Mitigating Compliance Risk: HIPAA Unauthorized Disclosures Process

Mitigating Compliance Risk: HIPAA Unauthorized Disclosures Process

By Elizabeth McElhiney, MHA, CHPS, CPHIMS, CDH-L, CRIS, CC
Director of Compliance and Government Affairs
Verisma
February 8, 2025

Unfortunately, unauthorized disclosures (UAD) are a reality for today’s healthcare organizations. We’ve all been there – a staff member accidentally mistypes a fax number, or a patient ends up with one page of another patient’s protected health information (PHI) in their mailed medical records. What happens next determines if you have a Department of Health and Human Services (HHS) Office for Civil Rights (OCR) reportable breach on your hands. When notified that PHI may not have been delivered as directed, your compliance team needs to spring into action to mitigate any risk to PHI.

Don’t have a compliance team? Not sure what steps and procedures define your processes for HIPAA unauthorized disclosures? Read on for recommendations and best practices for mitigating compliance risk.

Develop Investigation Protocol

When you are aware of a possible UAD, mitigate the possible risk as quickly as possible. Because we oversee hundreds of millions of record requests annually, our volume is substantially higher than most – and we have a designated Compliance Officer and support team. Therefore, we have developed our UAD Investigation Protocol based on years of experience and countless processed records.
The moment a release of information specialist (ROIS) is aware of a possible incident, he or she has a short amount of time to initiate an incident report and submit it to the Compliance team. In many organizations, employees fear admitting mistakes. Creating a culture of compliance includes reassuring your team, “to err is human and to report is divine.” If your staff isn’t reporting errors to you, it is not because they are not making them, they are not admitting it. Not knowing about an incident is far worse for your organization than being aware and taking measures to mitigate the damage of compromised PHI.

When an incident occurs, we rely on our team to notify us immediately. The Compliance team then begins working the risk assessment right away to research how the situation occurred. It is important to quickly contact the unauthorized recipient and collaborate with them to securely destroy, or return, the PHI. Additionally, to assert a low probability of PHI compromise or harm, a confidentiality statement must be obtained from the unauthorized recipient, outlining the secure destruction and assuring no further disclosure of the information occurs.

It is critical that you take steps to mitigate the possibilities of future UADs. Supervisors need to re-train the ROIS on best practices and auditing procedures based upon the mistake the ROIS made. If an ROIS working at a front desk were to hand one patient another patient’s medical records, you would want to spend time discussing best practices about double checking discharge paperwork off the printer before handed over the counter.

After re-training, the Compliance Officer completes the risk assessment. On the Health Insurance Portability and Accountability Act (HIPAA) Risk Assessment, the Compliance Officer reports whether the PHI has been acquired or viewed, and determines the extent of PHI risk, following federal HIPAA guidelines and state laws. After you are aware there is a possible breach, you have 60 days to complete your investigation, unless your state requires a shorter amount of time.

Violation vs. Breach

UADs typically fall into two categories, violation or breach.

A violation is a UAD with low probability of PHI compromise. If low risk is determined and supported by the assessment, reporting the incident to the OCR and patient is not necessary. For instance, if unauthorized PHI is disclosed to a covered entity, they have a legal responsibility to protect that information. Once the covered entity has destroyed the PHI, there is a low probability of compromise and it is classified as a violation.

If there isn’t low probability of PHI compromise, the UAD is a breach. For example, if you are not able to obtain a confidentiality statement from an unauthorized recipient, there is not a proven low probability of compromise. The breach needs to be reported to the OCR and the patient must be notified, explaining how their PHI was compromised.

According to the OCR, between 2019-2023 there was a substantial 89 percent increase in hacking and a massive 102 percent increase in ransomware. Realizing the agency can issue up to a $50,000 fine per incident with an annual cap of $1.5 million is how healthcare nightmares are made.

ROI Partner

Healthcare providers often face the challenge of managing a high volume of medical record requests, which can be time-consuming and prone to manual errors. Collaborating with a trusted ROI partner transfers the workload to a team of specialists who are dedicated to handling these requests accurately, securely and efficiently – freeing up valuable time for your staff to focus on patient satisfaction.
Verisma’s team of healthcare data experts is equipped to simplify workflows with advanced technology to manage the complexities of HIPAA compliance and mitigate risks associated with UADs. We understand the importance of policies and procedures and have processes in place to protect PHI. Our compliance team can quickly assess the situation, contact unauthorized recipients, and take necessary steps to secure the information.

