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PATIENT INFORMATION PROVISION METHOD, PATIENT INFORMATION PROVISION APPARATUS, AND COMPUTER-READABLE RECORDING MEDIUM

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  • Publication Date:
    March 6, 2025
  • Additional Information
    • Document Number:
      20250078967
    • Appl. No:
      18/722391
    • Application Filed:
      December 02, 2022
    • Abstract:
      There is provided a method for providing patient information. The method comprises receiving image data of a medical record of a patient; converting the image data of the medical record into text data; extracting item data from the text data; evaluating reliability of the extracted item data; and providing patient information regarding the extracted item data if the evaluated reliability is equal to or greater than a pre-determined threshold value. According to the method for providing patient information, there is provided a have the effect of effectively extracting necessary information from unstandardized medical records.
    • Claim:
      1. A method for providing patient information, the method comprising: receiving image data of a medical record of a patient; converting the image data of the medical record into text data; extracting item data from the text data; evaluating reliability of the extracted item data; and providing patient information regarding the extracted item data if the evaluated reliability is equal to or greater than a pre-determined threshold value.
    • Claim:
      2. The method of claim 1, wherein the evaluating reliability of the item data includes: comparing the extracted item data with preset standard item data; and evaluating the reliability of the item data by determining whether essential items of the preset standard item data are included in the extracted item data.
    • Claim:
      3. The method of claim 2, further comprises re-extracting item data using a pre-trained machine learning model if the essential items of the standard item data are not included in the extracted item data.
    • Claim:
      4. The method of claim 2, wherein the comparing the extracted item data with standard item data is performed using at least one of a rule-based model, a Burt model, a decision tree model, and a neural network model.
    • Claim:
      5. The method of claim 1, wherein the medical record includes at least one of a pathology report, a genetic examination report, a regional imaging examination report (CT and MRI), a nuclear medicine imaging examination report (PET/CT), and a prescription.
    • Claim:
      6. The method of claim 1, wherein the item data includes at least one of the name, date of birth, age, sex, treatment history, biopsy results, genetic examination results, imaging examination results, prescription drug, and medicines of the patient.
    • Claim:
      7. The method of claim 1, wherein the patient information includes at least one of patient's diagnosis, stage, whether surgery is performed, surgery name, customized treatment information, treatment process, and information on clinical trials in which the patient is able to participate.
    • Claim:
      8. A device for providing patient information, the device comprising: a memory configured to store one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, wherein the instructions, when executed by the processor, cause the processor to: receive image data of a medical record of a patient; convert the image data of the medical record into text data; extract item data from the text data; evaluate reliability of the extracted item data; and provide patient information regarding the extracted item data if the evaluated reliability is equal to or greater than a pre-determined threshold value.
    • Claim:
      9. The device of claim 8, wherein the processor is configured to compare the extracted item data with preset standard item data, and evaluate the reliability of the item data by determining whether essential items of the preset standard item data are included in the extracted item data.
    • Claim:
      10. The device of claim 9, the processor is configured to re-extract item data using a pre-trained machine learning model if the essential items of the standard item data are not included in the extracted item data.
    • Claim:
      11. The device of claim 9, the processor is configured to compare the extracted item data with standard item data using at least one of a rule-based model, a Burt model, a decision tree model, and a neural network model.
    • Claim:
      12. The device of claim 8, wherein the medical record includes at least one of a pathology report, a genetic examination report, a regional imaging examination report (CT and MRI), a nuclear medicine imaging examination report (PET/CT), and a prescription.
    • Claim:
      13. The device of claim 1, wherein the item data includes at least one of the name, date of birth, age, sex, treatment history, biopsy results, genetic examination results, imaging examination results, prescription drug, and medicines of the patient.
    • Claim:
      14. The device of claim 1, wherein the patient information includes at least one of patient's diagnosis, stage, whether surgery is performed, surgery name, customized treatment information, treatment process, and information on clinical trials in which the patient is able to participate.
    • Claim:
      15. A non-transitory computer readable storage medium storing computer executable instructions, wherein the instructions, when executed by a processor, cause the processor to perform a method for providing patient information, the method comprising: receiving image data of a medical record of a patient; converting the image data of the medical record into text data; extracting item data from the text data; evaluating reliability of the extracted item data; and providing patient information regarding the extracted item data if the evaluated reliability is equal to or greater than a pre-determined threshold value.
    • Claim:
      16. The non-transitory computer readable storage medium of claim 15, wherein the evaluating reliability of the item data includes: comparing the extracted item data with preset standard item data; and evaluating the reliability of the item data by determining whether essential items of the preset standard item data are included in the extracted item data.
    • Claim:
      17. The non-transitory computer readable storage medium of claim 16, further comprises re-extracting item data using a pre-trained machine learning model if the essential items of the standard item data are not included in the extracted item data.
    • Claim:
      18. The non-transitory computer readable storage medium of claim 2, wherein the comparing the extracted item data with standard item data is performed using at least one of a rule-based model, a Burt model, a decision tree model, and a neural network model.
    • Claim:
      19. The method of claim 1, wherein the medical record includes at least one of a pathology report, a genetic examination report, a regional imaging examination report (CT and MRI), a nuclear medicine imaging examination report (PET/CT), and a prescription.
    • Claim:
      20. The method of claim 1, wherein the item data includes at least one of the name, date of birth, age, sex, treatment history, biopsy results, genetic examination results, imaging examination results, prescription drug, and medicines of the patient.
    • Current International Class:
      16; 16
    • Accession Number:
      edspap.20250078967