CN109785148B - Method, device, equipment and readable storage medium for processing liver disease reimbursement flow - Google Patents
Method, device, equipment and readable storage medium for processing liver disease reimbursement flow Download PDFInfo
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- 238000012550 audit Methods 0.000 claims abstract description 53
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- 206010028980 Neoplasm Diseases 0.000 claims description 62
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- 238000004891 communication Methods 0.000 claims description 12
- 238000012795 verification Methods 0.000 claims description 6
- 230000002457 bidirectional effect Effects 0.000 claims description 5
- 101100295776 Drosophila melanogaster onecut gene Proteins 0.000 abstract description 4
- 102100036475 Alanine aminotransferase 1 Human genes 0.000 description 7
- 108010082126 Alanine transaminase Proteins 0.000 description 7
- 210000002966 serum Anatomy 0.000 description 7
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- 108010003415 Aspartate Aminotransferases Proteins 0.000 description 1
- 102000004625 Aspartate Aminotransferases Human genes 0.000 description 1
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 206010019695 Hepatic neoplasm Diseases 0.000 description 1
- 238000008050 Total Bilirubin Reagent Methods 0.000 description 1
- 238000002555 auscultation Methods 0.000 description 1
- 230000000739 chaotic effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000005111 flow chemistry technique Methods 0.000 description 1
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- 238000007449 liver function test Methods 0.000 description 1
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Abstract
The invention discloses a processing method, a device, equipment and a readable storage medium of liver disease reimbursement flow, which relate to big data technology, and the method comprises the following steps: if a pass instruction that the hepatopathy participating and protecting patient passes the admission reimbursement audit is detected, acquiring first analysis information of the hepatopathy participating and protecting patient based on the pass instruction; the method comprises the steps of obtaining pre-stored partition ordering parameters, extracting parameter content of the partition ordering parameters of the liver disease participating and protecting patient from first analysis information, and obtaining a target partition of the liver disease participating and protecting patient based on the parameter content of the partition ordering parameters; acquiring a first association relation between a pre-stored partition and a reimbursement proportion, acquiring a target reimbursement proportion of the liver disease participating and protecting patient based on the target partition and the first association relation, and admitting reimbursement of the liver disease participating and protecting patient based on the target reimbursement proportion. The invention solves the technical problem that the effective utilization rate of preset liver disease cost is reduced due to a one-cut liver disease reimbursement mode in the prior art.
Description
Technical Field
The present invention relates to the technical field of medical reimbursement, and in particular, to a method, an apparatus, a device, and a readable storage medium for processing a liver disease reimbursement procedure.
Background
At present, the slow disease incidence, especially the liver disease incidence, is continuously increased, so that the number of people who enjoy the liver disease medical reimbursement is continuously increased, and the number of people who enjoy the liver disease medical reimbursement is continuously increased, however, the traditional liver disease medical reimbursement mode is also a one-cut reimbursement mode, namely, all the people who have the liver disease medical reimbursement share the same proportion of charge reimbursement, and the one-cut liver disease reimbursement mode reduces the effective utilization rate of preset liver disease charge.
Disclosure of Invention
The invention mainly aims to provide a processing method, a processing device, processing equipment and a readable storage medium for liver disease reimbursement flow, and aims to solve the technical problem that the effective utilization rate of preset liver disease cost is reduced due to a one-cut liver disease reimbursement mode in the prior art.
In order to achieve the above object, the present invention provides a method for processing a liver disease reimbursement procedure, the method comprising:
if a pass instruction that the hepatopathy participating and protecting patient passes the admission reimbursement audit is detected, acquiring first analysis information of the hepatopathy participating and protecting patient based on the pass instruction;
Acquiring pre-stored partition ordering parameters, extracting parameter contents of the partition ordering parameters of the liver disease participating patient from the first analysis information, and acquiring a target partition of the liver disease participating patient based on the parameter contents of the partition ordering parameters of the liver disease participating patient;
acquiring a first association relation between a pre-stored partition and a reimbursement proportion, acquiring a target reimbursement proportion of the liver disease participating and protecting patient based on the target partition and the first association relation, and admitting reimbursement of the liver disease participating and protecting patient based on the target reimbursement proportion.
