How AI transcription integrated with telehealth tools improves quality of care

AI News


There has been much discussion about how to use artificial intelligence in telehealth, while balancing efficiency with the need for patient security and privacy.

Howard Hu, CEO of Whereby, The developer of video conferencing APIs for telehealth platforms knows a lot about this space: His company is implementing AI to enable real-time transcription of patient sessions, allowing doctors to better engage with patients without having to worry about taking notes.

The goal is not just to improve the accuracy of records but to ensure that important details are recorded. Whereby has more than 800 customers, Hu said.

Interview with Mr. Hu We will discuss how AI can help with real-time transcription of patient sessions, how AI transcription has the ability to analyze and summarize key consultation points, how AI transcription provides the ability to detect patterns in patient data to provide personalized care, and how AI transcription can help provider organizations better understand the latest data and usage patterns around telehealth.

Q. How does AI help with real-time transcription of patient sessions and what are the benefits?

A. AI is revolutionizing real-time transcription in telehealth by making recording easy and accurate. Imagine every word of a doctor-patient conversation being instantly recorded without manual note-taking. This means healthcare professionals can give their full attention to the patient without having to worry about taking notes.

The benefits of AI-driven transcription are huge. First, it records everything that was said during the session, reducing medical record errors and ensuring that important details aren't missed. Second, it speeds up the process: doctors can review and finalize their notes immediately after the session, streamlining the entire process and providing patients with the necessary follow-up sooner.

And let's not forget how this benefits patient care. Detailed and accurate records at the ready mean doctors can make better and faster decisions. Patients can receive the attention they deserve from their healthcare providers. This can all be done right now, and this is just the beginning. Potential benefits of AI transcription.

Q. You say that AI transcription has the ability to analyze and summarize key consultation points to streamline clinician review and assist with treatment planning. Can you elaborate?

A. The next step in AI transcription is to use AI to summarize key points from raw transcripts. AI can take the most important information from a session and create a clear, concise summary. This means doctors can save a lot of time by quickly reviewing highlights without having to sift through detailed raw notes.

These AI-generated summaries make treatment planning much easier. Doctors can see trends and important details at a glance, allowing them to make better decisions and tailor treatment plans to each patient's needs. They also help doctors stay on top of things between multiple visits with the same patient, spotting important trends over time that they might otherwise miss.

plus, AI-powered summaries help keep everyone on the healthcare team up to date. When different team members need to review a patient's history, they can quickly view these summaries. This makes the entire process more efficient and ensures patients receive consistent, high-quality care from all involved.

Q. You say AI transcription also offers the ability to detect patterns in patient data to provide personalized, effective care. How does this work?

A. AI transcription does more than capture and summarize conversations. It also helps find patterns in patient data to provide personalized care. By analyzing multiple sessions, AI can pick up recurring themes and issues that may not be immediately obvious. This can help doctors better understand patient health trends over time and gain deeper insights for better diagnosis and treatment.

For example, if a patient frequently mentions symptoms that may suggest a particular condition, AI can flag these repeated mentions to doctors. This way, potential health issues can be spotted early and treatment plans can be adjusted accordingly. It's like adding a pair of advanced analytical eyes to a patient's medical history to ensure nothing important is missed.

This ability to detect patterns also means more personalized care for patients: By understanding each person's unique medical history and health trends, doctors can create treatment plans tailored specifically to their needs.

AI can help ensure that care is proactive rather than simply reactive — addressing potential issues before they become problems and tailoring treatment to each patient's specific circumstances. This leads to better outcomes and a more personalized healthcare experience for everyone. This is very exciting.

Q. How can AI transcription help provider organizations better understand current data and usage patterns around telehealth?

A. By analyzing recordings of different patient sessions, AI can surface common themes and trends while remaining fully compliant with privacy requirements. This allows healthcare providers to understand what issues are frequently discussed and how frequently certain symptoms or treatments occur. It's like having a detailed real-time report of what's happening across all your virtual visits.

These insights are invaluable as they allow healthcare providers to spot trends and make data-driven decisions. For example, if there is a spike in patients reporting mental health issues, organizations can respond by providing more resources and training to healthcare providers in that area. They can then adjust their strategies and improve services based on actual usage patterns and patient needs.

Additionally, AI transcription can help shed light on how telehealth services are being used over time. Are patients using telehealth for follow-ups rather than initial consultations? Are patients discussing preventive care or looking for specific treatments? Do telehealth visits more often refer to in-person follow-ups?

Understanding these patterns will enable organizations to optimize schedules, allocate resources more efficiently, and even predict future trends – resulting in improved planning and an overall more effective telehealth program.

Follow Bill's HIT articles on LinkedIn: Bill Siwicki
Email: bsiwicki@himss.org
Healthcare IT News is a publication from HIMSS Media.



Source link

Leave a Reply

Your email address will not be published. Required fields are marked *