Ping An Health Launches "Ping An Xin Yi" AI Doctor Assistant Service to Enhance Accessibility and Satisfaction in Medical Services
Ping An Health (PIAHY) has launched 'Ping An Xin Yi,' an AI-powered digital doctor service providing 24/7 health consultations through its Health APP. The service features digital avatars of real doctors powered by an advanced AI language model, offering consultations, care navigation, and report interpretation.
The system boasts impressive metrics with a triage accuracy rate exceeding 99% and an assisted diagnosis accuracy rate of over 95%. Initially covering general practice and three specialties, it plans to expand to eight departments including gynecology, internal medicine, and pediatrics.
The AI assistants are built on a three-tiered data structure, combining knowledge graphs with individual clinical practices. The system utilizes five major medical databases covering 37,000 diseases and 420,000 disease-related terms. The implementation has reportedly improved family doctor service efficiency by 30%.
Ping An Health (PIAHY) ha lanciato 'Ping An Xin Yi', un servizio di medico digitale alimentato da intelligenza artificiale che offre consultazioni sanitarie 24 ore su 24, 7 giorni su 7 attraverso la sua app per la salute. Il servizio presenta avatar digitali di veri medici supportati da un avanzato modello linguistico AI, offrendo consultazioni, navigazione nelle cure e interpretazione dei referti.
Il sistema vanta metriche impressionanti con un tasso di accuratezza del triage superiore al 99% e un tasso di accuratezza nella diagnosi assistita di oltre 95%. Inizialmente coprendo la medicina generale e tre specialità, prevede di espandersi a otto reparti, inclusi ginecologia, medicina interna e pediatria.
Gli assistenti AI sono costruiti su una struttura dati a tre livelli, combinando grafi di conoscenza con pratiche cliniche individuali. Il sistema utilizza cinque importanti banche dati mediche che coprono 37.000 malattie e 420.000 termini correlati alle malattie. L'implementazione ha riportato un miglioramento dell'efficienza del servizio di medico di famiglia del 30%.
Ping An Health (PIAHY) ha lanzado 'Ping An Xin Yi', un servicio de médico digital impulsado por inteligencia artificial que proporciona consultas de salud 24/7 a través de su aplicación de salud. El servicio presenta avatares digitales de médicos reales impulsados por un avanzado modelo de lenguaje AI, ofreciendo consultas, navegación de cuidados e interpretación de informes.
El sistema cuenta con métricas impresionantes, con una tasa de precisión en el triaje que supera el 99% y una tasa de precisión en el diagnóstico asistido de más del 95%. Inicialmente abarcando medicina general y tres especialidades, planea expandirse a ocho departamentos, incluyendo ginecología, medicina interna y pediatría.
Los asistentes de IA están construidos sobre una estructura de datos de tres niveles, combinando grafos de conocimiento con prácticas clínicas individuales. El sistema utiliza cinco bases de datos médicas importantes que cubren 37.000 enfermedades y 420.000 términos relacionados con enfermedades. La implementación ha mejorado la eficiencia del servicio de médico de familia en un 30%.
핑안 헬스 (PIAHY)는 '핑안 신이'라는 AI 기반의 디지털 의사 서비스를 출시하여 건강 상담을 24시간 제공하는 헬스 앱을 통해 서비스를 제공합니다. 이 서비스는 고급 AI 언어 모델에 의해 지원되는 실제 의사의 디지털 아바타를 특징으로 하며, 상담, 치료 경로 안내 및 보고서 해석을 제공합니다.
이 시스템은 99%를 초과하는 분류 정확도와 95% 이상의 보조 진단 정확도를 자랑합니다. 처음에는 일반 진료와 세 가지 전문 분야를 다루며, 향후 산부인과, 내과 및 소아과를 포함하여 여덟 개 부서로 확장할 계획입니다.
AI 어시스턴트는 지식 그래프와 개별 임상 관행을 결합한 3단계 데이터 구조로 구축되었습니다. 이 시스템은 37,000개의 질병과 420,000개의 질병 관련 용어를 포함하는 다섯 개의 주요 의료 데이터베이스를 활용합니다. 이 구현은 가족 의사 서비스 효율성을 30% 향상시킨 것으로 보고되었습니다.
Ping An Health (PIAHY) a lancé 'Ping An Xin Yi', un service de médecin numérique alimenté par l'intelligence artificielle qui propose des consultations de santé 24/7 via son application de santé. Le service présente des avatars numériques de médecins réels soutenus par un modèle linguistique AI avancé, offrant des consultations, une navigation dans les soins et une interprétation des rapports.
Le système affiche des métriques impressionnantes avec un taux de précision du triage supérieur à 99% et un taux de précision du diagnostic assisté de plus de 95%. Initialement couvrant la médecine générale et trois spécialités, il prévoit de s'étendre à huit départements, y compris la gynécologie, la médecine interne et la pédiatrie.
Les assistants AI sont construits sur une structure de données à trois niveaux, combinant des graphes de connaissances avec des pratiques cliniques individuelles. Le système utilise cinq grandes bases de données médicales couvrant 37.000 maladies et 420.000 termes liés aux maladies. La mise en œuvre a rapporté une amélioration de l'efficacité du service de médecin de famille de 30%.
