Recently, we were advising a maternity hospital major on efficiency improvement and business transformation.
I realized two problems in the area of Outpatient Treatment and Emergency Diagnostics
- Most doctors note down the patient details in a standard prescription which is handwritten
- During the delivery process, all updates regarding the patients conditions are also jotted down manually
The above is creating certain challenges in storing the files and using them later because the format is shabby and unreadable and deteorates as the file becomes older.
For example, information taken during the first month of the pregnancy must be available for atleast two years. Similarly information garnered during delivery is extremely useful in further pregnancies or gynaecological issues of the patient. Doctors also opine that the above two streams of information can be used for treatment and cure in pregnancy problems.
So AI can be applied in the following ways:
- Handwritten prescriptions can be scanned by a system and a AI model can be built to convert the handwritten prescription into a predetermined usable format (basically digitization). The software can be trained based on the handwriting of the incumbent stuff and also the medical and prescription library available to intelligently guess the handwritten words and convert them into a usable format
- Statistics collected using the above information can be used to model and predict key indicators such as:
- mother’s health
- expected due date
- complications that may come