At the beginning of the year i resolved to bring to life two app ideas i had been having for the year,the first is Shmoney,which i have posted about here and is growing well and the second one is called labmate.

Labmate is an idea that came from an issue i observed during my time at mbagathi(a long time ago i did my internship as a clinical officer there) most doctors and clinical officers in the outpatient department have really long queues of patients that are seeking treatment, the come in for consultation and we send them to the lab for tests. 

Ideally we are supposed to explain the lab results to the patient in a way that they can understand, this is called patient education and its key in:

* **Better Adherence:** People who understand their prescriptions and care plans take medications correctly and finish treatments.
* **Early Detection:** Educated individuals spot early warning signs and seek medical help faster.
* **Less Stress:** Knowing what to expect during recovery or surgery cuts down fear and worry.
* **Active Control:** Patients gain the confidence to make smart daily health and lifestyle choices

Because we see very many patients, we seldom do this and patients leave with many questions and very complicated lab results with numbers and terms they cannot understand. 

This is the reason i built labmate, labmate helps the user to make sense of the lab results but uploading the labresults to the Ai and getting a laymans explanation in whatever language(even sheng).

And before you lynch me on privacy, labmate allows you to redact your personal information from the image/scanned document before uploading it to be analysed by the AI.

Many people will attack me by saying chatgpt and other things can do the same thing but my key value proposition here is patient confidentiality and understanding even in local dialects. Try out the MVP here: [https://play.google.com/store/apps/details?id=com.labgpt.ai&hl=en](https://play.google.com/store/apps/details?id=com.labgpt.ai&hl=en)

I built another thing