ENIAPP
Clinical decision support system (CDSS) to support infection diagnosis and antimicrobial therapy selection.
Role: Conceptualization, architect, design, development and deployment on NHS.
The aim of this project is improving upon the initial rule-based model and providing personalised decision support using individual level data specifically for patients in intensive care through the use of Case-Based Reasoning. (the ENIAPP project)
This project involved 18 months of work including: stakeholder requirements gathering; workflow modelling; medical decision making analysis from critical care and infection specialists; mapping of existing and required information systems; and finally, an adaptive software development process. Clinico-physiological and demographic parameters influencing infection management were categorised and integrated into the case-based reasoning algorithm, and definitions of antimicrobial regime success and failure were developed.
The final product, ENhanced Imperial Antibiotic Prescribing Policy app (ENIAPP) has been developed as an mHealth application for use on mobile tablets with information governance assured through use of the App as a thin client, and all communication between the App and the central servers is within secure hospital firewalls. Pilot data on 50 clinical cases showed 100% accurate retrieval of patient demographic, clinical and pathology data from disparate NHS information systems.