EHRs and EMRs play different roles in healthcare technology. Learn how they impact interoperability, care coordination, patient engagement, and why modern platforms extend beyond the clinical record.
Electronic health records (EHRs) and electronic medical records (EMRs) are both foundational pieces in a complete healthcare platform, but they are two different types of records.
The difference between EHRs and EMRs has a real-world impact on how you manage data, ensure interoperability, and deliver personalized, coordinated care. Understanding the distinction helps you deliver a seamless healthcare experience.
In this article, we'll discuss the distinct roles each plays in modern healthcare. We'll also explore how organizations are building on their existing EHR foundations with complementary platforms — such as Agentforce Health — to support care coordination, engagement, and automation that extend beyond the clinical record.
EHRs are digital versions of patients' medical histories that provide a comprehensive, centralized way to store, manage, and share patient information. They may include details like diagnoses, medications, lab results, and treatment plans. EHRs are designed to be shared among healthcare providers, helping improve coordination of care and patient outcomes.
What EHRs do well:
EHRs can be used in a variety of ways for multi-practice or enterprise care coordination. For example, EHRs can be used to create a unified patient record accessible to authorized providers, helping provide a complete picture of a patient's history. This unified patient record, combined with real-time data access, ensures all care team members are informed and aligned, helping to reduce unnecessary tests and medication errors.
On an organizational level, EHRs help streamline workflows and operations by integrating scheduling, standardizing documentation, and facilitating telehealth services. EHRs can also improve patient-centered care by using a patient experience platform to develop and manage care plans tailored to each patient's unique needs. EHRs can also make it easier for all providers involved in a patient's care to communicate and collaborate.
On a larger scale, EHRs play a crucial role in supporting population health management by providing data-driven insights, improving communication, and supporting targeted interventions. EHRs make it possible to gather and study anonymous patient information to spot health patterns, gaps in care, and where support is needed most in certain communities. This insight helps public health teams take action — like launching prevention programs or directing resources where they'll have the biggest impact.
EMRs are essential tools for solo practices, helping to manage patient data and streamline workflows. As digital versions of a patient's chart, they store a comprehensive history of a patient's medical and treatment information within a single healthcare provider's practice. They include details like diagnoses, medications, allergies, test results, and treatment plans. EMRs improve efficiency, accuracy, and coordination of care by making patient information readily available to authorized users.
EMRs have some limitations, particularly regarding data sharing. Key challenges include interoperability issues, security concerns, and the potential for errors or incomplete data. Different healthcare providers and organizations often use different EMR systems, making it difficult to share data seamlessly. This can lead to fragmented information and delays in patient care. The absence of universal data standards makes it harder for various systems to communicate and exchange information effectively. And without a seamless data exchange, healthcare professionals may need to manually re-enter data from one system to another, which can be time-consuming and prone to errors.
While both EMRs and EHRs store digital patient records, the key difference has to do with interoperability. The following table provides a more complete breakdown of the main differences between the two.
| Category | EMR (Electronic Medical Record) | EHR (Electronic Health Record) |
| Interoperability | EMR (Electronic Medical Record) Typically siloed within one provider or practice | EHR (Electronic Health Record) Designed to be shared and move with the patient to other healthcare providers (specialists, hospitals, labs, etc.) across different organizations. |
| Scalability | EMR (Electronic Medical Record) Best suited for single-practice or small group use | EHR (Electronic Health Record) Built to support enterprise and multi-organization care models |
| Cost | EMR (Electronic Medical Record) Lower initial cost, but may require add-ons for data sharing | EHR (Electronic Health Record) Higher upfront investment, but greater long-term value through connectivity and extensibility |
| Compliance | EMR (Electronic Medical Record) Meets basic regulatory requirements (e.g., HIPAA), with limited governance | EHR (Electronic Health Record) Designed for broader compliance needs (e.g., 21st Century Cures Act, ONC interoperability rules) |
| Usability | EMR (Electronic Medical Record) Optimized for internal clinical use, focused on documentation and treatment | EHR (Electronic Health Record) Built for multiple stakeholders, including clinicians, care teams, and patients |
| Patient engagement capabilities | EMR (Electronic Medical Record) Minimal engagement features beyond visit documentation | EHR (Electronic Health Record) Supports patient portals, secure messaging, and access to information, often extended by complementary engagement platforms |
| Care coordination beyond the clinical visit | EMR (Electronic Medical Record) Primarily focused on in-visit documentation and orders | EHR (Electronic Health Record) Enables information sharing across care settings, with coordination often enhanced through systems outside the EHR |
Electronic health records act as the system of record for clinical data, capturing diagnoses, medications, lab results, orders, and documentation generated during care delivery. They are essential for clinical accuracy, compliance, and continuity of care. However, EHRs were not designed to manage every interaction, workflow, or experience that surrounds the patient over time.
