
Most students are sitting on publishable data without realizing it. Your routine case logs are not just busywork; they are raw material for a PubMed citation if you treat them like a dataset instead of a diary.
You do not need an MD, a PhD, or a biostatistics degree to get started. You need structure, a mentor, and a clear workflow. This article gives you that workflow.
(See also: Busy Schedule, Real Output: Building a Low‑Time Research Plan for strategies on managing research time effectively.)
Step 1: Audit Your Existing Case Logs Like a Researcher
Stop thinking of your case log as “all the patients I saw.” Start thinking of it as “a potential dataset I have not cleaned yet.”
Whether you are:
- A premed with shadowing notes
- A medical student with clerkship case logs in MedHub, New Innovations, or One45
- A scribe keeping detailed encounter notes
You likely already have material that can be turned into:
- A case report
- A case series
- A retrospective chart review
- A quality improvement (QI) project
- An educational research project
1.1 Collect and centralize your logs
Action steps:
- Export everything you can.
- From institutional systems: MedHub / E*Value / New Innovations → export to Excel/CSV if allowed.
- From personal notes: copy from OneNote, Notion, Google Docs, or physical notebook into a digital spreadsheet.
- Create a master spreadsheet (Excel or Google Sheets):
- Columns to start with:
- Encounter ID (just a running number you assign)
- Date
- Service (e.g., IM wards, ED, pediatrics)
- Patient age range (e.g., <1y, 1–5, 6–12, 13–18, 19–40, 41–65, >65)
- Sex
- Main diagnosis (ICD-10 code if possible, or descriptive)
- Secondary diagnoses / comorbidities
- Type of encounter (new consult, follow-up, pre-op, post-op, etc.)
- Key interventions (surgery, procedure, specific medication)
- Clinical outcome (improved, unchanged, worse, died, unknown)
- Any unique feature (“rare side effect”, “unusual presentation”, “diagnostic challenge”)
- Columns to start with:
- De-identify immediately.
- Do not include:
- Names
- Exact dates of birth
- Medical record numbers
- Addresses
- Phone numbers
- Use age ranges and month/year at most if you are pre-IRB and just exploring.
- Do not include:
Your goal at this stage is not perfection. Your goal is to see the shape of your data.
1.2 Scan for publishable patterns
Now, look at your spreadsheet like a researcher:
- Sort by diagnosis
- Do you have several patients with the same uncommon condition?
- Example: 8 pediatric patients with new-onset type 1 diabetes presenting with DKA during COVID waves.
- Sort by “unique feature”
- Any cases with:
- Unusual medication reactions
- Rare complications of common procedures
- An atypical presentation that delayed diagnosis
- Any cases with:
- Sort by service or setting
- Do you see repeated process failures or delays?
- Example: Several stroke consults with delayed door-to-needle times at night.
You are looking for themes that could become:
- Case report – 1 interesting case
- Case series – 3–20 similar cases
- Retrospective study – dozens to hundreds of cases
- QI project – repeated workflow or safety issue
- Educational study – pattern in learner performance, feedback, or simulation cases
Write down 3–5 candidate ideas as clear one-sentence statements:
- “Series of young adults presenting with myocardial infarction and normal coronaries.”
- “Delayed diagnosis of ectopic pregnancy in patients initially triaged as UTI.”
- “Implementation of a simple sepsis checklist in the ED and time-to-antibiotics.”
You now have the raw ideas. Next you must test which are viable.
Step 2: Map Your Cases to the Right Type of Publication
Choosing the wrong format wastes months. Match the idea to the appropriate manuscript type from the beginning.
2.1 If you have 1 powerful case → Case report
Ideal when:
- The diagnosis is rare.
- The presentation is unusual.
- The management strategy is novel or creative.
- There was an unexpected adverse event or drug reaction.
Check against journal scopes by searching PubMed for “[condition] case report”:
- Look at:
- Journal names
- Word counts
- Whether they accept student submissions
Examples:
- BMJ Case Reports
- Cureus
- Journal-specific case report sections (e.g., “Case Reports in Neurology”)
2.2 If you have 3–20 similar cases → Case series
Ideal when:
- You see a pattern in similar patients.
- You can describe:
- Clinical features
- Management
- Outcomes
Examples:
- “Clinical characteristics of 12 patients with vaccine-associated myocarditis.”
- “Outcomes of 15 patients undergoing a new surgical technique at a single center.”
Case series are often easier than full retrospective studies, but still publishable in specialty or regional journals.
