AI and the Future of Healthcare: Transforming Clinical Trials with Kombocode
Client:
AstraZeneca
Industry:
Pharmaceutical
Challenge:
AstraZeneca faced significant challenges in optimizing its clinical trial processes and improving patient care:
Data Management: Collecting and managing vast amounts of trial data efficiently.
Security and Compliance: Ensuring data protection and adherence to stringent industry regulations.
Process Efficiency: Streamlining clinical study workflows to reduce costs and enhance speed.
Real-Time Diagnostics: Providing AI-powered tools to help clinicians diagnose patients effectively when reporting symptoms after experimental treatments.
Personalized Patient Experience: Delivering tailored information and recommending suitable clinical trials based on patients’ conditions.
HCP Collaboration: Equipping healthcare professionals (HCPs) with tools to gather and analyze real-time patient data via mobile apps and a dedicated platform.
Solution:
Kombocode developed an AI-driven platform that addressed AstraZeneca’s needs through innovation and technology:
Centralized Data Repository: A robust system for collecting, managing, and analyzing clinical trial data.
Security and Compliance Tools: Advanced measures to safeguard sensitive data and ensure regulatory compliance.
Workflow Automation: Automated data collection and reporting features to optimize clinical study processes.
AI-Powered Diagnostics: Tools leveraging Natural Language Processing (NLP) to analyze patient-reported symptoms, identify potential risks, and present actionable insights to clinicians for faster, more accurate decisions.
Patient Engagement Tools: A mobile app enabling patients to report symptoms and receive personalized recommendations, paired with an HCP platform for seamless data sharing and analysis.
Impact:
Kombocode’s platform delivered measurable improvements to AstraZeneca’s clinical trial processes, including:
Streamlined Workflows: Reduced administrative burdens, improving trial efficiency by an estimated 35%.
Enhanced Diagnostics: Faster, AI-assisted decision-making for clinicians, leading to better treatment outcomes.
Improved Data Security: Ensured compliance with global pharmaceutical standards.
Personalized Patient Care: Increased patient satisfaction by providing relevant, tailored information and trial options.
Empowered HCPs: Simplified data sharing between patients and healthcare professionals, fostering collaboration and informed decision-making.
Our Stack:
