In just two short years, ChatGPT has demonstrated an impressive leap in healthcare simulation. Recently, I put it to the test with a complex patient scenario in a general practice setting. With minimal information, ChatGPT delivered a succinct, sub-headed management plan that was absolutely spot on.
While I anticipate resistance from the UK medical community against such advances, particularly given the potential shift in power dynamics, this progress cannot be ignored.
The Rise of AI in Personal Health Management #AIHealthAssistant #MedicalRecordsAI
Millions of people around the world are likely to embrace AI for personal health management. Imagine a scenario where individuals can securely upload their medical records into ChatGPT to seek advice on current health conditions or to validate a doctor's suggested treatment plan. This technology could put the wisdom of millions of similar cases, instantly accessible, right at our fingertips.
The Role of Technology in Disrupting Healthcare #QuantumComputing #HealthcareDisruption.
Consider the broader landscape: Google has already developed Quantum Computing 2.0, and NVIDIA is advancing super-chips. Energy is becoming cheaper, and smartphones are more powerful than ever. The tools are aligning for a seismic shift in how healthcare is delivered.
Given that it takes around a decade to train as a General Practitioner (GP), we need to ask ourselves: is this traditional model sustainable or even relevant in the near future? Many medical decisions are, in essence, an algorithm underpinned by probability matrices—an area where AI excels.
Revisiting the Foundations of Medicine #MedicalAI #DataDrivenHealthcare
Medicine is not isolated from the broader scientific world. Biology is built on chemistry, which in turn is built on physics, which ultimately rests on mathematics. Yet, traditional healthcare has often hesitated to acknowledge these connections, sometimes driven by a sense of ego or the desire to protect professional boundaries.
Patients are not simple economic equations but rather intricate models of behavioural economics. These models can be simulated, analysed, and optimised with AI, creating a unique opportunity for better care.
AI: A Cost-Effective Revolution in Health Diagnosis #HealthcareCosts #AIHealthSavings
The potential savings are enormous. By reducing the reliance on high medical salaries and leveraging AI for round-the-clock health monitoring and diagnostics, we could redirect those funds towards more comprehensive testing, thus reducing the uncertainties within probability models. Wider, proactive testing could help simplify complex cases, enhance early detection and yield treatment precision.
My #Osteopathy & #Acupuncture practice at TownOsteo.com, Leicester, is already incorporating A.I. for a better patient journey. A.I. helps explain patients #sciatica & #back #pain #treatment, and helps with our own education.
The Path Forward: Embracing Change in Healthcare #FutureMedicine #AIandHealthcare
The future is incredibly exciting if we can overcome the barriers of fear and resistance to change. Instead of viewing this evolution as a threat, we should see it as an opportunity to create a more affordable, faster, efficient, accessible, and precise healthcare system.
Let’s work together, embrace this transformation, and build a healthcare model that’s fit for purpose in the 21st century.
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