2.3 If you have many cases or clear comparisons → Retrospective chart review
Ideal when:
- You have:
- Pre- and post-intervention data
- Two groups (e.g., those who received intervention X vs. those who did not)
- Enough numbers for basic statistics
Examples:
- “Predictors of readmission in 300 patients hospitalized with COPD exacerbation.”
- “Impact of early versus delayed physical therapy on length of stay after hip fracture.”
You will likely need:
- IRB approval
- A faculty mentor
- Basic stats support
2.4 If the issue is process- or safety-related → Quality improvement (QI)
Your logs might reveal:
- Repeated delays in:
- Antibiotic administration
- Lab turnaround
- Imaging
- Common near-miss events:
- Near medication errors
- Handover failures
- Workflow breakdowns
QI projects often follow:
- PDSA (Plan–Do–Study–Act) cycles
- Interventions like:
- Checklists
- Order sets
- Education sessions
Journals: BMJ Open Quality, American Journal of Medical Quality, specialty QI journals.
2.5 If your logs are from teaching or simulation → Educational research
Ideal for:
- OSCE performance logs
- Simulation cases with repeated issues
- Student evaluation data tied to specific patient encounters
Examples:
- “Effect of a new sepsis simulation curriculum on medical student recognition of septic shock.”
- “Impact of feedback timing on diagnostic reasoning performance in senior students.”
Step 3: Find a Mentor and Lock In a Specific Project
You will move 3x faster with a mentor who has published before. The earlier you recruit one, the better.
3.1 Identify realistic mentors
Targets:
- Clerkship director
- Attending you worked closely with
- Research director of your department
- Chief resident heavily involved in QI (for QI projects)
- A senior resident or fellow with recent PubMed publications
How to identify active researchers:
- Search their name on PubMed.
- Scan faculty bios on your school’s website for “research interests.”
- Ask peers: “Who in cardiology/emergency medicine/OB likes working with students on publications?”
3.2 Approach them with a concrete pitch
Do not email: “I would like to do research. Do you have anything?” That shifts the work to them.
Instead, send an email like:
Subject: Student project idea from inpatient case logs – request for guidance
Dear Dr. [Name],
I am a [M2/M3/premed scribe] interested in [field]. I have systematically logged [approximate number] of [type] cases over the last [time period], and I believe there may be a publishable pattern.
One example: [2–3 sentence description of your best idea – e.g., 10 cases of unusual presentation X]. I would like to know if this might be suitable for a [case series/retrospective review/QI project] and whether you would be open to advising me on study design and potential submission.
I can provide a 1-page summary of the cases and potential research questions for your review.
Best regards,
[Name], [school/year]
Bring:
- Your master spreadsheet (de-identified)
- A 1-page summary listing:
- Number of cases per category
- Your top 3 ideas as bullet points
- One or two key references from the literature
3.3 Co-create a narrow, feasible research question
In your meeting, push toward a question that is:
- Focused:
- Not: “Everything about sepsis.”
- Yes: “Time-to-antibiotics and mortality in septic shock patients in our ED.”
- Answerable with your data:
- Do you actually have the variables needed?
- Are important data missing?
- Time-bound:
- What can you collect and analyze in 3–6 months?
Translate your idea into a PICO or similar framework:
- P – Patients: “Adults admitted with diagnosis X…”
- I – Intervention or exposure: “Who received early Y…”
- C – Comparison: “Compared with patients who did not receive Y…”
- O – Outcomes: “Measured by [length of stay, mortality, complication rates].”
Once the question is clear, you are ready for formal research steps.

Step 4: Navigate IRB and Institutional Rules Correctly
You cannot simply publish patient-related data because you have a spreadsheet. Institutional oversight is non-negotiable.
4.1 Distinguish QI, case reports, and human subjects research
Your institution’s IRB or research office will have rules, but general patterns:
- Single case report
- Often considered not human subjects research.
- Many institutions do not require full IRB review.
- Some require a simple “not human subjects research” determination letter.
- Case series
- If there is no hypothesis testing and just descriptive reporting, some IRBs may still treat it like expanded case reports.
- Many now expect at least an IRB determination.
- Retrospective chart review
- Almost always considered human subjects research.
- Typically requires expedited IRB review.
- QI project
- If your primary goal is local improvement, your IRB may categorize it as non-research QI.
- If you plan to publish, many institutions still want an IRB consultation or QI committee approval.
Action steps with your mentor:
- Visit your institution’s IRB website together or alone first.
- Look for:
- “Case report” policy
- “Quality improvement vs research” FAQ
- “Student projects” guidelines
- Look for:
- Decide what category your project falls into.
