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Update app.py
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app.py
CHANGED
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@@ -21,7 +21,7 @@ class CICE_Assessment:
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self.model = genai.GenerativeModel("gemini-2.0-flash-exp")
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def analyze_video(self, video_path):
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"""Analyze video using the 18-point CICE 2.0 assessment"""
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try:
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# Upload video to Gemini
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@@ -38,89 +38,89 @@ class CICE_Assessment:
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if video_file.state.name == "FAILED":
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raise Exception("Video processing failed")
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#
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prompt = """Analyze this healthcare team interaction video and provide a comprehensive assessment based on the CICE 2.0 instrument's 18 interprofessional competencies
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For EACH
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1. IDENTIFIES FACTORS INFLUENCING HEALTH STATUS
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2. IDENTIFIES TEAM GOALS FOR THE PATIENT
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3. PRIORITIZES GOALS FOCUSED ON IMPROVING HEALTH OUTCOMES
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4. VERBALIZES DISCIPLINE-SPECIFIC ROLE
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5. OFFERS TO SEEK GUIDANCE FROM COLLEAGUES
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6. COMMUNICATES ABOUT COST-EFFECTIVE AND TIMELY CARE
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7. DIRECTS QUESTIONS TO OTHER HEALTH PROFESSIONALS BASED ON EXPERTISE
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8. AVOIDS DISCIPLINE-SPECIFIC TERMINOLOGY
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9. EXPLAINS DISCIPLINE-SPECIFIC TERMINOLOGY WHEN NECESSARY
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10. COMMUNICATES ROLES AND RESPONSIBILITIES CLEARLY
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11. ENGAGES IN ACTIVE LISTENING
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12. SOLICITS AND ACKNOWLEDGES PERSPECTIVES
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13. RECOGNIZES APPROPRIATE CONTRIBUTIONS
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14. RESPECTFUL OF OTHER TEAM MEMBERS
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15. COLLABORATIVELY WORKS THROUGH INTERPROFESSIONAL CONFLICTS
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16. REFLECTS ON STRENGTHS OF TEAM INTERACTIONS
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17. REFLECTS ON CHALLENGES OF TEAM INTERACTIONS
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18. IDENTIFIES HOW TO IMPROVE TEAM EFFECTIVENESS
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STRUCTURE YOUR RESPONSE AS FOLLOWS:
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## OVERALL ASSESSMENT
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## DETAILED COMPETENCY EVALUATION
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For each of the 18 competencies, format as:
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Competency [number]: [name]
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Status: [OBSERVED/NOT OBSERVED]
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Evidence: [Specific
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## STRENGTHS
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## AREAS FOR IMPROVEMENT
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##
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## FINAL SCORE
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Competencies Observed: X/18
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Overall Performance Level: [Exemplary/Proficient/Developing/Needs Improvement]"""
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response = self.model.generate_content([video_file, prompt])
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return response.text
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return f"Error during analysis: {str(e)}"
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def generate_audio_feedback(self, text):
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"""
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# Clean text for speech
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clean_text = re.sub(r'[#*_\[\]()]', ' ',
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clean_text = re.sub(r'\s+', ' ', clean_text)
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clean_text = re.sub(r'[-β’Β·]\s+', '', clean_text)
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# Generate audio with gTTS
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try:
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tts = gTTS(text=
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# Save to temporary file
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with tempfile.NamedTemporaryFile(delete=False, suffix='.mp3') as tmp_file:
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@@ -150,6 +167,40 @@ class CICE_Assessment:
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print(f"β οΈ Audio generation failed: {str(e)}")
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return None
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def parse_assessment_scores(self, assessment_text):
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"""Parse assessment text to extract scores"""
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@@ -268,14 +319,14 @@ def process_video(video):
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progress_messages.append("β
Analysis complete!")
