Artificial intelligence makes the lives of patients, doctors, and hospital administrators simpler by performing tasks that are normally performed by humans, but in less time and at a much lower cost.
AI in healthcare comes into play in many ways, such as finding new relationships between genetic codes, powering robots that assist in surgery, automating administrative tasks, personalizing treatment options, and much more.
AI in healthcare refers to the use of machine learning, natural language processing, deep learning, and other AI technologies to improve the experiences of both healthcare professionals and patients. The data-processing and predictive capabilities of AI enable healthcare professionals to better manage their resources and take a more proactive approach to various aspects of healthcare.
With these technologies, doctors can make quicker and more accurate diagnoses, health administrators can search electronic health records faster, and patients can receive more timely and personalized treatment. To provide a better understanding of this rapidly evolving field, we have presented some examples and use cases of AI in healthcare.
Each year, approximately 400,000 hospitalized patients suffer preventable harm , including 100,000 deaths. With this in mind, the promise of improving the diagnosis process is one of the most exciting healthcare applications of AI. Incomplete medical histories and large caseloads can lead to fatal human errors. Immune to these variables, AI can predict and diagnose illness at a faster rate than most medical professionals.
The drug development industry is plagued by skyrocketing development costs and thousands of man-hours of research. It costs an estimated average of $1.3 billion to get each drug through clinical trials, and only 10 percent of those drugs are successfully brought to market. Due to breakthroughs in technology, AI is speeding up this process by helping to design drugs, predict any side effects, and identify ideal candidates for clinical trials.
AI can be used to support digital communications, give schedule reminders, provide health tips to patients, and suggest next steps. AI’s ability to assist in health diagnosis also improves the speed and accuracy of patient visits, leading to faster and more personalized care. And efficiently providing a seamless patient experience allows hospitals, clinics, and physicians to treat more patients on a daily basis.
Many times very valuable information is lost in the jungle of trillions of data points. Additionally, the inability to connect critical data points slows down the development of new drugs, preventive medicine, and proper diagnosis. Due to its ability to handle vast amounts of data, AI breaks down data silos and connects information in minutes that previously took years to process. This can reduce the time and cost of healthcare administrative processes, making daily operations and patient experiences more efficient.
Hospitals use AI and robots to help with everything from minimally invasive procedures to open heart surgery. Surgeons can control the robot’s mechanical arms while seated at a computer console as the robot gives the doctor a three-dimensional, magnified view of the surgical site. The surgeon then leads other team members who work closely with the robot throughout the operation. Robot-assisted surgery has reduced surgical complications, decreased pain, and reduced recovery time.