pptx-medical

Name: pptx-medical
Rating: 55
Author: Fadil369

by Fadil369

AI-powered OCR pipeline for healthcare document processing with automated PowerPoint generation

⭐ 0🍴 0📅 Nov 23, 2025

ai fhir google-vision healthcare hipaa langchain medical nodejs

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SKILL.md

name: pptx-medical description: Medical PowerPoint presentation generation with clinical data visualization. Creates professional presentations from FHIR resources, lab results, and clinical data. Use when generating patient summaries, care plans, medical reports, or clinical presentations with proper healthcare formatting. license: MIT allowed-tools:

python
javascript
bash metadata: version: "1.0.0" category: healthcare output-format: "pptx" fhir-aware: "true"

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

Score

Total Score

55/100

Based on repository quality metrics

✓SKILL.md

SKILL.mdファイルが含まれている

+20

○LICENSE

ライセンスが設定されている

0/10

○説明文

100文字以上の説明がある

0/10

○人気

GitHub Stars 100以上

0/15

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3ヶ月以内に更新

○フォーク

10回以上フォークされている

0/5

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オープンIssueが50未満

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プログラミング言語が設定されている

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1つ以上のタグが設定されている

Reviews

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Reviews coming soon

pptx-medical

SKILL.md

Medical PowerPoint Generation Skill

Overview

When to Use This Skill

Core Capabilities

1. Medical Presentation Templates

2. Healthcare Color Palettes

3. Create Title Slide

4. Patient Demographics Slide

5. Medications List Slide

6. Lab Results with Charts

7. Vital Signs Trend Chart

8. Diagnoses/Problems List

Complete Presentation Workflow

Medical Chart Types

HIPAA-Compliant Features

Best Practices

Integration with Agents

Example Use Cases

Score

Reviews

prompt-lookup

skill-lookup

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pptx-medical

SKILL.md

Medical PowerPoint Generation Skill

Overview

When to Use This Skill

Core Capabilities

1. Medical Presentation Templates

2. Healthcare Color Palettes

3. Create Title Slide

4. Patient Demographics Slide

5. Medications List Slide

6. Lab Results with Charts

7. Vital Signs Trend Chart

8. Diagnoses/Problems List

Complete Presentation Workflow

Medical Chart Types

HIPAA-Compliant Features

Best Practices

Integration with Agents

Example Use Cases

Score

Reviews

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