In modern healthcare, the integration of artificial intelligence (AI) has revolutionized clinical practices, particularly in data management and patient visit summary creation. Manual creation of patient summary is repetitive, time-consuming, prone to errors, and increases clinicians' workload. AI, through voice recognition and Natural Language Processing (NLP), can automate this task more accurately and efficiently. Erectile dysfunction (ED) clinics, which deal with specific pattern of conditions together with an involvement of broader systemic issues, can greatly benefit from AI-driven patient summary. This scoping review examined the evidence on AI-generated patient summary and evaluated their implementation in ED clinics.
A total of 381 articles were initially identified, 11 studies were included for the analysis. These studies showcased various methodologies, such as AI-assisted clinical notes and NLP algorithms. Most studies have demonstrated the ability of AI to be used in real life clinical scenarios. Major electronic health record platforms are also integrating AI to their system. However, to date, no studies have specifically addressed AI for patient summary creation in ED clinics.
AI has shown significant promise in creating accurate and efficient patient visit summary, with potential applications in ED clinics. However, the current literature lacks specific studies on this application. Future research should focus on developing AI tools tailored to ED clinics, ensuring they meet accuracy, privacy and usability standards. Supervision by clinicians remains crucial to address medico-legal concerns and ensure patient safety.
Current urology reports. 2024 Nov 18*** epublish ***
Supanut Lumbiganon, Elia Abou Chawareb, Muhammed A Moukhtar Hammad, Babak Azad, Dillan Shah, Faysal A Yafi
Department of Urology, University of California, Irvine, CA, USA., Department of Urology, University of California, Irvine, CA, USA. .