Ping An Health (PIAHY) hat 'Ping An Xin Yi' gestartet, einen KI-gestützten digitalen Arztservice, der rund um die Uhr Gesundheitsberatungen über seine Gesundheits-App anbietet. Der Service bietet digitale Avatare echter Ärzte, die von einem fortschrittlichen KI-Sprachmodell unterstützt werden, und bietet Beratungen, Pflege-Navigation und Bericht-Interpretation.
Das System kann mit beeindruckenden Kennzahlen aufwarten, darunter eine Triagierungsgenauigkeit von über 99% und eine Genauigkeit bei unterstützten Diagnosen von über 95%. Zunächst umfasst es die Allgemeinmedizin und drei Fachgebiete und plant, auf acht Abteilungen zu erweitern, darunter Gynäkologie, Innere Medizin und Pädiatrie.
Die KI-Assistenten basieren auf einer dreistufigen Datenstruktur, die Wissensgraphen mit individuellen klinischen Praktiken kombiniert. Das System nutzt fünf wichtige medizinische Datenbanken, die 37.000 Krankheiten und 420.000 krankheitsbezogene Begriffe abdecken. Die Implementierung hat die Effizienz des Hausarztservices um 30% verbessert.
- 99% triage accuracy rate and 95% diagnosis accuracy
- 30% improvement in family doctor service efficiency
- Extensive coverage of 37,000 diseases and 420,000 medical terms
- 24/7 availability reducing operational costs
- initial specialty coverage (only 4 departments)
- Heavy dependence on AI technology adoption by users
- Potential implementation and scaling challenges across departments
Technology: Enhancing Healthcare Access and Patient Experience
It is important to promote "Internet + Healthcare" to reduce burdens on citizens, streamline processes through data utilization, and continuously improve the equity, accessibility, and convenience of public services. The rapid advancement in artificial intelligence and digital technologies are accelerating the integration of AI applications into healthcare, making them increasingly accessible to individuals and families. To address the challenges of strained medical resources and rising patient demand, it is crucial to simplify complex procedures, improve information flow, and optimize the allocation of healthcare personnel. These efforts are essential for enhancing the patient experience and driving the evolution of a more responsive and efficient healthcare ecosystem.
Ping An Health leverages cutting-edge technology to empower doctors and enhance healthcare services. With over a decade of experience, Ping An Health has consistently demonstrated a keen awareness of emerging technologies, continuously developing, exploring, and refining its medical AI technology and applications. Through ongoing technological innovation, the company empowers doctors with knowledge and efficiency, facilitating the delivery of enhanced medical services. Ping An Health's self-developed AI-assisted diagnosis and treatment system boasts a triage accuracy rate exceeding
The newly launched "Ping An Xin Yi" digital service initially covers general practice and three major specialties, with plans to expand to eight departments, including gynecology, internal medicine, pediatrics, surgery, andrology, traditional Chinese medicine, dermatology, and general medicine. Users can easily access the service by searching for "Renowned Doctor AI Medical Assistant" within the Ping An Health App or by entering the Renowned Doctor Expert Zone via the Ping An Health App or Mini Program homepage. This allows users to receive professional medical and health advice in real-time, from the comfort of their homes and without the need for appointments. Interacting with the digital avatars, which replicate the image and voice of real medical experts, users can communicate through text, voice, or video, experiencing a convenient, time-saving, and cost-effective service.
Expertise Meets AI: A New Era of Intelligent Healthcare
"Human energy is finite, but the collaboratively built intelligent agent – the Renowned Doctor AI Medical Assistant – can provide convenient, free, and warm medical knowledge and consultation services. This is incredibly valuable," said a participating physician. Driven by this vision, doctors and specialists are collaborating with Ping An Health to co-create and train AI avatars. Built upon a three-tiered data structure, these avatars combine vast knowledge graphs with the individual clinical practices of doctors, continuously improving service accuracy through simulated doctor-patient interactions. Currently, Ping An Health's "Ping An Xin Yi" features AI avatars of leading specialists in proctology, hepatobiliary surgery, and obstetrics and gynecology, including Dr. Wang Ling, a 2024 "Golden Bian Que" Top 100 TCM Practitioner, and Dr. Wang Chengyou, a leading hepatobiliary surgeon in
Taking Dr. Wang Ling's AI avatar as an example, the "Dr. Wang Ling's AI Assistant" is built upon a foundation of a large language model and digital human technology, with a three-layered data training structure. The first layer is a specialized knowledge base, drawing from Ping An Health's five major medical databases, which encompass diseases, prescriptions, medical products, medical resources, and personal health, covering 37,000 diseases and 420,000 disease-related terms. This includes a wealth of literature, clinical guidelines, and accumulated professional knowledge. The second layer is the doctor's personal knowledge base, sourced from Dr. Wang Ling's own materials, including social media content, filmed materials, and published literature. The third layer involves personalized fine-tuning by Dr. Wang Ling, including manual annotation and review of online responses, as well as training with the doctor's video content. Following comprehensive training, the "Dr. Wang Ling's AI Assistant" can engage in real-time interactions with users. Furthermore, when needed, it can facilitate connections to Dr. Wang Ling for online or offline consultations and medical services.
"Currently, leveraging the large multi-modal medical AI model Ping An Medical Master and the doctor's workbench Ping An Doctor's Home, we have developed 12 series of business model groups, enabling AI to empower the entire business process and improve the efficiency of family doctor services by
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SOURCE Ping An Healthcare and Technology Company Limited
FAQ
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