# Healthcare Data Migration: EHR & EMR Best Practices > Learn the common challenges of EHR and EMR data migration, including medical data migration planning, testing, validation and security. Source: https://www.softwareadvice.com/resources/ehr-emr-data-migration --- 1 million+ businesses helped. Get advice Get Free Advice [Home](https://www.softwareadvice.com/) / [Resources](https://www.softwareadvice.com/resources/) / EHR and EMR Data Migration: Common Challenges and Best Practices # EHR and EMR Data Migration: Common Challenges and Best Practices By: [Laura Burgess](https://www.softwareadvice.com/resources/author/laura-burgess/) on June 18, 2026 On this page: - What is EHR and EMR data migration? - Why healthcare organizations migrate data - Common EHR and EMR data migration challenges - Patient data security and compliance considerations - EHR and EMR data migration best practices - Testing and validating migrated data Whether your practice is planning an EMR data migration, an EHR data migration or consolidating information from multiple [medical systems](https://www.softwareadvice.com/medical/practice-management-software-comparison/), transferring patient data requires more than simply exporting and importing data. Without proper validation, practices encounter missing patient information, broken integrations, and data quality issues that can take weeks or even months to identify and correct. Before an EHR or EMR data migration begins, teams often need to review record quality, determine which patient information should be retained and establish how clinical data will be mapped into the new system. In this article, I’ll explain common challenges in healthcare data migration and share best practices for preparing, testing, and validating records throughout the migration process. The insights are based on conversations with medical software buyers and survey data collected by Software Advice.  ## What is EHR and EMR data migration? EMR data migration is the process of transferring your clinic's internal, proprietary patient charts from your old database to a new one. EHR data migration goes a step further, moving not just those internal charts, but also the underlying secure communication pathways that allow your software to share records externally with outside laboratories, hospital networks, and specialists. If you're still evaluating systems before beginning a migration project, I recommend you read my guide to the [differences between EHRs and EMRs](https://www.softwareadvice.com/resources/ehr-vs-emr-whats-difference/). Before planning an EHR or EMR data migration, it's important to understand that different types of patient information have different storage requirements, validation needs and migration workflows. The table below highlights common patient data categories and the key considerations practices should review during migration. **How different types of patient records behave during an EHR or EMR migration** **Clinical data**  **What it actually is** **How it affects your team on day one** **Patient demographics** Basic text info (names, dates of birth, addresses, insurance IDs). This is the easiest data to move. As these fields look the same in almost every system, your front-office staff won't have to manually retype basic patient profiles. **Clinical chart notes** Past progress notes, typed exam histories, and uploaded doctor letters. Often transferred as attachments or PDFs rather than structured data. Clinicians may need additional clicks to review historical notes after go-live. **Allergy and medication lists** Active prescriptions and patient allergy flags linked to safety alerts. These records rely on standardized clinical codes (e.g., ICD-10 or RxNorm). Mapping errors can affect safety alerts, medication histories or drug interaction warnings. **Historical lab results** Numeric test values, lab dates, and standard reference ranges. Lab values must retain their original units (e.g., mg/dL). If a decimal point shifts or a unit drops off during the move, clinicians could misinterpret a historical lab trend. ## Why healthcare organizations migrate data Healthcare organizations typically migrate data when existing systems can no longer support their clinical, administrative, or reporting requirements. Common drivers include replacing an outdated EMR, consolidating records after opening a new location, or adopting an EHR with upgraded patient portal, billing and interoperability capabilities. As practices grow, older systems struggle to support automated scheduling, electronic prescribing, patient self-service tools or integrations with laboratories and other healthcare applications, which prompts healthcare organizations to evaluate alternative platforms. A common trigger for healthcare data migration In my analysis of more than 4,600 medical software buyer conversations**\***, 27% of organizations cited **functionality limitations** as a key challenge when evaluating software options. Many healthcare organizations are not migrating data simply to replace technology, but because their existing systems can no longer support the way they want to deliver care, manage operations or engage with patients. While the reasons for medical data migration vary, the goal is usually the same: ensuring patient is transferred accurately from one system to another. Before a new platform can go live, practices need to determine which records should be retained, validate data quality, and establish how information will be mapped into the new EHR and EMR environment. These requirements are also the source of many of the most common data migration challenges. ## Common EHR and EMR data migration challenges To help you plan healthcare data migration, I recommend evaluating the most common issues before the transfer begins. In my experience reviewing medical software buyer conversations, the biggest challenges usually stem from how patient information is structured, stored, and translated between systems. Common healthcare data migration challenges include: - **Data mapping errors:** Patient information may be stored differently across systems. For example, an older EMR might store allergy information as free-text notes, while a newer EHR requires standardized dropdown selections. If records aren’t mapped correctly, important clinical information is lost, truncated or placed in the wrong field. - **Inconsistent data quality:** Duplicate patient records, incomplete demographic information, outdated insurance details, and missing documentation often become more visible during a data migration project. Migrating poor-quality data into a new system can create long-term operational problems. - **HL7-to-FHIR conversion challenges:** Many healthcare organizations are migrating from legacy HL7-based systems to platforms that support FHIR standards. Converting