majiayu000 Medical PowerPoint Generation Skill
Overview
This skill enables Claude to create professional medical PowerPoint presentations from clinical data, FHIR resources, lab results, and patient information. Designed specifically for healthcare workflows with HIPAA-compliant templates.
When to Use This Skill
Use this skill when you need to:
- Generate patient summary presentations
- Create clinical care plan slides
- Visualize lab results and trends
- Build medical report presentations
- Design medication management slides
- Create discharge summary presentations
Core Capabilities
1. Medical Presentation Templates
MEDICAL_TEMPLATES = {
"patient_summary": {
"title_slide": True,
"demographics": True,
"vital_signs": True,
"medications": True,
"diagnoses": True,
"lab_results": True
},
"lab_results": {
"title_slide": True,
"test_summary": True,
"trend_charts": True,
"reference_ranges": True
},
"care_plan": {
"title_slide": True,
"current_conditions": True,
"treatment_plan": True,
"medications": True,
"follow_up": True
}
}
2. Healthcare Color Palettes
HEALTHCARE_PALETTES = {
"clinical_blue": {
"primary": "#1E3A8A", # Deep blue
"secondary": "#3B82F6", # Blue
"accent": "#60A5FA", # Light blue
"background": "#F8FAFC", # Off-white
"text": "#1E293B" # Dark gray
},
"medical_green": {
"primary": "#047857", # Green
"secondary": "#059669", # Emerald
"accent": "#10B981", # Light green
"background": "#F0FDF4", # Light green bg
"text": "#064E3B" # Dark green
},
"health_purple": {
"primary": "#6B21A8", # Purple
"secondary": "#9333EA", # Violet
"accent": "#A78BFA", # Light purple
"background": "#FAF5FF", # Light purple bg
"text": "#581C87" # Dark purple
},
"professional_gray": {
"primary": "#374151", # Gray
"secondary": "#6B7280", # Medium gray
"accent": "#9CA3AF", # Light gray
"background": "#F9FAFB", # Off-white
"text": "#111827" # Black
}
}
3. Create Title Slide
from pptxgenjs import PptxGenJS
def create_medical_title_slide(prs, title_data, palette="clinical_blue"):
"""Create professional medical presentation title slide"""
colors = HEALTHCARE_PALETTES[palette]
slide = prs.add_slide()
# Header banner
slide.add_shape("rect", {
"x": 0, "y": 0,
"w": "100%", "h": 1.5,
"fill": colors["primary"]
})
# Title
slide.add_text(title_data.get("title", "Patient Summary"), {
"x": 0.5, "y": 0.3,
"w": 9, "h": 1,
"fontSize": 44,
"bold": True,
"color": "#FFFFFF",
"fontFace": "Arial"
})
# Subtitle
slide.add_text(title_data.get("subtitle", "Clinical Report"), {
"x": 0.5, "y": 1.8,
"w": 9, "h": 0.5,
"fontSize": 24,
"color": colors["secondary"],
"fontFace": "Arial"
})
# Date and facility
slide.add_text(
f"Date: {title_data.get('date', '')}\n" +
f"Facility: {title_data.get('facility', 'Medical Center')}",
{
"x": 0.5, "y": 6.5,
"w": 4, "h": 0.8,
"fontSize": 14,
"color": colors["text"],
"fontFace": "Arial"
}
)
# HIPAA notice
slide.add_text(
"CONFIDENTIAL - Protected Health Information",
{
"x": 5.5, "y": 6.9,
"w": 4, "h": 0.4,
"fontSize": 10,
"color": "#DC2626",
"italic": True,
"fontFace": "Arial"
}
)
return slide
4. Patient Demographics Slide
def create_demographics_slide(prs, patient_data, palette="clinical_blue"):
"""Create patient demographics slide from FHIR Patient resource"""
colors = HEALTHCARE_PALETTES[palette]
slide = prs.add_slide()
# Title
slide.add_text("Patient Demographics", {
"x": 0.5, "y": 0.3,
"w": 9, "h": 0.7,
"fontSize": 36,
"bold": True,
"color": colors["primary"],
"fontFace": "Arial"
})
# Patient info table
demographics = [
["Field", "Value"],
["Name", patient_data.get("name", "")],
["MRN", patient_data.get("mrn", "")],
["Date of Birth", patient_data.get("birth_date", "")],
["Age", str(patient_data.get("age", ""))],
["Gender", patient_data.get("gender", "")],
["Phone", patient_data.get("phone", "")],
["Address", patient_data.get("address", "")]
]
slide.add_table(demographics, {
"x": 1.5, "y": 1.5,
"w": 7, "h": 4,
"fontSize": 16,
"fontFace": "Arial",
