Revolutionizing Healthcare with VoiceEMR and PuzzleAI

The advancement of artificial intelligence (AI)-based voice recognition technology is significantly impacting the application of Electronic Medical Records (EMR). This technology can automatically record voice data, which is becoming increasingly crucial in medical settings.

By integrating voice recognition into EMR systems, healthcare workers can reduce recording omissions that may lead to medical errors. Consequently, medical professionals can allocate more time to patient care rather than administrative duties. This enhancement ensures better healthcare delivery.

VoiceEMR: Transforming Medical Documentation

At the K-HOSPITAL FAIR 2021 held in Samsung-dong, Seoul, PuzzleAI unveiled its collaborative development with the Korea University Anam Hospital: the VoiceEMR solution. According to researcher An Gi-Jun, “Many healthcare professionals often mix English and Korean. Our Speech-to-Text (STT) engine accurately recognizes spoken words in both languages, even when specialized terms are used.”

The VoiceEMR solution excels in challenging environments, such as noisy emergency rooms. It employs a Denoise filter to eliminate background sounds and Speaker Separation technology to distinguish multiple speakers, enhancing voice recognition accuracy.

Currently, hospitals like Korea University Anam Hospital, Cha Hospital, and St. Mary’s Hospital have implemented this solution, and its adoption is increasing across the healthcare sector.

Enhancing Emergency Response with AI

The use of voice recognition technology extends beyond hospital walls. Ambulance crews can document patients’ conditions while transporting them. This technology ensures that vital information is sent to receiving hospitals, aiding in timely medical intervention.

During the exhibition, a demonstration showcased an AI-powered ambulance. The presenter illustrated how an ambulance crew might relay, “This is a 58-year-old female patient experiencing chest pain and cold sweats.” Voice recognition technology automatically inputs this information into a kiosk, which is then transmitted to the destination hospital.

The AI ambulance offers real-time insights, enabling rapid identification of suitable receiving hospitals. This feature minimizes time wasted if no beds are available upon arrival. Additionally, it uses real-time traffic information to determine the optimal route, significantly reducing patient transport time.

By the time the emergency vehicle arrives, the medical staff will be prepared thanks to the transmitted information. This capability is crucial in maximizing “golden hour” treatment time, enhancing overall patient outcomes.

The government plans to utilize 2021 as the third year of the AI ambulance project for refinement and pilot operations. Following successful local government implementations, nationwide deployment is anticipated by 2023.