ஜர்னல் ஆஃப் ஹெல்த் இன்ஃபர்மேடிக்ஸ் & மேனேஜ்மென்ட்

Insulin Therapy Decision Support System: A Study of its Evolutionary Path

Hamid Moghaddasi, Shirin Ayani2, Majid Valizadeh and Forough Rahimi

Scientists are trying to create clinical decision support systems (CDSSs) to keep blood glucose level of diabetics in the permitted range, which is performed through precisely estimated dosage of insulin. This study aims at examining the evolution of CDSSs. In this review, scientific databases using a combination of sensitive keywords were searched out in articles published in accredited journals. The purpose was to find software associated with insulin therapy, with any technology used in them. The findings indicated that insulin therapy can be performed through new technologies related to CDSSs with two different approaches, open and closed,each consisting of two different functions. Furthermore, the effectiveness of CDSSs in glycemic control and development of related technologies were remarkable. It is anticipated that in the near future, CDSSs based on closed approach will be created, can act as an expert system in the form of a very small pump attached to the patient’s body. Pump performance is not only affected by the improvements of CDSS, but also related to the daily growth of Nanoelectronics.

மறுப்பு: இந்த சுருக்கமானது செயற்கை நுண்ணறிவு கருவிகளைப் பயன்படுத்தி மொழிபெயர்க்கப்பட்டது மற்றும் இன்னும் மதிப்பாய்வு செய்யப்படவில்லை அல்லது சரிபார்க்கப்படவில்லை