| Management number | 231875129 | Release Date | 2026/06/18 | List Price | US$90.00 | Model Number | 231875129 | ||
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You clocked out 47 minutes ago. You're still at the workstation, typing.Recent workforce studies estimate the average RN spends 90 to 150 minutes of every 8-hour shift on EHR documentation, depending on the unit and the EHR. ChatGPT for Nurses is built to give a large piece of that time back, starting on your next shift.This is not a book about the future of AI. It is a working prompt library for the documentation you write today — and it is built to keep you inside HIPAA, inside your facility's policy, and inside your scope of practice.A note on the number 115. Other AI guides advertise 200, 500, even more prompts. A bigger list is not a better tool — it is a longer scroll. Every prompt here is organized by the document you actually write: SOAP notes, SBAR handoffs, charting, discharge instructions, incident reports, care plans. You find the one you need in seconds, not on page 340.What you get inside:- 115 ready-to-paste prompts — 100 daily-use plus 15 high-stakes — covering SOAP and nursing notes, SBAR handoffs, charting, discharge instructions, patient education, incident reports, and care plans.- A 5-layer nursing prompt framework that turns generic ChatGPT output into clinic-ready documentation in about 30 seconds — with a side-by-side before/after so you see exactly why generic prompts fail.- A dedicated HIPAA chapter — not one bolted-on paragraph. All 18 PHI identifiers, a step-by-step de-identification protocol, a one-page AI off-limits rule sheet, and side-by-side examples of what you can safely type versus what you must never paste.- A 5-point verification checklist to run on any AI output before you sign it — because plausible is not the same as accurate, and the difference is your review.- Specialty prompt sets for ICU and critical care, oncology, psychiatric nursing, dialysis, home health, OB, and long-term care — instead of one-size-fits-all "nursing prompts."- Five composite failure cases — drawn from publicly reported patterns — showing exactly how AI documentation goes wrong, and how to catch it before it reaches a chart.- A 4-week implementation plan written for real shift work, not a research sabbatical — start on your next shift, leave on time by week four.This book is honest about limits. It names the situations where AI does not belong anywhere near your documentation, and it never asks you to hand clinical judgment to a tool. Every clinical reference has been cross-checked against ANA, OCR, AABB, and CMS published guidance.It is written by a business operations consultant, not a tech influencer — and it says so plainly. The author is not a licensed clinician, and clinical judgment always stays with the nurse. This is the First Edition; a planned Second Edition will add clinical review and co-authorship by a practicing RN, and First Edition readers receive it as a free Kindle update.If you are tired of being the last car in the parking lot, open Chapter 4 and write a defensible SOAP note in three minutes. The hours are already gone. The next ninety minutes do not have to be. Read more
| ASIN | B0H2QNF982 |
|---|---|
| XRay | Not Enabled |
| Edition | 1st |
| Language | English |
| File size | 452 KB |
| Page Flip | Enabled |
| Publisher | Evan Vale |
| Word Wise | Not Enabled |
| Print length | 132 pages |
| Accessibility | Learn more |
| Publication date | May 23, 2026 |
| Enhanced typesetting | Enabled |
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