Clinical Decision Support Platform
DiagnomIQ is an AI-powered Clinical Decision Support Platform developed by Softnotions that helps healthcare professionals generate treatment reports, analyse clinical data, and predict patient outcomes faster.
Empowering Clinicians with Intelligent Decision Support
To build an intelligent, AI-powered platform that simplifies clinical workflows by generating structured treatment reports and providing predictive insights all within a secure, doctor-centric environment.
Doctors often rely on scattered clinical data and manual documentation to prepare treatment reports during multidisciplinary discussions. This process is time-consuming, prone to inconsistencies, and limits the ability to quickly derive meaningful insights such as patient outcome predictions. Additionally, ensuring secure handling of sensitive patient data while maintaining ease of use for clinicians is a critical requirement.
As one of Softnotions' successful Case Studies, DiagnomIQ showcases an AI-powered Clinical Decision Support Platform that streamlines clinical reporting and decision-making. The platform consolidates patient data into a secure interface, enabling clinicians to generate treatment reports, review clinical insights, and predict patient outcomes more efficiently. By reducing manual documentation and supporting multidisciplinary care, DiagnomIQ helps healthcare professionals make faster, data-driven decisions while improving overall clinical efficiency.
Technologies and Tools
Slack For Team Conversations/ Meetings/Share Documents
Proto.io For Prototype Screen Interfaces
Lucidchart for visualizing Diagrams/ Architecture
Git for Source Code Management
Jira For Project Management
Figma for Build Digital Products
Features
AI-generated structured MDT reports
Smart clinical data extraction
Patient outcome prediction
Secure centralized document storage
Simple patient-focused workflow
Editable report templates
Secure doctor-only access
Doctor dashboard with key insights
Impact
Reduced documentation time with AI-generated reports
Improved reporting consistency with standardized formats
Enabled faster decisions through predictive insights
Reduced manual data review and extraction efforts
Improved multidisciplinary team collaboration
Increased accuracy by minimizing documentation errors
Ensured secure patient data management
Enhanced clinician productivity and AI-driven healthcare support
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