Create and publish clinical
decisions support algorithms

• Create variables and pre-defined syndromes (e.g., basic measurement, physical exam, background calculation or score, etc.)
• Construct decision trees using web-based drag-and-drop interface
• Assign treatments and managements to each diagnosis
• Incorporate learning content
• Allow health workers to accept or reject proposed diagnoses and drugs
  

Manage patients from medical
history to drug dosing

• Implement algorithm logic based on patient-specific inputs to determine the most appropriate diagnosis and treatment
• Follow the algorithm in a typical
  consultation workflow; pause and resume consultations at any time
• Compute drug dosage
• View information from past medical cases for a given patient, add new consultations
• View learning content (text, images, videos, sound clips)

» medAL-reader‘s open source code on GitHub.

Share cases among health
workers in a facility

• Use a local network to enable case sharing among all tablet users in the health facility
• Maintain a local database of patients without overloading tablet storage
• Send data to medAL-data when connected to the intern
• » medAL-hub‘s open source code on Bitbucket.

Deploy algorithms and
collect and manage data

• Create and manage health facilities, users, and electronic devices
• Manage algorithm versions assigned to each health facility
• Monitor system and data sync status
• Manage the patient database and export data
• Generate unique patient QR codes
• Manage duplicates and de-identification
• » medAL-data‘s open source code on Bitbucket.