Remote patient monitoring
The solution is aimed to provide an ability to easily capture and recognise data from medical devices with display but without connectivity options
Idea & background
The initial idea was to provide end-users (mostly we are thinking about patient from rural areas and people who is on post acute care and has to be constantly or periodically monitored) with an ability to do it at home with as easy as possible functionality (so ideally one button app).
Here is the simple three-step flow which now implemented in the PoC:
Here is the simple three-step flow which now implemented in the PoC:
- User opens a phone or a web app
- User takes photo of measurements and upload it to the app
- Algorithm recognises values and sends data to EMR/EHR system then medical personnel can see this data and make a decision
High level architecture
System can be used via Web browser or Mobile device.
It can be installed locally on a medical organisation facilities but also can be deployed to any cloud as it is cloud agnostic.
It uses NodeJS for the Web application part and Python for medical values recognition.
System integrates with EMR/EHR systems using API but other methods (like DB integration is also possible)
It can be installed locally on a medical organisation facilities but also can be deployed to any cloud as it is cloud agnostic.
It uses NodeJS for the Web application part and Python for medical values recognition.
System integrates with EMR/EHR systems using API but other methods (like DB integration is also possible)
Data flow process & use cases
Detailed data flow described on the diagram here.
White boxes are currently implemented and grey boxes are under development.
There are several use cases for the system.
Use case #1: Nurse or Doctor makes photo of medical devices screen linked to patient, enters patient id or name into the system. It allows them to avoid handwriting procedures as values will be automatically recognised and put to patient's medical record.
Use case #2: Patient or caregiver makes photo without entering patient information as it's already linked to the patient if system is used by patient at home. Data got recognised and sent to EMR/EHR system. Medical personnel can see the data uploaded by the patient.
White boxes are currently implemented and grey boxes are under development.
There are several use cases for the system.
Use case #1: Nurse or Doctor makes photo of medical devices screen linked to patient, enters patient id or name into the system. It allows them to avoid handwriting procedures as values will be automatically recognised and put to patient's medical record.
Use case #2: Patient or caregiver makes photo without entering patient information as it's already linked to the patient if system is used by patient at home. Data got recognised and sent to EMR/EHR system. Medical personnel can see the data uploaded by the patient.
Demo video