Ready to reduce workloads and improve patient experience? Contact us today to discuss how we can help.

 

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How Do I Fulfill Continuity of Care Requests?

How Do I Fulfill Continuity of Care Requests?

By Elizabeth McElhiney, MHA, CHPS, CPHIMS, CRIS
Director of Compliance and Government Affairs
Verisma
December 9, 2024

When a patient moves between healthcare providers, their medical information and records often need to follow. Records necessary for care of the patient fall under the treatment provision on the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule and (generally) don’t require an authorization from the patient or their personal representative. But when sharing records with another facility for treatment purposes, what and how much should you disclose?

What’s Transfer of Care?

While a Continuity of Care request is often a patient travelling between providers, the patient remains actively involved with both organizations. Consider a patient moving between a primary care physician and a cardiologist. It’s important for both providers to know what the other facility’s treatment of the patient entailed. So, they may submit a Continuity of Care request to obtain the records from the other provider.

A Transfer of Care request is different. In a Transfer of Care, the patient is transferring who’ll provide his or her care from one provider to another, and there’s no intent for the patient to return to the originating organization. Transfer of Care requests happen most often when the patient has moved and established care with a new provider.

Minimum Necessary Standard

The minimum necessary standard of the HIPAA Privacy Rule requires a provider to disclose the minimum amount of information be disclosed to accomplish the intended purpose. However, the minimum necessary standard isn’t required to apply to provider-to-provider requests for treatment purposes. Providers are permitted to request and disclose the amount of PHI necessary to treat a patient. The releasing provider is permitted to rely on the requesting provider’s judgment about what’s the minimum amount of information needed. Even though minimum necessary may not be required for Continuity of Care or Transfer of Care requests, the framework can serve as a best practice to get the most meaningful information to another provider.

When a provider receives hundreds of pages of medical records, it’s burdensome for them to sort through the information and determine what’s needed. The electronic health record (EHR) can be filled with “note bloat” and templated, duplicative information. For Continuity of Care purposes, most providers only need the most recent records of a patient. Sending all records for Continuity of Care requests can be a waste of time and resources. Applying the minimum necessary standard to Continuity of Care and Transfer of Care requests allows providers to receive the most pertinent information often on the first request. Of course, if the requesting provider needs more records, a second release of information (ROI) can occur with the transfer of the additional records.

Creating a Continuity of Care Policy

It’s important healthcare organizations create policies and procedures remaining consistent when applying standards like the minimum necessary. This can be done through a general ROI policy or within linked procedures and workflows. In either case, when your organization implements the minimum necessary standard for Continuity of Care or Transfer of Care requests, you should outline what factors are considered to limit the number of pages or information initially disclosed.

These factors could include, but aren’t limited to:

  • An understanding with the receiving practice on what they want to receive
  • Patient age
  • Patient condition
  • Size of the medical record
  • Organization’s EHR solution
  • The specialty of the provider

If your organization decides to limit the information initially sent to the requesting provider, it’s critical you make the receiving facility aware not all the information has been sent. This can be incorporated through a cover letter indicating the most recent records have been sent and include instructions on how the provider may request additional records if needed.

Release Record Requests to a Partner

If you find Continuity of Care, Transfer of Care, and all other record requests take too much of your staff’s valuable time, consider releasing this administrative burden to a partner. Verisma processes hundreds of millions of record requests annually and is an industry-leader with the highest accuracy rate. If you need to focus more on patient care, request a demo today to see how we can help.

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Working With a Healthcare-Focused Data Migration Services Provider

Working With a Healthcare-Focused Data Migration Services Provider

By Olah, a Verisma Company

October 31, 2024

While there’s no shortage of vendors who can help you migrate data, many aren’t well-versed in the complexity and regulatory requirements of handling health data. Yet, inaccurate or incomplete data has a profound, long-term impact on your organization’s ability to stay compliant and deliver high-quality healthcare services.

