AI will revolutionize Healthcare
Each patient is different, with unique conditions so that the approach has to be specified to fully meet their needs. It is time to unlock the potential of artificial intelligence and machine learning in data analytics and combine it with a design that focuses on humans, not the system.
Artificial intelligence technologies will transform the healthcare industry as we know it. New innovations are emerging every day. Below, there’s a list of the 6 aspects that will soon experience a drastic change.
1. Medical Records
Health records have always been a mess, containing an unbearable amount of paperwork. By using computer vision and natural voice processing it is now possible to convert records into electronic documents.
At this point, human help is still necessary to check for errors and make conclusions from given information. But this will change soon. By connecting this process to machine learning, we can constantly train artificial intelligence systems so that it can form accurate and well-structured digital health records in the future on their own.
2. Cloud Database
Healthcare is entering a cloud-based era. Thanks to AI technologies and data science access to your medical records will be effortless and unlimited to a particular location or timing.
The transformation will especially affect mHealth apps which will be able to sort personalized data, giving you access to all health-related information like prescriptions, insurance plans, and bills.
Soon, via mobile devices, everyone will have access to their medical records in an easy to read form. Artificial intelligence and machine learning software will provide personalized insights into one’s health condition, as well as advice on how to change lifestyle for a healthier one considering particular circumstances of an individual.
3. Decision-making Process
Have you ever wondered why the decision-making process, if it comes to healthcare, is so different from any other choice we have to make every day? Like for instance buying new shoes or choosing dinner at the restaurant. In most cases, we can explain exactly why we choose what we choose and thanks to that we can feel that we own this decision.
When it comes to healthcare the decision-making process is totally opposite. Clinicians tell us what to do, usually without full explanation. No wonder why most patients feel lost and powerless.
Data science is on its way to change it. By designing patient-friendly platforms that guide its user into making their own decision, doctor and patient can become equal partners and make a thoughtful decision that combines personal needs with professional expertise.
Everyone will be able to take full control over their own health while becoming a valuable partner in a conversation with specialists.
4. Mental Health Care
Artificial intelligence is a great chance for the improvement of the healthcare industry. One of the sectors that would benefit the most is mental health care.
AI would allow, among others, fast-tracking of most useful information from huge data sets with patients’ medical records.
Additionally, advanced AI tools will be used for guidance in choosing an optimal treatment method, as well as to predict the most likely outcomes of particular solutions.
Moreover, artificial intelligence will help fight depression.
The number of people struggling with depression has rapidly risen within the past few years, winning the title of the most popular illness of the XXI century. The new technology might have a solution to this plague.
By implementing AI services into data analysis based on personal features like age, gender, genetics, environment, etc., it is going to be possible to predict the likelihood of depression and moreover, predict potential reactions before they occur. Knowing that doctors will be able to come up with the best possible treatment much earlier than it is currently done.
5. Telehealth
Telehealth allows users to live-chat with doctors through online portals. Patients can exchange messages or video calls to have their condition diagnosed and get instructions on suitable treatment methods, as well as medical prescriptions.
The new alternative to traditional doctor appointments is especially useful for people living outside the cities where specialists are unavailable and elderly, who often find it hard to commute.
There is still one major obstacle preventing telehealth from expansion. People simply are not aware of those new opportunities and so that are unable to use them.
6. Radiology
Healthcare institutions specialized in radiology deal with numerous side processes apart from the main purpose which is focused on patients. Machine learning technology is now able to take those burdens away.
ML can support medical staff from the very first steps, like initial scheduling of the imaging examination, to stating the final diagnosis. In the meantime, ML tools will plan the treatment and create reports.
What May Stand On The Way Of Healthcare Revolution With Artificial Intelligence?
Employees fear that innovations will be taking on jobs previously done by humans.
While it may happen in some cases, mostly AI evolution will actually create more job opportunities for those working in the healthcare industry. The majority of them will include taking advantage of AI technologies.
This is why it is a must to absorb basic knowledge about data science and machine learning innovations and gain experience on how to use it to make your work more efficient.
Artificial Intelligence And Machine Learning In Healthcare — Summary
Artificial intelligence and machine learning will put the healthcare industry on the next level, providing more streamlined processes that will result in the increased satisfaction of patients. The increase in effectiveness will also translate to cost savings.
Only by implementing new technologies, it is possible to tailor services resembling patient’s needs.
