Smart Diabetic Screening and Managing Software, A Novel Decision Support System

Area of Science:

• Medical Informatics
• Public Health

Background:

• Diabetes mellitus is a growing global health concern requiring effective management to prevent complications.
• Clinical management of diabetes presents challenges, highlighting the need for advanced interventions.
• Information technology-based solutions, like Clinical Decision Support Systems (CDSS), can enhance chronic disease care adherence.

Purpose of the Study:

• To develop a diabetes management decision support system based on established clinical guidelines.
• To reduce medical errors and improve adherence to diabetes care standards through a novel software solution.

Main Methods:

• Reviewed existing diabetes mellitus guidelines (e.g., ADA 2017, AACE 2017).
• Designed screening and management flowcharts and algorithms.
• Developed a web-based software application based on the designed algorithms.

Main Results:

• Successfully established smart diabetic screening and management software.
• The software serves as a reliable source for patient information, promoting better health status and diabetes control.

Conclusions:

• Healthcare technology, specifically IT-based interventions like CDSS, can significantly improve diabetes care quality.
• This web-based system offers advantages in real-time registration, reporting, and reducing mismanagement, aiding physicians in patient care.
• Effective disease management is crucial for chronic conditions like diabetes, and this system supports that critical component.