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AI-generated apps that pass security review
Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.
Retool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
Computerized guideline editor for clinical decision support
...GDL is a formal language designed to represent clinical knowledge for decision support. It is designed to be natural language- and reference terminology- agnostic by leveraging the designs of openEHR Reference Model and Archetype Model. The tool provides an editing and testing environment capable of generating forms based on the elements defined in the GDL.
Requirements:
Java Runtime Enviroment (JRE) 1.6 or higher
Healthcare Information System (EHR EMR PMS) for small hospitals and clinics. Scheduling, Orders, Meds, Pharmacy, Clinical Doc, HL7, Billing & more. Broad commercial support. Distributed clinical system written in pure Java with toolset to customize.
GastrOS is an endoscopic reporting application based on open standards: openEHR and MST. GUI is driven by Archetypes/Templates. It is part of our research at the University of Auckland to investigate software maintainability and interoperability.
Treata is an free and open source electronic health record system. It is an open source implementation of CEN 13606 standard and OpenEHR specifications.
Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.
Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
The Open Source Health Information Platform is a Python implementation of openEHR electronic health record specifications http://www.openehr.org. Project website : http://launchpad.net/oship Analytics are at: http://www.ohloh.net/projects/oship