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# Generate audio feedback
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progress_messages.append("π Generating audio
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audio_path = assessor.generate_audio_feedback(assessment_result)
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# Parse scores for visual summary
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observed, total, percentage, level, color = assessor.parse_assessment_scores(assessment_result)
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# Create visual summary HTML
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summary_html = f"""
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<div style="max-width:800px; margin:20px auto; padding:30px; border-radius:15px; box-shadow:0 4px 6px rgba(0,0,0,0.1);">
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<h2 style="text-align:center; color:#1f2937;">CICE 2.0 Assessment Summary</h2>
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</div>
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<div style="margin-top:30px;">
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<h3
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</div>
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</div>
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"""
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gr.Markdown("""
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# π₯ CICE 2.0 Healthcare Team Assessment Tool
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**Analyze healthcare team interactions using the 18-point CICE 2.0
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This tool evaluates
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---
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""")
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1. **Upload** a pre-recorded video or **Record** using your webcam
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2. Click **Analyze Video** to start the assessment
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3. Wait for the AI to process (1-2 minutes)
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**
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""")
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with gr.Column(scale=2):
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# Visual summary
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summary_output = gr.HTML(label="Visual Summary")
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# Detailed assessment
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assessment_output = gr.Textbox(
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label="Detailed CICE 2.0 Assessment",
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lines=20,
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max_lines=30,
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interactive=False
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)
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# Audio feedback
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audio_output = gr.Audio(
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label="π Audio Feedback (Downloadable)",
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type="filepath",
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interactive=False
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)
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# Download report
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report_file = gr.File(
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label="π₯ Download Full Report",
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# Footer
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gr.Markdown("""
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---
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### About
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""")
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# Connect the analyze button
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@@ -442,4 +517,4 @@ if __name__ == "__main__":
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debug=True,
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server_name="0.0.0.0",
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server_port=7860
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)
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self.model = genai.GenerativeModel("gemini-2.0-flash-exp")
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def analyze_video(self, video_path):
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"""Analyze video using the 18-point CICE 2.0 assessment with specific behavioral cues"""
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try:
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# Upload video to Gemini
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if video_file.state.name == "FAILED":
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raise Exception("Video processing failed")
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# ENHANCED PROMPT WITH SPECIFIC BEHAVIORAL CUES
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prompt = """Analyze this healthcare team interaction video and provide a comprehensive assessment based on the CICE 2.0 instrument's 18 interprofessional competencies, looking for these SPECIFIC BEHAVIORAL CUES:
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For EACH competency, clearly state whether it was "OBSERVED" or "NOT OBSERVED" based on these specific behaviors:
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1. IDENTIFIES FACTORS INFLUENCING HEALTH STATUS
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LOOK FOR: Team mentions allergy bracelet, fall-related trauma, multiple injuries, or states airway/breathing/circulation concerns out loud
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2. IDENTIFIES TEAM GOALS FOR THE PATIENT
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LOOK FOR: Team verbalizes goals like: stabilize airway, CPR/AED, give epinephrine, control bleeding, preserve tooth, prepare EMS handoff
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3. PRIORITIZES GOALS FOCUSED ON IMPROVING HEALTH OUTCOMES
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LOOK FOR: CPR/AED prioritized before bleeding/dental injury, EpiPen administered before addressing secondary injuries
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4. VERBALIZES DISCIPLINE-SPECIFIC ROLE (PRE-BRIEF)
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LOOK FOR: Students acknowledge interprofessional communication expectations and scene safety review before scenario begins
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5. OFFERS TO SEEK GUIDANCE FROM COLLEAGUES
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LOOK FOR: Peer-to-peer checks (e.g., dental to dental: confirm tooth storage; nursing to nursing: confirm CPR quality)
