With clinicians spending nearly half of their workday (49%) on EHR and administrative tasks—compared to only 27% on direct patient care—EHR systems often hinder, rather than support, efficient clinical workflows. Over time, EHR system inefficiencies lead to clinician workarounds that can slowly diminish care quality, documentation accuracy, and provider satisfaction.
By identifying clinical workflow warning signs and focusing on targeted, system-level improvements, healthcare organizations can realign their EHRs with day-to-day clinical practices and restore provider trust in IT. Let’s take a closer look at how to recognize when workflows are compromising care quality, and how IT leaders can move beyond surface fixes to address root causes.
Why Workflow Issues Signal Deeper System Problems
Workflow complaints often surface long before deeper EHR issues are recognized. When clinicians report slow documentation, extra clicks, or inefficient screens, IT leaders commonly respond with familiar fixes, such as additional training or refreshed tip sheets. While these steps help when true user error is involved, they don’t resolve problems rooted in the EHR system itself.
When workflow frustrations persist even after training, they often point to system-level issues such as performance bottlenecks, poor interface design, misaligned system build, or configuration problems. Distinguishing between user mistakes and technology-imposed workarounds is critical to reducing the strain that poorly optimized EHRs place on providers.
Four Ways EHR Systems Create Harmful Workflow Inefficiencies
- Performance Issues Create Documentation Delays
- The problem: Slow page loads, system lag, and intermittent freezes prevent clinicians from accessing documentation screens or entering information in real time. These performance bottlenecks often stem from server strain or inefficient EHR configurations that cannot keep up with clinical demand.
- Workflow changes it forces: When the EHR system fails to maintain performance, clinicians adapt by taking notes on paper during patient encounters or delaying charting until the system stabilizes. Others may rush through screens, skip structured fields, or batch-document at the end of their shifts.
- Quality impact: These delays increase the risk of inaccurate documentation, potentially affecting clinical decision-making and continuity of care. They also extend charting time, contribute to burnout, and reduce the time clinicians can devote to patients.
- Poor Interface Design Increases Cognitive Load
- The problem: Poorly organized interfaces increase the number of clicks and screens required to complete daily tasks. Issues such as cluttered screens, inconsistent layouts, or difficult navigation force clinicians to spend extra time searching for what they need.
- Workflow changes it forces: Clinicians compensate by creating personal shortcuts or relying on hand-written notes to avoid losing track of information. Some may skip data fields altogether because it’s faster than navigating the interface.
- Quality impact: Inefficient system navigation increases cognitive load amongst physicians, leading to documentation errors, missed fields, and reduced direct patient care time. Gradually, this contributes to burnout and decreased overall EHR usability.
- Alert Fatigue Leads to Ignored Safety Warnings
- The problem: Excessive, low-value, or poorly targeted clinical alerts cause clinicians to encounter pop-ups so frequently that they become desensitized. Over time, this increases the risk that truly important, safety-critical warnings are overlooked.
- Workflow changes it forces: To move efficiently through their workflow, clinicians click through alerts without fully reviewing them or disable notifications when possible. With hundreds of potential alerts a day, many providers assume most are not crucial.
- Quality impact: When critical safety warnings are overlooked, the effectiveness of an EHR’s clinical decision support is diminished. This can contribute to medication errors, missed lab results, ignored allergy warnings, or incorrect dosing.
- Data Fragmentation Scatters Critical Patient Information
- The problem: Fragmented data forces clinicians to hunt across platforms to compile a complete patient picture. When this occurs, it is because key clinical information is siloed across multiple systems that don’t integrate smoothly with the EHR.
- Workflow changes it forces: Providers may open multiple records simultaneously, keep handwritten notes to track missing data, or switch between systems to piece together patient care history.
- Quality impact: These workarounds slow decision-making and allow for critical information to be overlooked. Fragmentation also increases time spent chart-reviewing, reducing availability for direct patient care.
Warning Signs Your EHR Workflows Are Compromising Quality
The following warning signs are critical metrics IT leaders must monitor when evaluating EHR workflow quality.
