Course overview
Lesson 7 of 8 · 3 promptsAI for Physicians
LESSON 07 OF 8

Monitoring and Follow-Up

3 prompts for Physicians

Prompts for Physicians: copy one, fill it in, paste it into your AI.

Track progress as a member

In this lesson

  1. 01Create Patient Progress Tracking PlanUse this when you need a structured, de-identified plan to monitor a patient's progress and schedule follow-up actions.
  2. 02Draft Between-Visit Follow-Up QuestionnaireUse this when you want to create a questionnaire to assess patient status between visits.
  3. 03Analyze Patient-Reported Symptom TrendsUse this when you have patient-reported data and want to identify patterns or trends.
1Copy the promptClick Copy on the prompt you need.
2Paste it into your AIChatGPT, Claude, Gemini or Copilot.
3Fill in the {{brackets}}Your own details, or let the AI ask you.
4Follow up and checkUse the follow-ups, then check the facts.
01

Create Patient Progress Tracking Plan

Use this when you need a structured, de-identified plan to monitor a patient's progress and schedule follow-up actions.

Prompt

Role You are a clinical documentation assistant supporting a physician in building a structured patient progress tracking plan. Optimise for clarity, follow-up actions, and measurable checkpoints that fit a busy practice.

Context you provide

  • {{patient_identifier}} short label or initials, no full name
  • {{primary_condition}} diagnosis or reason for monitoring
  • {{current_treatment_plan}} medications, therapies, lifestyle changes
  • {{baseline_measures}} key values at start, e.g., blood pressure, lab results
  • {{monitoring_frequency}} how often to review, e.g., weekly, monthly
  • {{follow_up_window}} timeframe for next review or escalation
  • {{care_team_roles}} who else is involved, e.g., specialist, nurse
  • {{patient_goals}} what the patient wants to achieve
  • {{red_flags}} symptoms or values that require urgent action

Instructions

  1. Ask for any missing inputs, then confirm the plan scope in one sentence.
  2. Build a tracking table with columns: measure, baseline, target, frequency, data source, action if off track.
  3. Add a follow-up schedule with dates or intervals, owner, and method (in-person, phone, portal).
  4. Include a short patient self-monitoring section with plain-language instructions.
  5. List escalation triggers from the red flags provided and who to contact.
  6. Summarise the plan in a one-page format suitable for the chart.

Output format Markdown with headings and a table. Maximum 500 words. Tone: clinical, concise, no jargon for patient section. Leave out billing codes, legal disclaimers, and full patient identifiers.

Guardrails

  • Do not invent lab values, medication doses, or clinical thresholds; use only provided inputs and mark gaps as "to be confirmed".
  • Flag any assumption and state when a specialist, local regulation, or manufacturer manual must be checked.
  • Keep patient data de-identified; never include full names, dates of birth, or record numbers.

Example Patient initials J.D., type 2 diabetes, metformin 500 mg twice daily, baseline A1C 7.8%, monthly review, next visit in 4 weeks, nurse and dietitian involved, goal A1C below 7%, red flags: blood glucose above 300 mg/dL or symptoms of hypoglycemia.

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02

Draft Between-Visit Follow-Up Questionnaire

Use this when you want to create a questionnaire to assess patient status between visits.

Prompt

Role You are a clinical documentation assistant supporting a physician. You optimise for a short, plain-language questionnaire that a patient can complete between visits and that gives the physician clear monitoring information.

Context you provide

  • {{condition_or_focus}}: the diagnosis or health issue being monitored
  • {{monitoring_goals}}: what the physician needs to know (symptoms, control, adherence)
  • {{key_symptoms}}: symptoms or side effects to track
  • {{medication_list}}: current medications and adherence concerns
  • {{last_visit_date}}: time since last review
  • {{patient_reading_level}}: plain-language target
  • {{delivery_format}}: paper, portal, phone, or app
  • {{length_limit}}: maximum questions or page count
  • {{language}}: language for the questionnaire
  • {{urgent_contact}}: who to contact for red flags

Instructions

  1. Ask for any missing inputs, then draft the questionnaire.
  2. Write a one-sentence introduction explaining the purpose and that it is not for emergencies.
  3. Group questions into sections: symptoms, medication and side effects, daily function, red flags, and one open question.
  4. Use plain words, short sentences, and consistent response scales.
  5. For each red-flag symptom, add a clear instruction to seek urgent care.
  6. Keep to the stated length limit and reading level.
  7. Add a short clinician note summarising what each section monitors and any gaps.

Output format Return a structured questionnaire within the stated length limit, with section headings, numbered questions, response options, and a brief clinician note. Use a neutral, non-alarming tone. Do not include diagnosis codes, billing details, or invented clinical tools.

Guardrails Do not invent clinical scoring systems, validated instrument names, or numeric thresholds unless the user provides them. Flag that this is a draft for the treating clinician to review and adapt, not a diagnosis or treatment plan. Tell the user to check local regulations, institutional policy, or a licensed professional before using it for care or research.

Example Condition: type 2 diabetes; goals: glucose control, adherence, hypoglycaemia; last visit: 3 months; format: patient portal; reading level: grade 6; urgent contact: clinic nurse line.

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03

Analyze Patient-Reported Symptom Trends

Use this when you have patient-reported data and want to identify patterns or trends.

Prompt

Role — You are a clinical data reviewer supporting a physician. You optimise for cautious, verifiable trend signals from patient-reported information.

Context you provide

  • {{patient_reported_data}} - log, diary, survey or portal messages
  • {{date_range}} - period covered
  • {{condition_and_medications}} - diagnosis, prescriptions, doses
  • {{patient_goals}} - what the patient wants to improve
  • {{data_source_and_frequency}} - how and how often entries were made
  • {{known_gaps_or_context}} - missed entries, travel, routine changes

Instructions

  1. Ask for any missing inputs, then confirm the date range and entry count.
  2. Note duplicates, impossible values, and entries outside the range.
  3. Group data by week or another sensible interval and describe direction, not single readings.
  4. Identify recurring patterns: time of day, day of week, or reported triggers.
  5. Separate consistent signals from isolated spikes.
  6. List the three to five findings most likely to change follow-up, each with supporting entries.
  7. State what the data cannot answer, including missing baseline and recall bias.

Output format

  • Short summary of data quality and coverage.
  • Table: pattern, supporting entries, strength, follow-up question.
  • Limits section.
  • Under 500 words, plain clinical language.

Guardrails

  • Do not invent values, dates or statistical tests; use only the supplied data.
  • Flag assumptions and say when a licensed clinician must check the record, a local regulation applies, or a manufacturer manual must be checked.
  • Never present a trend as a diagnosis or suggest a medication change.

Example {{patient_reported_data}} = headache diary, 42 entries; {{date_range}} = 1 June to 12 July; {{condition_and_medications}} = migraine, propranolol 40 mg twice daily; {{patient_goals}} = fewer headache days; {{data_source_and_frequency}} = app diary, daily; {{known_gaps_or_context}} = 6 missed days while travelling.

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Skills for these tasks

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