Let’s explore why you should partner with a healthcare-focused data migration services vendor to support your cloud data migration initiative, mitigate risks, and enhance data quality management.

 

Vendor Capabilities to Prioritize When you Migrate Data

A healthcare-focused data migration services vendor helps you address various healthcare data management challenges, such as unifying data from disparate sources and in multiple formats while ensuring regulatory compliance throughout the data lifecycle. It brings the following solutions and expertise to the table:

  • Customizable data migration services to meet your specific needs
  • Experience with electronic health records (EHR) and other health information systems
  • Expertise in handling EHR data structures and standards
  • Knowledge of HIPAA, other regulatory requirements, and data retention policies
  • Scalable solutions to handle the volume and complexity of healthcare data
  • Strong data privacy and security measures

How to Partner With a Healthcare-Focused Data Migration Services Provider

A successful partnership with a data migration services vendor is a two-way street. Here’s how to collaborate with your vendor to migrate data successfully and modernize your healthcare organization:

  1. Articulate expectations at the start of the project. Ensure your vendor understands the purpose and expected outcomes of the data migration project. Ask the vendor to be clear about what it can and cannot achieve within your given time frame and budget. If you need assistance with non-technical aspects of data migration (e.g., staff training or change management), it’s best to know up front whether your vendor can provide the support.
  2. Create a project plan to migrate data. Work with your data migration vendor to establish clear objectives, scope, and a realistic timeline so you can effectively manage expectations and project milestones.
  3. Design a strategy. Convey the core data elements you need for continuity of care and compliance. Ask your data migration vendor to articulate how it will map this data and handle complex structured and unstructured EHR data. Align on your approach to clinical data management and how your data will move from the old system to the new one using HIPAA-compliant methods to preserve privacy and security. Your strategy should also identify potential risks and mitigation strategies (e.g., inconsistent data formats or data quality issues).
  4. Determine cloud vs. hybrid approach. Will your migration strategy be cloud-based or hybrid? According to a  2023 HIMSS Analytics Report, 78% of healthcare organizations have either completed a cloud-based migration or are migrating their data to the cloud. Your vendor should help you consider the pros and cons of cloud data migration.
  5. Consider legacy data. Your strategy should address what data you intend to archive and why. Archiving your data can reduce the volume of data to migrate, ensure optimal system performance, and lower data migration costs. It can also protect you against data breaches that cost organizations nearly $11 million on average. A healthcare-focused data migration services provider can offer best-practice strategies for handling legacy data.
  6. Align on data governance. Agree on data cleansing criteria with your vendor before data migration begins. Defining data quality management metrics is easy when partnering with a healthcare-focused data migration services vendor that already understands the importance of accurate, complete, and timely data in healthcare.
  7. Provide necessary access and resources. Your vendor will need access to all data you plan to migrate. Prepare an inventory of your data assets and storage systems. This information streamlines the process for providing your data migration services vendor with necessary access.
  8. Communicate consistently. As you engage end users and solicit feedback, pass this information to your data migration services provider. Likewise, your vendor should provide regular updates and keep all stakeholders informed.
  9. Perform thorough testing and measure performance. Validate the data post-migration to ensure your vendor has transformed and transferred the data correctly. Also, monitor performance with pilot and incremental testing to improve data quality management. These strategies allow you and your vendor to identify potential problems and make targeted adjustments. When you work with a healthcare-focused data migration services vendor, they already have ongoing testing and monitoring in place to mitigate the risks of data migration errors and omissions.

The Right Partner Is Key to Successful Healthcare Data Migration

Partnering with a healthcare-focused data migration services provider helps ensure proper data quality management and sets the foundation for transforming healthcare delivery. Verisma’s enterprise archiving solution, Olah™, helps you enhance data accessibility, improve patient care continuity, promote cost efficiency, ensure regulatory compliance, leverage data analytics, and boost patient engagement. Contact Verisma to learn more about our safe, secure, and fast archiving solution.

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Data Conversion: A Vital Building Block in Healthcare Data Migration

Data Conversion: A Vital Building Block in Healthcare Data Migration

By Olah, a Verisma Company

October 29, 2024

Ask a layperson what healthcare data migration is, and they’ll likely say something like “moving data from one location [or source] to another.” But exactly how (and where) that data moves is more nuanced. For example, if you don’t need to use the data regularly, you might archive it. Doing so gives you continued access for auditing, legal, and regulatory purposes while reducing costs and mitigating risk.

