Artificial intelligence is inevitably going to play a vital role in revolutionizing healthcare to enable healthcare systems to provide better care and patient experience. Here are few of the ways in which AI will enable medical professionals to improve patient experience.
- AI has the potential to improve the healthcare user experience
Healthcare organizations are recognizing that creating a positive user experience can affect patient outcomes. A recent study found that 83% of patients report poor communication as the worst part of their healthcare experience. AI technologies like Natural Language Processing (NLP), predictive analytics and speech recognition, ChatGPT could help healthcare providers have more effective communication with patients. AI’s utility into healthcare can enhance the patient experiences by streamlining appointment scheduling, and suggesting healthcare providers. For instance, AI, can help summarize dense medical literature, discuss patient’s treatment plan options thereby allowing the healthcare provider to have more meaningful conversations with the patient and improve the shared decision-making process.
2. AI could be used to increase efficiency in healthcare diagnoses
According to Harvard’s School of Public Health using AI to make clinical diagnoses may reduce treatment costs by up to 50% and improve health outcomes by 40%. AI and automation provide operating leverage for healthcare institutions, enhancing efficiency and capture medical data quickly to allow for medical practitioners to make a timely diagnosis.
Al algorithms can assess medical imaging data to identify early signs of cancer, often at a lower cost. A research team from anther University found that deploying deep earning AI technology can improve breast cancer risk prediction and indicating that an AI algorithm can be trained on a much larger set of images than a radiologist, increasing scalability of healthcare professionals.
In another published study, researchers from US, Germany, and France used deep learning on more than 100,000 images to identify skin cancer. Not surprisingly, AI outperformed in diagnosing skin cancer when compared to the performance of 58 international dermatologists.
AI in healthcare is rapidly evolving to drastically transform patient care and healthcare operations. While challenges like data quality and bias will need to be addressed, the readiness of AI integration is evident.