Dynamic prognostic assessment and clinical decision support system for chronic lung disease

TWM689119UActive Publication Date: 2026-11-01TAICHUNG VETERANS GENERAL HOSPITAL
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Patent Information

Application Number
TW115204874
Authority / Receiving Office
TW · TW
Patent Type
Utility models
Current Assignee / Owner
Filing Date
2026-05-28
Publication Date
2026-11-01
Estimated Expiration
2036-05-27

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Abstract

The dynamic prognostic assessment and clinical decision support system for chronic lung disease provided in this invention includes a data input communication module for acquiring clinical baseline data of a tested patient, which includes a patient report result and functional exercise test data; a processing device electrically connected to the data input communication module to receive the clinical baseline data, and which includes a survival prediction module based on a tree structure; wherein the processing device uses the survival prediction module to judge the clinical baseline data to classify the tested patient into one of multiple preset risk groups.
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Claims

1. A dynamic prognostic assessment and clinical decision support system for chronic lung disease, comprising: a data input communication module for acquiring clinical baseline data of a tested patient, the clinical baseline data including a patient report and functional exercise test data; and a processing device electrically connected to the data input communication module to receive the data from the clinical baseline data, and comprising a survival prediction module based on a tree structure; wherein, The processing device uses the clinical baseline data to assess the survival prediction module and classifies the tested patient into one of several preset risk groups.

2. The dynamic prognostic assessment and clinical decision support system for chronic lung disease as described in claim 1, wherein, The processing device further includes a prognosis output module that outputs a corresponding mortality risk estimate based on the preset risk group to which the tested patient belongs.

3. A dynamic prognostic assessment and clinical decision support system for chronic lung disease as described in claim 1 or 2, wherein, The decision rules of the survival prediction module include: a first-level decision node, which determines whether the patient's reported result reaches a first threshold. When the first threshold is not reached, the output is a first state; when the first threshold is reached, the output is a second state; and a second-level decision node, which determines whether the corresponding data of the functional motor test reaches a second threshold or a third threshold based on the first and second states determined by the first-level decision node.

4. The dynamic prognostic assessment and clinical decision support system for chronic lung disease as described in claim 3, wherein, The patient's report was based on the results of a respiratory-specific health-related quality of life questionnaire.

5. The dynamic prognostic assessment and clinical decision support system for chronic lung disease as described in claim 4, wherein, The patient reported the St. George Respiratory Questionnaire (SGRQ) total score.

6. The dynamic prognostic assessment and clinical decision support system for chronic lung disease as described in claim 5, wherein, The first threshold is 34.5 points.

7. The dynamic prognostic assessment and clinical decision support system for chronic lung disease as described in claim 3, wherein, The functional movement test data includes the number of repetitions of the one-minute sit-stand test or the walking distance of the six-minute walk test.

8. The dynamic prognostic assessment and clinical decision support system for chronic lung disease as described in claim 7, wherein, When the first-level decision node outputs the first state, the corresponding data for the functional movement test is the walking distance of the six-minute walking test, and it is determined whether the second threshold is reached. When the first-level decision node outputs the second state, the corresponding data for the functional movement test is the number of repetitions of the one-minute sitting test, and it is determined whether the third threshold is reached.

9. The dynamic prognostic assessment and clinical decision support system for chronic lung disease as described in claim 8, wherein, The second threshold is 490 meters, and the third threshold is 21 or 21.

5.

10. The dynamic prognostic assessment and clinical decision support system for chronic lung disease as described in claim 1, wherein, This chronic lung disease is fibrotic interstitial lung disease.