Optionally, the pre-stored partition ordering parameters include malignancy probability of liver disease nodules and number of liver disease nodules;
the step of extracting the parameter content of the partition ordering parameter of the liver disease participating patient from the first analysis information, and obtaining the target partition of the liver disease participating patient based on the parameter content of the partition ordering parameter of the liver disease participating patient includes:
acquiring a first pre-stored weight ratio of malignancy probability of liver disease nodules when dividing a liver disease participating patient, and acquiring a second pre-stored weight ratio of the number of liver disease nodules;
Extracting a target malignancy probability of the liver disease nodules and a target number of the liver disease nodules of the liver disease participating patient from the first analysis information;
calculating a target score of the hepatopathy-insured patient based on the first weight ratio and the target malignancy probability, the second weight ratio and the target number, a pre-stored first total score of the malignancy probability of the hepatopathy nodules and a pre-stored second total score of the number of hepatopathy nodules, and a pre-stored first calculation rule of the malignancy probability of hepatopathy nodules and a pre-stored second calculation rule of the number of hepatopathy nodules;
and acquiring a second association relation between the pre-stored score and the subarea, and acquiring a target subarea of the liver disease participating and protecting patient based on the second association relation and the target score.
Optionally, the step of acquiring the target reimbursement proportion of the liver disease participating patient based on the target partition and the first association relationship includes:
if an updating instruction of the first analysis information is received, judging whether the updating instruction carries first updating information of the target malignancy probability or second updating information of the target number;
If the update instruction carries first update information of the target malignancy probability or carries second update information of the target number, updating the target reimbursement proportion of the hepatopathy participating and protecting patient based on the first update information and/or the second update information to obtain an updated reimbursement proportion.
Optionally, the step of obtaining the first analysis information of the liver disease participating patient based on the pass instruction when the pass instruction that the liver disease participating patient passes the admission reimbursement audit is detected includes:
if a pass instruction that the hepatopathy participating and protecting patient passes the admission reimbursement audit is detected, acquiring first analysis information of the hepatopathy participating and protecting patient based on the pass instruction;
extracting non-image data of quantization indexes, data of the non-quantization indexes and original image data of the quantization indexes in the first analysis information;
and establishing a participation file of the liver disease participation patient, and distinguishing and recording non-image data of the quantization index, data of the non-quantization index and original image data of the quantization index in the participation file.
Optionally, the step of differentially recording the non-image data of the quantization index, the data of the non-quantization index, and the original image data of the quantization index includes:
And distinguishing and recording the non-image data of the quantization indexes, the data of the non-quantization indexes and the original image data of the quantization indexes, and designing the bidirectional pointing relation between the non-image data of the quantization indexes and the original image data corresponding to the same quantization indexes after the recording is completed.
Optionally, the step of obtaining the first analysis information of the liver disease participating patient based on the pass instruction when the pass instruction that the liver disease participating patient passes the admission reimbursement audit is detected comprises:
receiving data of non-quantitative indexes of hepatopathy participating patients sent in a preset associated hospital and non-image data of the quantitative indexes;
extracting the number of unquantized indexes and the type of unquantized indexes of the liver disease-participating patient from the data of the unquantized indexes, and judging whether the liver disease-participating patient passes a first admission audit or not based on the number of unquantized indexes and the type of unquantized indexes;
if the liver disease participating and protecting patient passes the first admission audit, auditing the index range of each quantization index in the non-image data of the quantization index so as to judge whether the liver disease participating and protecting patient passes the second admission audit;
and if the liver disease participating and protecting patient passes the second admission verification, judging that the liver disease participating and protecting patient passes the admission reimbursement verification.
The invention also provides a processing device of the liver disease reimbursement flow, which comprises:
the first acquisition module is used for acquiring first analysis information of the hepatopathy participating patient based on the passing instruction when detecting that the hepatopathy participating patient passes the passing instruction of the admission reimbursement audit;
the second acquisition module is used for acquiring pre-stored partition ordering parameters, extracting the parameter content of the partition ordering parameters of the liver disease participating and protecting patient from the first analysis information, and acquiring a target partition of the liver disease participating and protecting patient based on the parameter content of the partition ordering parameters of the liver disease participating and protecting patient;
the third acquisition module is used for acquiring a first association relation between a pre-stored partition and reimbursement proportion, acquiring a target reimbursement proportion of the liver disease participating and protecting patient based on the target partition and the first association relation, and admitting reimbursement of the liver disease participating and protecting patient based on the target reimbursement proportion.