older message formats into modern, structured data models can be complex, particularly when practices must preserve historical records and meet interoperability requirements. - **Clinical workflow disruption:** Even when the data transfers successfully, providers may discover that chart notes, lab results, medication histories, or immunization records appear differently in the new system. This can temporarily slow documentation workflows and increase staff training requirements. - **Testing and validation gaps:** One of the most common EHR data migration mistakes is assuming transferred records are accurate without thorough validation. Practices should test patient demographics, medications, allergies and billing codes, and historical clinical data before go-live. ## Patient data security and compliance considerations EHR and EMR data migration projects must balance two priorities: accurately moving patient records while maintaining security and compliance standards throughout the transition. Data from our [2026 Medical Software Trends](https://www.softwareadvice.com/resources/2026-medical-software-trends/) report shows that 27% of independent providers identify cybersecurity as their leading software-related challenge**\*\***.  Moving thousands of sensitive records naturally exposes temporary vulnerabilities, making strong security protocols a non-negotiable part of a healthcare data migration project. Practices need to verify who can access patient information, maintain audit trails, validate transferred records, and ensure data remains protected throughout the process. Establishing these controls before go-live helps reduce risk while supporting compliance regulations. ## EHR and EMR data migration best practices I believe successful EHR and EMR data migration projects are built around preparation rather than speed. Before any patient information is transferred, healthcare organizations should establish clear rules for cleaning, mapping, validating, and maintaining records throughout the transition. The following best practices can help reduce migration risks. - **Clean and standardize patient records before migration:** Review duplicate patient profiles, inactive charts, outdated insurance information, and incomplete demographic records, and address them before exporting data. Migrating poor-quality information into a new system often creates more work after go-live. - **Create a detailed data-mapping plan:** Document how patient demographics, clinical notes, medication histories, allergy lists, lab results, and immunization records will be transferred into the new EHR or EMR. This helps prevent information from appearing in the wrong location or in the wrong format. - **Plan for HL7 and FHIR compatibility**: If you're migrating from a legacy platform, determine how historical records and interfaces will be translated into modern interoperability standards. This is particularly important for practices that exchange information with laboratories, hospitals, pharmacies, and specialists. - **Establish a strategy for ongoing data changes**: Patient appointments, prescriptions, chart updates, and lab results continue to be created while a migration project is underway. Create a process for capturing these updates so information isn't missed during the final cutover. - **Define success criteria before go-live**: Decide how you'll measure migration accuracy before transferring live records. For example, validate a sample of patient charts, medication histories, billing records, and laboratory results before approving the transition. If you're planning a broader software transition, [see my guide to medical software implementation](https://www.softwareadvice.com/resources/medical-software-implementation-checklist/) for a step-by-step checklist covering system audits, integrations, security planning, testing, and staff training. ## Testing and validating migrated data Before completing an EHR or EMR data migration, I recommend testing migrated records in a staging environment before moving live patient data. This allows teams to verify that patient demographics, clinical notes, medication histories, billing records, and laboratory results display correctly in the new system before staff begin using it. I also recommend validating a sample of migrated records against the original database to identify missing information, formatting issues, or mapping errors. Resolving these issues before go-live helps reduce disruption and builds confidence among clinicians and administrative staff in the new platform. In my experience, the most successful medical data migration projects treat testing and validation as a critical phase of the process rather than a final checkbox before go-live. Need help choosing between an EHR and an EMR? [Schedule a free call](https://calendly.com/appointments-34/software-advice-appointment?month=2019-11) with a software advisor or [browse our resources hub](https://www.softwareadvice.com/resources/ehr-vs-emr-whats-difference/) for more insights. FAQs **What is EMR short for?** EMR stands for Electronic Medical Record. It is a digital version of a patient's chart used within a single healthcare organization or practice. **What is an EMR in healthcare?** An EMR is a digital record of a patient's medical history, diagnoses, medications, treatment plans, and clinical notes maintained by a healthcare provider. **What is the difference between an EHR and an EMR?** An EMR is designed for use within a single healthcare organization, while an EHR can securely share patient information across multiple providers, healthcare systems, and care settings. **What are the four types of data migration?** The four common types of data migration are storage migration, database migration, application migration, and cloud migration. Healthcare data migration projects often involve a combination of these approaches. * * * ### Survey methodology \***Software Advice reviews data:** Reviews are collected from verified users for individual software products. For this report, we analyzed more than 3,500 phone interactions from June 8, 2025, to June 8, 2026. The findings in this report reflect buyers who contacted Software Advice and may not be representative of the market as a whole. \*\***The 2026 Medical Software Trends survey** was conducted online in September 2025 among 400 physicians in the U.S. employed full-time in medical practices. The goal of this study was to understand the timelines, organizational challenges, research behaviors, and adoption processes of medical software buyers. Respondents were screened to ensure their involvement in medical software purchasing decisions. The study included 134 small practices (1-5 licensed providers), 144 medium practices (6-20 licensed providers), and 122 large practices (more than 20 licensed providers).