In the field of AI regulation, it is commonly recommended that lawmakers consider adopting new sets of safety requirements to test products prior to their release. This approach involves establishing limits on the capabilities and actions of deployed models. The healthcare sector, despite its enthusiasm for AI modelling, should exercise caution and pay attention to these recommendations when developing and implementing AI solutions.
Here are examples of how ChatGPT can be effectively utilized in healthcare:
Automation of Patient Inquiries
Patients can directly communicate with physicians to seek feedback or ask questions about their care. However, this can lead to an overwhelming influx of messages for physicians, making it challenging for them to respond promptly. Deploying ChatGPT as a chatbot can automate physicians’ replies to patient queries, improving response time and overall patient experience. In evaluations, chatbot responses were favoured over those from physicians, receiving higher ratings for quality and empathy. Automating responses can significantly enhance physician satisfaction, addressing concerns related to clinician burnout.
Enhanced Self-Service Data Insights
By integrating OpenAI’s GPT-4 AI language into tools like Epic Systems’ SlicerDicer, healthcare professionals gain access to advanced natural language queries and data analysis. This allows physicians and operational leaders to discover trends in the Electronic Medical Record (EMR) dataset, benefiting patient care and identifying opportunities for revenue cycle improvement. For instance, physicians can extract data insights about specific patient groups based on medications to evaluate their well-being. Financial leaders can examine expected reimbursements and profit margins, enabling the revenue cycle team to investigate potential underpayments from insurance providers.
ChatGPT’s real-time translation feature revolutionizes medical interpretation in healthcare. Leveraging sophisticated language processing capabilities, it swiftly and accurately translates complex medical terminology and jargon. This ensures a comprehensive understanding of diagnoses, treatment alternatives, and medical instructions for patients in their native language.
Healthcare AI Regulations
The use of AI in US healthcare lacks comprehensive regulation, necessitating adherence to pertinent laws and regulations when utilizing ChatGPT. The healthcare sector already operates under stringent regulations worldwide, encompassing licensing requirements for doctors, equipment standards, and rigorous clinical trials for new drugs. Adapting standards from the EC’s proposal, an independent notified body can verify that AI products meet general requirements, including defining their purpose, ensuring accuracy, and confirming reliable and representative training data usage.
Action Plan to Solve Biasness in Data
Training ChatGPT on large amounts of data may introduce biases that can adversely impact patient care. It is essential to ensure that the data used for model training is diverse and representative of the population it serves. This helps minimize biased predictions and ensures equitable and unbiased healthcare outcomes.
Data Privacy and Security
Incorporating ChatGPT into healthcare raises concerns about potential data breaches and unauthorized access to sensitive patient information. Current guidelines such as HIPAA do not explicitly cover AI and emerging scenarios. Regulatory agencies need to keep pace with the evolving AI landscape to establish appropriate safeguards and regulations to protect patient data privacy and ensure the secure usage of AI technologies.