Optionally, the pre-stored partition ordering parameters include malignancy probability of liver disease nodules and number of liver disease nodules;
the second acquisition module includes:
a first obtaining unit, configured to obtain a first weight ratio of pre-stored malignancy probabilities of liver disease nodules when dividing a patient with liver disease, and obtain a second weight ratio of pre-stored numbers of liver disease nodules;
A first extraction unit for extracting a target malignancy probability of the liver disease nodules and a target number of the liver disease nodules of the liver disease-participating patient from the first analysis information;
a calculation unit for calculating a target score of the hepatoprotective patient based on the first weight ratio and the target malignancy probability, the second weight ratio and the target number, a pre-stored first total score of malignancy probability of the hepatopathy nodules and a pre-stored second total score of number of hepatopathy nodules, and a pre-stored first calculation rule of malignancy probability of hepatopathy nodules and a pre-stored second calculation rule of number of hepatopathy nodules;
the second acquisition unit is used for acquiring a second association relation between pre-stored scores and subareas, and acquiring a target subarea of the liver disease participating and protecting patient based on the second association relation and the target scores.
Optionally, the processing device of the liver disease reimbursement procedure further comprises:
the judging module is used for judging whether the updating instruction carries the first updating information of the target malignancy probability or the second updating information of the target number if the updating instruction of the first analysis information is received;
And the updating module is used for updating the target reimbursement proportion of the hepatopathy participating and protecting patient based on the first updating information and/or the second updating information if the updating instruction carries the first updating information of the target malignancy probability or carries the second updating information of the target number so as to obtain the updated reimbursement proportion.
Optionally, the first acquisition module includes:
the third acquisition unit is used for acquiring first analysis information of the hepatopathy participating patient based on the passing instruction when detecting the passing instruction that the hepatopathy participating patient passes the admission reimbursement audit;
a second extraction unit configured to extract non-image data of quantization indexes, data of non-quantization indexes, and original image data of quantization indexes in the first analysis information;
and the recording unit is used for establishing a participation file of the liver disease participation patient, and in the participation file, non-image data of the quantization index, data of the non-quantization index and original image data of the quantization index are recorded in a distinguishing mode.
Optionally, the recording unit includes:
and the distinguishing subunit is used for distinguishing and recording the non-image data of the quantization indexes, the data of the non-quantization indexes and the original image data of the quantization indexes, and designing the bidirectional pointing relation between the non-image data of the quantization indexes and the original image data corresponding to the same quantization indexes after the recording is completed.
Optionally, the processing device of the liver disease reimbursement procedure further comprises:
the receiving module is used for receiving the data of the unquantized indexes of the liver disease participating and protecting patients and the unimage data of the quantized indexes, which are sent in the preset relevant hospitals;
a fourth obtaining module, configured to extract, from the data of the unquantized indexes, the number of unquantized indexes and a type of unquantized indexes of the liver disease-participating patient, and determine whether the liver disease-participating patient passes a first admission audit based on the number of unquantized indexes and the type of unquantized indexes;
the auditing module is used for auditing the index ranges of all the quantized indexes in the non-image data of the quantized indexes if the liver disease participating and protecting patient passes the first admission auditing so as to judge whether the liver disease participating and protecting patient passes the second admission auditing;
and the judging module is used for judging that the liver disease participating patient passes the admission reimbursement audit if the liver disease participating patient passes the second admission audit.
