Glass Health

What is Glass Health?

Glass Health is a pioneering innovation in the medical technology landscape that amalgamates the power of artificial intelligence with the wealth of clinical knowledge. At its core lies a large language model (LLM) that’s integrated with a comprehensive clinical knowledge database. This database is meticulously designed and maintained by health professionals to produce DDx and Clinical Plan outputs.

This revolutionary product is still in the experimental stage and relies heavily on the GPT-4 large language model. It's capable of creating an advanced differential diagnosis or a draft clinical plan based on the clinical problem representation that's submitted to it. To enhance the precision of its AI outputs, this model is combined with a plethora of context, including evidence-based guidelines, schemas, case studies and more, contributed by the clinicians at Glass Health.

Primarily, Glass Health aims at assisting healthcare professionals by providing accurate and thorough clinical information. However, it is important to note that the currently evolving foundational language models can potentially produce biased or inaccurate information. Also, the platform is not designed to maintain any protected health information. Hence, the AI outputs should always be seen as a supplementary tool and should never replace the independent professional judgment of a healthcare provider.

How to Use Glass Health: Step-by-Step Guide to Accessing the Tool

1. Create a Glass account: Since Glass AI is an experimental product in development, users must create an account to access its features.
2. Submit a Clinical Problem Representation: The platform generates a differential diagnosis based on the clinical problem representation submitted. The quality of the output will greatly depend on the quality of the information submitted.
3. Interpret AI Outputs: As previously mentioned, all AI outputs must be carefully interpreted. They should be reviewed as though they were created by a trainee and not replace the healthcare provider's expert judgment.

Glass Health Use Cases

Glass Health is a practical resource for health practitioners in various ways. Here are some noteworthy use cases for the platform.

1. Clinicians can refer to Glass Health for differential diagnosis assistance. By inputting patient specific symptoms or clinical presentations, a list of possible conditions can be generated.
2. Professional development and training can be facilitated using Glass Health's AI outputs. Trainee doctors and medical students can use Glass AI to better understand and interpret clinical plans and differential diagnoses.
3. It can also play a critical role in research by providing clinical guidance and suggestions based on subject-specific inputs.