In the article “Driving a New and Improved Patient Experience with Data and AI”, the author explained in more depth how artificial intelligence, commonly referred to as AI and data, is transforming the patient experience and process that comes with it. This article discusses how patient experience can be significantly improved with AI technology, from registration to the completion of care for patient collections (Riggins, 2024). The survey, recently conducted and reported in the article, shows that 40% of patients can abandon or delay their appointments if they are not informed about the costs in advance. One of the new technologies discussed in the article is artificial intelligence analytics and generative AI. These technologies are applied in patient care and revenue cycle management.
My intended area of practice is children and adolescents, as pediatric nursing addresses their physical, psychological, medical, educational, and spiritual needs. The occupations of pediatric nurses also entail responsibilities for ensuring the care of children, from routine checkups and vaccinations to the management of severe illnesses, including complications and other serious conditions (Riggins, 2024). For instance, in pediatric nursing, AI can be used to recommend individualized care plans based on patient information, the likelihood of potential diseases, and preventive measures and interventions. A recent study by Demirbaş et al. (2024) shows that the use of AI in pediatric settings has helped enhance diagnostic capabilities and the overall performance of procedures performed on patients. This study complements the idea that integrating artificial intelligence improves the overall quality of care to be rendered to young patients.
I believe that AI technology is helpful in the healthcare sector, as it can help manage patient conditions and streamline numerous procedures. The use of AI analysis can help improve patient reinforcement and better time and resource allocation. As an advanced practice nurse, it will be important that I become familiar with emerging technologies to spearhead the transformation processes necessary for improving the health sector.
AI and data analytics have opened a new path in the healthcare system, which can revolutionize how patient experience is handled and how health institutions are run. In the article by Clarissa Riggins, the author uncovers that the use of AI technologies offers unique ways to achieve a multitude of goals that have been deemed pressing matters in the healthcare industry for years, such as transparent cost setting, customer-oriented financial backup, and effective revenue cycle management.
Demirbaş, K. C., Yıldız, M., Saygılı, S., Canpolat, N., & Kasapçopur, Ö. (2024). Artificial intelligence in pediatrics: Learning to walk together.PubMed, 59(2), 121–130. https://doi.org/10.5152/turkarchpediatr.2024.24002
Naik, N., Hameed, B. M. Z., Shetty, D. K., Swain, D., Shah, M., Paul, R., Aggarwal, K., Ibrahim, S., Patil, V., Smriti, K., Shetty, S., Rai, B. P., Chlosta, P., & Somani, B. K. (2022). Legal and ethical considerations in artificial intelligence in healthcare: Who takes responsibility? Frontiers in Surgery, 9(862322), 1–6. Frontiers. https://doi.org/10.3389/fsurg.2022.862322
Rahman, Md. A., Victoros, E., Ernest, J. T., Davis, Shanjana, Y., & Islam, Md. R. (2024). Impact of Artificial Intelligence (AI) Technology in the healthcare sector: A critical evaluation of both sides of the coin. Clinical Pathology, 17. https://doi.org/10.1177/2632010×241226887
Riggins, C. (2024, June 11). Driving a New and Improved Patient Experience with Data and AI | HIMSS. Www.himss.org. https://www.himss.org/resources/driving-new-and-improved-patient-experience-data-and-ai
