Custom GPTs for Healthcare & How to Implement Them into Your Practice

Custom GPTs/chatbots are making waves in various industries, including healthcare. 

These advanced AI models can handle tasks that range from generating text to answering questions.

It understands medical terminology, answers health-related questions, and provides information about specific medications and treatments.

Making AI invaluable for modern practices. 

In this blog, we'll explore what Custom GPTs are, their benefits in healthcare, and how you can integrate them into your practice effectively.

AI In Healthcare Market Size & Trends

A Grand View Research review estimated the global healthcare chatbots market at USD 787.1 million in 2022, with a projected CAGR of 23.9% from 2023 to 2030.

The global AI in healthcare market, valued at USD 19.27 billion in 2023, is projected to grow at a CAGR of 38.5% from 2024 to 2030. 

Driven by demand for improved efficiency and patient outcomes, 79% of healthcare organizations now use AI. 

Moreover, the return on investment (ROI) is achieved within 14 months, with a gain of USD 3.20 for every USD 1 spent on artificial intelligence (AI).

Understanding Custom GPTs

What Are Custom GPTs?

Custom GPTs or chatbots are AI models designed to understand and generate human-like text based on the data they are trained on. 

They’re capable of answering questions, providing information, and even engaging in conversation. 

In healthcare, these models can be tailored to meet the specific needs of medical practices, from managing patient inquiries to assisting with administrative tasks.

Why They Matter in Healthcare

Custom GPTs can significantly enhance the efficiency and quality of healthcare services. 

They offer personalized interactions with patients, automate routine tasks, and provide valuable insights based on data. 

This can lead to improved patient care, streamlined operations, and a more effective practice overall.

A Powerful Chatbot for Healthcare Providers

1. Automating Repetitive Tasks

34-55% of a physician’s time goes into reviewing medical records and recording notes.

Custom GPTs can handle time-consuming tasks like appointment scheduling, medication reminders, and generating basic reports. 

This frees up valuable time for doctors to focus on patient interaction and complex medical cases.

2. Clinical Decision Support

Custom GPT models can significantly enhance clinical decision-making by providing healthcare providers with instant access to relevant medical knowledge. 

They can recommend treatments, alert clinicians to possible drug interactions, and offer diagnostic guidance for complex cases, including suggesting appropriate laboratory tests. 

This not only improves efficiency and reduces mistakes but also enhances the overall quality of patient care.

3. Data Management and Retrieval

GPTs can analyze large datasets and retrieve relevant patient information quickly and accurately, aiding in faster diagnosis and treatment planning.

4. Personalized Patient Education

GPTs can generate customized educational materials based on a patient's specific condition and needs, improving understanding and adherence to treatment plans.

5. Virtual Assistants

Custom GPTs can power virtual assistants or chatbots that answer frequently asked questions, provide appointment scheduling support, and offer basic health information. 

This reduces the burden on staff and allows for 24/7 patient support.

GPTs can tailor their communication style to individual patients, making interactions more personalized and empathetic.

Want to Implement Custom GPT? 4 Key Points

1. Define Your Needs

Start by identifying where a Custom GPT can provide the most benefit in your practice. Focus on tasks that are repetitive or time-consuming and could be streamlined with automation. 

2. Choose the Right Partner

Select a development partner with experience in healthcare IT and data security. 

Ensure they understand healthcare workflows and PIPEDA/PHIPA/HIPAA regulations, offer solutions tailored to your practice, and prioritize robust data security measures to protect patient privacy.

3. Data Training and Customization

Customize your GPT by training it with medical data specific to your practice. 

This includes your practice protocols, common patient questions, and educational materials. Proper training ensures the GPT delivers accurate and relevant information.

4. Integration and Testing

Integrate the Custom GPT into your existing systems, such as EHRs or patient portals, with the help of your development partner. 

Conduct thorough testing to ensure seamless functionality and accurate, tailored information delivery.

You can also explore the ultimate guide to achieving EHR interoperability with ease.

How We Implement Custom GPT for Your Healthcare Facility - 7 Step Process

We're a Burlington-based health-tech company, and over the past three months, we've successfully implemented Custom GPT solutions in five medical facilities. Here’s a simple look at how we do it.

1. Needs Assessment and Goal Setting

We start by understanding your specific needs and goals through detailed consultations. This helps us customize the Custom GPT solution to fit your exact requirements.

2. Data Collection and Preparation

We work with you to gather and prepare relevant, high-quality data, ensuring it is clean and anonymized to meet privacy regulations.

3. Model Fine-Tuning

We adjust and train the GPT model using your data, focusing on the specific language and contexts relevant to your facility to ensure accurate and appropriate responses.

4. Integration with Existing Systems

We integrate the Custom GPT solution with your current systems, like EHR and patient portals, for seamless functionality and real-time data access.

5. User Training and Support

We provide training, user manuals, and ongoing support to ensure your staff can effectively use and benefit from the Custom GPT solution.

6. Compliance and Security

We prioritize data security and compliance with regulations like HIPAA, using encryption, access controls, and regular audits to protect patient information.

7. Scalability and Customization

Our solutions are designed to grow with your needs, offering customization and scalability to adapt to new data sources, functionalities, and use cases.

These chatbots use machine learning and deep learning to interact accurately and efficiently. 

They are already set up to work with major systems like Epic, Cerner, Telus, Allscripts, and other hospital management and EHR software, making integration smooth and versatile across healthcare operations.

Partner with Us for Seamless Custom GPT Integration

Many healthcare practices struggle with outdated systems that are time-consuming and prone to errors. 

Custom GPTs can streamline your operations by automating routine tasks, improving patient communication, and providing accurate, real-time information. 

However, implementing these advanced solutions requires expertise and a deep understanding of healthcare needs.

Choosing the right partner for integrating Custom GPTs into your healthcare practice is crucial.

Working with inexperienced AI developers can risk serious damage to your business.

This is where we come in. 

At SyS Creations, we understand the unique challenges you face as we have an exclusive experience of 10+ years in healthcare.

We specialize in leveraging top AI technologies like GPT from Microsoft Azure, IBM Watson, AWS SageMaker, and Google Gemini. 

By partnering with us, you benefit from our deep expertise in health tech, our commitment to innovative solutions.

Let SyS Creations help you navigate the complexities of AI integration and achieve a more streamlined, effective, and patient-centered practice.

Contact us at hello@syscreations.ca or call +1 905 635 7574