Using AI technology to create virtual employees
AI Agents: Revolutionising Healthcare
E-creation is at the forefront of AI technology and AI agents, developing groundbreaking AI solutions for businesses. One particularly promising application is in healthcare the healthcare sector, where AI agents will transform patient care.
We’re currently collaborating with a medical group to create a new generation of virtual doctors. Powered by advanced AI (going beyond technologies like ChatGPT), these virtual doctors ‘behave’ and interact with patients in ways that are indistinguishable from humans, whilst continually learning from vast volumes of data generated through academic research combined with real doctor patient interactions with. The unique styles, personalities & individual thinking methodologies exhibited by human doctors is shared between AI doctor profiles, allowing the sum of the AI knowledge exceed that of individual doctors.
By continually processing internal unique interactions with the broader landscape of ongoing medical knowledge, the AI agents develop deeper understandings of medicine to create personalised diagnostic tools that are unique to the medical group. Where patients are able to ‘rate’ doctors online, providing the public with feedback on how good a doctor is, the quality of healthcare offer by an AI agent doctor is a key business performance differentiator.
Key benefits of our AI-powered virtual doctors (and AI agents in other professions):
- Enhanced Diagnostic Capabilities: By combining massive medical datasets with real individual doctor’s expertise, our AI agents can offer more accurate and comprehensive diagnoses. This applies to any form of AI agent, where the same modelling of data can be applied to the legal profession.
- Continuous Learning: Our AI doctors learn and improve every minute of every day, ensuring that patient care benefits from the latest advancements in medical practices – most often before a human doctor busy treating patients can learn about. Again, continuous, targeted learning applies across a wide spectrum of professions.
- Personalised Care: Virtual doctors can offer tailored interactions, understanding the entirety of each patient’s individual preferences & patient’s history (something a doctor may not have time to review with each new appointment)
- Efficient Communication: Patients can interact with virtual doctors through various channels, including apps, websites, SMS and AI generated voice interactions over the phone or even ‘video calls’ with realtime generated doctors. Availability of image recognition allows for the automation of transmission, processing & diagnosis of physical symptoms, continually improving image recognition for physical symptoms.
- Data-Driven Insights: Our AI agents can analyse patient data to identify trends and patterns, providing valuable insights for healthcare professionals.
AI Doctor Interactive Demonstration
The most powerful demonstration of AI agents is to experience them in action. Here we have provided highly simplified demonstration of our AI doctor technology in action (without sophisticated realtime data improvement).
Please note, this is not an active medical advice / professional diagnosis tool. It is a technology demonstration, uses cookies to save data, so DO NOT USE REAL PERSONAL DATA!
Simplified Demo Patient Notes
The advanced AI Agent software integrates into actual patient notes providing detailed history information automatically to the AI or acting as a virtual nurse practitioner to capture patient information.
Welcome! Please tell me your name & how I may help you today?
… or please start your consultation by typing directly here with the AI Virtual Doctor
Is real world deployment of virtual agents into mission critical professions a realistic ambition?
Although currently in development for the private healthcare industry, AI doctor agents are powerful enough to completely revolutionise the entire medical industry, reducing healthcare costs for governments whilst continually improving patient outcomes.
However, adoption of AI technology for medical diagnostics purposes may face resistance from the public, as seen with AI self-driving technology, where in-spite of statical superiority against human accident rates, the public is reluctant to embrace AI powered self-driving technology.
A staged approach to AI delivery of healthcare can start with the delivery of more effective triage services at the first point of contact before human doctor intervention through to behind the scenes ‘softer’ medical assessment augmentation (similar to augmented reality in use by surgeons today in the most advanced operating rooms) to help doctors do their job more efficiently.
By leveraging AI agents & AI technology, we are revolutionising healthcare and providing patients with access to more efficient & effective personalised healthcare that can understand the human better than a human can itself.