When you require essential information for clinical care as your facility changes software platforms, however, you must ensure the data from your existing system is usable in the new system through data conversion. In an EHR or EMR conversion, providers typically need immediate access to the problem list, allergies, medications, and immunizations (commonly referred to as PAMI data) as well as other important information that supports patient safety, care coordination, and clinical decision-making.

If the PAMI or other crucial data doesn’t align with the data structure in the new system, or the old system includes unstructured data in healthcare (which makes integration more complex), data conversion transforms it so it’s functional, explains Madelaine Yue, vice president of solutions delivery at Experis Health Solutions, a Verisma partner. Madelaine and her colleague Ayesaan Jude Rebello, solutions director of process improvement, spoke with us about some of the common considerations and challenges with converting data and how to ensure success.
 

Understanding Healthcare Data Conversion Benefits and Challenges

When completed effectively, the conversion of healthcare data contributes to a more seamless patient and provider experience. “It reduces the likelihood of patient safety risks like medication errors,” says Jude, “and boosts provider satisfaction by making it easier to gather information whether it’s in the old system or current system.”

However, you’ll need to anticipate and address potential challenges as well. These may involve problems with your system or internal processes.

One common source of trouble is when the original system’s data structure doesn’t lend itself well to data conversion. For example, EMR conversion may be difficult unless your EMR complies with HL7 and FHIR data standards and includes repeatable, structured data elements.

To address this challenge, create a mapping strategy to translate unstructured data in healthcare into standardized formats that comply with HL7 and FHIR data standards. Then, you should perform data normalization to ensure that all elements are clean, consistent, and fit the standardized schema.

Data conversion can also be difficult when there’s no consistent data capture method to document key elements (e.g., users document data that combines unstructured data in healthcare and discrete fields). To overcome this issue, you may create a standardized schema to map the unstructured and semi-structured data into discrete, structured fields. You can leverage natural language processing (NLP) tools to process unstructured text and extract data elements.
 

Keeping Things Moving: What to Know About Conversion Timelines

Your data migration plan should address the time you anticipate it will take to convert your data. While it’s common for conversion to take approximately six months, this timeline depends on numerous factors, some of which may or may not be under your control. It’s therefore helpful to account for additional time depending on your specific situation. Consider the following:

  • The volume of data you convert. “Organizations participating in value-based care arrangements may want to convert and migrate more than a couple years’ worth of data because they may need access to historical information to support specific quality measures,” says Madelaine. However, it’s a balancing act. “There’s a cost associated with converting all that data,” she adds. “You also don’t want bad data triggering quality measures. Organizations must be tactical in how they approach a data conversion.”
  • Your relationship with the legacy system provider. As you retire legacy systems and migrate your data, your legacy system provider must be on board with releasing data. “Sometimes organizations have to bring legal counsel into the conversation because they have significant difficulties pulling their data,” says Madelaine “If your legacy system vendor puts up walls—even unintentionally—it can throw off your entire timeline.”
  • Resource constraints of a hosted environment. If you use another healthcare organization’s EMR, it’s different from working directly with a software vendor. You’re at the mercy of that organization and its resources (or lack thereof) for ingesting the data during an EMR conversion.
  • Source system delays or the inability to pull data. If you can’t pull the data out of a source system efficiently, your entire data conversion project may take longer. For example, you may face an extended timeline if your source system doesn’t comply with information-blocking regulations.
  • Internal resource constraints for evaluating and validating the data. You must have enough internal resources to assess and validate the data to move into the final stages of the process.
  • Maintaining a single source of truth. Identifying and correcting duplication errors to create an enterprise master patient index (EMPI) is crucial, otherwise the conversion process may become burdensome and time-consuming.
  • Patient matching. If you’re unable to match patients easily across systems, the conversion process may also be delayed.
  • Scope creep. Failing to monitor the scope of a project can be costly, says Jude. “Sometimes additional asks can make things less straightforward and increase the price” in addition to the time it takes to deliver, he notes.