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6. COMMUNICATES ABOUT COST-EFFECTIVE AND TIMELY CARE
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LOOK FOR: Team chooses readily available supplies (AED, saline, tourniquet) without delay, states need for rapid EMS transfer
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7. DIRECTS QUESTIONS TO OTHER HEALTH PROFESSIONALS BASED ON EXPERTISE
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LOOK FOR: Asks discipline-specific expertise (e.g., "Dentalβwhat do we do with the tooth?"), invites pharmacy/medical input on epinephrine use
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8. AVOIDS DISCIPLINE-SPECIFIC TERMINOLOGY
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LOOK FOR: Uses plain language like "no pulse" instead of "asystole"
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9. EXPLAINS DISCIPLINE-SPECIFIC TERMINOLOGY WHEN NECESSARY
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LOOK FOR: Clarifies medical/dental terms for others when necessary
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10. COMMUNICATES ROLES AND RESPONSIBILITIES CLEARLY
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LOOK FOR: Announces assignments out loud: "I'll do compressions," "I'll call 911," "I'll document"
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11. ENGAGES IN ACTIVE LISTENING
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LOOK FOR: Repeats back instructions ("Everyone clear for shock"), pauses to hear teammates' updates
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12. SOLICITS AND ACKNOWLEDGES PERSPECTIVES
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LOOK FOR: Leader asks "Anything else we need to address?", responds to peer input respectfully
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13. RECOGNIZES APPROPRIATE CONTRIBUTIONS
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LOOK FOR: Affirms correct actions verbally ("Good catch on allergy bracelet"), non-verbal acknowledgment (nodding, thumbs up)
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14. RESPECTFUL OF OTHER TEAM MEMBERS
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LOOK FOR: Listens without interrupting, values input across professions
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15. COLLABORATIVELY WORKS THROUGH INTERPROFESSIONAL CONFLICTS
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LOOK FOR: Negotiates intervention priorities (airway vs. bleeding) respectfully
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16. REFLECTS ON STRENGTHS OF TEAM INTERACTIONS (POST-BRIEF)
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LOOK FOR: Notes strong teamwork, communication, or role clarity after the scenario
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17. REFLECTS ON CHALLENGES OF TEAM INTERACTIONS (POST-BRIEF)
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LOOK FOR: Identifies confusion, delays, or role overlap in debriefing
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18. IDENTIFIES HOW TO IMPROVE TEAM EFFECTIVENESS (POST-BRIEF)
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LOOK FOR: Suggests faster role assignment, consistent closed-loop communication, earlier epi use
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STRUCTURE YOUR RESPONSE AS FOLLOWS:
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## OVERALL ASSESSMENT
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Brief overview of the team interaction quality.
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## DETAILED COMPETENCY EVALUATION
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For each of the 18 competencies, format as:
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Competency [number]: [name]
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Status: [OBSERVED/NOT OBSERVED]
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Evidence: [Specific behavioral cue observed or explanation of absence]
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## STRENGTHS
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Top 3-5 key strengths with specific examples
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## AREAS FOR IMPROVEMENT
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Top 3-5 areas needing work with specific suggestions
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## AUDIO SUMMARY
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[Create a 60-second summary focusing on: overall performance level, top 3 strengths, top 3 areas for improvement, and 2 key recommendations]
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## FINAL SCORE
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Competencies Observed: X/18
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Overall Performance Level: [Exemplary (85-100%)/Proficient (70-84%)/Developing (50-69%)/Needs Improvement (0-49%)]"""
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response = self.model.generate_content([video_file, prompt])
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return response.text
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return f"Error during analysis: {str(e)}"
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def generate_audio_feedback(self, text):
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"""Generate a concise 1-minute audio feedback summary"""
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# Extract the audio summary section from the assessment
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audio_summary_match = re.search(r'## AUDIO SUMMARY\s*(.*?)(?=##|\Z)', text, re.DOTALL)
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if audio_summary_match:
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summary_text = audio_summary_match.group(1).strip()
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else:
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# Fallback: Create a brief summary from the assessment
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summary_text = self.create_brief_summary(text)
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# Clean text for speech
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clean_text = re.sub(r'[#*_\[\]()]', ' ', summary_text)
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clean_text = re.sub(r'\s+', ' ', clean_text)
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clean_text = re.sub(r'[-β’Β·]\s+', '', clean_text)
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# Add introduction and conclusion for better audio experience
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audio_script = f"""CICE Healthcare Team Assessment Summary.
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{clean_text}
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Please refer to the detailed written report for complete competency evaluation and specific recommendations.
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End of audio summary."""