"border": {"pt": 1, "color": colors["secondary"]},
"fill": {
"color": colors["background"],
"transparency": 50
},
"color": colors["text"]
})
return slide
5. Medications List Slide
def create_medications_slide(prs, medications, palette="clinical_blue"):
"""Create medications list from FHIR MedicationRequest resources"""
colors = HEALTHCARE_PALETTES[palette]
slide = prs.add_slide()
# Title
slide.add_text("Current Medications", {
"x": 0.5, "y": 0.3,
"w": 9, "h": 0.7,
"fontSize": 36,
"bold": True,
"color": colors["primary"],
"fontFace": "Arial"
})
# Medications table
med_data = [["Medication", "Dosage", "Frequency", "Route"]]
for med in medications:
med_data.append([
med.get("name", ""),
med.get("dosage", ""),
med.get("frequency", ""),
med.get("route", "PO")
])
slide.add_table(med_data, {
"x": 0.8, "y": 1.5,
"w": 8.4, "h": 4.5,
"fontSize": 14,
"fontFace": "Arial",
"border": {"pt": 1, "color": colors["secondary"]},
"fill": {"color": colors["background"]},
"color": colors["text"],
"rowH": 0.5,
"colW": [3, 1.8, 1.8, 1]
})
# Footer note
slide.add_text(
f"Total medications: {len(medications)}",
{
"x": 0.8, "y": 6.2,
"w": 3, "h": 0.4,
"fontSize": 12,
"italic": True,
"color": colors["text"],
"fontFace": "Arial"
}
)
return slide
6. Lab Results with Charts
def create_lab_results_slide(prs, lab_results, palette="clinical_blue"):
"""Create lab results slide with trend visualization"""
colors = HEALTHCARE_PALETTES[palette]
slide = prs.add_slide()
# Title
slide.add_text("Laboratory Results", {
"x": 0.5, "y": 0.3,
"w": 9, "h": 0.7,
"fontSize": 36,
"bold": True,
"color": colors["primary"],
"fontFace": "Arial"
})
# Results table
lab_data = [["Test", "Result", "Unit", "Reference Range", "Status"]]
for lab in lab_results:
status = "Normal"
if lab.get("value", 0) > lab.get("ref_high", float('inf')):
status = "High ⬆"
elif lab.get("value", 0) < lab.get("ref_low", 0):
status = "Low ⬇"
lab_data.append([
lab.get("test_name", ""),
str(lab.get("value", "")),
lab.get("unit", ""),
f"{lab.get('ref_low', '')}-{lab.get('ref_high', '')}",
status
])
slide.add_table(lab_data, {
"x": 0.5, "y": 1.5,
"w": 9, "h": 4.5,
"fontSize": 14,
"fontFace": "Arial",
"border": {"pt": 1, "color": colors["secondary"]},
"fill": {"color": colors["background"]},
"color": colors["text"],
"colW": [2.5, 1.5, 1, 2, 1.5]
})
return slide
7. Vital Signs Trend Chart
def create_vitals_chart_slide(prs, vitals_history, palette="clinical_blue"):
"""Create vital signs trend chart"""
colors = HEALTHCARE_PALETTES[palette]
slide = prs.add_slide()
# Title
slide.add_text("Vital Signs Trends", {
"x": 0.5, "y": 0.3,
"w": 9, "h": 0.7,
"fontSize": 36,
"bold": True,
"color": colors["primary"],
"fontFace": "Arial"
})
# Prepare chart data
chart_data = {
"labels": [v["date"] for v in vitals_history],
"datasets": [
{
"name": "Blood Pressure (Systolic)",
"values": [v.get("bp_systolic", 0) for v in vitals_history],
"borderColor": colors["primary"],
"backgroundColor": colors["primary"]
},
{
"name": "Heart Rate",
"values": [v.get("heart_rate", 0) for v in vitals_history],
"borderColor": colors["accent"],
"backgroundColor": colors["accent"]
}
]
}
slide.add_chart("line", chart_data, {
"x": 1, "y": 1.5,
"w": 8, "h": 4.5,
"title": "Vital Signs Over Time",
"titleFontSize": 18,
"titleColor": colors["text"],
"showLegend": True,
"legendPos": "r"
})
return slide
8. Diagnoses/Problems List
def create_diagnoses_slide(prs, diagnoses, palette="clinical_blue"):
"""Create diagnoses list from FHIR Condition resources"""
colors = HEALTHCARE_PALETTES[palette]
slide = prs.add_slide()
# Title
slide.add_text("Active Diagnoses", {
"x": 0.5, "y": 0.3,
"w": 9, "h": 0.7,
"fontSize": 36,
"bold": True,
"color": colors["primary"],
"fontFace": "Arial"
})
# Diagnoses table
dx_data = [["Diagnosis", "ICD-10", "Status", "Onset Date"]]
for dx in diagnoses:
dx_data.append([
dx.get("name", ""),
dx.get("icd10_code", ""),
dx.get("clinical_status", "Active"),
dx.get("onset_date", "")
])
slide.add_table(dx_data, {