In addition, to achieve the above object, the present invention also provides a processing apparatus of a liver disease reimbursement procedure, the processing apparatus of a liver disease reimbursement procedure including: a memory, a processor, a communication bus, and a processing program of liver disease reimbursement flow stored on the memory,
The communication bus is used for realizing communication connection between the processor and the memory;
the processor is used for executing the processing program of the liver disease reimbursement flow so as to realize the following steps:
if a pass instruction that the hepatopathy participating and protecting patient passes the admission reimbursement audit is detected, acquiring first analysis information of the hepatopathy participating and protecting patient based on the pass instruction;
acquiring pre-stored partition ordering parameters, extracting parameter contents of the partition ordering parameters of the liver disease participating patient from the first analysis information, and acquiring a target partition of the liver disease participating patient based on the parameter contents of the partition ordering parameters of the liver disease participating patient;
acquiring a first association relation between a pre-stored partition and a reimbursement proportion, acquiring a target reimbursement proportion of the liver disease participating and protecting patient based on the target partition and the first association relation, and admitting reimbursement of the liver disease participating and protecting patient based on the target reimbursement proportion.
In addition, to achieve the above object, the present invention also provides a readable storage medium storing one or more programs executable by one or more processors for:
If a pass instruction that the hepatopathy participating and protecting patient passes the admission reimbursement audit is detected, acquiring first analysis information of the hepatopathy participating and protecting patient based on the pass instruction;
acquiring pre-stored partition ordering parameters, extracting parameter contents of the partition ordering parameters of the liver disease participating patient from the first analysis information, and acquiring a target partition of the liver disease participating patient based on the parameter contents of the partition ordering parameters of the liver disease participating patient;
acquiring a first association relation between a pre-stored partition and a reimbursement proportion, acquiring a target reimbursement proportion of the liver disease participating and protecting patient based on the target partition and the first association relation, and admitting reimbursement of the liver disease participating and protecting patient based on the target reimbursement proportion.
When a passing instruction of a hepatopathy participating patient passing through admission reimbursement audit is detected, acquiring first analysis information of the hepatopathy participating patient based on the passing instruction; acquiring pre-stored partition ordering parameters, extracting parameter contents of the partition ordering parameters of the liver disease participating patient from the first analysis information, and acquiring a target partition of the liver disease participating patient based on the parameter contents of the partition ordering parameters of the liver disease participating patient; acquiring a first association relation between a pre-stored partition and a reimbursement proportion, acquiring a target reimbursement proportion of the liver disease participating and protecting patient based on the target partition and the first association relation, and admitting reimbursement of the liver disease participating and protecting patient based on the target reimbursement proportion. In the application, if the hepatopathy participating and protecting patient is detected to pass the reimbursement audit, the parameter content of the subarea ordering parameter is obtained to obtain the target subarea of the hepatopathy participating and protecting patient, and the target subarea of the hepatopathy participating and protecting patient is related to the reimbursement proportion, so that the reimbursement proportion of the hepatopathy participating and protecting patient can be obtained, namely, in the application, the reimbursement proportion is not in a cut-off mode but is related to the subarea to which the hepatopathy participating and protecting patient belongs, and the subarea is related to the subarea ordering parameter of the hepatopathy participating and protecting patient, such as the subarea ordering parameter can influence the illness severity parameter of the hepatopathy participating and protecting patient, thus, the effective utilization rate of the preset hepatopathy expense can be improved, and the technical problem that the effective utilization rate of the preset hepatopathy expense is reduced due to the cut-off hepatopathy reimbursement mode in the prior art is solved.
Drawings
FIG. 1 is a flowchart of a first embodiment of a liver disease reimbursement flowchart according to the present invention;
FIG. 2 is a detailed flow chart of the step of extracting the parameter content of the partition ordering parameters of the liver-protection patient from the first analysis information, and obtaining the target partition of the liver-protection patient based on the parameter content of the partition ordering parameters of the liver-protection patient;
FIG. 3 is a schematic diagram of a device architecture of a hardware operating environment involved in a method according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The invention provides a treatment method of liver disease reimbursement procedure, in a first embodiment of the treatment method of liver disease reimbursement procedure, the treatment method of liver disease reimbursement procedure is applied to a liver disease medical all-in-one machine, and referring to fig. 1, the treatment method of liver disease reimbursement procedure comprises:
step S10, if a passing instruction of the liver disease participating and protecting patient passing the admission reimbursement audit is detected, acquiring first analysis information of the liver disease participating and protecting patient based on the passing instruction;
Step S20, pre-stored partition ordering parameters are obtained, parameter content of the partition ordering parameters of the liver disease participating and protecting patient is extracted from the first analysis information, and a target partition of the liver disease participating and protecting patient is obtained based on the parameter content of the partition ordering parameters of the liver disease participating and protecting patient;
step S30, a first association relation between a pre-stored partition and reimbursement proportion is obtained, a target reimbursement proportion of the liver disease participating and protecting patient is obtained based on the target partition and the first association relation, and reimbursement of the liver disease participating and protecting patient is admitted based on the target reimbursement proportion.