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# Generate audio with gTTS
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try:
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tts = gTTS(text=audio_script, lang='en', slow=False, tld='com')
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# Save to temporary file
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with tempfile.NamedTemporaryFile(delete=False, suffix='.mp3') as tmp_file:
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print(f"β οΈ Audio generation failed: {str(e)}")
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return None
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def create_brief_summary(self, text):
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"""Create a brief summary if AUDIO SUMMARY section is not found"""
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# Parse scores
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observed_count = text.lower().count("observed") - text.lower().count("not observed")
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total = 18
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percentage = (observed_count / total) * 100
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# Determine performance level
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if percentage >= 85:
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level = "Exemplary"
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elif percentage >= 70:
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level = "Proficient"
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elif percentage >= 50:
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level = "Developing"
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else:
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level = "Needs Improvement"
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# Extract strengths and improvements if possible
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strengths = "Strong team communication and role clarity observed"
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improvements = "Consider enhancing active listening and conflict resolution skills"
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summary = f"""The team demonstrated {level} performance with {observed_count} out of {total} competencies observed,
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achieving {percentage:.0f} percent overall.
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Key strengths included {strengths}.
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Areas for improvement include {improvements}.
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The team should focus on pre-briefing protocols and post-scenario debriefing to enhance future performance.
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Emphasis should be placed on clear role assignment and closed-loop communication during critical interventions."""
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return summary
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def parse_assessment_scores(self, assessment_text):
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"""Parse assessment text to extract scores"""
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|
|
| 319 |
|
| 320 |
progress_messages.append("β
Analysis complete!")
|
| 321 |
|
| 322 |
+
# Generate 1-minute audio feedback
|
| 323 |
+
progress_messages.append("π Generating 1-minute audio summary...")
|
| 324 |
audio_path = assessor.generate_audio_feedback(assessment_result)
|
| 325 |
|
| 326 |
# Parse scores for visual summary
|
| 327 |
observed, total, percentage, level, color = assessor.parse_assessment_scores(assessment_result)
|
| 328 |
|
| 329 |
+
# Create enhanced visual summary HTML with behavioral cues
|
| 330 |
summary_html = f"""
|
| 331 |
<div style="max-width:800px; margin:20px auto; padding:30px; border-radius:15px; box-shadow:0 4px 6px rgba(0,0,0,0.1);">
|
| 332 |
<h2 style="text-align:center; color:#1f2937;">CICE 2.0 Assessment Summary</h2>
|
|
|
|
| 347 |
</div>
|
| 348 |
|
| 349 |
<div style="margin-top:30px;">
|
| 350 |
+
<h3>π― Key Behavioral Indicators Assessed:</h3>
|
| 351 |
+
<div style="background:#f3f4f6; padding:15px; border-radius:10px; margin:15px 0;">
|
| 352 |
+
<h4 style="color:#059669; margin-top:0;">β
Critical Actions</h4>
|
| 353 |
+
<ul style="line-height:1.6; color:#374151;">
|
| 354 |
+
<li>CPR/AED prioritization</li>