Safeguarding Your Data and Organization During Conversion

Alongside its people, data is one of the most important assets that a healthcare system or hospital holds. Because it’s also highly sensitive and any corruption could be catastrophic, it must be protected during data conversion.
 

Ensuring Data Quality and Integrity

Any degradation of data quality and integrity during data conversion can endanger patient care and your operations and organization’s reputation. That’s why you should dedicate resources (e.g., informaticists or medical records specialists) to the important task of comparing a statistically significant sample of patient records in the source system to the transformed data categories in the new system – with the goal of identifying whether any errors (e.g., specification errors, mismatches, or data gaps) occurred during the data conversion process. Once the destination system ingests the data, it’s important to perform additional spot checks for accuracy.

“We’re currently looking at ways to create a low-cost, automated approach to do a full assessment of the files and not just spot checks,” says Madelaine. “We want to streamline the process and hopefully reduce some of the FTE lift because we know healthcare is really tight on resources.”
 

Following Healthcare Data Protection Best Practices

Data security and privacy are also critical during data conversion. One best practice for protecting healthcare data is to set up Secure File Transfer Protocols (SFTP) properly, so everyone (including offshore vendors) has proper access to perform file transfers. Another is to ensure your vendor meets security protocols. Ask your vendor to articulate how it ensures HIPAA compliance and healthcare data protection.
 

Heeding Expert Advice: Guidance from a Pro

As you plan for data conversion and migration, Madelaine recommends following these best practices:

  • Have a plan and a strong partner. Converting data is complex, but the right partner(s) can help you simplify the process. Ask lots of questions to understand each one and what it brings to the table.
  • Keep end-users informed. Let users know what data is being converted versus archived and when so that they know how to access the information they need.
  • Keep going, even if you hit a wall. Engage your vendor partners to brainstorm new approaches for data conversion.
  • Reiterate the importance of validation. “The reason you’re converting your data is that you need it to be usable,” says Madelaine. “You do this through data validation.”

Support Effective Data Conversion With a Robust Archiving Solution

Data conversion is a critical step in the data migration process, but it’s just the first of many. During the process, you’ll identify information that should be archived to optimize storage costs, improve system performance, facilitate historical data access, and ensure compliance with data security and privacy regulations.

Verisma streamlines healthcare data migration with Olah™, our simple, fast, and complete enterprise archiving solution. Request a demo to see how Olah can help you modernize your data strategy.

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How and Why to Prioritize Data Integrity When Migrating Healthcare Data

How and Why to Prioritize Data Integrity When Migrating Healthcare Data

By Olah, a Verisma Company

October 24, 2024

Like many healthcare organizations, yours may be embarking on a clinical data migration project to enhance efficiency, modernize your healthcare organization, and leverage the data in new ways.

Unfortunately, moving healthcare data from one system to another isn’t as simple as pressing a button. It requires a multi-step process that prioritizes data accuracy, reliability, and security. You may undermine your efforts if you fail to ensure data integrity.

Before we explore data integrity’s importance, let’s clarify some related and often-confused terms. 

Data Quality vs. Data Integrity

Data integrity is often used synonymously with data quality, even though the two terms are technically distinct concepts.

Data quality considers whether the data is accurate, comprehensive, consistent, well-defined, relevant, and timely. It’s the assurance that the data retains its value to whoever uses it, and it’s widely considered a subset of data integrity.

Data integrity is the measure of data’s reliability and trustworthiness. It ensures that the data hasn’t been corrupted or changed from its original state.

Data protection in healthcare directly impacts data integrity by guarding against threats like hackers accessing and altering the information. When information is private and secure, its integrity is less likely to be compromised throughout the data lifecycle, including during data migration. 

Why Data Integrity Is Essential in Healthcare

Data integrity is important because it impacts every aspect of healthcare provision in the digital health era, starting with clinical decisions and care delivery. Data of poor integrity might lead providers to make false assumptions or draw incorrect conclusions, resulting in unfavorable outcomes or an exacerbation of health disparities.

Data integrity also affects care continuity. Data of high integrity promotes safe care transitions, effective care coordination, and evidence-based decision-making. Additionally, the integrity of data is critical for ensuring regulatory compliance. Healthcare organizations must maintain accurate and reliable data to avoid lawsuits and penalties.

