Apps Like Pill - Reminder Tracker for iPhone and iPad
Ranked alternatives
Showing 361–380 of 1,000 ranked alternatives.
Athelas
Athelas Inc.
Monitor vitals, track medications, view trends
Monitor blood pressure, weight, and glucose levels. Track medication adherence and update prescriptions. Analyze trends and receive insights based on health data. Set reminders for medication and vital checks.
ReminderLink
WORCESTER PHYSICIANS AND NURSES SERVICES LLC
Remind loved ones when meds are due
Schedule and send pill reminders, doctor visits, and tasks to loved ones. Both parties receive real-time alerts. No tech skills required for recipients. Caregiver controls all settings remotely. Track completion status and manage multiple users.
HypoTracker
hoverState 2.0, Inc.
Track symptoms and manage hypothyroidism
Track hypothyroidism symptoms with daily entries for blood pressure, body temperature, weight, energy level, and mood. View data visualizations over time with zoom capabilities. Set reminders and sync data across devices.
Symptom Tracker゛
CARECLINIC SOFTWARE INC.
Track symptoms, meds, and health history
Track symptoms, medications, and health notes in one place. Set reminders for doses and appointments. Log daily vitals and view progress over time. Share data with healthcare providers securely. Sync across devices for consistent access.
WeCare Diabetes
Health At Home Pte. Ltd
Track blood sugar and manage reports
Track glucose levels with real-time logging and historical data viewing. Set reminders for testing and medication. Sync data with health coaches for personalized feedback and consult recommendations. Export reports for doctor consultations.
Pain Meds Buddy: Pill tracker
Mindwarp Consultancy Ltd
Track doses, set reminders, view history
Track medication doses with customizable schedules. Set and manage reminders for each dose. View medication history and adjust dosages as needed. Log intake and monitor adherence over time. Sync data across devices for consistent tracking.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.