Clarence Liao, M.D., Founder and CEO of Dr.AI, demonstrates the smart ring.

A Taiwan-based AI medical platform has demonstrated significant advances in automated clinical documentation, with early implementations showing over 50% reduction in physician paperwork burden across inpatient and outpatient settings. The Dr.AI platform was on show at the recent Medical Taiwan 2025 trade show. Middle East Health visited the expo and spoke to Jack Huang, CMO of Dr.AI.

Dr.AI, developed by IntoWell Biomedical Technology, integrates speech-to-text transcription with medical reasoning algorithms to automatically generate structured clinical notes, admission orders, and treatment plans. The platform operates across 38 languages and covers 12 medical specialties, positioning it for international healthcare deployment.


Real-time transcription transforms clinical workflows The platform’s core functionality centres on its SOAP QuickNote feature, which captures doctor-patient conversations in real-time and converts them into standardised medical records. “Dr.AI’s built-in SOAP QuickNote feature uses speech-to-text technology to transcribe real-time conversations and instantly generate structured SOAP medical records,” explained Jack Huang, CMO of Dr.AI.

Clinical trials have shown the system reduces documentation workload by more than 50% whilst maintaining accuracy and consistency in patient records. The technology automatically filters irrelevant conversation elements and structures medical information according to the Subjective, Objective, Assessment, and Plan (SOAP) format widely used in clinical practice.

The platform extends beyond simple transcription, incorporating diagnostic reasoning capabilities. Healthcare professionals can input patient complaints, medical history, examination findings, or laboratory results directly into dialogue boxes, with the system generating comprehensive admission notes and treatment recommendations.


Multi-departmental integration shows promise Dr.AI’s implementation spans four key healthcare areas: inpatient care, outpatient clinics, health examination centres, and healthcare agent systems. For inpatient settings, the platform automatically generates admission notes, progress notes, pharmacotherapy recommendations, and cancer treatment strategies based on patient data and clinical guidelines.

In outpatient environments, the Medical Pre-Assessment (MedPA) feature allows patients to interact with AI avatars during check-in, describing symptoms that are automatically transcribed and transmitted to physicians’ workstations before consultations begin. “This gives the doctor an overview of the patient’s condition before the consultation, significantly saving communication time,” noted Huang.

The system’s multilingual capabilities enable automatic conversion of foreign-language consultations into English medical records and vice versa, addressing communication barriers in diverse healthcare settings.


Wearable technology expands monitoring capabilities Beyond clinical settings, IntoWell has launched the Dr.AI Smart Ring, a wearable device that provides continuous health monitoring integrated with AI-driven consultations. The device tracks heart rate, heart rate variability, breathing patterns, body temperature, and sleep metrics.

Users can engage with virtual AI physicians through the accompanying mobile application, receiving spoken health insights and video consultations based on real-time physiological data. The system generates daily health reports and provides personalised medical guidance without requiring users to interpret complex health data independently.

The ring operates on a subscription model, with users receiving the device and ongoing software support for a yearly fee.


International expansion and integration progress Dr.AI has secured adoption across major hospitals, primary care clinics, and health examination centres throughout Taiwan, with integration partnerships established with the country’s three leading Hospital Information System (HIS) vendors. International expansion is progressing in Japan, Korea, and Singapore.

The platform’s edge computing capabilities enable both cloud-based and local AI inference, allowing healthcare facilities to maintain data security whilst benefiting from advanced AI analysis. This hybrid approach addresses varying institutional requirements for data handling and computational resources.

According to Huang, “Our mission is to build an AI medical platform that truly aligns with clinical needs. Dr.AI is designed to reduce the burden on healthcare professionals, support cross-border care, and elevate the global standard of medical service delivery.”

The platform represents a convergence of natural language processing, medical knowledge systems, and healthcare workflow optimisation, addressing persistent challenges in clinical documentation efficiency whilst maintaining medical accuracy standards.

 

• Free Trial for HCPs: https://professionals.draiai.com/login
• Apply for B2B Demo: https://www.draiai.com/trial-request

Middle East HEALTH Link: https://reurl.cc/koygDn