"x": 0.8, "y": 1.5,
"w": 8.4, "h": 4.5,
"fontSize": 14,
"fontFace": "Arial",
"border": {"pt": 1, "color": colors["secondary"]},
"fill": {"color": colors["background"]},
"color": colors["text"],
"colW": [4, 1.5, 1.5, 1.4]
})
return slide
Complete Presentation Workflow
def create_medical_presentation(fhir_data, template="patient_summary"):
"""Generate complete medical presentation from FHIR data"""
prs = PptxGenJS()
prs.layout = "LAYOUT_16x9"
prs.author = "Doctors-Linc AI"
prs.company = "Healthcare Organization"
prs.subject = "Patient Medical Summary"
# Choose color palette based on context
palette = "clinical_blue"
# Title slide
title_slide = create_medical_title_slide(prs, {
"title": "Patient Medical Summary",
"subtitle": "Comprehensive Clinical Overview",
"date": datetime.now().strftime("%Y-%m-%d"),
"facility": fhir_data.get("facility", "Medical Center")
}, palette)
# Demographics slide
if "patient" in fhir_data:
demographics_slide = create_demographics_slide(
prs, fhir_data["patient"], palette
)
# Medications slide
if "medications" in fhir_data:
medications_slide = create_medications_slide(
prs, fhir_data["medications"], palette
)
# Lab results slide
if "lab_results" in fhir_data:
lab_slide = create_lab_results_slide(
prs, fhir_data["lab_results"], palette
)
# Vital signs chart
if "vitals_history" in fhir_data:
vitals_slide = create_vitals_chart_slide(
prs, fhir_data["vitals_history"], palette
)
# Diagnoses slide
if "diagnoses" in fhir_data:
dx_slide = create_diagnoses_slide(
prs, fhir_data["diagnoses"], palette
)
# Save presentation
output_path = f"patient_summary_{datetime.now().strftime('%Y%m%d_%H%M%S')}.pptx"
prs.write_file(output_path)
return {
"output_path": output_path,
"slide_count": len(prs.slides),
"template": template
}
Medical Chart Types
MEDICAL_CHART_TYPES = {
"vitals_trend": {
"type": "line",
"metrics": ["bp_systolic", "bp_diastolic", "heart_rate", "temperature"],
"x_axis": "date",
"title": "Vital Signs Trend"
},
"lab_comparison": {
"type": "bar",
"metrics": ["glucose", "hba1c", "cholesterol"],
"x_axis": "test_name",
"title": "Lab Results Comparison"
},
"medication_timeline": {
"type": "gantt",
"x_axis": "date",
"y_axis": "medication_name",
"title": "Medication Timeline"
}
}
HIPAA-Compliant Features
def add_hipaa_footer(slide, colors):
"""Add HIPAA confidentiality notice to slide"""
slide.add_text(
"CONFIDENTIAL - Contains Protected Health Information (PHI) - " +
"Unauthorized disclosure is prohibited by HIPAA",
{
"x": 0.5, "y": 7,
"w": 9, "h": 0.4,
"fontSize": 8,
"color": "#DC2626",
"italic": True,
"align": "center",
"fontFace": "Arial"
}
)
def add_watermark(slide, text="CONFIDENTIAL"):
"""Add watermark to slide"""
slide.add_text(text, {
"x": 2, "y": 3,
"w": 6, "h": 2,
"fontSize": 72,
"color": "#E5E7EB",
"rotate": -45,
"transparency": 70,
"align": "center",
"valign": "middle",
"fontFace": "Arial",
"bold": True
})
Best Practices
- Always include HIPAA notices on confidential slides
- Use clear visual hierarchy - large titles, readable body text
- Choose appropriate color palettes - clinical blue for general, green for wellness
- Include reference ranges for lab results
- Show trends - use charts for temporal data
- Limit data per slide - 5-7 items maximum
- Add metadata - dates, facility, report ID
- Use consistent formatting across all slides
Integration with Agents
This skill integrates with:
- FHIR-Generator: Receives FHIR resources
- HEALTHCARELINC: Receives structured medical data
- Medical-OCR: Can visualize OCR-extracted data
Example Use Cases
- Patient Discharge Summary: Demographics + Diagnoses + Medications + Follow-up
- Lab Results Report: Trends + Current values + Reference ranges
- Medication Management: Active meds + Changes + Adherence
- Care Team Handoff: Patient summary + Recent events + Action items
Version: 1.0.0
Last Updated: 2024-11-22
Output Format: PPTX (PowerPoint)
Maintainer: Doctors-Linc Development Team