How developing a wallet-friendly, BioTech-based patient identification software for healthcare institutions (HI) allowed an HDM company to cut out identification errors and record duplicates and grow its HI-base by 32%.
The idea to develop the product for patient identification came to our customer because of the acute problem of personal identification in the field of healthcare.
The fact is that there occur different problems in the registry during identification of a person: inaccuracies, identification errors, and duplication of registration details. In such cases, employees spend a lot of time looking for the correct patient records.
There are more accurate ways of personal identification. These are biometric technologies, such as fingerprint scanners or vein scanners. However, such methods are poorly distributed because of their high cost.
The product for patient identification solves the problem of identification efficiently and relatively cheaply: with the help of face identification technology. This requires the use of cheap devices, such as smartphones and tablets.
The customer tasked our company with the development of this patient identification software. The company required us to develop an application that could be further distributed to healthcare institutions (HI).
The structure of the application should be as follows:
We suggested developing a web and a mobile application.
We developed a mobile application (on iOS and Android platforms) for patients. It can be installed via a QR code. After installing the application, one has to enter their personal data and upload a photo. This application helps to make an appointment and receives notifications and QR codes for verification at the HI.
We have developed a web-based face recognition app for use in an HI. It is installed on the device the patient passes through during identification. The web application serves to read the QR code and recognize the patient’s face. After verification is completed, the web application shows the patient what room to go to. If the QR code does not work, the application notifies the patient of the need to approach the registry.
Moreover, a part of our work was the development of a UX/UI design.
The web-based face recognition app allows the user to:
Shoot a photo via the device camera
Enter confirmation information
Read a verification pass QR code from a smartphone
Use the app on a tablet
The mobile app allows the user to:
Sign up
Enter a set of required personal data, including a series of selfie images
Edit content entered
Keep information about appointments and other events
Save pass QR codes for each event
Integrate with a client’s server
Web technologies:
JavaScript, TypeScript
Angular.js 2.0 + MVP/Wizard style
Customized Tracking.js, Customized WebQR
Ionic 2.0 (mobile prototype)
Unit & E2E Testing: Angular TestBed, Jasmine, Protractor
Custom Design, SCSS, CSS
Mobile technologies:
Objective-C
Java Development Kit (JDK) 7 and Android Studio
