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MapEnhance

Gain comprehensive insights into patient journeys by integrating multiple specialty datasets for enhanced data-driven decisions.

Solution by Komodo Health
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Overview

MapEnhance provides a comprehensive view of the patient journey by integrating multiple specialty datasets onto Komodo’s extensive data foundation. It streamlines data management by offering access to curated, exclusive data sources through a single contract, eliminating the need for multiple vendor management.

The platform accelerates insights delivery with pre-integrated, fit-for-purpose datasets. It offers a foundation of provider- and payer-complete Mx claims, along with retail, specialty, and PBM Rx claims, ensuring a comprehensive data landscape.

Users can easily layer specialty data sources to gain context and confidence in their data-driven decisions. MapEnhance allows linking the Healthcare Map to additional proprietary sources using de-identified tokens, enhancing data connectivity.

MapEnhance builds on Komodo’s data foundation to deepen patient journey insights, providing answers previously unattainable. The specialty data products are meticulously de-duplicated, cleaned, formatted, and standardized, covering lab, clinical encounters (EHR/EMR), race and ethnicity, mortality, and more.

Additionally, specialized data assets such as genomics and oncology EMR are available to enhance patient cohorts within the Healthcare Map.

MapEnhance replaces fragmented marketplace datasets with a unified solution, offering multidimensional insights and improved patient journey contextualization. It refines patient segmentation for targeted oncology treatment by integrating biomarker, demographics, and claims data.

It also enhances understanding of patient journeys across different races and ethnicities, informing clinical trial strategies and inclusion/exclusion criteria. Furthermore, it supports real-world evaluations of progression-free survival following oncology therapy initiation.

Meta

Category
Clinical Data Integration
Field(s)
Clinical & TrialsOmics & Data Analysis
Target user(s)
Bioinformatician / Data ScientistClinical / Diagnostic Professional
Tag(s)
Drug Discovery