Table of Content
What Sparked the Adoption of Electronic Health Records?
How EHRs Have Impacted Healthcare Delivery?
Improved Coordination and Communication
Simplified Billing and Healthcare Claim Management
Why Do Businesses Struggle to Manage EHR Data?
Ensuring Compliance and Data Security
Addressing EHR Data Management Challenges: Actionable Solutions
Standardize Data for Uniformity
Improve Data Quality Through Cleansing
Prioritize Data Security and Governance from the Start
Conduct Regular Medical Data Audits
Introduction
By 2021, 78% of office-based physicians and more than 96% of non-federal hospitals had implemented Electronic Health Records (EHRs), according to data from HealthIT.gov—reflecting a consensual shift in how healthcare data should be managed. But why have EHRs become such an integral part of modern healthcare? The answer lies in their ability to centralize patient information and improve care coordination.
However, materializing the above is not as easy as it sounds. EHR data management is a challenge because of the enormous volume and complexity of medical data. We’ll dig deeper into this area and share some actionable fixes to make it easier.
What Sparked the Adoption of Electronic Health Records?
Medical histories and patient records were manually entered into filing systems until a few decades ago, more precisely prior to the 1960s. That sounds like a time-consuming and challenging effort today, now that everyone knows how simple it is to get this information digitally. And it really was difficult. This realization and the growing patient base led pioneers like the Mayo Clinic to transition to electronic health records (EHRs).
The push was further fueled by the inefficiencies of paper records: frequent misplacements, a lack of accessibility across departments, and the inability to analyze data for insights. As healthcare needs became more complex and interconnected, the shift eventually became inevitable.
How EHRs Have Impacted Healthcare Delivery?
Overcoming the most significant shortcomings of manual medical data documentation, i.e., time consumption, resource utilization, and inefficiencies in scaling, EHRs have significantly improved healthcare operations; here’s how:
Easier Access to Patient Data
EHR data brings all medical data—treatment records, histories, past visits, test results, etc. This centralization of data provides easy and secure access to authenticated users, from healthcare professionals to patients.
Improved Coordination and Communication
Centralized access to this data improves communication and collaboration between multiple providers—primary care physicians, specialists, and even health insurance providers. This keeps everyone on the same page, ensuring no tests are repeated and recommended treatment plans are validated.
Enhanced Patient Safety
EHR data with information on drug interactions, allergies/reactions, and missed follow-up appointments enable healthcare providers to make better treatment decisions. This comprehensive data can be used to train complex systems to provide critical alerts and reminders.
Cost and Resource Efficiency
This transition to digital medical records has also reduced operational costs by cutting administrative overhead. Moreover, EHR data has eliminated the need for paper-based documentation, lowering expenses related to printing and storage.
Simplified Billing and Healthcare Claim Management
Accurate and well-managed EHR data also helps streamline revenue management by generating billing codes for treatments and procedures. Additionally, up-to-date patient data allows for real-time insurance verification, allowing institutions to submit claims directly to insurers and facilitating better claim management.
Why Do Businesses Struggle to Manage EHR Data?
While EHR data brings a lot of value, managing it effectively is not very straightforward. There are several areas to cater to, from the massive volume to format inconsistencies and data security concerns. Some of them are mentioned below:
Erroneous Medical Data Entry
Maintaining EHR data requires staff to enter data into the system manually. As you know, manual data entry is prone to inconsistencies and mistakes; it could result in misspelled names, wrong patient IDs, or other incomplete fields. Moreover, reducing errors in EHR data requires keen attention to detail and a lot of time.
Duplicacy of Records
Patients who receive care at multiple healthcare centers or hospitals may end up with repeated records. This duplicity may confuse healthcare providers, especially if these records turn out to be contradicting in nature. For example, a patient might have one record showing an allergy to a specific medication. In contrast, if another record lists it as part of their prescribed treatment, leading to potential errors in care.
Lack of Data Standardization
Different healthcare facilities may use varying data formats, terminologies, and coding systems. This lack of healthcare data standardization makes it difficult to consolidate and interpret data across systems, making data sharing more challenging.
Data Overload
A hospital typically produces over 50 petabytes of operational and patient data annually. It can be quite difficult to manage such large amounts of data.
Reliance on Legacy Systems
Modern EHR data formats may not be compatible with legacy systems. Most legacy systems (those still in use) use proprietary formats, often needing manual re-data entry.
Ensuring Compliance and Data Security
Many organizations also struggle to ensure compliance with industry-specific regulations and requirements such as HIPAA, HITECH, etc., as it requires consistent monitoring.
Addressing EHR Data Management Challenges: Actionable Solutions
Proper healthcare data management and conscious decision-making can help you migrate smoothly by overcoming the above challenges.
Assess your Data
Start by evaluating your current data challenges, whether you’re struggling with increasing data volumes, inconsistent formats, or issues with secure data sharing. This will help you determine an ideal solution specific to your requirements.
Standardize Data for Uniformity
Standardize your data for better interoperability among multiple systems and across different healthcare service providers. Adopt widely used coding systems like ICD, HL7, or SNOMED to create a consistent framework for managing and exchanging information. This way, all involved systems will “speak the same language.”
Improve Data Quality Through Cleansing
Healthcare data cleansing allows you to flag and correct inaccuracies, remove duplicates, and fill in incomplete information. For example, you can use algorithms like fuzzy matching or self-serve deduplication tools to identify repeating records. Another approach is to cross-reference internal records with external databases, such as pharmacy records or insurance systems.
Prioritize Data Security and Governance from the Start
From the very beginning, embed data security and governance practices into your EHR management practices. This involves outlining protocols for data usage & sharing, encrypting sensitive patient data, and establishing clear governance policies.
Conduct Regular Medical Data Audits
Regular medical data audits can help you improve the accuracy, integrity, and completeness of your data. It can help you spot incomplete fields, irrelevant/outdated details, etc. You do this by setting an audit schedule, using tools to scan for anomalies, and validating data quality post-audit.
Implementing the above solutions can be challenging as it requires thorough knowledge and data management expertise, which may not be readily available internally. Even if you have in-house experts, proper planning is still required, and building an effective data infrastructure can take several weeks (sometimes even months).
In such scenarios, it is advisable to outsource EHR data management services. These providers have established workflows and dedicated teams that can assess your healthcare data, devise an action plan, and start working on it end-to-end. If you need assistance with specific tasks, such as improving data quality, you can also opt for data cleansing or standardization services.
The idea is to make EHR data management more efficient, regardless of whether you do it internally or partner with a service provider.
Ending Note
Digitalization has brought immense benefits to healthcare data management. It has centralized medical data, simplified access, and made it easier for healthcare professionals to collaborate. That said, managing volumes of EHR data is a complex task. Addressing these complexities is the only way to maximize its potential in improving overall healthcare operations.
Take a closer look at your current data setup and implement the solutions we’ve explored to improve EHR data management. After all, managing EHR data isn’t just a task; it’s a responsibility that will directly impact the quality of care and the trust patients place in your system for years to come.
