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Healthcare Application
May 3, 2020
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Healthcare Application

Doctor Advice, a Latest & Complete Medical Assistance Support System,which is a service that  provides care of the medical needs of patients right from recommending the right doctors within and outside our network of doctors and hospitals. This includes getting the patient’s requirements analyzed by suitable doctors and consultants before suggesting the correct path of treatment.

The business of healthcare isn’t just about being efficient. Healthcare organizations—both payers and providers—are focused on improving health, lowering cost, and providing better access to care for patients. With Robotic Process Automation (RPA), evidence-based care has never been easier. Create a highly secure, scalable, and reliable Digital Workforce to access, process, and retrieve data to make better decisions for your patients.

AI is transforming the practice of medicine

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments,the potential for both AI and robotics in healthcare is vast they are increasingly part of our healthcare eco-system

AI and robotics are so fastly evolving that it covers almost every step from early detection of a disease to diagnosing and after care. Some of them are discussed below

  • Caring for your health

One of AI’s biggest potential benefits is to help people stay healthy so they don’t need a doctor, or at least not as often. The use of AI and the Internet of Medical Things (IoMT) in people’s health applications is already helping people. These applications give a detailed performance reviews of one’s health and help in encouraging and improving their lifestyle towards a healthy physique. This helps in healthcare professionals to understand their patients well and help them to provide a better guidance and feedback.

  • Early Detection

AI helps in early detection of diseases so that they can take proper medical assistance,AI is already being used to detect diseases, such as cancer, more accurately and in their early stages. The use of AI is enabling review and translation of mammograms 30 times faster with 99% accuracy, reducing the need for unnecessary biopsies. Ai is also used in early detecting heart disease enabling doctors to better monitor patients

 

  • Diagnosis

Many multinational companies are working on this issue among them IBM’s Watson is helping healthcare organizations apply cognitive technology to unlock vast amounts of health data and power diagnosis.  Watson can review and store far more medical information – every medical journal, symptom, and case study of treatment and response around the world – exponentially faster than any human, apart from this, Google’s DeepMind Health is working in partnership with clinicians, researchers and patients to solve real-world healthcare problems

 

  • Decision Making

Timely decisions, and predictive analytics can support clinical decision-making andactions, using pattern recognition to identify patients at risk of developing a condition – or seeing it deteriorate due to lifestyle, environmental, genomic, or other factors – is another area where AI is amidst to take hold in healthcare.

 

  • Treatment

AI can help patients as well as doctors to better manage and comply with long term treatment programmes. Robots have been used in medicine for more than 30 years. They range from simple laboratory robots to highly complex surgical robots that can either aid a human surgeon or execute operations by themselves. In addition to surgery, they’re used in hospitals and labs for repetitive tasks, in rehabilitation, physical therapy and in support of those with long-term conditions.

 

  • After care

Robots have the potential to revolutionise end of life care, helping people to remain independent for longer, reducing the need for hospitalisation and care homes. AI combined with the advancements in humanoid design are enabling robots to go even further and have ‘conversations’ and other social interactions with people to keep aging minds sharp.

 

  • Research

The path from research lab to patient is a long and costly one. According to the California BiomedicalResearch Association, it takes an average of 12 years for a drug to travel from the research lab to the patient.Drug research and discovery is one of the most recent advancements for AI in healthcare. By directing the latest advances in AI to streamline the drug discovery and drug repurposing processes there is the potential to significantly cut both the time to market for new drugs and their costs.

 

  • Training

Health care learners and professionals need to be updated and proactive, as this profession is really vast and new diseases and innovations to solve them are evolving faster than ever, even there are upcoming technology trends which help them to cure a patient even faster from previous methods.AI allows those in training to go through naturalistic simulations in a way that simple computer-driven algorithms cannot. The advent of natural speech and the ability of AI to work instantly on a large database scenario, means the response to questions, decisions or advice from a trainee can challenge in a way that a human cannot. And the training programme can learn from previous responses from the trainee, meaning that the challenges can be continually adjusted to meet their learning needs. And this training can be taken anywhere at anyplace.

 

 

 

PREDICTING FATAL CARDIOVASCULAR DISEASES?

One of the ground realities which causes high mortality rate all over the world is heart disease.

 

This word heart disease is a broader word which involves all the “Cardio Vascular Diseases” like narrowed or blocked blood vessels that can lead to a heart attack, chest pain (angina) or stroke, other heart conditions that affect your heart’s muscle, valves, coronary artery disease, heart rhythm problems (arrhythmias) and heart defects you’re born with congenital heart defects and others.

 

Clinical Data Analysis proves to be a boon for medical science in prediction of these fatal Cardio Vascular Diseases.

 

Data mining converts huge amount of raw healthcare data into information for making judicious and well-versed decisions and predictions. Several constraints such as diabetes, high blood pressure, high cholesterol, abnormal pulse rate, and many other factors make it very difficult to identify heart disease but the modern approaches of Data Science like Data Mining and Machine Learning prove to be effective assistants in the prediction through the large amount of Data produced by healthcare industry.

 

So, the impetus is on Data Science which is emerging as one of the wonders of Science by its application in various spheres of our lives.

 

Here’s the bottom line,

 

Our Doctor Advise product provides you the treatments and opinions that gives you the benefit of our latest research with easing off factors such as time, transportation or energy to travel to doctor’s clinic.

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