Built a secure telemedicine platform to enable virtual consultations between patients and healthcare providers. Features included video conferencing, patient scheduling, digital prescriptions, and EHR integration.
Designed and implemented a robust EHR system to streamline patient record management. Enabled seamless data sharing across departments while ensuring compliance with HIPAA standards.
Developed a custom analytics dashboard to provide real-time insights into hospital operations, patient outcomes, and resource utilization. Enabled predictive analytics for better decision-making.
Delivered a mobile app for patient engagement featuring appointment scheduling, medication reminders, telehealth integration, and secure messaging with doctors.
Integrated IoT-enabled medical devices with cloud-based analytics to monitor patient vitals in real time. Features included alert systems for abnormal readings and data storage for analysis.
Implemented RPA to automate claims processing and medical billing. Reduced human error and improved efficiency for revenue cycle management.
Designed a platform to analyze health data trends across populations, aiding healthcare organizations in identifying high-risk groups and improving preventive care.
Built a compliance management tool to help hospitals and clinics track adherence to healthcare regulations like HIPAA, GDPR, and local laws.
Developed an AI solution to assist radiologists in analyzing medical images, such as X-rays and MRIs, for early detection of diseases like cancer and pneumonia.
Created a centralized platform to manage clinical trial data, participant records, and progress tracking. Ensured data security and compliance with FDA standards.
Built a scalable data warehouse to centralize patient data from multiple sources, including EHR systems, lab reports, and billing records. Enabled faster data retrieval and improved reporting capabilities.
Developed interactive BI dashboards to provide real-time insights into hospital KPIs, patient outcomes, and financial performance. Enabled data-driven decision-making across departments.
Designed a machine learning model to predict patient readmission risks, helping hospitals implement preventive measures and reduce readmission rates.
Created robust ETL pipelines to automate data extraction, transformation, and loading from multiple healthcare data sources into a centralized system.
Leveraged big data analytics to analyze large-scale patient datasets for identifying health trends and optimizing care strategies at population levels.
Implemented data governance policies and tools to ensure compliance with HIPAA and GDPR standards, safeguarding sensitive patient information.
Designed and deployed automated tools to monitor and clean healthcare data, ensuring data accuracy and reliability for critical operations.
Integrated clinical research data from multiple trials into a unified system, providing researchers with a comprehensive view for analysis and reporting.
Developed a healthcare data lake to store structured and unstructured data, enabling advanced analytics and AI-driven applications.
Built an AI-powered tool to analyze patient inflow and optimize resource allocation, including staff schedules and medical equipment distribution.