HealthBridge AI
Của HealthBridge AIJarvisMD by HealthBridge AI is an AI-powered clinical co-pilot that transcribes doctor–patient consultations into structured notes and generates evidence-informed clinical suggestions—reducing admin time by up to 70% and empowering healthcare professionals to focus more on patient care.
- Giai đoạn
- Đang thí điểm
- Ngành
- Y tế
- Triển khai
- Đám mây (SaaS)
Giá trị mang lại
JarvisMD stands out by combining real-time AI transcription, context-aware clinical summarisation, and evidence-informed decision support—all in a single, lightweight tool designed specifically for outpatient and primary care workflows. Unlike generic dictation or documentation tools, JarvisMD is fine-tuned on real clinical conversations and tailored to support doctors with structured outputs, referral letters, and broad guideline-based suggestions—without disrupting their clinical judgment or workflow. Clinician feedback loops continuously improve model relevance, while partnerships with global health systems and cloud compliance ensure scalability, security, and trust. This combination of domain-specific AI, clinical usability, and privacy-first design gives JarvisMD a strong competitive edge in real-world healthcare environments.
- Automates transcription and documentation, reducing admin time by up to 70%
- Standardises clinical notes to improve accuracy, consistency, and compliance
- Provides real-time, evidence-informed suggestions to support better clinical decisions
- Helps reduce clinician burnout and improve retention by minimising administrative burden
- Instantly generates referral letters, accelerating follow-up and continuity of care
- Offers a scalable, secure, and compliant AI solution that integrates easily into existing clinical workflows
Đang mở deck…
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Khách hàng phù hợp nhất
- Ideal Customer Profiles:
- 1. Primary Care Clinics & General Practices
- Size: Solo practitioners to mid-sized multi-physician clinics
- Need: Minimise admin burden, improve consultation efficiency, and streamline referral workflows.
- Use Case: Real-time transcription and generation of structured notes, summaries, and referral letters.
- 2. Specialist Outpatient Clinics
- Examples: Internal medicine, endocrinology, dermatology, geriatrics
- Need: Accurate documentation, specialty-specific clinical prompts, and faster turnaround for patient summaries.
- Use Case: Enhanced diagnostic reasoning and structured documentation with specialty-aware language models.
- 3. Group Medical Networks / Health Systems
- Size: 20–200+ providers across multiple locations
- Need: Scalable solution to support documentation standardisation, reduce clinician burnout, and improve workflow efficiency system-wide.
- Use Case: Organisation-wide deployment with consistent output, aggregated analytics, and clinician performance insights.
- 4. Telemedicine Providers
- Need: Real-time transcription and summarisation of virtual consults, especially where notes must be quickly sent to referring doctors or patients.
- Use Case: AI-generated summaries and referral letters integrated into virtual consult flows.
- 5. Academic & Training Institutions
- Need: Support medical students and residents in learning documentation skills and clinical reasoning with AI-assisted feedback.
- Use Case: Clinical learning augmentation through structured, AI-enhanced notes and prompt suggestions.
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- Common Attributes of Ideal Customers:
- a. High patient volume with recurring consultation patterns
- b. Interest in workflow automation and clinical AI adoption
- c. Prioritisation of data privacy, compliance, and interoperability
- d. Open to digital tools that reduce admin load and improve care consistency
Khách hàng tiêu biểu đang trả phí
- Still in the negotiation stages with several private hospitals and private medical clinics
Key Milestones & Traction 1. Accelerators & Funding Accepted into multiple top health and AI accelerator programs in Singapore, Hong Kong and Europe. Secured pre-seed funding from a U.S.-based Healthtech VC 22Health Ventures, follow-on funding through a Hong Kong government-backed incubator, and support from global innovation platforms including Microsoft and National University of Singapore and Block71. 2. Pilot Deployments Upcoming pilots with major private hospitals and private healthcare groups in Singapore, Malaysia, Thailand and Cambodia. 3. Product Development & Data Collaborations Collaborations with clinics in Australia contributing proprietary datasets for training and improvement. 4. Enterprise Partnerships Partnered with IBM's AI development and global distribution teams to enhance platform reach and scalability. Engaged global EHR providers to explore integration and co-distribution pathways. 5. Strategic Integrations & Discussions Signed NDAs and initiated PoCs with private hospitals in Southeast Asia, including one of the region's largest tertiary care providers. In advanced talks with a telehealth platform operating across 600+ clinics in Singapore to integrate JarvisMD. Exploring integrations with two of the leading EHR systems used across the NHS in the UK through partnerships with healthtech vendors.