Medical App Optimization:A Workflow and Query refinement Project

Dr. Rakan developed an app designed to streamline patient care by taking inventory of patients, tracking medical tasks, logging patient progress, and creating collaborative workspaces where doctors could monitor and coordinate care without relying on excessive paperwork. The app was crucial for ensuring smooth operations in patient care, facilitating real-time communication between doctors, and maintaining comprehensive patient records.

Despite its importance, the app faced significant issues:

Slow Performance: The app was loading slowly, hindering the efficiency of the medical team.

Backend Query Issues: The app was not properly querying the backend, leading to delays and missing information.

Caching Problems: Necessary queries were not being cached efficiently, resulting in repeated data requests and longer load times.

Frequent Crashes: The app was unstable, frequently crashing, and disrupting the workflow of doctors and nurses

Dr. Rakan reached out to me to diagnose and resolve these critical issues. We began with a consultation call where I conducted a thorough assessment of the app’s performance and identified the underlying problems. After our discussion, Dr. Rakan entrusted me with access to the app and the project, agreeing to a budget of $2,000 for the necessary optimizations.

Performance Profiling: A thorough analysis of the app's performance was conducted to identify bottlenecks and areas for improvement.

Backend Query Optimization: Database queries were refined to minimize resource consumption and improve response times.

Caching Implementation: Essential data was cached to reduce the need for repeated database queries and enhance app responsiveness.

Workflow Streamlining: Redundant processes and unnecessary steps were eliminated to optimize the app's overall efficiency.

Code Optimization: The app's codebase was reviewed and optimized to improve performance and reduce memory usage.

Drastic Improvement in Loading Times: The app's loading speed was significantly enhanced, providing a much smoother user experience.

Efficient Backend Querying: Database queries were optimized to execute more efficiently, reducing latency and improving overall performance.

Reduced App Crashes: The frequency of app crashes was significantly reduced, ensuring a more reliable and stable application.

Enhanced User Experience: The optimized app provided a more intuitive and responsive interface, improving user satisfaction.