Finally, data integrity helps build trust and enhance reputation management. Data of high integrity is information everyone—including patients, providers, and others—can rely on to foster safe and effective care. 

Challenges With Maintaining Data Integrity in Healthcare

The busy and fragmented nature of health system and hospital operations, massive amounts of data captured in healthcare, and understaffed or technology-deficient departments all contribute to an environment in which data integrity can be difficult to sustain. Providers may document tests and diagnosis differently, creating data quality issues. Manual data entry may cause errors and delays, while data silos and an overly complex data infrastructure can undermine the organization’s ability to put data to practical use. Moreover, legacy systems are vulnerable to cyberattacks, which frequently compromise integrity.

System integration plays an important role in data integrity. For example, a provider may collect high-quality clinical data during an encounter but unintentionally compromise its integrity if the system doesn’t integrate with other software to provide a holistic view of the patient’s history and inform accurate decision-making.

This issue sometimes occurs when organizations implement a new electronic health record (EHR) while maintaining a legacy system that doesn’t integrate with the new EHR instead of archiving the data for easier, safer access. As such, preserving access to integrated archived data is critical for ensuring data integrity. 

How to Ensure Data Integrity in Healthcare

When considering how to ensure data integrity in your organization, you may implement various strategies before, during, and after data migration. For example, before migration, you could:

  • Discontinue using legacy systems to store and manage data. Instead, use a data archiving solution that integrates with your EHR to support the transition.
  • Establish a governance framework. Decide how your organization will collect, retain, use, access, and share data. This framework may include policies, procedures, standards, ownership, decision rights, roles and responsibilities, and accountability related to data management. You may want to think about including guiding principles as part of this framework, such as, “Individuals who create or acquire data are accountable for the quality of that data” or “Data is a strategic asset that has value and risk.”
  • Train employees on ensuring data integrity. Provide training on data entry procedures to reduce errors. Also consider establishing and enforcing data entry policies and documentation best practices. Help employees understand differences in data quality vs. data integrity.
  • Secure the data. Implement strict access controls, adopt comprehensive security measures (e.g., advanced encryption, firewalls, multi-factor authentication, and secure data transfer protocols), and perform frequent vulnerability scans. Establish a comprehensive security policy and provide regular employee training on data security best practices. Finally, partner with data archiving and migration vendors that can help you prioritize data security and comply with all data security standards.

Implement these strategies during data migration to ensure data integrity:

  • Perform extensive testing. Test the system to ensure data transfers correctly without errors and omissions.
  • Use secure data transfer protocols. Implement robust security measures to protect data from unauthorized access that can compromise data integrity during migration.
  • Clean the data. Transform the data into a format compatible with the new system. Cleaning the data may require reorganizing folder structures, renaming files, extracting specific data points, and digitizing information.

After data migration is complete, implement the following strategies:

  • Use third-party data to add context to existing datasets. Integrate data from different sources to gain a unified and consistent view of the information.
  • Properly integrate and configure all analytics tools. Ensure your tools interpret and process data consistently.
  • Perform ongoing data audits. Use various controls, processes, and technologies to maintain data integrity throughout the data lifecycle. Regular data audits can help you identify and rectify issues before they escalate.
  • Maintain audit trails. Periodically review who alters data and why to ensure integrity.

Augment Data Quality and Integrity During Data Migration

Data integrity is critical during data migration. Organizations prioritizing data quality, integrity, and data protection in healthcare will reap the rewards of highly actionable information on which leaders can rely to make accurate decisions.

Olah™ is Verisma’s safe, secure, and fast enterprise archiving solution that helps promote data integrity during data migration. Contact us to see how Olah can help simplify data migration and easily integrates with your new software.

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Data Migration Strategy: 7 Steps to Carry out an Effective Process

Data Migration Strategy: 7 Steps to Carry out an Effective Process

By Olah, a Verisma Company

October 9, 2024

Like any complex process, medical data migration (i.e., the process of moving structured and unstructured data in healthcare from one system to another) becomes less daunting and more manageable when you break it down into smaller steps. A successful data migration strategy is one that incorporates data migration best practices in a way that everyone can understand and embrace.

