INSTRUCTIONS

I am the manufacturer of a medical device used in hospitals, called Legit.Health. This device receives images taken with a smartphone and outputs the condition present in the image, the likelihood of it being malignant and the severity (degree of involvement) of the condition. I want to price my device based on the costs, taking into account that:

1. It's a medical device, so it requires a high cost in the manufacturing due to observing manufacturing standards, as well as high certification fees
2. It's a deep learning algorithm that processes multiple images, which can be heavy (up to 20 MB in images taken with iPhone) with a response time of the server of less than 1s, which is expensive
3. The manufacturer also needs to comply and be certified in the Esquema Nacional de Seguridad, which adds a lot of ongoing operation costs
4. The customer support included in the license from dedicated personnel
5. The cost of the ongoing re-training of the artificial intelligence
6. The fact that it includes not one, but three features with different deep learning models: diagnosis (classification model), severity measure (multiple models for different clinical signs, of segmentation, detection and classification) and image quality check (classification model) Create a markdown document that explains the price of such a product. Explain how, although it's different to a physical service like a blood lab test, it still has operational costs which are high. Use as many sources as possible, include formulas.

In the document apps/qms/docs/pricing/initial-analysis/cost-based-pricing/resources/chatgpt5-investigation.mdx, you will find what ChatGPT 5 came up with regarding the costs. In the document apps/qms/docs/pricing/initial-analysis/cost-based-pricing/resources/geminis-investigation.mdx, you will find what Google Gemini came up with regarding the costs.

The price of the Legit.Health medical device can be offered in two ways:

• By Diagnostic Report: which means processing an image, and outputting a diagnostic report with the condition present in the image, the likelihood of it being malignant and the severity (degree of involvement) of the condition.
• By patient (per capita): which means charging a fixed fee per patient managed using the device, regardless of the number of images processed.

Your output should be written into apps/qms/docs/pricing/initial-analysis/cost-based-pricing/output.mdx. It will be a markdown document that includes all the relevant information about the costs, and the final price per diagnostic report and per patient.