Apps Like AiDEX mmol/L for iPhone and iPad
AiDEX mmol/L screenshots
Ranked alternatives
Showing 441–460 of 1,000 ranked alternatives.

EBMcalc Endocrine
Foundation Internet Services, LLC
Calculate hormone levels and dosages
Calculate -related dosages and conversions. Access clinical decision trees and diagnostic criteria. Input patient data to determine treatment thresholds and medication adjustments. Verify calculations for insulin, glucose, and hormone levels.

Blood Sugar Monitor & Glucose
Andrii Bashta
Track levels and manage diabetes data
Track levels, insulin doses, carbs, and physical activity. View detailed statistics, charts, and HbA1c estimates. Set custom targets and export data as CSV. time in range and analyze trends.


Heart Rate Monitor - BP Log
WISERAPPS YAZILIM HIZMETLERI ANONIM SIRKETI
Track , BP, and oxygen levels
Track , blood pressure, oxygen saturation, blood sugar, and BMI with detailed logs and trend analysis. Set reminders, add notes, and view charts for insights. Receive AI-driven health coaching and HRV for cardiovascular health.





Ecolab EnCompass
Zerion Software, Inc.
Track cleaning data and generate reports
Track environmental cleaning data using GPS and sensors. Generate reports on cleaning effectiveness. Set reminders for cleaning schedules. Monitor patient safety metrics over time. Sync data with healthcare systems for analysis.

Halza
Halza Pte. Ltd.
Track health data and share with doctors
Manage family health with shared profiles, track children's growth and vaccinations, and store medical records securely. Share data with doctors globally and organize health information efficiently.



nudg | nightscout companion
Jonathan Rhodes
Track glucose levels and manage insulin doses
Track blood glucose levels, insulin doses, and carbohydrate intake. View real-time data from . Set reminders for testing and medication. Generate reports and share insights with caregivers. Adjust settings for personalized alerts and notifications.




How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.