- Prepare the appropriate submission:
- For case reports:
- Case description
- Confirmation of de-identification
- Plan for consent if needed (some journals ask for patient consent even if IRB does not).
- For chart reviews/QI:
- Protocol document
- Data collection sheet
- Plan for maintaining confidentiality
- Statistical analysis plan (even basic)
- For case reports:
Do not collect or analyze identifiable data for research before IRB approval, unless your institution explicitly allows pre-review feasibility checks on de-identified or aggregate data. Ask your mentor or IRB office directly.
4.2 Build a clean data collection tool
Once you have IRB or formal “not human subjects research” determination:
- Create a data dictionary:
- List every variable.
- Define:
- How it is measured (e.g., systolic BP in mmHg at triage).
- Unit and valid ranges.
- How missing data will be coded (e.g., -9 for missing).
- Set up a secure data capture system:
- REDCap (if your institution has it) – ideal.
- Institutional secure drive with spreadsheet, if approved.
- Pilot-test on 5–10 cases:
- Check:
- Are any variables ambiguous?
- Are you missing crucial information?
- Is data entry too time-consuming?
- Check:
You want data clean enough that basic analysis does not become a nightmare.
Step 5: Analyze and Interpret Without Getting Lost in Statistics
Many student projects fail at the analysis stage because they overreach statistically. Keep it simple and appropriate.
5.1 Basic descriptive statistics usually suffice
For case reports and case series:
- Focus on:
- Frequencies (how often)
- Medians and ranges for:
- Age
- Lab values
- Time intervals
- No need for complex p-values in many cases.
For retrospective observational studies:
- Start with:
- Means and standard deviations for continuous variables (if normally distributed).
- Medians and IQR for skewed data (length of stay, time to event).
- Counts and percentages for categorical variables.
Learn just enough stats to be dangerous in a good way:
- How to:
- Run t-tests or Mann–Whitney U tests
- Run chi-square or Fisher’s exact tests
- Understand odds ratios in logistic regression (with help)
Use:
- Your institution’s biostatistics consult service (often free for students with a faculty sponsor).
- Simple tutorials from:
- UCLA Stats Tutorials
- BMJ “Statistics Notes” articles
5.2 Focus on clinical meaning, not just numbers
Ask:
- Are the observed differences big enough to matter clinically?
- Are there plausible explanations for your findings?
- Do your results align with or contradict existing literature?
Write down:
- 3–5 key numeric findings
- 2–3 possible explanations
- 2–3 limitations (e.g., small sample, single center, retrospective design)
Your discussion section will flow directly from this.
Step 6: Write the Manuscript While the Data Are Fresh
A messy draft that exists is more valuable than a perfect paper that never gets written. Use a template to speed up writing.
6.1 Use a structured outline tailored to your project type
For a case report
- Abstract
- Brief, structured or unstructured depending on journal.
- Introduction
- 2–4 paragraphs:
- What is known about the condition.
- Why this case is unusual or important.
- 2–4 paragraphs:
- Case Presentation
- Chronological narrative:
- Presentation
- Workup
- Diagnosis
- Management
- Outcome
- Avoid extraneous detail not relevant to the key teaching points.
- Chronological narrative:
- Discussion
- Compare with prior cases in the literature.
- Highlight what is new:
- A new association
- An unusual presentation
- A diagnostic or therapeutic pitfall
- Clear take-home messages.
- Conclusion
- 2–3 sentences max.
For a retrospective or QI study
- Abstract (structured: Background, Methods, Results, Conclusion)
- Introduction
- Problem statement.
- Gap in the literature.
- Your specific objective/hypothesis.
- Methods
- Study design (retrospective cohort, QI pre–post, etc.).
- Setting and patients (inclusion/exclusion criteria).
- Data collection (variables, sources).
- Intervention (if any).
- Statistical analysis.
- Ethics/IRB statement.
- Results
- Flow of patients (how many screened, included, excluded).
- Baseline characteristics.
- Primary and secondary outcomes with key numbers.
- Tables and one or two figures if helpful.
- Discussion
- Interpretation of key results.
- Comparison with existing studies.
- Strengths and limitations.
- Implications for practice or further research.
- Conclusion
- Main takeaway in 2–4 sentences.
6.2 Divide and conquer with your mentor
Clarify roles:
- You (student) commit to:
- First full draft of:
- Introduction
- Methods (from protocol)
- Results (text, referencing tables)
- Initial reference search and citation formatting.
- First full draft of:
- Mentor may:
- Refine methods for accuracy.
- Help interpret results.
- Edit discussion for clinical nuance.
Set deadlines:
- Draft sections within 2 weeks of completed analysis.
