Evaluation criteria, hands-on workflow guides, and trend analysis to help clinical teams get more out of their electronic records.
How to size up an EMR before you commit.
A transparent, vendor-neutral framework for evaluating EMR systems across usability, interoperability, support, security, and total cost.
The qualities that separate a strong ambulatory EMR from an average one, from documentation speed to interoperability and patient access.
Spot the EMR usability problems that quietly drain clinician time and create safety risk, before you sign a contract.
Which mobile EMR features actually help clinicians, and which are window dressing. A practical guide to evaluating mobile access.
How to assess EMR vendor support quality and system reliability before you buy, including SLAs, downtime procedures, and escalation.
Step-by-step guides for common EMR tasks.
A step-by-step approach to migrating patient charts to a new EMR without losing data, with a plan for what to convert and what to archive.
Practical, vendor-neutral tactics to cut EMR clicks and documentation time so clinicians spend less time charting and more time with patients.
How to design EMR note templates that speed documentation while keeping notes accurate, readable, and clinically useful.
Proven tactics to increase patient portal sign-up and active use, from enrollment at check-in to clear value and accessibility.
A practical post-go-live checklist for verifying EMR data quality, from migrated records to coded data, so problems are caught early.
Designing clinical and front-office workflows that hold up.
How to design a front-desk EMR workflow that speeds check-in, verifies coverage, and sets the rest of the visit up to run smoothly.
How to design charge capture and coding workflows in the EMR so documentation supports clean claims and fewer denials.
Design a closed-loop lab workflow in your EMR so orders, results, and follow-up never fall through the cracks.
Build referral and care-coordination workflows in your EMR that track every referral to completion and share the right clinical information.
How targeted EMR optimization, from inbox management to template cleanup, can reduce documentation burden and clinician burnout.
What is changing in clinical documentation and interoperability.
How AI scribes and ambient documentation tools work, what they can and cannot do, and what to consider before adopting one.
Why practices are moving to cloud-based EMRs, the trade-offs versus on-premise, and what to evaluate before making the switch.
A plain-language explanation of health data interoperability and TEFCA, the framework for nationwide health information exchange.
What the information blocking rule means for practices and patient access to records, including exceptions and practical compliance.
How speech recognition fits into clinical documentation, where it excels, its limitations, and how it compares to ambient AI scribing.