Artificial Intelligence (AI) is commonly known for its ability to have machines perform tasks that are associated with the human mind – like problem-solving. However, what’s less understood is how AI is being used within specific industries, such as healthcare.
The healthcare industry continues to evolve as machine learning and AI in technology become more popular in the digital age. Business Insider Intelligence reported that spending on AI in healthcare is projected to grow at an annualized 48% between 2017 and 2023.
What is Artificial Intelligence in Healthcare?
Machine learning has the potential to provide data-driven clinical decision support (CDS) to physicians and hospital staff – paving the way for increased revenue potential. Machine learning, a subset of AI designed to identify patterns, uses algorithms and data to give automated insights to healthcare providers.
Examples of AI in Healthcare and Medicine
AI can improve healthcare by fostering preventative medicine and new drug discovery. Two examples of how AI is impacting healthcare include
IBM Watson’s ability to pinpoint treatments for cancer patients, and Google Cloud’s Healthcare app that makes it easier for health organizations to collect store, and access data.
Business Insider Intelligence reported that researchers at the University of North Carolina Lineberger Comprehensive Cancer Center used IBM Watson’s Genomic product to identify specific treatments for over 1,000 patients. The product performed big data analysis to determine treatment options for people with tumors who were showing genetic abnormalities.
Comparatively, Google’s Cloud Healthcare application programming interface (API) includes CDS offerings and other AI solutions that help doctors make more informed clinical decisions regarding patients. AI used in Google Cloud takes data from users’ electronic health records through machine learning – creating insights for healthcare providers to make better clinical decisions.
Google worked with the University of California, Stanford University, and the University of Chicago to generate an AI system that predicts the outcomes of hospital visits. This acts as a way to prevent readmissions and shorten the number of times patients are kept in hospitals.
Benefits, Problems, Risks & Ethics of AI in Healthcare
Incorporating AI into the human services biological system takes into consideration a large number of advantages, including robotizing errands and breaking down enormous patient informational indexes to convey better social insurance quicker, and at a lower cost.
As per Business Insider Intelligence, 30% of human services costs are related to regulatory errands. Artificial intelligence can robotize a portion of these errands, as pre-approving protection, following-up on unpaid bills, and looking after records, to facilitate the remaining burden of social insurance experts and at last set aside the cash.
Simulated intelligence can break down enormous informational indexes – arranging persistent experiences and prompting the prescient investigation. Rapidly getting quiet bits of knowledge enables the medicinal services’ biological system to find key zones of patient consideration that require improvement.
Wearable social insurance innovation likewise utilizes AI to more readily serve patients. Programming that utilizes AI, as FitBits and smartwatches, can examine information to caution clients and their medicinal services experts on potential medical problems and dangers. Having the option to survey one’s wellbeing through innovation facilitates the remaining task at hand of experts and forestalls superfluous medical clinic visits or reductions.
Likewise, with everything AI, these medicinal services innovation headways depend on information people give – which means, there is a danger of informational collections containing oblivious predisposition. Past encounters have demonstrated that there is potential for coder inclination and predisposition in AI to influence AI discoveries. In the delicate social insurance advertise, particularly, it will be basic to set up new morals rules to address – and forestall – inclination around AI.
Future of Artificial Intelligence in Healthcare
The utilization of AI in the social insurance showcase is becoming because of the proceeded with interest in wearable innovation, advanced medication, and the business’ general change into the cutting edge, computerized age.
Emergency clinics and social insurance experts are seeing the advantages of utilizing AI in innovation and putting away patients’ information on private mists, similar to the Google Cloud Platform. Artificial intelligence permits specialists and patients to all the more effectively get to wellbeing records and evaluate patient’s wellbeing information that is recorded over some time using AI-mixed innovation.
Wellbeing tech organizations, new companies, and medicinal services experts are finding better approaches to join AI into the social insurance showcase; and, the speed at which we improve the human services framework through AI will just keep on quickening as the business jumps further into advanced wellbeing.