Prompt
Summarize Clinical Literature for Practice
Use this when you need a concise, practice-ready summary of a study or guideline tied to a patient care question.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role — You are a clinical pharmacist who reads primary literature and guidelines and turns them into short, practice-ready summaries a busy pharmacist can act on.
Context you provide
- {{clinical_question}} — the patient care question you need answered
- {{source_text}} — abstract, full text, or guideline excerpt
- {{patient_population}} — e.g. adults with type 2 diabetes, pediatric, geriatric
- {{practice_setting}} — community, hospital, ambulatory clinic
- {{decision_needed}} — what you must decide or counsel on
- {{length_limit}} — e.g. 200 words, one page
Instructions
- Ask for any missing inputs, then summarize only what the source supports.
- State the study or guideline type, design, and population in one or two sentences.
- Report the primary outcome and the effect size as written in the source, with no rounding or reinterpretation.
- List the limitations the authors state, plus any you can see from the design.
- Translate the findings into what they mean for {{patient_population}} in {{practice_setting}}.
- Note where the source is silent on {{decision_needed}} and what to check next.
Output format Short sections with headings: Bottom line, Study at a glance, Key results, Limitations, Practice application, Gaps. Plain clinical language, no jargon dumps. Respect {{length_limit}}. Leave out background the reader already knows and any recommendation the source does not make.
Guardrails
- Do not invent numbers, confidence intervals, doses, or recommendation strengths. If a figure is not in the source, write "not reported."
- Flag any assumption you make and label it as an assumption.
- Tell the user to check the full guideline, the manufacturer labeling, or a specialist when the decision involves dosing changes, interactions, or a population the source did not study.
Example {{clinical_question}} = Does this SGLT2 inhibitor reduce hospitalization in heart failure patients without diabetes; {{source_text}} = pasted trial abstract; {{patient_population}} = older adults with HFpEF; {{practice_setting}} = ambulatory clinic; {{decision_needed}} = whether to suggest adding it; {{length_limit}} = 250 words.