Artificial Intelligence (AI) is a boon to the healthcare industry. It has gained significant traction in recent times from optimizing healthcare operations to providing superior diagnosis and treatment. Today we will look at some exciting examples.
Recent AI Led Innovations Which Have Revolutionized Healthcare
1. Cleveland Clinic, Ohio (uses AI to personalize healthcare plans)
The Cleveland Clinic teamed up with IBM in using AI to gather information on trillions of administrative and health record data points for streamlining the patient experience. This is helping the Clinic in personalizing healthcare plans on an individual basis.
2. Ciox Health, Georgia (AI for health data and workflow management)
Ciox Health uses machine learning to enhance “health information management and exchange of health information,” with the goal of modernizing workflows, facilitating access to clinical data, and improving the accuracy and flow of health information.
3. Johns Hopkins Hospital, Maryland (faster hospital visits, courtesy of AI)
Johns Hopkins Hospital partnered with GE to use predictive AI techniques to improve the efficiency of patient operational flow. A task force, augmented with artificial intelligence, quickly prioritized hospital activity for the benefit of all patients. Since implementing the program, the facility has seen a 60% improvement in its ability to admit patients and a 21% increase in patient discharges* before noon, resulting in a faster, more positive patient experience.
4. Spring Health, NY (AI for mental health)
Spring Health offers a powerful mental health benefit solution that employers can adopt to provide their employees with the resources they need to best keep their mental health in check. It works by collecting a comprehensive dataset from each individual and comparing that against hundreds of thousands of other data points to detect potential triggers. The platform then uses a machine-learning model to match them with the right specialist for either in-person care or telehealth appointments.
5. Auris Health, California (AI robots revolutionizing endoscopy)
Auris Health develops a variety of robots designed to improve endoscopies by employing the latest in micro-instrumentation, endoscope design, data science and AI. This helps doctors in getting a clearer view of a patient’s illness from both a physical and data perspective.
6. Xtalpi, Massachusetts (AI cloud-based digital drug discovery)
Combining AI, the cloud and quantum physics, XtalPi’s ID4 platform predicts the chemical and pharmaceutical properties of small-molecule candidates for drug design and development. Additionally, the company claims its “crystal structure prediction technology (aka polymorph prediction)” predicts complex molecular systems within days rather than weeks or months.
Healthcare institutions have started leveraging AI to combat rising costs, evolving regulations, changing demographics, and are integrating it in countless digital solutions. This has immense potential of further improving workforce productivity, operational efficiency, mitigating risk, and enhancing patient experience. In fact, within the next three years, 75% of healthcare institutions* expect to be using AI in some form.
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*References:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616181/
https://builtin.com/artificial-intelligence/artificial-intelligence-healthcare
https://www.mobihealthnews.com/news/contributed-top-10-use-cases-ai-healthcare
https://healthitanalytics.com/news/top-12-ways-artificial-intelligence-will-impact-healthcare
https://sage-growth.com/index.php/category/reports/
