Orris

Write a full medical case record of this patient in the medical record template format

Reading File
Now let me extract text from both PDFs simultaneously.
Running Command

cd /home/daytona/workspace && python3 -c " import pdfplumber # Extract patient data with pdfplumber.open('/home/daytona/workspace/attachments/0061264f-746a-462b-ba8b-ce4fb8a5fe96/Adobe Scan Jul 14, 2026_1.pdf') as pdf: print('=== PATIENT PDF ===') print(f'Pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): print(f'--- Page {i+1} ---') text = page.extract_text() print(text) print() "

The PDF is a scanned document - text extraction returns empty. I need to use OCR. Let me also extract the template PDF at the same time.
Running Command

which tesseract && tesseract --version 2>&1 | head -3

Running Command

cd /home/daytona/workspace && mkdir -p ocr_output && python3 -c " import subprocess, os patient_pdf = '/home/daytona/workspace/attachments/0061264f-746a-462b-ba8b-ce4fb8a5fe96/Adobe Scan Jul 14, 2026_1.pdf' template_pdf = '/home/daytona/workspace/attachments/0061264f-746a-462b-ba8b-ce4fb8a5fe96/medical record template.pdf' # Convert patient PDF pages to images and OCR result = subprocess.run( ['pdftoppm', '-r', '200', '-png', patient_pdf, '/home/daytona/workspace/ocr_output/patient_page'], capture_output=True, text=True ) print('pdftoppm patient:', result.returncode, result.stderr[:200]) result2 = subprocess.run( ['pdftoppm', '-r', '200', '-png', template_pdf, '/home/daytona/workspace/ocr_output/template_page'], capture_output=True, text=True ) print('pdftoppm template:', result2.returncode, result2.stderr[:200]) "

Running Command

ls /home/daytona/workspace/ocr_output/ | head -30

Good. Now I'll use analyse_media to read both the patient pages and template pages. Let me use the analyse_media tool on the most informative pages. I'll start with the template pages and key patient pages in parallel.I need to use analyse_media wisely (5 calls total). Let me OCR the pages with tesseract instead, which is free and unlimited, then use analyse_media only for pages where OCR fails.
Running Command

cd /home/daytona/workspace && python3 << 'EOF' import subprocess import os output_dir = '/home/daytona/workspace/ocr_output' # OCR template pages for i in range(1, 6): img = f'{output_dir}/template_page-{i}.png' out = f'{output_dir}/template_ocr_{i}' subprocess.run(['tesseract', img, out, '-l', 'eng', '--psm', '6'], capture_output=True) # OCR patient pages (all 23) for i in range(1, 24): img = f'{output_dir}/patient_page-{i:02d}.png' out = f'{output_dir}/patient_ocr_{i:02d}' subprocess.run(['tesseract', img, out, '-l', 'eng', '--psm', '6'], capture_output=True) print("OCR done") EOF

OCR is too slow. Let me use analyse_media on the key pages. I have 5 calls - I'll use 2 for template pages (combined) and 3 for patient pages (batched). Let me view the images as files instead.
analyse_media
analyse_media requires HTTP URLs. Let me use tesseract but process fewer pages at a time with a shorter timeout.
Running Command

# OCR just template pages first (5 pages) for i in 1 2 3 4 5; do tesseract /home/daytona/workspace/ocr_output/template_page-${i}.png /home/daytona/workspace/ocr_output/template_ocr_${i} -l eng --psm 6 2>/dev/null done echo "template OCR done"

Running Command

# OCR patient pages 1-8 for i in 01 02 03 04 05 06 07 08; do tesseract /home/daytona/workspace/ocr_output/patient_page-${i}.png /home/daytona/workspace/ocr_output/patient_ocr_${i} -l eng --psm 6 2>/dev/null done echo "patient pages 1-8 done"

Running Command

# OCR patient pages 9-16 for i in 09 10 11 12 13 14 15 16; do tesseract /home/daytona/workspace/ocr_output/patient_page-${i}.png /home/daytona/workspace/ocr_output/patient_ocr_${i} -l eng --psm 6 2>/dev/null done echo "patient pages 9-16 done"

Running Command

# OCR patient pages 17-23 for i in 17 18 19 20 21 22 23; do tesseract /home/daytona/workspace/ocr_output/patient_page-${i}.png /home/daytona/workspace/ocr_output/patient_ocr_${i} -l eng --psm 6 2>/dev/null done echo "patient pages 17-23 done"

Running Command

echo "=== TEMPLATE PAGES ===" for i in 1 2 3 4 5; do echo "--- Template Page $i ---" cat /home/daytona/workspace/ocr_output/template_ocr_${i}.txt 2>/dev/null || echo "(empty)" echo "" done

Now let me read all the patient OCR text:
Running Command

echo "=== PATIENT PAGES ===" for i in 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23; do echo "--- Patient Page $i ---" cat /home/daytona/workspace/ocr_output/patient_ocr_${i}.txt 2>/dev/null || echo "(empty)" echo "" done

I now have all the data. Let me read the DOCX skill and write the full medical case record.
Reading File
Now I have all the data. This is a Vietnamese hospital record from Can Tho University of Medicine and Pharmacy Hospital. The patient has already received definitive surgery (postoperative), so I use the POSTOPERATIVE format. Let me create the DOCX.
Running Command

mkdir -p /home/daytona/workspace/case-record && ls /home/daytona/skills/docx/

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