The method comprises the following specific steps:
step S10, if a passing instruction of the liver disease participating and protecting patient passing the admission reimbursement audit is detected, acquiring first analysis information of the liver disease participating and protecting patient based on the passing instruction;
in this embodiment, after the hepatopathy participating patient is detected to pass the approval cancellation audit, that is, after the hepatopathy participating patient is detected to pass the initial approval cancellation audit, the cancellation proportion of what class the hepatopathy participating patient is judged.
Specifically, if a pass instruction that a hepatopathy participating and protecting patient passes through admission reimbursement audit is detected, first analysis information of the hepatopathy participating and protecting patient is obtained based on the pass instruction, wherein the pass instruction carries first analysis information, and the first analysis information comprises all diagnosis parameters of the hepatopathy, such as: the first analysis information comprises the diagnosis parameters, such as malignancy probability, confidence, diameter, subclass, average density and volume of liver nodules of the liver disease participating patient, and the first analysis information comprises the parameters of the liver disease, and the specific parameter content of the parameters, such as the rise of the serum alanine aminotransferase content to 80 mu/L.
Specifically, if the passing instruction of the liver disease participating patient passing the admission reimbursement audit is detected, the step of acquiring the first analysis information of the liver disease participating patient based on the passing instruction comprises the following steps:
step S11, if a pass instruction of the liver disease participating and protecting patient passing the admission reimbursement audit is detected, acquiring first analysis information of the liver disease participating and protecting patient based on the pass instruction;
and if the pass instruction of the hepatopathy participating and protecting patient passing the admission reimbursement audit is detected, extracting the first analysis information of the hepatopathy participating and protecting patient carried by the pass instruction.
Step S12, extracting non-image data of quantization indexes, data of the non-quantization indexes and original image data of the quantization indexes in the first analysis information;
after the first analysis information is extracted, the non-image data of the quantization index, the data of the non-quantization index and the original image data of the quantization index in the first analysis information are extracted again, and in this embodiment, the data in the first analysis information are not stored separately according to the non-image data of the quantization index, the data of the non-quantization index and the original image data of the quantization index, that is, the data composition in the first analysis information is generally chaotic and irregular.
Step S13, establishing a participation file of the liver disease participation patient, wherein non-image data of the quantization indexes, data of the non-quantization indexes and original image data of the quantization indexes are recorded in the participation file in a distinguishing mode.
After the three types of data are extracted, in order to facilitate subsequent management and inquiry, a participation file of the liver disease participation patient is also established, and the data composition in the first analysis information is generally disordered and irregular, so that the non-image data of the quantization index, the data of the non-quantization index and the original image data of the quantization index are classified and stored in the participation file, namely, the non-image data of the quantization index, the data of the non-quantization index and the original image data of the quantization index are recorded in a distinguishing manner in the participation file. Specifically, a specific data name and a data type have a preset association relationship, so that the data classification type can be determined by the data name. That is, it is determined what type of data the data is based on the name of each data in the first analysis information, for example, if the data name is a liver function test report, it is determined that the data is a data type of a non-quantization index.
The step of differentially recording the non-image data of the quantization index, the data of the non-quantization index, and the original image data of the quantization index includes:
step S131, differentiating and recording the non-image data of the quantization index, the data of the non-quantization index and the original image data of the quantization index, and designing the bidirectional pointing relationship between the non-image data of the quantization index and the original image data corresponding to the same quantization index after the recording is completed.
