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Development of a Mobile Application for Lung Cancer Risk Assessment

netguru.com

Health & Fitness

Medical

Biotechnology

Challenge: Need for Faster and More Accessible Lung Cancer Risk Assessment

While Oncimmune offers early cancer detection tests, there's a need for a readily accessible and convenient tool for doctors to quickly assess the probability of lung cancer in patients with lung nodules. Current methods may be time-consuming or lack standardization, hindering timely intervention and potentially delaying treatment.

About the Client

Oncimmune is a leading early cancer detection company specializing in autoantibody-based testing for diseases like lung cancer. They are focused on developing and deploying innovative diagnostic tools to improve patient outcomes.

Objectives: Develop a User-Friendly Lung Cancer Risk Assessment Application

Develop a mobile application for iOS and Android platforms.
Implement the Oncimmune-developed algorithm for calculating lung cancer risk.
Provide a simple, intuitive interface for doctors to input patient information and receive a risk assessment.
Enable quick risk assessment based on a few patient-provided answers.
Achieve a rapid development cycle to facilitate timely deployment and feedback.
Ensure the application aligns with Oncimmune's brand guidelines.

Functional Requirements

Patient data input (age, smoking history, exposure history, etc.)
Algorithm execution for risk calculation.
Display of calculated lung cancer risk probability.
User-friendly interface for easy navigation.
Data storage (optional, depending on security and privacy considerations).
Integration with device settings for optimal performance on iOS and Android.

Preferred Technologies

React Native (for cross-platform development)

Mobile-first design principles

Cloud-based backend (for data storage and algorithm processing – to be determined)

RESTful APIs for data exchange

Integrations Required

Potential integration with existing Oncimmune diagnostic systems (to be defined)
Possible integration with Electronic Health Record (EHR) systems (future phase)

Non-Functional Requirements

Performance: Fast risk calculation and responsive UI.
Security: HIPAA compliance and protection of patient data.
Scalability: Ability to handle a large number of users.
Usability: Intuitive and easy-to-use interface for medical professionals.
Reliability: Consistent and accurate risk assessments.

Expected Business Impact

This application is expected to significantly enhance Oncimmune's value proposition by providing a faster and more convenient tool for early lung cancer risk assessment. This will facilitate quicker diagnosis, enable earlier intervention, and ultimately contribute to saving more lives. The rapid development cycle will allow for quick market entry and valuable user feedback, allowing for iterative improvements and maximizing the return on investment.