Healthcare: Research in Generative AI Use Cases and Risks

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Cleveland Clinic
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Benchmark of GenAI in Healthcare

Applications of GenAI in Healthcare

Generative AI (GenAI) has found extensive applications within the healthcare sector, offering transformative benefits across various domains. These applications range from enhancing clinical operations and patient care to supporting corporate functions and medical research.

Clinical Operations

GenAI is revolutionizing clinical operations by automating time-consuming tasks, such as generating post-visit summaries, care coordination notes, and workflow materials. This technology synthesizes care instructions, electronic medical records (EMRs), and dictations, which streamline the workflow for healthcare professionals. Additionally, GenAI can create personalized training programs for clinicians, develop educational materials for disease management, and generate care plans and summaries for patients.

Patient Care and Management

GenAI is also improving patient care and management by assisting with symptom checking, appointment scheduling, and medication management. It plays a crucial role in patient education and chronic disease self-management. Healthcare providers can utilize GenAI to generate custom coverage summaries, call scripts, and adaptive chatbot responses, which enhance service interactions for patients and providers alike.

Drug Discovery and Repurposing

In the realm of drug discovery, GenAI is instrumental in predicting the effectiveness of existing drugs against various diseases, thereby identifying novel applications for these medications. This capability significantly expedites the drug development process and opens up possibilities for drug repurposing.

Medical Imaging

Medical imaging, a critical component of modern healthcare, benefits greatly from GenAI. The technology addresses challenges related to managing large and complex datasets generated by imaging modalities. It offers solutions for efficient data management and storage while tackling interoperability issues that impede seamless integration into Electronic Health Record (EHR) systems.

Documentation and Record-Keeping

Automating documentation tasks, such as transcribing medical notes and updating patient records, is another area where GenAI proves invaluable. By reducing the administrative burden on healthcare professionals, it allows them to focus more on patient care.

Marketing and Sales

GenAI also enhances marketing and sales efforts by analyzing consumer distribution, summarizing customer feedback, and improving chatbots for member servicing.It creates first-draft materials and product overviews, helping potential members understand coverage options and choose plans accordingly.

Clinical Analytics

In clinical analytics, GenAI leverages conversational language to obtain insights and uses AI-assisted coding to automate repetitive tasks. This application brings years of clinical data to a clinician’s fingertips in seconds, aiding in the rapid analysis and decision-making process.

Engaging patients in discussions about AI applications in their healthcare is crucial. GenAI facilitates transparency and informed consent, ensuring that patient autonomy and privacy are respected throughout the process. This approach enhances patient engagement and trust in AI technologies.