- Full manuscript edited by mentor within 4 weeks.
- Submission within 6–8 weeks of data lock.
Put the deadlines on a shared calendar.
Step 7: Choose a Journal Strategically and Submit
A good paper in a realistic journal beats a “perfect” paper aimed at a journal that will reject you in 24 hours.
7.1 Use PubMed to reverse-engineer journal selection
Process:
- Search PubMed for papers similar to your project:
- “[condition] case report”
- “[intervention] quality improvement”
- “[topic] retrospective study”
- Record:
- Top 5–10 journals that publish similar work.
- Whether they accept:
- Case reports
- Student or trainee authors
- Visit each journal’s website:
- “Instructions for authors”
- Word limits
- Article types
- Open access fees (if any)
Target journals:
- For case reports:
- BMJ Case Reports
- Cureus
- Specialty journals’ case report sections
- For QI:
- BMJ Open Quality
- Journal of Patient Safety
- Specialty QI journals
- For retrospective clinical studies:
- Regional or national society journals
- Subspecialty journals with a history of trainee publications
7.2 Format ruthlessly to guidelines
Before submitting:
- Adjust:
- Word count
- Abstract structure
- Reference style (Vancouver, AMA, etc.)
- Include:
- Cover letter summarizing:
- The main question
- Why it fits their journal
- Author contribution statement
- IRB or ethics statement
- Conflict of interest and funding disclosures
- Cover letter summarizing:
Ask yourself:
- If I were an overworked editor, could I understand exactly what this paper is about and where it fits in my journal in 2 minutes?
7.3 Respond intelligently to peer review
Expect:
- Minor or major revisions—not immediate acceptance.
- Sometimes a rejection with useful feedback.
When reviews arrive:
- Do not respond immediately. Read once, wait 24 hours.
- Meet with your mentor for a strategy discussion.
- Create a response document:
- For each reviewer comment:
- Copy and paste the comment.
- Write “Response:” and address it explicitly.
- Indicate exactly where changes were made in the manuscript.
- For each reviewer comment:
- Be polite and factual. If you disagree:
- Explain why.
- Back it with data or references.
If rejected:
- Do not scrap the project.
- Use the feedback to improve.
- Identify the next journal on your target list and resubmit after revisions.
Step 8: Protect Yourself From Common Failure Modes
Several predictable problems derail students before they reach PubMed. Prevent them.
8.1 Do not hoard data without action
Trap:
- Months of logging cases and “thinking about” a project.
Fix:
- Within 2 weeks of recognizing a pattern, schedule a mentor meeting.
- Set a hard internal deadline:
- “If this is not IRB-submitted in 6 weeks, I will either:
- Simplify to a case report, or
- Abandon and focus on a different project.”
- “If this is not IRB-submitted in 6 weeks, I will either:
8.2 Clarify authorship early
Awkward but necessary:
- Talk authorship at the first or second mentor meeting:
- Who is first author? (usually the student)
- Who are co-authors?
- What contribution is expected from each?
Use a simple standard like ICMJE criteria for authorship.
8.3 Avoid scope creep
Common mistake:
- Expanding a feasible project into something that requires:
- Complex statistics
- Multiple sites
- Data you do not have
Guardrail questions:
- Can I complete data collection in 1–3 months with my current access?
- Can analysis be done with help from one biostatistician consult?
- Can writing and submission be completed in another 2–3 months?
If not, scale back.
Step 9: Build a Repeatable System for Future Publications
Once you turn one batch of case logs into a PubMed citation, you should not stop. Turn it into a pipeline.
9.1 Standardize how you log cases from now on
Going forward:
- Add research-minded fields to your logs:
- “Potential research flag” (yes/no)
- “Category” (case report / QI / series candidate)
- Brief note: “Why interesting?”
- Review flagged cases monthly:
- With your mentor or alone.
- Decide:
- Combine into a series
- Develop QI project
- Convert immediately to case report
9.2 Create templates you can reuse
Have:
- Case report template in your word processor:
- With headings and approximate word counts.
- Retrospective study template:
- With boilerplate methods language (customized each time).
- Standard IRB protocol outline:
- Background
- Objectives
- Methods
- Data handling
- Ethics
You will cut your future time-to-submission in half.
Take a Concrete Step Today
Open your case logs right now and do a 30‑minute scan for patterns. Pick one diagnosis, filter or sort all entries that mention it, and ask a simple question: “Is there something here that I have not seen described in a typical textbook or lecture?”
If the answer is yes even once, write down that idea as a one-sentence project concept and email a potential mentor before the day ends. That single email is the first real step toward turning your case logs into a PubMed citation.