©The Author(s) 2022.
Artif Intell Gastroenterol. Apr 28, 2022; 3(2): 66-79
Published online Apr 28, 2022. doi: 10.35712/aig.v3.i2.66
Published online Apr 28, 2022. doi: 10.35712/aig.v3.i2.66
Table 3 Characteristics of an ideal tool to monitor blood glucose in intensive care unit
| Ease to use |
| Minimal burden on staff |
| Automated data entry |
| High rate of adherence |
| Allow for minimal sampling |
| Comfortable to use for the patient |
| Use of a proven algorithm to calculate insulin dosage |
| Quickly correct hyperglycemia |
| Consistently maintain glucose within the predetermined optimal range |
| Ensure minimal glycemic variability |
| Prevent episodes of hypoglycemia |
| Provide easy interface with other patient measurements and data |
| Easy to integrate into existing hospital systems |
| Avoid the need for repeated data entry |
| Maintain results in a comprehensive, standardized database to facilitate multi-center comparison |
- Citation: Juneja D, Gupta A, Singh O. Artificial intelligence in critically ill diabetic patients: current status and future prospects. Artif Intell Gastroenterol 2022; 3(2): 66-79
- URL: https://www.wjgnet.com/2644-3236/full/v3/i2/66.htm
- DOI: https://dx.doi.org/10.35712/aig.v3.i2.66