TransplantLyfe365 app icon

Apps Like TransplantLyfe365 for iPhone and iPad

by Diabetic Care RX, LLC★ 0.00 ratingsMedicalFreeData updated 2026-09-06

Ranked alternatives

Showing 421–440 of 1,000 ranked alternatives.

  1. Hem/Onc @Point of Care app icon

    Hem/Onc @Point of Care

    At Point of Care, LLC

    Access patient data and track progress

    Access curated, evidence-based medical content for hematology and oncology. Use voice-enabled navigation to search for disease-specific information. Track patient progress and receive clinical decision support.

    ★ 5.02 ratingsMedicalFreeData updated 2026-09-12
  2. Onewellness: Health Partner app icon

    Onewellness: Health Partner

    One Health Limited

    Track metrics and schedule care appointments

    Track symptoms, set medication reminders, and schedule appointments. View metrics and receive personalized recommendations. Access telehealth consultations and connect with care teams for proactive management.

    ★ 4.88 ratingsMedicalFreeData updated 2026-09-06
  3. HealSync app icon

    HealSync

    BITLogix (Pvt) Limited

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  4. Diabetes Pro Tracker - Daily app icon

    Diabetes Pro Tracker - Daily

    MARK MANSER

    Track blood sugar and carbs

    Track blood glucose levels, carbohydrate intake, and active insulin levels. Set target ranges for blood sugar. View estimated HbA(1c) levels. Monitor trends and receive alerts for high or low glucose readings. Sync data with healthcare providers.

    ★ 4.76 ratingsMedicalFreeData updated 2026-09-18
  5. Carium Care app icon

    Carium Care

    Carium, Inc.

    Connect with patients remotely

    Healthcare providers and coaches can communicate with patients via HIPAA-compliant messaging. Share real-time health data securely. Schedule virtual check-ins and monitor patient progress remotely. Send reminders and track treatment adherence.

    ★ 5.07 ratingsMedicalFreeData updated 2026-09-17

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.