Emily

Epic is a failure as a basic software in so many ways: First, basic workflow lockouts that punish clinicians for normal human behavior Cannot reopen a chart left open in an exam room after badge out or timeout Cannot seamlessly hand off an active chart between workstations Timeouts force loss of context rather than safe read only continuation Second, scheduling and order rigidity that creates busywork instead of safety Cannot reschedule a surgery once a booking is placed without full teardown Cannot change imaging location without cancelling and reentering orders Cannot modify downstream parameters without triggering cascading rework Simple corrections are treated as high risk events requiring total rebuild Third, absurd interaction costs Dozens of clicks or keystrokes to order routine imaging or labs Excessive mandatory fields unrelated to clinical decision making Forced diagnosis and billing code entry before clinical thought is complete Mouse driven workflows that ignore how clinicians actually think and type Fourth, information retrieval failures Cannot reliably filter notes by specialty or role Progress notes are bloated with copied forward junk Clinically meaningful narrative buried under templated noise Labs displayed as long scrolling lists instead of trend based summaries Fifth, patient list and signout failures Cannot create clean readable patient lists tailored to service needs Cannot generate simple signoff views highlighting problems and plans Workarounds emerge because native tools are unusable Shadow spreadsheets exist because Epic lists are cognitively unreadable Sixth, inbox and messaging dysfunction Cannot limit inbox to messages related to a physician’s own patients Cannot meaningfully filter low value administrative noise Critical clinical messages drowned in refill requests and FYIs Meaningless alerts contribute to alarm fatigue, drowning out actual critical alerts Seventh, performance and reliability problems Typing lag while the system catches up breaks clinical flow Latency increases cognitive load and error risk Eighth, analytics and research failures Operational data is unreliable without massive analyst intervention Extracted data does not reflect clinical reality Research queries require custom builds and months of lead time Clinicians cannot answer basic questions about their own practice Ninth, customization theater Dashboards are technically customizable but practically useless Relevant patient level data cannot be surfaced cleanly Displays optimized for billing metrics rather than care decisions Yes. Epic is really that bad.