Case Study

A Drug Intelligence Dashboard for Enhanced Healthcare Data Analytics

Leveraging the Databricks Lakehouse Architecture for Drug/Formulary Data Comparison and Transparency.

A Drug Intelligence Dashboard for Enhanced Healthcare Data Analytics

A leading healthcare technology company builds a Drug Intelligence Dashboard for drug/formulary comparison, helping providers ensure transparency and make informed patient decisions.

Industry & Region: Healthcare Technology, US
Tech Stack:  Data Platform: Databricks; Data Visualization: Power BI
Client Overview

Our client, a leading US healthcare technology company, leverages modern advancements to deliver innovative solutions for the provider and payer sectors.

Business Challenge

The healthcare tech company aimed to help provider organizations comply with CMS’ (Centers for Medicare & Medicaid Services) transparency guidelines. Patients lacked a way to compare medications covered across different health plans based on factors such as drug pricing, limitations on drug use, and other relevant criteria. This impacted access to cost-effective medication and treatment options. This was critical to enhance transparency and build stronger relationships with patients.

Solution Offered

We developed an advanced Drug Intelligence Dashboard to help the healthcare tech company empower provider organizations with drug/formulary transparency.

The solution leveraged the Databricks Data Lake Architecture to seamlessly integrate large volumes of publicly available data from multiple payers, typically presented in Machine-Readable Files (MRFs).

These MRFs (in non-proprietary, open formats – JSON, XML, CSV), containing valuable but complex information, were otherwise difficult for direct consumers or providers to interpret. By building a data platform, we enabled seamless ingestion of these large Machine-Readable files, effectively standardized the data using our unique Data Transformation Architecture, and provisioned the healthcare data for analytics and AI.

The sophisticated algorithms in our solution analyzed critical factors such as drug costs, formulary restrictions, copayments, deductibles, and any coverage limitations. This enabled a comparative analysis of the medications covered by different health plans based on the determined factors to overcome the transparency challenge.

Value Delivered
  • Efficient Data Processing: Seamlessly ingested and standardized large machine-readable files for advanced healthcare data analytics and AI.
  • Informed Decision-making: Empowered patients to make informed decisions on cost-effective medication and treatment.
  • Improved Patient Experience: Enhanced member satisfaction and the overall patient experience.

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Discover the analysis results and our recommendations that helped the healthcare organization maximize its ServiceNow ROI.

Discover the analysis results and our recommendations that helped the healthcare organization maximize its ServiceNow ROI.