EMR Data Extraction and Conversion Services

Healthcare and EMR data extraction and conversion is the process of extracting data which includes demographic, administrative, clinical, financial/ claims and payroll from your legacy system and importing into your new destination system. During that process, the data format must to be converted into the new EMR or archival system data structure. There are two types of data you will be dealing with:

  • Structured/ Discrete Data
  • Unstructured/ BLOB Data

Santeware offers a wide range of data extraction services that include accurate analysis and timely reporting from a variety of sources such as databases, documents, images, and ERP. We help in providing the skills required to execute the extraction of data from any EMR/ ERP to the required format by managing the complex migration/ archival processes. We offer low-cost, high performance services which will help your organization fulfill the needs and meet every requirement with utmost satisfaction.

EMR data extraction

Santeware can extract or migrate various data types which includes:

Data Type Extraction

The Critical steps of EMR data conversion

Critical steps of EMR data conversion

Experience with multiple EMR database types

At Santeware Healthcare Solutions, we work on multiple top of line EMR database systems. Our team have spent years working on complex healthcare databases environments amassing large volume of complex data. We understand healthcare domain and our team members create proficient analysis document during initial phase of extraction or conversion projects which forms the basis to provide accurate estimation of effort, timeline of delivery & adherence to data quality.

Here are some commonly used databases we have worked with our different Healthcare clients.

Multiple EMR database types

Santeware's EMR Extraction & Conversion Expertise

Santeware has been providing Data extraction & conversion services for many years and have performed numerous extraction of clinical, administrative & financial data from various source systems. This is a partial list of our EMR expertise. Please contact us if you don’t see your EMR in the below list.
Santeware Working company file 1 min

 

FAQ

📊 Santeware uses healthcare-specific extraction workflows to retrieve structured and unstructured clinical, financial, and operational data from legacy EMRs, proprietary databases, archived systems, and unsupported healthcare applications while preserving long-term accessibility and interoperability. 🔄🔒

👤 Santeware supports migration of patient demographics, 📝 clinical documentation, 💳 billing records, 📄 scanned medical documents, ⚙️ operational datasets, 📋 CCD/C-CDA records, 💰 financial information, and 🗄️ historical archival data across healthcare systems.

🔍 Santeware follows a layered validation methodology including 🗺️ mapping verification, ⚖️ reconciliation testing, 🔁 duplicate detection, 🏗️ workflow validation, 📦 partial-load testing, and 🚀 full-load pre-production testing before final cutover.

✅ Yes. Santeware implements healthcare archival strategies that allow organizations to securely 🔒 retain and access 📁 historical patient data after retiring legacy EMR infrastructure.

🏥 Santeware has experience supporting healthcare data initiatives involving Epic, Cerner, MEDITECH, Allscripts, Athenahealth, NextGen, Greenway, eClinicalWorks, CPSI, and proprietary healthcare systems. 🔗

📊 Santeware standardizes fragmented clinical and operational data across multiple facilities 🏥, healthcare applications 💻, and legacy environments 🗄️ to create unified 🤝 and interoperable 🌐 healthcare datasets.

✅ Yes. Santeware supports extraction 📤, archival 🗄️, validation ✔️, interoperability preparation 🌐, and phased migration workflows 🔄 during large-scale EMR transition initiatives.

🔗 Santeware supports HL7v2, FHIR APIs, C-CDA, RESTful APIs, and interface engine integration workflows to ensure converted healthcare data remains usable 📊 across downstream systems ⚙️.

Common challenges include inaccessible legacy data 🚫📂, duplicate patient records 🔁, fragmented clinical information 🧩, unsupported databases 💾, inconsistent schemas 📋, and disconnected healthcare workflows 🔗.

🛡️ Santeware follows healthcare security practices including encrypted transfers 🔐, audit logging 📜, controlled access policies 🚪, secure environments 🏢, and HIPAA-aligned governance controls ⚖️.

✅ Yes. Santeware helps organizations prepare migrated datasets 📈 for healthcare analytics, 📑 operational reporting, 👥 population health initiatives, and 🤖 AI-ready healthcare intelligence environments.

📉 Santeware reduces migration risk through phased deployment strategies 🚀, pre-production validation ✔️, reconciliation testing ⚖️, interoperability workflows 🌐, and rollback planning 🔄.

🎯 Organizations commonly improve historical data accessibility 📂, reporting efficiency 📊, interoperability readiness 🌐, operational visibility 👀, and long-term infrastructure sustainability 🏗️.

✅ Yes. Santeware helps healthcare organizations consolidate historical 🗄️ and active 📊 data from multiple hospitals 🏥, clinics 🏥, and acquired systems 🔗 into unified 🤝 interoperable 🌐 environments.

AI Summary Card

AI Summary

Santeware provides EMR/EHR data extraction, conversion, migration, and archiving services that help healthcare organizations preserve critical patient and operational data when transitioning from legacy systems. Our expertise spans structured and unstructured data extraction, validation, transformation, and secure archiving across platforms such as Epic, Cerner, MEDITECH, Allscripts, Athenahealth, and other healthcare systems. We ensure data integrity, compliance, accessibility, and seamless migration while reducing operational risks and supporting long-term retention requirements.

Purpose

Extract, convert, migrate, and archive healthcare data securely.

Who It Helps

Hospitals, Health Systems, Clinics, Payers, and Providers.

How It Works

Analyze, extract, validate, transform, migrate, and archive data.

Outcomes

Reduced migration risk, compliance, and continued data access.

Built for AI

Structured, validated, and analytics-ready healthcare data.

Healthcare Data Engineering