Discover how Generative AI (GenAI) can help you personalize care and save time by expanding your capabilities. We’ve worked together with Novartis to curate relevant tools you can apply to your clinical practice today.
Click on each application below to learn more
Check out each tool to understand its regulatory certifications (such as FDA clearance, CE marking, HL7 compliance, HIPAA compliance), and review the available clinical evidence supporting its effectiveness
Featured clinical and administrative applications
Generative AI can help reduce the administrative burden on clinicians by creating and updating documents, such as medical records, prescriptions, referrals, or invoices, based on the data and information they provide.
For example, generative AI can write a concise and accurate summary of a patient’s visit, including the chief complaint, history, physical examination, diagnosis, and treatment plan, by using natural language processing and understanding. This can save time and effort for clinicians and improve the quality and consistency of documentation.
Can you create a custom starter template for this patient’s insurance claim.
Generative AI (as opposed to non-Generative AI) can be used to augment or enhance a clinical diagnosis by creating new content that can help with the diagnosis process. For example, generative AI can create realistic images of a patient’s organs or tissues from low-quality or incomplete data, such as X-rays, CT scans, MRI scans, or ultrasound scans.
This can help clinicians see more details and detect abnormalities faster and more accurately. Generative AI can also create natural language summaries of a patient’s medical history, physical examination, laboratory tests, and other diagnostic information. This can help clinicians get a comprehensive overview of the patient’s condition and make a more informed diagnosis.
Help me visualize what’s going on in 3D so I can detect anomalies.
Generative AI can help patient education by creating and delivering content, such as videos, animations, diagrams, or articles, based on the data and information they receive.
For example, generative AI can create a personalized video that explains a patient’s condition, treatment options, risks and benefits, and expected outcomes, by using natural language generation and video synthesis. This can improve the patient’s understanding and engagement and help them make informed decisions about their care.
What are the pros and cons of surgery versus chemotherapy for my condition? How might this impact my quality of life based on my family context?
Generative AI can help patient follow-up and support by sending reminders and answering questions from patients, loved ones and informal caregivers. The technology uses natural language processing to search credible databases, retrieve relevant information, personalize it to the patient’s context and deliver it in engaging ways.
For example, generative AI can create a message that reminds a patient to take their medication, monitors their symptoms and side effects, provides self-care tips, or connects them to resources or services. This can improve the patient’s adherence and satisfaction and help them manage their condition better.
I’m feeling pain in my bones today. What could it be? Should I reach out to my doctor or wait until this passes?
While traditional AI is primarily focused on analyzing and interpreting existing data, Generative AI goes a step further by generating entirely new content. It has the ability to produce creative and innovative outputs, making it a powerful tool for tasks such as content creation, design, and even problem-solving.
In the context of healthcare, generative AI holds immense promise. It can be used to generate synthetic medical images for training and testing AI models, simulate patient data, or even assist in the development of new treatment methodologies. By leveraging the power of generative AI, healthcare professionals can gain access to a wealth of novel information and possibilities that were previously unattainable.
