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Urinary system tumor clinical decision-making, teaching and scientific research auxiliary support system and method

A clinical decision-making and urinary system technology, applied in the field of smart medical care, to achieve accurate clinical decision-making support

Pending Publication Date: 2022-02-18
四川医枢科技有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, none of the above technical solutions can provide targeted and specific clinical diagnosis and treatment assistance, teaching training support and scientific research support for the entire disease cycle of urinary system tumors.

Method used

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  • Urinary system tumor clinical decision-making, teaching and scientific research auxiliary support system and method
  • Urinary system tumor clinical decision-making, teaching and scientific research auxiliary support system and method
  • Urinary system tumor clinical decision-making, teaching and scientific research auxiliary support system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] In this embodiment, urinary system tumor clinical decision, teaching, research aided support system includes medical and pharmaceutical data storage units, diagnosis and treatment parameter storage units, information input units, comparison processor units, diagnostic results output unit, and early warning and operation recording unit . Refer figure 1 The specific functions of each component are as follows:

[0061]Medical and pharmaceutical data storage units include: medical and pharmaceutical database, standard clinical path and evidence bank, real world clinical path and evidence library. The information stored by the medical and pharmaceutical information includes, but is not limited to, medical and pharmaceutical information, medical policy information, structured case information, patient's hospital management information, disease burden information, drug specification, consumable information, clinical Research data, real world research data, clinical guidelines, and...

Embodiment 2

[0075] Based on the system and method implemented in Example 1. Specific Reference Table 1-2, in Table 1, Table 1 lists the parameters that affect the diagnosis and treatment of renal cancer, each parameter value corresponds to different parameter values ​​after structured processing. Table 2 lists the clinical path of renal cancer represented by parameter encoding.

[0076] Table 1

[0077]

[0078] Table 2

[0079]

[0080] According to Table 1-2, at this time, a patient case information acquired by the information input unit is "the first-way patient, 45 years old, before the diagnosis of kidney cancer in our hospital," II is identified by the imaging examination " And natural language processing, the patient information parameter value obtained after the rules processing is "first-way; 45 years old; diagnosed as renal cancer; clinical stages II", the parameter value of the parameter storage unit is D0 (not initial Treatment); A1 (has been diagnosed with kidney cancer); C3 ...

Embodiment 3

[0082] Based on the system and method implemented in Example 1. Specific Reference Table 3-4, in Table 3, Table 3 lists the parameters that affect the diagnosis and treatment of bladder cancer, each parameter value corresponds to different coding after structuring; 4 Lists the clinical path of bladder cancer represented by parameter encoding.

[0083] table 3

[0084]

[0085] Table 4

[0086]

[0087] According to Table 3-4, the information input unit acquired for a patient's disease case is "patient, male, 50 years old. Before February, it was clinically diagnosed as bladder cancer and accepted Turbt, postoperative pathology showed non-muscle flux infiltration " Turbt is accepted; A1 (bladder cancer); C1 (non-muscle wetting). Clinical path matching is high to low sorting: A1-B1-C1-D1 (100%); A1-B1-C1-D2-E0 (92%); A1-B1-C1-D2-E1 (88%) . The preset match threshold is 92%, so the treatment is recommended to observe or the treatment within the bladder.

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Abstract

The invention discloses a urinary system tumor clinical decision-making, teaching and scientific research auxiliary support system and method. According to the system and method, a medical and pharmaceutical data storage unit, a diagnosis and treatment parameter storage unit, an information input unit, a comparison processor unit, a diagnosis and treatment result output unit and an early warning and operation recording unit are adopted, feasible clinical diagnosis and treatment scheme suggestions and corresponding clinical research and real world research evidence support can be provided for related medical workers according to patient disease specificity information parameter values,the whole disease cycle of screening diagnosis, treatment, monitoring follow-up visit, out-of-hospital management and the like is covered, and doctors are assisted to quickly improve the clinical diagnosis and treatment level, learn and update diagnosis and treatment knowledge, master the research status and development direction of clinical research and real-world diagnosis and treatment, improve the scientific research level and solve the contradiction that time and energy of medical workers are difficult to follow the clinical research progress.

Description

Technical field [0001] The invention belongs to the wisdom of the medical field, further clinical decision-making involved in tumor urinary system, teaching, research and ancillary support system and method for digital medical technology. Background technique [0002] According to the survey, China 2015 new cases of malignant tumors of about 3.929 million cases, deaths of about 2.338 million, China is still showing the overall cancer burden continued to rise, cancer prevention and control situation is still grim. CA cancer statistics, 2015 new cases of kidney cancer will be about 66,800, the overall cancer incidence in our country ranked 14, male cancer incidence ranked 13, female cancer incidence ranked 16th. New cases of bladder cancer will be about 80,500, the overall cancer incidence in our country ranked 12th, male cancer incidence ranked No. 6, female cancer incidence ranked 17th. New cases of prostate cancer will be about 60,300, in our male cancer incidence ranked No. 7. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H50/70G16H20/00G16H20/10G16H10/60G16H10/20G16H70/20G16H70/40
CPCG16H50/20G16H50/70G16H20/00G16H20/10G16H10/60G16H10/20G16H70/20G16H70/40
Inventor 闾磊万虹陶新鑫高阳胡一可
Owner 四川医枢科技有限责任公司
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