- Increasing after-hours EHR usage: When clinicians consistently complete documentation in the evenings or on weekends, it often signals inefficient workflows or poor usability during patient-facing hours. Excessive “pajama time” directly contributes to cognitive overload and fatigue, increasing the risk of clinician burnout, which often stems from misaligned EHR workflows.
- Rising help desk tickets about specific workflows: An increase in help desk tickets tied to clinical workflows indicates systemic design flaws rather than isolated user issues. Recurrent problems force clinicians into time-consuming troubleshooting instead of patient care, contributing to EHR-related burnout.
- Workaround adoption becoming standard practice: When informal workarounds become normalized amongst end users, this signals that the EHR doesn’t support day-to-day clinical practice. While these behaviors may improve short-term efficiency, they introduce safety risks and data integrity issues. Over time, reliance on workarounds obscures true workflow problems, making optimization efforts more difficult and costly.
- Documentation quality declining: Declining note quality often reflects documentation burden rather than clinical intent. Clinicians under time pressure may prioritize speed over accuracy, increasing the likelihood of incomplete, outdated, or misleading documentation.
- Provider satisfaction scores are dropping: Falling provider satisfaction scores related to the EHR are a leading indicator of misalignment between clinical workflows and system design. If unaddressed, sustained dissatisfaction can drive disengagement, reduce productivity, and ultimately lead to higher clinical turnover.
Moving Beyond Training: System-Level Solutions for IT Leaders
To meaningfully reduce EHR-related burden, IT leaders must move beyond training to also focus on technical optimization. This will ensure EHR systems align with day-to-day clinical practice.
- Prioritize Performance Optimization
- Actions for IT leaders: System responsiveness often diminishes as EHR databases grow. To mitigate this problem, IT leaders should prioritize archiving or purging inactive patient records to improve EHR performance. Additionally, when system issues surface, be sure to engage clinicians early to understand where slowdowns most impact care delivery.
- Why it matters: Poor system performance forces clinicians to spend time waiting on the system rather than caring for patients. Reliable, responsive systems are foundational to provider satisfaction, patient safety, and operational efficiency.
- Conduct Workflow-Specific Usability Assessments
- Actions for IT leaders: Move beyond generic usability feedback by evaluating the EHR within specific clinical workflows, roles, and specialties. Also, consider shadowing or conducting a task analysis to identify unnecessary steps and clicks in the end-user process. Additionally, partner with clinical leaders to redesign workflows and configurations that better reflect real-world care delivery.
- Why it matters: Usability issues are rarely uniform across departments; what works for one specialty may hinder another. Targeted assessments enable more precise optimization and prevent blanket changes that fail to address the root causes of inefficiency.
- Optimize Alert Configuration
- Actions for IT leaders: Be sure to regularly review alert volume and relevance to eliminate low-value or redundant notifications. Tailor alerts by role, specialty, and care setting to ensure they are actionable and clinically meaningful.
- Why it matters: Poorly designed notifications contribute to alert fatigue, increasing the risk that critical warnings are missed. Thoughtful alerts improve clinician focus, decision-making, and trust in the EHR system.
- Improve System Integration
- Actions for IT leaders: Strengthen interoperability between the EHR and ancillary systems to streamline data exchange. Select an effective integration tool that consolidates disparate patient data into a unified view, enhancing care quality.
- Why it matters: Fragmented systems force clinicians to navigate multiple platforms and re-enter information, increasing inefficiency and risk of errors. Strong integration supports the tasks clinicians perform most often and enables more informed clinical decisions.
How Med Tech Solutions Addresses EHR Workflow Challenges
As an experienced healthcare IT partner, Med Tech Solutions specializes in technical EHR optimization by addressing the underlying performance, configuration, and integration challenges that inhibit efficient clinical workflows. Rather than relying on training alone, MTS’ EHR Optimization services help improve responsiveness, configure systems, integrate data, align workflows, and ensure systems function reliably in the clinical environment. With deep expertise across NextGen, eClinicalWorks, Epic, Oracle Cerner, MEDITECH, athenahealth, and Veradigm, we support organizations ranging from hospitals and health systems to community health centers, FQHCs, rural health providers, and physician practices.
Are inefficient EHR workflows affecting your clinicians? Let’s discuss strategies tailored to your organization’s specific challenges.