein|0 Comments