和信疼痛管理 app icon

Apps Like 和信疼痛管理 for iPhone and iPad

by Koo Foundation Sun Yat-Sen Cancer Center★ 0.00 ratingsMedicalFreeData updated 2026-09-25

和信疼痛管理 screenshots

Ranked alternatives

Showing 801–820 of 1,000 ranked alternatives.

  1. Flyinsono app icon

    Flyinsono

    VINNO Technology (Suzhou) Co., Ltd

    ★ 0.00 ratingsMedicalFreeData updated 2026-09-23
  1. AcuPebble (OSA) app icon

    AcuPebble (OSA)

    Acurable Limited

    Monitor sleep and track apnea events

    Monitor sleep patterns and detect apnoea events through data collected by the SA100 sensor. View sleep reports and share results with healthcare providers. Set up and manage the device activation code provided by a doctor.

    ★ 5.01 ratingsMedicalFreeData updated 2026-09-16
  2. Vikapic: Drug Interaction Scan app icon

    Vikapic: Drug Interaction Scan

    AppAscend Limited

    Meds, check interactions, stay safe

    Medication labels to check for interactions. Input names manually for detailed reports. View potential risks and safety recommendations. Save and share results with healthcare providers. Sync medication lists across devices.

    ★ 5.01 ratingsMedicalFreeData updated 2026-09-06
  3. World Drugs DB app icon

    World Drugs DB

    Tental Software

    Drug information from around the world.

    The app provides information on drug names and active ingredients from a database of over 300,000 products and 7,000 molecules across 200+ countries. Its database is stored locally, allowing access without an internet connection.

    ★ 1.01 ratingsMedicalFreeData updated 2026-09-17
  4. Magder Acid-Base app icon

    Magder Acid-Base

    Sheldon Magder

    Calculate ratios and track imbalances

    Calculate imbalances using Stewart's physical-chemical approach. Input blood gas values to determine strong ion difference, total CO2, and albumin. Generate clinical recommendations for correction. Track patient progress over time.

    ★ 5.01 ratingsMedicalFreeData updated 2026-09-06

How we rank alternatives

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