Electronic medical records (EMRs), by contrast, typically manage clinical documentation within a single practice or organization. Because EMRs are often siloed and limited in interoperability, organizations using EMRs may rely even more heavily on complementary platforms to connect data across systems and support coordinated care beyond the point of service.
Customer relationship management (CRM) platforms complement EHRs by extending clinical data into operational, engagement, and coordination use cases that occur before, between, and after visits. Salesforce is not an EHR. Rather, it complements EHRs by helping healthcare organizations activate clinical data across teams, channels, and workflows that fall outside traditional clinical documentation.
Healthcare CRM solutions support this model by unifying clinical and non-clinical data into a more complete, longitudinal view of the patient. This may include information from EHRs, EMRs, claims systems, care management tools, and patient-reported sources. By connecting these data points, organizations can better understand patient needs, personalize outreach, and coordinate care across settings.
These platforms are typically designed to support standards-based interoperability, aligning with HL7 and FHIR data models to enable secure data exchange with EHRs and other healthcare systems. This allows organizations to connect data where it lives, rather than duplicating or replacing core clinical systems.
When used together, EHRs and complementary platforms enable capabilities that are difficult to support with an EHR alone:
Together, EHRs and complementary systems support a more connected healthcare model—one where the EHR or EMR remains the clinical foundation, while additional platforms help orchestrate coordination, engagement, and automation across the broader healthcare ecosystem.
Personal health records (PHR) and electronic health records are both digital systems used to manage health information, but they differ in who controls and uses them. PHRs are controlled by individuals, allowing them to store and manage their own health information and share it with caregivers or providers. EHRs are controlled by healthcare providers and used to manage patient information within a specific healthcare setting.
EHR and PHR integration creates a powerful combination that benefits patients and healthcare providers. This integration can improve patient engagement by giving patients secure and convenient access to their health information and allowing secure communication between patients and providers. It also enhances care coordination by ensuring a continuous flow of patient data across different healthcare settings and among multiple providers. EHR-PHR integration empowers patients by giving them a sense of control and allowing them to take an active role in their health management.
As your organization expands and patient expectations evolve, you may be reassessing whether your current EMR system can support long-term operational and clinical goals. While EMRs are effective for managing documentation within a single practice, they often lack the interoperability, scalability, and analytical capabilities required for modern, coordinated care delivery.
EHRs address these limitations by offering a more comprehensive, enterprise-wide solution. EHR platforms enable seamless data exchange across providers, specialties, and care settings—facilitating collaboration, supporting value-based care initiatives, and enhancing patient engagement. For organizations seeking to improve interoperability, efficiency, and compliance, transitioning from an EMR to an EHR represents a strategic investment in both operational performance and patient outcomes.
The decision to move from EMR to EHR should be a strategic one based on a thorough assessment of your practice's current and future needs. If your current EMR is limiting your ability to provide coordinated care, operate efficiently, or comply with evolving regulations, it's likely time to consider making the switch to a comprehensive EHR system.
When evaluating digital record systems, several factors should guide your selection process:
When choosing a digital record system for your medical practice, asking vendors detailed questions can help ensure the system meets your specific needs and budget. It can also help you make an informed decision and avoid potential issues down the line. Some key questions to consider include:
By asking these questions, you can better assess whether a vendor's EHR system is the right fit for your medical practice, ensuring a smooth transition and long-term success.