Simplification is critical because data migrations often occur during times of major transitions—for example, when a healthcare organization implements a new electronic health record (EHR), merges with another health system, or acquires a medical practice. What you don’t want to do is embark on a data migration project without having a clear sense of what you’re trying to accomplish, why, and how you’ll do it. Without a strong healthcare data management plan, you may struggle to set expectations, meet short- and long-goals, and obtain the intended return on investment.
 

Exploring the Importance of Data Migration Strategy

There are several reasons why defining your data migration strategy is beneficial to your facility or organization. Consider the following advantages of a well-thought-out approach:

While each hospital’s data migration strategy may vary depending on the specifics of the data and systems involved, there are several universal steps that apply.
 

Tailoring Your Approach: Essential Actions to Take

While no data migration is the same, they all should involve these steps:

  1. Develop a detailed healthcare data management project plan. Take the time to think through (and document) why your data migration project is necessary, whether the project will include a full or partial migration, the estimated timeframe, key stakeholders and their responsibilities, budget, anticipated challenges and solutions, and tools that will be necessary to execute data migration best practices and automate processes for increased efficiency. This project plan will keep everyone united, accountable, and moving toward the common goal of successful data migration.
  2. Assess and organize the data. In this step, you’ll take a deeper dive into what healthcare data you have and where it resides. You’ll need to review all structured and unstructured data in healthcare systems and go beyond electronic applications to investigate paper-based data sources as well. The goal? To gain a comprehensive understanding of the totality of your data management landscape.During this step, you’ll also ask questions to determine whether retaining any of your data is no longer necessary (potentially leading you to archive it or even destroy it), whether any of the data is of particularly high value (and should thus receive priority migration status), and whether the quality of the data is sufficient.

    Be sure to review all databases, files, and applications that hold healthcare data. If, at any point during the review process, you discover problems with data quality (e.g., missing or incomplete data), you may need to develop data quality standards or use data profiling or data normalization techniques before starting the migration process. Data profiling helps you assess issues with data duplication, inconsistency, and inaccuracy while data normalization ensures data entries are similar across all fields and records, making it easier to find, group, and analyze information.

  3. Perform data conversion, if necessary. Healthcare data—particularly EHR data—comes in different formats. This means you may need to convert everything into a single, unified format suitable for the new system. A singular structure also makes it easier to work with the data moving forward as business goals and data use cases evolve. Data mapping shows the relationships of data elements in different systems and can help you identify precisely where to focus your conversion efforts.
  4. Ensure compliance and security. Use data encryption and secure channels before, during, and after the data migration process to comply with HIPAA and any other state or local requirements. Also be sure to conduct a risk assessment as part of your data migration strategy to identify cybersecurity vulnerabilities and proactively address them for all data in transit and data at rest.
  5. Choose the right tools. Given the volume and complexity of the structured and unstructured data in healthcare systems that your organization may choose to migrate or archive, you’ll need tools to automate certain processes. Automation helps reduce errors and keep your healthcare data management project on track. Any tools you leverage should be healthcare-specific and incorporate data migration best practices as well as the most modern data management techniques to ensure your success.
  6. Validate data in the new system. Once you’ve migrated the data, you’ll need to ensure its accuracy. Why? Even if you don’t notice any obvious problems during migration, this doesn’t mean you can make widespread assumptions about the success of the project. Problems could lurk beneath the surface, and it’s important to recognize and address them immediately. Testing the data post-migration ensures it meets usability requirements and that the new system functions properly.
  7. Prepare for downtime. Even despite your best intentions, downtime during data migration may occur. The good news? There are ways to minimize it, starting with adding safeguards into your data migration strategy. This includes scheduling data migration during off-peak hours, using modern data migration and data archiving solutions, and monitoring the process continuously to detect and respond to issues as they arise. Following the other data migration best practices outlined in this article can also mitigate downtime.

Plan Your Data Migration Strategy Today

Healthcare data migration may seem daunting at first, but having an effective data migration strategy can ease stress. With the right healthcare data management approach, your organization can quickly reap the rewards, including reduced costs, easier access to data, improved backup and disaster recovery, and greater storage capacity. Contact Verisma to learn more about Olah™, our safe, secure, and fast enterprise archiving solution.

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