Home / Alternatives to 통합의료관리 Apps Like 통합의료관리 for iPhone and iPad
by CareSquare Inc. ★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Ranked alternatives Showing 1–20 of 451 ranked alternatives.
Naitedyu Co., Ltd.
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Nayoung Kim (KR)
★ 5.0 1 ratings Medical Free Data updated 2026-09-06
cloud korea Co., Ltd.
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Onnuri Chain.Co.LTD
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
WHODADOC CO.,LTD.
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-21
ONTACT HEALTH Co., Ltd.
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Pillyze Inc.
★ 4.7 50 ratings Health & Fitness Free Data updated 2026-09-06
AFZIMA CO.,LTD.
★ 5.0 1 ratings Medical Free Data updated 2026-09-06
Huraypositive Corp.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-20
NHN Edu Corp.
Track period, track fertility, share with partner
Track menstrual cycle with symptom logging, period duration, pain level, mood, and contraceptive use. Predict ovulation and fertility window with automated calculations. Share cycle details with partner via couple connect without installation.
★ 4.8 2,209 ratings Health & Fitness Free Data updated 2026-09-08
Healthmedi co.,LTD.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Onemedicsindustry.Corp.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
EverEx
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Vivid Health Inc.
★ 5.0 1 ratings Medical Free Data updated 2026-09-06
365mc Holdings
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-11
BeautySocial Inc.
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
chae eun kim
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Flydoctor Inc.
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Chungnam National University Hospital
★ 1.5 2 ratings Medical Free Data updated 2026-09-13
CHOI GIRRYONG
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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