Mapping healthcare data can be tedious, so we’ve trained machines to do it while giving you complete visibility and control.
Hakkoda’s ML Classification engine is trained on large healthcare data sets and processes data through three layers of machine learning.
Ampr addresses key healthcare use cases
Save Thousands of Hours
Manually integrating complex healthcare data sets can take hundreds or thousands of hours and leads to costly errors.
Our solution applies three layers of machine learning to accelerate integration and reduce time-consuming manual work.
Dynamic Patient 360
Ampr stitches together your numerous data sources into a single patient view.
Intelligently interpreting relationships between interactions, patients, and physicians, providers gain a 360-degree view of each patient that adapts as your systems change.
Mergers & Acquisitions
Realizing the value of an acquisition requires integrating its data. Unfortunately, it is a messy and time-consuming process, especially in healthcare.
Ampr brings the power of machine learning to integration, lowering cost and increasing speed and accuracy.
Modernizing Data Sharing
Sharing data internally, between organizations, and the Center for Medicaid and Medicare Services (CMS) is a big challenge.
Ampr and Snowflake simplify it. Snowflake enables secure, compliant data sharing, and Ampr maps the shares to your data sets.