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Medical Records on a Huge Scale display storage Image Processing

Radiology. Medical Records on a Huge Scale display storage Image Processing. Clinic/Hospital <-> Radiology. Connect patient data What do we need to connect?. Clinic/Hospital <-> Radiology. Connect patient data What do we need to connect? History Physicians Test results

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Medical Records on a Huge Scale display storage Image Processing

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  1. Radiology Medical Records on a Huge Scale display storage Image Processing

  2. Clinic/Hospital <-> Radiology • Connect patient data • What do we need to connect?

  3. Clinic/Hospital <-> Radiology • Connect patient data • What do we need to connect? • History • Physicians • Test results • Interpretations

  4. Clinic/Hospital <-> Radiology • Connect patient data • What do we need to connect? • History - Text • Physicians - Network • Test results - Text & Images • Interpretations - Text

  5. History • A 54 yr old woman has a head & chest injury from an automobile accident. She is confused and complains of dizziness, partial blindness & headache. • At ED registration she is entered into the Hospital Information System (HIS) and assigned a medical record number. • ED takes her vital signs and sends her to Radiology.

  6. History • First she goes to x-ray, where she has a chest x-ray, (2 4096x4096 images)

  7. X-ray

  8. ADC Compact Digitizer • Small footprint • Cassette buffers: 10 in, 10 out • Automated reading, hands free • High productivity, no waiting • High res option • Full 12bit raw data delivered to processor

  9. ADC Compact Digitizer • Standard resolution (2x2.5K matrix): • 6 pixels/mm on 35x43cm, 35x35cm • 9 pixels/mm on 18x24cm, 24x30cm • Optional high resolution (3x4K matrix): • 9 pixels/mm on 35x43cm, 35x35cm • Grayscale resolution 12bit/pixel

  10. ADC image plates • Available sizes: • 35x43cm (14x17”) • 35x35cm (14x14”) • 24x30cm • 18x24cm • 8x10” • 10x12” • 15x30cm dental (in development)

  11. ID software • Records patient and exam data (“menu”) onto cassette memory • Menu drives subsequent autoprocessing of image • Runs on PC or Sun • Customizable data fields • ID and Preview software can run in synergy on same PC or Sun

  12. Connecting software • Rislink Toolkit: demographic data input from RIS systems • Autorouting software: linking destinations to exam menus • Softcopy Toolkit: image output to non-DICOM PACS systems • DICOM store connection

  13. Quality monitoring tools • Test phantom set: geometrical and contrast test objects • Auto QC Software: automatic measuring and report generating from test phantom exposures

  14. Diagnostic applications • All plain x-ray exams:thorax bucky/bedside, skeleton, abdomen, contrast, uro/tomo, pediatric, etc... • Special exams:dental panoramic, full leg/full spine • Not yet supported:mammography

  15. CT scan • Then she goes to CT, where she gets a head scan (20x2 512x512 images) • and a chest scan (40x2 512x512 images).

  16. CT Chest

  17. History • The x-ray and CT are normal. • How much data has she accumulated so far and how many people have looked at her studies?

  18. US- Blood flow • Now to ultrasound where she has a carotid Doppler study performed (4 64x64 color images).

  19. US

  20. Doppler US

  21. MRI • And then an MRI of her head ( 8 x 20 256x256 images)

  22. MRI

  23. History • By now she is asleep. Her last report shows a history of stroke so although the MRI is negative the neurologists want to start TPA therapy… • At this point she regains consciousness and it is revealed that she has been misidentified. What went wrong?

  24. What does the system look like? • HIS Communicate by HL7 • RIS Communicate by DICOM • PACS

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