Clinical Treatment Plan Generator

Clinical Use Cases

• Chronic disease management: A primary care physician creates a comprehensive treatment plan for a patient with type 2 diabetes, hypertension, and hyperlipidemia, generating SMART goals for each condition with coordinated medication adjustments, lifestyle interventions, and lab monitoring
• Psychiatric treatment planning: A psychiatrist develops a structured plan for a patient with major depressive disorder combining pharmacotherapy (SSRI titration schedule), psychotherapy referral (CBT, 12-week course), safety planning, and measurable symptom tracking using PHQ-9 scores at defined intervals
• Post-hospitalization transition: A hospitalist generates a discharge treatment plan summarizing medication changes, pending test results, follow-up appointments with specific timeframes, and warning signs requiring emergency department return
• Interdisciplinary team care: A rehabilitation team creates a coordinated plan spanning physical therapy, occupational therapy, speech therapy, and medical management with shared milestones and weekly reassessment criteria

Safety & Evidence

• Safety Classification: Caution — Treatment plans generated by this skill are templates for clinician review and customization, not autonomous prescriptions. All pharmacotherapy recommendations, dosing, and monitoring parameters must be verified by a licensed provider who has evaluated the patient directly. Plans should be adapted to individual patient context, preferences, and contraindications.
• Evidence Level: Moderate — Treatment interventions are mapped to published clinical guidelines and systematic reviews. SMART goal frameworks follow established care planning methodology. However, individual treatment plans require clinical customization that falls outside the scope of standardized evidence.

Example Usage

Generating a chronic disease plan:

Create a treatment plan for:
Patient: 58-year-old male
Problem list:
1. Type 2 diabetes - A1C 8.8%, on metformin 1000mg BID
2. Hypertension - BP 148/92, on lisinopril 10mg daily
3. Obesity - BMI 34.2

Treatment Plan:

Problem 1: Type 2 Diabetes (A1C 8.8%)

• Goal: Reduce A1C to <7.0% within 6 months
• Interventions:
  • Add empagliflozin 10mg daily (ADA 2024 — Class I for patients with BMI >30 or cardiovascular risk)
  • Refer to diabetes self-management education (DSME)
  • Dietary consultation: target 45-60g carbohydrate per meal
• Monitoring: Repeat A1C at 3 months; fasting glucose log weekly; BMP at 2 weeks post-empagliflozin initiation

Problem 2: Hypertension (BP 148/92)

• Goal: Achieve BP <130/80 mmHg within 3 months
• Interventions:
  • Increase lisinopril to 20mg daily
  • DASH diet education; sodium restriction <2,300 mg/day
  • Home BP monitoring: twice daily for 2 weeks, then twice weekly
• Monitoring: Recheck BP in 4 weeks; BMP at 2 weeks for creatinine/potassium

Problem 3: Obesity (BMI 34.2)

• Goal: Achieve 5-7% body weight reduction (4.5-6.4 kg) within 6 months
• Interventions:
  • Empagliflozin contributes to modest weight loss (dual benefit)
  • Structured exercise: 150 min/week moderate-intensity aerobic activity
  • Consider GLP-1 receptor agonist if A1C remains above target at 3-month reassessment
• Monitoring: Weight at each visit; waist circumference at baseline and 6 months

Technical Details

• Category: Treatment
• Author: OMS Contributors
• License: MIT
• Version: 1.0.0
• Specialty: Internal Medicine, Psychiatry, Family Medicine

References

• American Diabetes Association. Standards of Care in Diabetes. Diabetes Care (current year).
• Whelton PK, et al. 2017 ACC/AHA Guideline for Prevention, Detection, Evaluation, and Management of High Blood Pressure. Hypertension. 2018;71(6):e13-e115.
• Doran GT. "There's a S.M.A.R.T. way to write management's goals and objectives." Management Review. 1981;70(11):35-36.
• Jensen MD, et al. 2013 AHA/ACC/TOS Guideline for the Management of Overweight and Obesity in Adults. J Am Coll Cardiol. 2014;63(25 Pt B):2985-3023.
• CMS Conditions of Participation for hospitals: care planning documentation requirements

This skill is part of Open Medical Skills, a curated marketplace of medical AI skills maintained by physicians for physicians and the healthcare industry.