Streamlined Data Exchange and AI Insights for Modern Healthcare
AI-Powered System for Laboratory Clients
Industry
Healthcare, Medical Information Systems
85%
faster data access for patients
About the Project
The main goal of the project was to optimize the process of exchanging healthcare data and build a powerful platform to streamline communication between patients and laboratories. We needed to develop a platform that stores data securely and facilitates access to lab results, medical records, and imaging. Our experts were also tasked with integrating an AI-powered chatbot with this system.
70%
increase in patient engagement
Challenge
Healthcare systems often face difficulties trying to access and analyze data stored across different sources. It results in delays and makes it more challenging for patients to get the laboratory data they need. Here are the main issues we wanted to solve:
Building a centralized system to streamline data exchange.
Providing quick access to lab results and medical records.
Offering AI-driven insights to patients to make it easier for them to interpret their medical data.
Approach
Data Integration
Our experts have built a secure system with centralized access to lab and patient data.
AI Chatbot Assistance
We have developed a chatbot to interpret medical data and answer health-related patient queries.
User-Centric Design
We have created an easy-to-navigate interface to help patients access and manage their medical data.
Solution
The project was released in several stages:
- Building a reliable platform to store and access lab results, medical records, and imaging data.
- Integrating an AI chatbot capable of interpreting lab results, answering patient questions, and providing guidance on health-related issues.
- Upgrading the platform by adding multi-language support to meet the needs of diverse populations.
- Streamlining real-time access to our system to data stored in laboratory and hospital databases.
Results
An advanced healthcare platform developed by Crystalised simplifies interactions between patients and laboratories. Its deployment resulted in the following outcomes:
- Data access time was reduced by 85%, allowing patients to receive results quickly.
- Patient engagement increased by 70% due to the implementation of an AI-driven chatbot.
- The number of manual errors was reduced by 50%, which contributed to higher data accuracy.
The platform allows patients to access their health data more quickly. Its deployment helped laboratories to improve their efficiency and service quality.
Technologies
Case Studies
