Healthcare Informatics: Adv. analytics platform for pharma firm

Healthcare Informatics (DHI) is an advanced analytics platform offered to life sciences companies via a subscription model.

Delivers outcomes insights for comparative analysis of drug efficacy, safety, and therapeutic effectiveness by leveraging de-identified EHR from partnered hospitals

Applies stringent PHI data masking and supports integration with industry-standard healthcare data models

Aggregates and synthesizes longitudinal patient data with minimal distortion for analytical accuracy

Delivers results with a user-friendly visualization portal, tailored to specific therapeutic areas

Client’s Healthcare Informatics (DHI) is an advanced analytics platform offered to life sciences companies via a subscription model. It enables users to access real-world healthcare data and generate insights related to drug performance, safety, and research.

Healthcare Informatics (DHI) allows life sciences companies to access de-identified healthcare data on a subscription basis to gain insights on health outcomes.

These insights enable comparative evaluation of drug efficacy, safety, and therapeutic effectiveness.

The client partners with healthcare providers (hospitals) to source real-world, de-identified EHR (Electronic Health Records) data.

DHI applies strong PHI data masking techniques and supports seamless integration with standard healthcare data models.

The analytics engine aggregates and synthesizes longitudinal patient data with minimal distortion to ensure high-quality analytical output.

Analytical results are provided through an intuitive, visualization-driven portal offered via a fee-based subscription model.

The platform is structured around various therapeutic areas, with separate data consortiums and portfolios aligned to each.

Led and participated in data modeling, technical design, and ETL solution sessions with the client's data-providing partners.

Contributed to understanding and aligning statistical and machine learning algorithm requirements.

Developed technical delivery estimates and schedules, and defined staffing requirements based on project scope.

Ensured timely development and delivery of technical work products with ongoing management and status reporting.

Liaised across all technology streams and therapeutic portfolios for consistent and aligned delivery.

Managed infrastructure and logistical requirements between the data provider and client systems and teams.