Artificial Intelligence for Health and Healthcare

  • Artificial intelligence (AI) is one of the technologies that could have the biggest impact this year on health and healthcare. While there is a fear that machines will replace humans, in reality, the technology will help offset the global deficit of skilled professionals.

     

    Artificial intelligence (AI) is one of the technologies that could have the biggest impact this year on health and healthcare. While there is a fear that machines will replace humans, in reality, the technology will help offset the global deficit of skilled professionals.

     

    1. Adoption - By 2025 there will be large-scale adoption of artificial intelligence for health and healthcare. More than 50% of the interviewees think that it will be omnipresent in six years.

    2. Return on investment - There is a great need for artificial intelligence in health and healthcare. Nearly 50% of US companies believe that the healthcare industry needs to receive more specific information about the return on investment (ROI) of artificial intelligence and machine learning.

    3. Artificial intelligence for decision making - The most important use of artificial intelligence for health and healthcare will be in decision support systems. Analyzing higher quality data that results in improving the results of treatments or interventions in patients were classified as the main use of artificial intelligence.

    4. Impact and cost of artificial intelligence - Hospitals will base their decisions on the impact on patient health and cost savings. In a range of 1 to 5, the impact on the health of the patients obtained 4.2 points, while the cost efficiencies received a score of 4.1.

    5. Chronic diseases - The short-term focus is on improving the care of patients with chronic diseases. When asked about projections of improvement in patient care, almost half of those surveyed mentioned those with chronic illnesses.

    Public health institutions are under increasing pressure to present compelling arguments when suggesting the acquisition of systems that integrate artificial intelligence. Although its use is still incipient, there are success stories that can guarantee the investment amounts.

    Artificial Intelligence To Detect Addictive Behavior

    It is very difficult to detect patients who are at risk of becoming addicted and to generate information that alerts doctors. With an artificial intelligence-based solution that combines textual analysis of medical notes with clinical patient information housed in electronic medical records, physicians have been successfully averted by identifying high-risk behaviors, resulting in the detection of 85,000 patients who were looking for drugs and generated savings of 60 million dollars to the health care provider.

     

    Artificial Intelligence For The Care And Treatment Of Diseases

    The latest monitoring systems allow the patient to improve control of their health status thanks to constant knowledge of the most relevant indicators. Heart rate, sleep patterns or physical exercise are some of the variables analyzed and, based on the information obtained, these tools establish behavior patterns based on people's activity. Thus, patients are able to pose their own challenges based on their personal characteristics and begin to make decisions in which technology helps motivate them by observing their own progress.

     

    The latest monitoring systems allow the patient to improve control of their health status thanks to constant knowledge of the most relevant indicators. Heart rate, sleep patterns or physical exercise are some of the variables analyzed and, based on the information obtained, these tools establish behavior patterns based on people's activity. Thus, patients are able to pose their own challenges based on their personal characteristics and begin to make decisions in which technology helps motivate them by observing their own progress.

     

    Add to this being able to access data from Electronic Health Records (EHRs) or being an integral part of healthcare revenue cycle management and AI can be a massive benefit to the many divisions within health care. It can even speed up drug development by gathering relevant datasets and patient engagement protocols within clinical trials.

     

    Source: https://techtalk.vn/blog/posts/artificial-intelligence-for-health-and-healthcare