In a transforming healthcare industry, patient disengagement is emerging as a pressing trend, as organizations work hard to regain patient trust and adapt to non-traditional care settings and better consumer-centered approaches. Since COVID-19, the adoption of technology and digitalization has dramatically changed the healthcare environment, with patients benefiting from more individualized healthcare delivery options.
Let’s continue reading this blog and learn about the top healthcare use cases in 2023 that have improved patent outcomes. Increasing patient engagement, providing quality care, and focusing on value-based care are critical to adapting to a changing healthcare environment. This blog will discuss it all and explore each use case in detail, highlighting innovative approaches and how they can reshape patient care outcomes in 2023.
Use case 1: Design a better patient experience
Everyone recognizes that patient experience is a vital concern in healthcare, and various technological inventions contribute to these practices. Automation, various applications of AI in healthcare and digitalization are the only sure ways to achieve this.
Adopting innovations such as generative AI or natural language understanding in the contemporary environment will significantly improve the patient experience.
For example, a virtual assistant chatbot will help patients receive expert medical advice without having to travel and thus improve access to healthcare, especially in rural areas and poor communities in developed countries. This chatbot will be trained on medical datasets and large language models (LLM), making it capable of understanding natural language queries and generating responses in the same way.
The chatbot that Saal developed for the Abu Dhabi Health Authority is an example of a virtual chat assistant.
Use Case 2: Avoiding Unnecessary Medications or Surgical Procedures
We know that diagnoses are prone to human error, often leading patients to undergo unnecessary surgeries or medications. This leads to financial losses for patients and also adds to their physical difficulties.
One of the biggest use cases in healthcare in 2023 is leveraging predictive analytics to identify patients at risk for diseases that may require specific surgeries or medications. This approach allows for early detection of cases, providing time to properly plan treatment, identify alternatives to surgical interventions, and ensure preparation well in advance if surgery is unavoidable.
ConsumerMedical implemented predictive analytics to identify patients most likely to be considered for surgery, giving them an early advantage to explore drug options instead of choosing surgery.
Use Case 3: Detecting Dementia Using an iPhone
A study conducted by the NCBI in 2018 found that nearly one in three children born in 2015 and beyond are more likely to have dementia. The average cost of dementia treatment in the United States is expected to be around $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 runs 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 evaluation uses various algorithms to group performance based on accuracy, response time, and other response factors. The result is early detection of signs and other mental deficiencies.
Use Case 4: Early detection of heart disease
Therefore, the small variation in heart rate is often small when using a stethoscope, making it difficult for doctors to detect or predict heart failure or impending illnesses. These heart murmurs serve as potential indicators of failure, and early detection, coupled with proper diagnosis, can save lives.
Eko AI has developed an intelligent algorithm that can accurately identify sounds associated with aortic stenosis (AS) with an accuracy rate of 97%. Nowadays, many wearable devices are available in the market that can track heart rate in real time, making it easier to identify these abnormalities.
Applications of AI in healthcare have significantly improved patient care and outcomes in 2023. As innovation and technology continue to evolve rapidly in the coming years, the involvement of AI AI is expected to grow, helping to improve and inform patient outcomes.
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