A HIPAA-compliant clinical mobile app for calculating Early Warning Scores (PEWS, MEWS, MEOWS, NEWTT) at the bedside, with on-device patient data.

Early detection of patient deterioration saves lives. This client needed a fast, reliable, clinically validated mobile app to calculate Early Warning Scores at the bedside across pediatric, adult, maternity, and neonatal care.

Challenge

Clinicians need to calculate scores quickly and accurately during rounds, often without reliable connectivity, while keeping sensitive patient data private and compliant. The app had to support multiple scoring systems (PEWS, MEWS, MEOWS, NEWTT), work offline, and meet HIPAA requirements.

Solution

We delivered a clinically validated mobile app and its companion marketing site:

  • Cross-Platform Mobile App: A clean, intuitive iOS and Android app covering PEWS, MEWS, MEOWS, and NEWTT scoring.
  • On-Device Patient Data: Patient information is stored locally on the device for privacy and HIPAA compliance, with optional secure export.
  • Evidence-Based Algorithms: Scoring logic built on established clinical guidelines, developed in collaboration with a consultant pediatrician.
  • Marketing Website: A fast, JAMStack landing site on Cloudflare Workers to drive App Store and Google Play downloads.

Results

The app streamlined bedside assessments to under a minute, reduced manual scoring errors, and gave clinicians a single trusted tool across every patient population, all while keeping patient data secure on-device.