Introduction
Allmatics delivered a custom Healthtech AI assistant powered by Google Med-PaLM 2 to help private healthcare providers enhance decision-making, streamline patient data management, and optimize clinical workflows. This AI-driven solution was designed to integrate seamlessly into existing systems, providing doctors with accurate, real-time insights and flexible access across devices.
9
UK
Healthcare
PRD (Product Requirements Document)
Custom Healthtech AI Assistant
AI-powered medical platform and physician’s workspace (desktop & mobile)
Key Deliverables
- AI/ML Model Configuration
- API Infrastructure and Documentation
- Server Environment
- Web Application
- Mobile Application
Project Phases and Timeline
Completed in 2 weeks
Completed within 3 months
Completed in 2 weeks
Completed in 1 week
Business Challenge
Private healthcare providers face growing challenges in delivering personalized, high-quality care within tight operational constraints. Limited time, increasing patient loads, and vast medical knowledge requirements often leave doctors reliant on generic protocols, reducing the flexibility of their decisions.
The client, a private healthcare provider, needed a solution to address the following specific challenges:
- Clinical Decision-Making Support: Doctors required a tool to deliver accurate and context-specific insights to complement their expertise and adapt to individual patient needs.
- Information Management and Accessibility: Patient data was stored across multiple systems, complicating access during consultations and slowing down critical processes.
- Operational Efficiency: Time-consuming administrative tasks, such as manual documentation, reduced the time available for patient care.
- Safety: Protecting sensitive patient data was a top priority.
The goal was to deliver an intuitive, “ready-to-use” AI assistant that would support clinicians while improving operational efficiency without disrupting existing workflows.
Solution Development
The Allmatics team approached this project not as a simple integration of an existing AI model, but as the development of a comprehensive medical assistant platform designed to function as a doctor’s workspace.
Med-PaLM 2 is an advanced AI solution that achieved 86.5% accuracy on MedQA datasets. Designed to deliver expert-level responses to complex medical queries, it serves as a highly reliable tool for enhancing decision-making in clinical settings.
While Google’s Med-PaLM 2 served as the foundation, significant work was required to build a robust system around it, ensuring seamless integration and functionality tailored to real-world medical practices.
Key steps in the solution development included:
- Custom Input-Output System: A tailored framework was designed to manage data flow between the AI model, patient records, and the user interface. This ensured that doctors could input diverse data types—text, images, or voice—and receive structured, actionable insights in return.
- Medical Workflow Automation: Beyond providing recommendations, the system was equipped to support the entire workflow of patient management. This included capturing patient data, organizing it in a meaningful way, and facilitating smooth transitions between different stages of care, from initial diagnosis to follow-ups.
- Enhanced Decision Support: The assistant’s primary role was advisory, presenting relevant medical insights, identifying risks, and suggesting next steps. By expanding the doctor’s access to information, the system supported better, faster decision-making while adhering to medical ethics, ensuring that ultimate responsibility remained with the physician.
- Unified Doctor’s Workspace: The platform was designed to function across devices—desktop, tablet, and mobile—allowing doctors to work efficiently in any setting. It combined the capabilities of an AI assistant with robust administrative tools, transforming it into a holistic workspace for medical professionals.
- Patient Data Management: Integrated features allowed the assistant to pull, organize, and update patient records dynamically. This ensured that all necessary data was available at the point of care, reducing reliance on fragmented systems.
- Security: Built-in safeguards, including advanced encryption and secure APIs, ensured the protection of sensitive patient data while maintaining easy access for authorized users.
Impact on Business
The implementation of the Healthtech AI Assistant significantly enhanced the client’s clinical operations and decision-making processes. By integrating Med-PaLM 2 into a unified medical platform, Allmatics addressed critical inefficiencies and delivered measurable business benefits:
- Enhanced Decision-Making: Provided accurate, real-time insights to support doctors’ expertise.
- Streamlined Workflows: Reduced administrative tasks, increasing medical personnel productivity.
- Improved Patient Experience: Enabled more personalized and informed consultations.
- Operational Flexibility: Cross-device compatibility optimized workflows in any setting.
- Data Security: Robust encryption and secure data management practices safeguarded sensitive information, supporting reliable and efficient operations.
Conclusion
The Healthtech AI Assistant is a practical example of how advanced AI technologies can address real challenges in healthcare. By integrating Med-PaLM 2 into a custom-built platform, the client streamlined workflows, enhanced clinical processes, and provided doctors with a tool for precise and context-driven insights. Allmatics delivered a secure and scalable solution that supports ethical medical practices and improves care quality.