While EHRs play a critical role in modern healthcare, they are not designed to address every operational or experience-related need. One common challenge is siloed data—EHRs often focus on clinical information within a specific organization, making it difficult to connect with data from payers, community providers, or non-clinical systems. This can contribute to limited interoperability, particularly when coordinating care across settings or organizations.
EHRs also offer minimal patient engagement capabilities beyond basic portals and messaging, which may not support ongoing, personalized interactions across channels. Additionally, EHRs lack a true longitudinal patient relationship view, as they are centered on clinical encounters rather than the full patient journey. These limitations can make it harder for healthcare organizations to proactively manage care, close gaps, and coordinate services beyond the clinical visit—often necessitating complementary platforms to extend EHR functionality.
EHRs form the foundational layer of clinical data, while solutions like Salesforce Health Cloud build upon this foundation by adding robust patient relationship management capabilities
Healthcare CRM software like Health Cloud plays a critical role in unifying patient data within healthcare organizations, which helps improve patient outcomes. Introducing i ntelligent automation and AI-driven insights with a solution like Agentforce can lead to more efficient, personalized, and patient-centric care.
A platform like Health Cloud is designed to support interoperability by aligning its clinical data model with Health Level 7 standards, including FHIR interoperability standards, to provide seamless communication and data exchange with other healthcare systems that also use FHIR.
Other ways Salesforce supports modern healthcare interoperability include:
Choosing between an EMR and an EHR is a critical decision, but it’s only one part of building a technology foundation that can support modern healthcare delivery. EMRs and EHRs play distinct roles, with EHRs serving as the clinical backbone—supporting documentation, interoperability, and compliance across care settings. As care models evolve, however, EHRs are increasingly paired with complementary systems that extend their value.
Patient management platforms help activate clinical data beyond the visit, supporting care coordination, non-clinical workflows, and more consistent patient engagement. AI and automation layers can further enhance this foundation by helping teams identify care gaps, prioritize outreach, and streamline operational tasks. Together, this stack-based approach allows organizations to meet today’s clinical needs while remaining adaptable—supporting scalability, coordination, and better patient outcomes without replacing core clinical systems.
Agentforce Health is not an EHR or an EMR. Platforms like Agentforce Health are designed to complement EHRs by extending clinical data into areas such as care coordination, patient engagement, and operational workflows. The EHR remains the system of record for clinical documentation while Agentforce Health helps activate that data across the broader healthcare ecosystem.
In many cases, yes. EHRs are optimized for clinical workflows and compliance, but they are not designed to manage every interaction that occurs before, between, and after clinical visits. A healthcare CRM helps support non-clinical workflows, longitudinal patient views, and consistent engagement across channels—capabilities that often fall outside the scope of an EHR.
While essential, EHRs can have limitations such as siloed data, constrained interoperability across organizations, and limited tools for ongoing patient engagement. They also tend to focus on episodes of care rather than the full patient relationship over time, making proactive coordination and outreach more difficult. EMRs face similar challenges and are often even more limited in scope as they’re typically used in a single practice and may lack the interoperability needed to share data easily with other providers or care settings.
Healthcare CRMs are typically integrated with EHRs using standards-based interoperability, such as HL7 and FHIR. This allows clinical data to be securely connected to non-clinical systems without duplicating or replacing the EHR, enabling broader coordination and insight. When organizations rely on EMRs, healthcare CRMs can connect to EMR data, helping extend information beyond a single practice to support care coordination, engagement, and workflows across multiple providers or settings.
EHRs are critical for maintaining accurate clinical records, but long-term relationship management—such as tracking engagement history, coordinating services, and managing follow-ups—often requires complementary platforms. EMRs, which are typically limited to documentation for a single practice, are even less equipped to manage patient relationships that extend across providers or care settings. Together, EHRs, CRMs, and AI-enabled tools like Agentforce Health support a more connected, patient-centered model of care.
