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Healthcare

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Good health is crucial to human well-being and happiness. Not only healthy beings live longer, but they are more productive as well. And, this makes it a significant contributor to economic progress. While many factors are responsible for the health status of a country including the government’s ability to provide quality health services, groundbreaking technological improvements have taken the healthcare sector by storm. From the paper health records to their digital version, sharp surgical tools to laser technology, and doctors conducting operations to robots performing the same, technology has redesigned the healthcare landscape across the globe.

Let’s delve deep into the latest technological advancements that are proving to be a boon for the human race!

Use Of Machine Learning In Healthcare

Big data and machine learning have proved to very beneficial in healthcare. It’s safe to say there are too many manual processes in medicine. Though still many little jobs like writing the lab values, diagnoses, and other chart notes are still done on paper technology has helped in improving the workflow and benefitted the patient care. Advancements in electronic medical records are remarkable, but the knowledge supplied in the healthcare isn't far better than the old paper charts they replaced. If technology is to enhance care within the future, then the electronic information provided to doctors must be improved by using the facility of analytics and machine learning in healthcare.

Using these sorts of advanced analytics we can enjoy the benefits of big data in healthcare.  This will enable access to better information to doctors which will lead to improved patient care. Having quick access to the vital sign and other vital signs once the doctor sees his patient has become routine and expected because of machine learning. Imagine how useful it might be for the doctors and healthcare if the patient’s risk for stroke, arteria coronaria disease, and renal failure supported the last 50 blood pressure readings, lab test results, race, gender, case history, socioeconomic status, and latest clinical test data.

We need to advance more information to clinicians in order that they can make better decisions about patient diagnoses and treatment options while understanding the possible outcomes and price for everyone. The value of machine learning in healthcare is its ability to process huge datasets beyond the scope of human capability. It is not limited to this point only. Machine learning can then reliably convert analysis of that data into clinical insights that aid physicians in planning and providing care, ultimately resulting in better outcomes, lower costs of care, and increased patient satisfaction.

Chatbots

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The next step towards future is probably a chatbot, which is nothing but a bot that can understand what a patient wishes to convey to it. And, then it can offer a plethora of services, at the touch of one’s hand. Already, there are quite a few chatbots like Florence and YourMD, deployed at the service of humans. While Florence is just like a virtual nurse reminding patients about the medicines they need to take, it also lets patients book an appointment with a doctor in the vicinity. Further, YourMD is something that takes physician consulting to the next level as it asks patients about some symptoms and based on the response, it can refer a patient to a suitable physician.

Social Media

As social media is already evolving, platforms like Facebook and Twitter have become crucial for those who need immediate medical attention. Here people are helping out one another irrespective of nationality, colour and religion to the best possible extent. Also, with the help of social media and the growing popularity of crowdfunding, many people who cannot afford medical expenses have been able to raise money for the treatment. Artificial intelligence (AI) can offer huge help when it comes to scanning millions of posts from users to identify the ones that need special and immediate attention.

Identification Systems

As soon as a patient is admitted to a hospital, the doctors try to scan the medical history of the patient or the family. Though all the hospitals do not have a complete profile of patients, some specialty hospitals usually maintain a profile against each patient so that in case of an emergency, doctors can take crucial decisions at the earliest. Undoubtedly, identification systems are being developed across the globe to help doctors and medics deal with such situations.

Personalised Medicine

These days, most of the medicines or their chemical compositions are found to have an adverse effect on a fraction of its user base. Sometimes, many things go wrong with a patient just because their body is not capable of accepting a certain kind of medicine, but they are consuming it unknowingly. Just for the sake of the safety of the patients and to avoid this kind of damage, the demand for personalised medicine is growing at a breakneck pace. Experts believe that personalised medicine is expected to replace the conventional static methods of diagnosis and medication in the future.

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AI- and Data-driven Prevention

There is no doubt that based on the health-related data of users, AI-enabled tools can predict future medical situations and also warn a person to change food habits, have a healthy lifestyle and much more. In the same way, dataset obtained from a group of people can help doctors understand the factors that may lead to certain diseases. Also, maintaining data like oil and fat consumption can help everyone adopt a healthy diet. Thus, it helps keep critical diseases and medical conditions at bays.

As these practices go mainstream and get adopted across the world in the future, the lifestyle and lifespan of the people will improve further. Also, it would be possible for many to prevent deadly diseases and adverse health problems. Further, the earlier Internet will expand its wings, the sooner technological advancements in the field of healthcare will be able to bless mankind.

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