
AI+ for Clinical Research & Evidence-Based Practice
Find, Appraise and Apply Clinical Evidence with AI
The evidence is out there. Now you have a system to find it.
You know the evidence should be driving your clinical decisions — but finding and reading it feels like a second job. The PROBE Protocol (Problem, Retrieve, Oversight, Bridge, Embed) gives you a five-step AI-assisted system for turning any clinical question into an actionable answer. With 32 prompt templates, CASP-based appraisal guides, and a 90-day EBP action plan, this is the book that makes evidence-based practice feel like practice, not research. Built by an AI engineering firm for clinicians who know the evidence matters — and finally have a system to act on it.
- 32 ready-made AI prompt templates: PICO formulation, database search strings, critical appraisal, statistical interpretation, patient communication
- The PROBE Protocol — a five-step AI-assisted EBP cycle from clinical question to embedded practice change
- CASP-based appraisal frameworks for RCTs, cohort studies, systematic reviews, and clinical guidelines
- The PROBE Bridge Applicability Filter — five questions for translating trial evidence to your specific patients and setting
- A 90-day EBP system-building plan with personal, team, and institutional tracks for any clinical role
Clinicians — doctors, nurses, physiotherapists, pharmacists, occupational therapists, dieticians, and other allied health professionals — at any career stage who need to find, read, and apply clinical research evidence in their daily practice. Typically trained in a profession but without a research background; reads occasional papers but struggles with volume, statistical language, and translating findings to specific patients.
Also for:Postgraduate clinical students (MBBCh, MSc, MPhil clinical programmes) who need to integrate EBP skills into clinical training; quality improvement leads and clinical educators designing EBP training programmes; junior researchers moving from bench or lab into clinical settings.
- Formulate precise clinical questions using PICO/PICOS/SPIDER with AI assistance
- Conduct targeted, AI-accelerated searches of clinical evidence databases
- Critically appraise randomised trials, cohort studies, systematic reviews, and clinical guidelines for bias and validity
- Interpret key statistical measures (NNT, RR, OR, confidence intervals) to judge clinical significance
- Translate appraised evidence into practice decisions that account for local context, patient values, and clinical uncertainty
- Diagnostic
- How evidence-ready are you?
- Chapter 1
- AI in Evidence-Based Clinical Practice Right Now
- Chapter 2
- Formulating Clinical Questions
- Chapter 3
- AI-Assisted Evidence Search
- Chapter 4
- Critical Appraisal of Primary Studies
- Chapter 5
- Reading Systematic Reviews, Guidelines, and Meta-Analyses
- Chapter 6
- Understanding Statistics for Evidence Appraisal
- Chapter 7
- Translating Evidence to Your Clinical Context
- Chapter 8
- Navigating Uncertainty and Conflicting Evidence
- Chapter 9
- Communicating Evidence to Patients and Clinical Teams
- Chapter 10
- Building an Evidence-Based Practice System
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm for clinicians who know the evidence matters — and finally have a system to act on it.
Often packaged with this title.
T3-01 · Job SkillsAI+ for Academic Research
T3-83 · Job SkillsAI+ for Systematic Literature Reviews
T3-85 · Job SkillsAI+ for Laboratory Research & Experimental Design
T3-29 · Job SkillsAI+ for Data Analysis
T3-82 · Job SkillsAI+ for Qualitative Research Methods
T3-84 · Job SkillsAI+ for Quantitative Research & Statistics
T3-86 · Job SkillsAI+ for Fieldwork & Ethnographic Research
T3-87 · Job SkillsAI+ for Textual & Discourse Analysis
