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Artificial Intelligence is transforming our lives in many different areas, none more so than the healthcare sector. In the last decade, for example, there has been an explosion of innovation in digital healthcare technologies. Medical alert devices, for example, help people to live independently for longer thanks to remote support from caregivers and clinicians.
Let's take a look at how AI is helping to improve things for patients and the medical profession.
Thanks to machine learning, physicians and hospital staff get access to data-driven clinical decision support. This not only paves the way for increased revenue. Deep learning, a subset of AI, also helps identify patterns and uses algorithms and data to give healthcare providers automated insights.
There are lots of ways AI can improve healthcare when it comes to fostering preventative medicine and the discovery of new drugs. A couple of examples include IBM Watson's ability to pinpoint treatment for cancer patients. Google Cloud's Healthcare app makes it easier for health organizations to collect, store, and access patient data.
IBM Watson's Genomic product was used by researchers at the University of North Carolina Lineberger Comprehensive Cancer Center to identify specific treatments for more than 1,000 patients. It was able to do this by performing big data analysis and determining treatment options for people with tumors who were showing genetic abnormalities.
Google's Cloud Healthcare app programming interface helps physicians make more informed clinical decisions regarding their patients thanks to CDS offering and other AI solutions. Data taken from users' electronic health records are stored in the cloud. AI then creates insights for healthcare providers.
When Google worked with the University of California, the University of Chicago, and Stanford University, it generated an AI system that was able to predict the outcomes of hospital visits. Such information was used to prevent readmissions and shorten the number of times patients stayed in the hospital.
Artificial Intelligence or machine learning brings numerous benefits when used in healthcare and medicine. For example, it means tasks can be automated and big patient data can be analyzed to deliver better healthcare faster and at a lower cost.
According to research, as much as 30% of healthcare costs are associated with administrative tasks. Thanks to AI, some of these tasks can be automated, thereby saving time and easing the workload of healthcare professionals.
AI can help with pre-authorizing insurance, following up on unpaid bills, and maintaining records.
AI is able to analyze big data sets. It pulls together patient insights and can provide predictive analysis. AI quickly obtains patient insights, thereby helping the healthcare system discover key areas of patient care that are in need of improvement.
There is a range of wearable healthcare technology that includes FitBits and smartwatches. This use AI to better serve patients. The software in these devices analyzes data to alert users and their healthcare professionals on potential health issues and risks. Because you're able to assess your own health using technology, it eases the workload of professionals and prevents unnecessary hospital visits or remissions.
Artificial Intelligence in healthcare has been a hot topic for several years now. But what does the future hold?
The most exciting artificial intelligence healthcare applications help doctors to improve diagnostic procedures. It is used for automating the diagnostic process and the way patients receive their treatments.
To improve drug efficiency and reduce development costs, pharmaceutical companies use AI technology in their operations.
Artificial intelligence helps hospitals, doctors, and clinics better service patients. It can help manage the flow of in-patients and outpatients. It helps hospitals better manage patient data such as admission dates, medical information, and payment data.
The healthcare sector is one of the most targeted industries for hackers. Valuable healthcare records sell for vast amounts of money. Therefore, being able to efficiently manage medical data is critical. There is a range of AI solutions that help medical professionals manage their vast medical data.
AI robots can optimize the surgery process and reduce errors that may happen with physicians. Robot-assisted surgeries also offer less pain and quick recovery time.
AI brings advanced radiology tools to the market. Medical staff can use these tools to accurately diagnose diseases and provide physicians with instant insights into patient data.
Smart devices can monitor a patient's condition and inform physicians if any complications are found.
Health monitoring wearables include smart bands, step trackers, and much more. AI is used in these devices to collect valuable data about the user's health. Things such as heartbeat, oxygen levels, blood pressure, steps walked, and quality of sleep can all be tracked and analyzed with AI.