|
| 355 |
+
<li>Epinephrine administration timing</li>
|
| 356 |
+
<li>Clear role assignments ("I'll do compressions")</li>
|
| 357 |
+
<li>Closed-loop communication</li>
|
| 358 |
+
</ul>
|
| 359 |
+
</div>
|
| 360 |
+
|
| 361 |
+
<div style="background:#f3f4f6; padding:15px; border-radius:10px; margin:15px 0;">
|
| 362 |
+
<h4 style="color:#0891b2; margin-top:0;">π£οΈ Communication Markers</h4>
|
| 363 |
+
<ul style="line-height:1.6; color:#374151;">
|
| 364 |
+
<li>Plain language use (avoiding medical jargon)</li>
|
| 365 |
+
<li>Active listening (repeating back instructions)</li>
|
| 366 |
+
<li>Soliciting input ("Anything else we need?")</li>
|
| 367 |
+
<li>Recognizing contributions ("Good catch!")</li>
|
| 368 |
+
</ul>
|
| 369 |
+
</div>
|
| 370 |
+
|
| 371 |
+
<div style="background:#f3f4f6; padding:15px; border-radius:10px; margin:15px 0;">
|
| 372 |
+
<h4 style="color:#7c3aed; margin-top:0;">π Team Dynamics</h4>
|
| 373 |
+
<ul style="line-height:1.6; color:#374151;">
|
| 374 |
+
<li>Pre-brief safety review</li>
|
| 375 |
+
<li>Peer-to-peer verification</li>
|
| 376 |
+
<li>Respectful conflict resolution</li>
|
| 377 |
+
<li>Post-brief reflection on strengths/challenges</li>
|
| 378 |
+
</ul>
|
| 379 |
+
</div>
|
| 380 |
+
</div>
|
| 381 |
+
|
| 382 |
+
<div style="margin-top:20px; padding:15px; background:#fef3c7; border-radius:10px;">
|
| 383 |
+
<p style="text-align:center; color:#92400e; margin:0;">
|
| 384 |
+
<strong>π Listen to the 1-minute audio summary for key findings and recommendations</strong>
|
| 385 |
+
</p>
|
| 386 |
</div>
|
| 387 |
</div>
|
| 388 |
"""
|
|
|
|
| 410 |
gr.Markdown("""
|
| 411 |
# π₯ CICE 2.0 Healthcare Team Assessment Tool
|
| 412 |
|
| 413 |
+
**Analyze healthcare team interactions using specific behavioral cues from the 18-point CICE 2.0 framework**
|
| 414 |
|
| 415 |
+
This tool evaluates critical team behaviors including:
|
| 416 |
+
- Emergency response prioritization (CPR/AED, epinephrine)
|
| 417 |
+
- Clear role communication and closed-loop verification
|
| 418 |
+
- Active listening and respectful team dynamics
|
| 419 |
+
- Pre-brief and post-brief reflection practices
|
| 420 |
|
| 421 |
---
|
| 422 |
""")
|
|
|
|
| 447 |
1. **Upload** a pre-recorded video or **Record** using your webcam
|
| 448 |
2. Click **Analyze Video** to start the assessment
|
| 449 |
3. Wait for the AI to process (1-2 minutes)
|
| 450 |
+
4. Listen to the **1-minute audio summary** for quick insights
|
| 451 |
+
5. Review the detailed written assessment for complete evaluation
|
| 452 |
|
| 453 |
+
**Key Behaviors Assessed:**
|
| 454 |
+
- Allergy/medical history identification
|
| 455 |
+
- CPR/AED prioritization
|
| 456 |
+
- Clear role assignments
|
| 457 |
+
- Plain language communication
|
| 458 |
+
- Active listening behaviors
|
| 459 |
+
- Team respect and conflict resolution
|
| 460 |
""")
|
| 461 |
|
| 462 |
with gr.Column(scale=2):
|
|
|
|
| 465 |
# Visual summary
|
| 466 |
summary_output = gr.HTML(label="Visual Summary")
|
| 467 |
|
| 468 |
+
# Audio feedback - now prominently featured
|
| 469 |
+
audio_output = gr.Audio(
|
| 470 |
+
label="π 1-Minute Audio Summary (Listen First!)",
|
| 471 |
+
type="filepath",
|
| 472 |
+
interactive=False
|
| 473 |
+
)
|
| 474 |
+
|
| 475 |
# Detailed assessment
|
| 476 |
assessment_output = gr.Textbox(
|
| 477 |
+
label="Detailed CICE 2.0 Assessment (Full Report)",
|
| 478 |
lines=20,
|
| 479 |
max_lines=30,
|
| 480 |
interactive=False
|
| 481 |
)
|
| 482 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 483 |
# Download report
|
| 484 |
report_file = gr.File(
|
| 485 |
label="π₯ Download Full Report",
|
|
|
|
| 489 |
# Footer
|
| 490 |
gr.Markdown("""
|
| 491 |
---
|
| 492 |
+
### About This Assessment
|
| 493 |
+
This tool uses AI to identify specific behavioral markers that indicate effective interprofessional collaboration
|
| 494 |
+
in healthcare settings. The assessment focuses on observable actions such as:
|
| 495 |
+
- Verbal role assignments ("I'll do compressions")
|
| 496 |
+
- Recognition phrases ("Good catch on the allergy bracelet")
|
| 497 |
+
- Plain language use instead of medical jargon
|
| 498 |
+
- Pre-brief and post-brief team discussions
|
| 499 |
+
|
| 500 |
+
**Note:** Ensure clear audio capture of team communications for accurate assessment.
|
| 501 |
""")
|
| 502 |
|
| 503 |
# Connect the analyze button
|
|
|
|
| 517 |
debug=True,
|
| 518 |
server_name="0.0.0.0",
|
| 519 |
server_port=7860
|
| 520 |
+
)
|