Transcription services are being explored for use in telehealth settings, with a focus on producing accurate clinical summaries that can help support patient care. The technology has made significant progress but still faces challenges such as variability in transcription quality and the need for human review to ensure accuracy. Despite these limitations, advancements in artificial intelligence and machine learning are expected to improve the efficiency and effectiveness of automated clinical summaries. As a result, telehealth providers may increasingly rely on these tools to streamline their operations and enhance patient outcomes.