19 Ways AI May Soon Revolutionize The Healthcare Industry

Technology experts are clear: Artificial intelligence is poised to revolutionize procedures and tasks across industries—and healthcare is no exception. While it’s not anticipated that AI can ever replace human doctors’ intelligence, empathy and reasoning, tech experts say it can provide invaluable assistance in a variety of health applications.

From managing administrative tasks to analyzing big data to help diagnose disease, AI may soon be enhancing and accelerating cutting-edge patient care and extending the capacity and reach of top-quality healthcare professionals and facilities. Below, 19 members of Forbes Technology Councildiscuss ways medical organizations may soon routinely leverage artificial intelligence to improve patient care.

Extending The Reach Of Top-Quality Medical Care

AI is revolutionizing all industries. Within the medical industry, AI could provide even the most remote locations access to world-class medical expertise. AI-driven medical imaging eliminates human error, resulting in fewer misdiagnoses and false positives, and allows for faster diagnosis of diseases, leading to more effective treatment plans. – Neil Lampton, TIAG

Providing Rich Responses To Patient Queries

Medical organizations are using artificial intelligence to improve patient engagement in new and exciting ways. Although chatbots are not new, some facilities are now using AI-assisted chatbots that act more like “digital assistants,” gathering information from channels such as email, social media and others to provide a rich response to any query. This will result in improved patient engagement and outcomes. – Qusai Mahesri, Xpediant Digital

Accelerating Clinical Trials

One way medical organizations can leverage AI is through the implementation of a modern statistical computing environment. With a modern SCE, organizations can maximize acceleration in clinical trials by incorporating AI to quickly get novel medicines and vaccines to patients in need, ultimately improving patient care and prognoses. – Thomas Robinson, Domino Data Lab

Improving Patient Adherence To Recommended Care

Recent advances in data, AI-enabled analytics and behavioral science have made it possible to execute personalized strategies to keep care managers in regular contact with patients to improve adherence to recommended care. The technology is helping providers, payers and employers recommend treatment for at-risk patients earlier, engage more deeply and nudge patients toward the best possible outcomes. – Vivek Jetley, EXL

Monitoring And Analyzing Vital Signs

Beyond the analysis of medical images and statistical data analysis, medicine could benefit from AI at the edge through a device that constantly monitors and analyzes a patient’s vital signs. Artificial intelligence could predict a crisis based on a patient’s breathing rate, electrocardiogram and other vital signs, reporting the patient’s status to the nurse’s station. This can improve patient care and free up human resources. –Peter van der Made, BrainChip LTD

Enhancing Diagnostics Through Big Data

One major way in which medical and health organizations can leverage AI to improve patient care is through the implementation of big data organization and analysis in diagnosis. After all, there is only a limited amount of information and data that a human doctor can use when diagnosing a patient. AI lifts this limit with its ability to incorporate data from billions of patients simultaneously. –Peter Abualzolof, Mashvisor

Delivering Proactive Care

The benefit of AI is its ability to operate and learn fairly autonomously. In this way, AI can act as a resource by constantly learning from historical patient data to deliver proactive care. For example, a model can train on a patient’s historical data and deliver proactive messaging to the patient so that administered care can be delayed or even avoided. –Shubh Sinha, Integral

Analyzing Medical Images

One way medical organizations are leveraging artificial intelligence to improve patient care is through the use of AI-powered diagnostic tools. These tools can analyze medical images, such as X-rays, CT scans and MRIs, to identify signs of disease or abnormalities more quickly and accurately than human experts. – Mehmet Akcin, EdgeUno

Improving Biopsy Procedures

Healthcare companies are using AI to build models that look at tumor biopsy images and predict whether a patient has specific mutations. With that knowledge, doctors can tailor more effective therapies, saving lives. AI image analysis is much cheaper and easier than full DNA sequencing, enabling optimal treatments for more patients. – Nick Elprin, Domino Data Lab

Triaging Patients

AI chatbots will become ubiquitous. They will carry out front-line triage before a patient even walks in the door of a medical facility. And there are many additional ways for AI to assist medical professionals with providing care, from alerting staff of the need to attend to a patient’s specific needs to recommending tests to rule out a diagnosis by comparing patient history and symptoms—and many more. – John Zahorsky, Eden Autism

Indexing Common Health Markers

I imagine a blockchain-enabled medical resource with an evolving AI. The AI will learn by ingesting patient, practice and research data and will create an index of common markers among patients and medical conditions. This could allow medical researchers to see a much bigger picture and could provide doctors with much more accurate information, on demand, when treating their patients. – Robert Martin, Oil City Iron Works, Inc.

Evaluating Patients After Hospital Discharge

AI is a powerful technology for telemedicine and remote evaluation of patients after they have been discharged from the hospital. Instead of coming to the hospital for a checkup, a patient can fill in a questionnaire and AI-powered wearable devices can notify medical personnel if an in-person appointment is needed or even about a critical condition. –Yuriy Berdnikov, Perpetio

Optimizing Medical Facilities’ Staffing, Scheduling And Resource Planning

Medical organizations are increasingly using AI to improve patients’ experience and outcomes through optimized staffing, scheduling and resource planning. By analyzing metrics such as emergency room demand, admission rates and treatment needs, administrators can use predictive analytics to ensure they have the personnel, equipment and accommodations necessary to meet patients’ needs. – Merav Yuravlivker, Data Society

Enabling More Informed Treatment Decisions

AI can analyze medical images, such as X-rays or MRIs, and assist radiologists in detecting abnormalities. This can improve the accuracy of diagnoses and reduce the likelihood of missed diagnoses. AI can also help medical professionals make more informed decisions regarding treatment plans and provide personalized care by taking into account a patient’s medical history and genetic makeup. – Satish ShettyCodeproof Technologies Inc.

Streamlining Administrative Tasks

Machine learning enhances healthcare by analyzing patient data, customizing care and refining diagnoses. AI streamlines administrative tasks, improving operational efficiency and enabling providers to prioritize patients. In urgent situations, AI delivers immediate guidance, boosting treatment results. As AI technology advances, it will promote more effective care and superior patient outcomes. – Jennifer Gold, Apollo Information Systems

Identifying Patients At Risk Of Certain Diseases

Medical organizations are leveraging artificial intelligence to improve patient care by using predictive analytics to identify patients who are at risk of developing certain diseases. This allows doctors to intervene earlier to potentially prevent disease development. Additionally, AI chatbots can provide patients with personalized health recommendations and support, improving patient engagement and outcomes. –Ankush Sabharwal, CoRover

Personalizing Treatment Plans

Personalized medicine is a key area of opportunity for AI to improve patient care, both for preventative care as well as medical treatment. The ability to align guidance and treatment more closely to every person’s response to care will drive better outcomes. – Lucas Persona, CI&T

Estimating Patient Care Costs

Medical facilities can use AI to diagnose chronic issues such as psoriasis by smart image scanning based on millions of images. This doesn’t replace medical advice, but it complements a professional human eye by providing estimates on how much patient care is going to cost for that particular case. That saves organizations time and money and ensures patients are being treated effectively. – Jacob Mathison, Mathison Projects Inc.

Transcribing And Analyzing Doctor-Patient Conversations

AI-powered speech recognition technology can transcribe doctor-patient conversations and analyze them for insights. The technology can identify important information, such as symptoms, diagnoses and treatment plans, that might be missed or misinterpreted by healthcare providers. –Emmanuel Ramos, OZ Digital Consulting

Published previously on Forbes.