Introduction
Within the transforming health industry, patient disengagement is emerging as a pressing trend, as organizations are working hard to win back the trust of patients and adapt to non-traditional care settings and better consumer-centric approaches. Since COVID-19, the adoption of technology and digitization, has radically changed the healthcare environment as patients are being enabled with more individualized healthcare delivery options.
Let us read further into this blog and learn about the top healthcare use cases in 2023 that improved patent outcomes. It is essential to increase patient involvement, provide quality care, and concentrate on value-based care to navigate a changing healthcare environment. This blog will discuss it all and explore each use case in detail, shedding light on the innovative approaches and how they can reshape patient care outcomes in 2023.
Use Case 1: Devising a Better Patient Experience
Everyone acknowledges that patient experience is a vital matter of concern in the field of healthcare, and various technological inventions assist with these practices. Automation, Various AI applications in healthcare, and digitization are the only sure ways of achieving it.
The adoption of innovations such as generative AI or natural language understanding in the contemporary environment will enhance the patient experience tremendously.
For example, a virtual assistant chatbot shall help patients receive expert medical advice without having to travel and hence improve access to health care, especially in rural places and poor communities in the developed world. This chatbot will be trained on medical datasets and large language models (LLM), making it capable of understanding natural language queries and generating responses similarly.
The chatbot Saal has developed for the Department of Health (DoH) Abu Dhabi, is an example of a virtual chat assistant.
Use Case 2: Avoid unnecessary medication or surgery
We know that diagnoses are susceptible to human errors, often leading patients to undergo unnecessary surgeries or medication. It incurs financial losses for patients and also adds to their physical struggles.
One of the top healthcare use cases in 2023 is leveraging predictive analytics to identify patients at risk of diseases that may necessitate specific surgeries or medication. This approach allows early case detection giving time for proper treatment planning, identifying alternatives to surgeries, and ensuring preparedness well in advance if the surgery is unavoidable.
ConsumerMedical has implemented predictive analytics to identify patients who are most likely to be considered for surgeries, giving them an early advantage to explore medication possibilities instead of choosing for surgeries.
Use Case 3: Dementia Detection Using iPhone
A study conducted by NCBI in 2018 revealed that nearly 1 in 3 children born in 2015 and further are more likely to suffer from dementia. The average cost for treating dementia in the USA is expected in the range of $118,000.
Early detection is crucial to help parents identify the potential onset of dementia in their children and avoid the financial burden. A 5-minute cognitive assessment test developed by Cognetivity Neurosciences performs the entire test on an iOS device like an iPhone to detect early signs of dementia.
Another impressive example of AI application in healthcare. This assessment uses various algorithms to cluster the performance based on accuracy, response time, and other response factors. The outcome is the early detection of the signs and other mental impairments.
Use Case 4: Early Heart Disease Detection
Hence, the tiny variation in the heartbeat is often faint when using a stethoscope, making it challenging for doctors to detect or predict impending heart failure or diseases. These heart murmurs serve as potential indicators of failures, and early detection, along with proper diagnosis, can save lives.
Eko AI has developed a smart algorithm capable of accurately identifying sounds associated with aortic stenosis (AS) with a 97% accuracy rate. Nowadays, many wearable devices are available in the market that can track heart rates in real-time, aiding in the identification of such anomalies.
Final Thoughts
AI applications in healthcare have significantly enhanced patient care and outcomes in 2023. As innovation and technology continue to evolve rapidly in the upcoming years, the involvement of AI is expected to grow, further catering to improved and informed patient outcomes.
We would appreciate your feedback on this blog. Please feel free to share it at [email protected].
