Artificial Intelligence in Healthcare: A Rescue Mission
Examples of Artificial Intelligence in healthcare:
Future of Healthcare Technology will be revolutionized!
The quest for artificial intelligence began more than 80 years ago. The idea was that computer technology management would one day be powerful enough to carry out tasks better and more efficiently than humans. Today, Artificial Intelligence in Healthcare promises to revolutionize healthcare services and industries.
Today, AI has come of age. It’s already having an impact on many parts of human life – from self-driving cars to finding soulmates. But perhaps its greatest impact will be AI on medicine and the way human health is monitored.
The doctor patient relationship is a founding principle of healthcare and medicine. The first step is to eliminate keyboards, computer screens and clinical encounters. Some doctors in the West can spend up to twice as many hours on medical paperwork than with their patients.
In the years ahead, it would be possible to eliminate the data clerk functions of clinicians. These are mutually hated as much by patient as by doctors and clinicians. AI tools such as speech recognition technology – that’s now commonplace in homes would be used in clinical settings for capturing data and notes allowing doctors to concentrate on people.
There is also a problem with accuracy and efficiency. Trained on a huge resource of medical data, the power of AI learning can read some images more accurately than humans. Whether it’s a pattern like a scan, a slide or prediction – AI in healthcare can really rev up the accuracy. And that is important for better diagnosis, treatments, outcomes, and lower costs.
Powerful machines can interpret scans 150 times faster than radiologists and can work 24 hours a day. AI can even suggest a diagnosis. Many conditions could be AI diagnose allowing doctors to come into play to very specific and important diagnoses.
Data is critical for improving the understanding of disease and illness. The more data is understood, the better the chances of preventing, diagnosing, and curing. But currently, only about 5% of medical data is used effectively.
There was once a problem with generating huge volumes of data – terabytes of data for each person. But a way to analyze, extract, and distillate the data was unknown and absent. And that’s what artificial intelligence in healthcare is about.
Harnessed to wireless devices, AI could oversee every facet of people’s health data – from family history to food intake to exercise. People will have the opportunity to have this real integrated view of themselves to help prevent illness and to guide them for better management of conditions. Over time, there will be a virtual coach for promoting health.
One of the examples of artificial intelligence in healthcare include diabetes – one of the most prolific diseases that demand the most care. Constant AI monitoring could transform and empower people to take charge of their own health.
Another way that AI will kick in over time is by getting rid of hospital rooms. Patients can be monitored in the comfort of their own homes because they can have the sensors that would provide the same type of monitoring like someone being in the intensive care unit. Caring for people outside of medical settings would not only prevent hospital acquired disease – but it would also save money. All of these favor the reliance on a patient’s bedroom rather than the hospital room. A lot of patients that don’t need to be employed in the hospital settings are being admitted to hospitals on a regular basis. Caring for people in their own homes would be a great way to reduce the burden on hospitals in the future. In the United States, hospitals cost five thousand dollars a night. This could be used to get a lot of data plans and go for years for that cost.
If the clinical community stood up for patients – all the power, efficiency, productivity, and workflow from AI is going to be used to give the gift of time to doctors, nurses, and patients. That is how a rescue mission for healthcare can be achieved.
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