Primary Objectives:
Management of two medications with comparable therapeutic uses
Integration of pregnancy precautions
Consideration for lactating mothers
Monitoring and mitigation of potential drug-drug interactions
Implementation of dose range checks
Vigilance regarding drug allergies
Challenges to be taken care of:
Inefficient Data Management:
The client struggled with inefficient data management and lacked a streamlined process for extracting, transforming, and loading data(patient records) into their existing analytics system.
Lack of Real-time Alerts:
The absence of real-time alerts and recommendations for alternative medications made it difficult for the stakeholders to rectify treatment-related issues promptly.
High Medication-Related Risks:
The use of high-risk drugs within the healthcare setting increased the complications among patients.
After reviewing the objectives and challenges, our analytics experts identified the need to develop a medication oversight system. This system aimed to manage medications effectively, optimize data processes for better analytics, establish real-time alerts, and manage high-risk drugs within the healthcare IT sector.
Data Validation Framework: Automated data checks, consistency checks, and data profiling were established to ensure data quality and reliability.
Amazon Redshift Usage: Amazon Redshift was employed as the data warehousing solution for scalable and high-performance storage of treatments and medication-related data.
Tableau Integration: Tableau was integrated with Amazon Redshift to facilitate seamless data extraction for visualization.
Alerting Mechanism: An alerting mechanism was integrated into Tableau dashboards to notify healthcare providers of illegal or contraindicated drugs, with recommendations for alternative medications.
Better Medication Safety: The alerting system significantly reduced the usage of illegal and contraindicated medications by 25%, ensuring patient safety and well-being.
Enhanced Decision Support: After implementing the live alert systems in place, involved stakeholders now had access to evidence-based recommendations, ensuring better-informed decisions regarding medication management.
Improved Medication Compliance: Healthcare providers can now track patient medication compliance in real-time, leading to a 20% increase in better outcomes and fewer complications and casualties among high-risk patients.
Efficient Data Management: The ETL process and Redshift data warehousing streamlined data management, making it 30% easier to access and analyze critical medical information.
Cost Savings: By reducing medication errors and adverse events, the client saved substantial costs, estimating a 15% decrease in expenses associated with potential lawsuits, treatment of complications, and prolonged patient stays.
Data Engineering
AI & Machine Learning
By Use Cases
Business Intelligence & Tableau
