Apps Like Referral–Fresenius Kidney Care for iPhone and iPad
Referral–Fresenius Kidney Care screenshots
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.





PhosFilter
Logic Lab 406 LLC
Scan ingredient lists and flag phosphates
Scans and analyzes ingredient lists to identify added phosphates. Alerts users about high phosphate content. Provides dietary recommendations for CKD and dialysis patients. Integrates with health apps for tracking nutrient intake.

Minuteful ‑ Kidney Test
Healthy.io LTD
Urine and track results anytime
Guide users through home urine testing with step-by-step instructions. Capture and analyze results for health. Share results with healthcare providers. Store and view historical data. Receive notifications for completion and results.


myDaVita
DaVita, Inc.
Track lab results and manage health records
Track lab results and health records. Access treatment information and nutrition tools. Learn about kidney disease and lifestyle choices. Manage appointments and communicate with care teams. View medication schedules and dietary guidelines.


Kidney Diet Tracker KidneyPal
Prestige Worldwide Apps LLC
Track and nutrient limits
Track daily intake of sodium, potassium, and phosphorus based on CKD stage and dialysis status. Set personalized dietary limits. Log meals and receive alerts for nutrient thresholds. Sync with food databases for accurate tracking.




OneView DPS
DVA Renal Healthcare, inc
Track patient data across multiple sites
Access patient records, view lab results, and manage treatment plans. Document notes and update care plans. Receive alerts for critical patient updates. Schedule and track appointments across multiple facilities.






Invisalign Practice App
Align Technology, Inc.
Manage patient tasks and prioritize daily workflow
Manage patient tasks with a dashboard overview. Create and capture patient profiles. Check case applicability with Go. Monitor treatment progress remotely. Integrate with the Doctor Site for management.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.