pptx-medical

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" ,