That is, in this embodiment, the quantization indexes are all indexes having original image data, so as to avoid possible data falsification, and thus, the original image data of the quantization indexes are also obtained, the bidirectional pointing relationship between the non-image data of the quantization indexes and the original image data corresponding to the same quantization indexes is designed, so that the subsequent query comparison is performed and the matching is performed in case of doubt.
And if the passing instruction that the hepatopathy participating and protecting patient passes the admission reimbursement audit is detected, the step of acquiring the first analysis information of the hepatopathy participating and protecting patient based on the passing instruction comprises the following steps:
Step S01, receiving data of unquantized indexes of liver disease participating patients and unimage data of quantized indexes, wherein the data are sent in a preset associated hospital;
for the determined chronic disease, i.e. the liver disease in this embodiment, the unquantized index and the quantized index are pre-stored and determined, the unquantized index refers to unquantized index in the diagnosis record and the treatment record or index without image data, such as auscultation result of doctor, detection report, etc., the data corresponding to the unquantized index is unquantized index data, the quantized index refers to the quantifiable index, i.e. index with original image data, such as total bilirubin, aspartate aminotransferase, etc., the data corresponding to the quantized index is quantized index data, and for the liver disease medical all-in-one machine, only the unquantized index data and the quantized index data of the liver disease-participating patient sent in the preset relevant hospital are received.
Step S02, extracting the number of unquantized indexes and the type of unquantized indexes of the liver disease-participating patient from the data of the unquantized indexes, and judging whether the liver disease-participating patient passes a first admission audit or not based on the number of unquantized indexes and the type of unquantized indexes;
After the unquantized index data and the quantized index data of the liver disease participating and protecting patient are obtained, first checking is carried out on the liver disease participating and protecting patient, if the first checking of the liver disease participating and protecting patient is not passed, the subsequent checking flow is not carried out, so that resources are saved, if the first checking of the liver disease participating and protecting patient is passed, the subsequent checking flow is carried out, wherein the first checking checks whether the data of the liver disease participating and protecting patient are complete, namely, whether the number of unquantized indexes and the types of unquantized indexes of the liver disease participating and protecting patient meet preset requirements or not. For example, firstly, whether the number of unquantized indexes is larger than a preset number is judged, for example, if the number of unquantized indexes needed by the liver disease medical all-in-one machine is 5, when the number of unquantized indexes is larger than 5, the step of judging whether a specific unquantized index type meets the requirements or not can be executed, and if the specific unquantized index type meets the requirements, the liver disease participating and protecting patient is determined to pass the first audit.
Step S03, if the liver disease participating patient passes the first admission audit, auditing the index range of each quantization index in the non-image data of the quantization index to judge whether the liver disease participating patient passes the second admission audit;
If the liver disease participating patient passes the first audit, the index range of each quantized index in the quantized index data is audited to judge whether the liver disease participating patient passes the second audit, wherein, for each quantized index data, a preset audit range standard exists in the liver disease medical all-in-one machine, therefore, after the quantized index data is obtained, the index range of each quantized index in the quantized index data is audited, whether the index range of each quantized index in the quantized index data is within the preset audit range standard is judged to judge whether the liver disease participating patient passes the second audit, if the index range of each quantized index in the quantized index data is within the preset audit range standard, the liver disease participating patient is judged to pass the second audit, and if the index range of any quantized index is not within the preset audit range standard, the liver disease participating patient is judged to not pass the second audit.
And step S04, if the liver disease participating patient passes the second admission verification, judging that the liver disease participating patient passes the admission reimbursement verification.
If the liver disease participating patient passes the second audit, determining that the liver disease participating patient passes the admission reimbursement audit, and if the liver disease participating patient does not pass the second audit, not admitting reimbursement of the liver disease participating patient. In the embodiment, the condition that the liver disease participating and protecting patient corresponding to the instruction is confirmed to pass the examination is ensured, and a foundation is laid for improving the effective utilization rate of the preset liver disease cost.
Step S20, pre-stored partition ordering parameters are obtained, parameter content of the partition ordering parameters of the liver disease participating and protecting patient is extracted from the first analysis information, and a target partition of the liver disease participating and protecting patient is obtained based on the parameter content of the partition ordering parameters of the liver disease participating and protecting patient;
each parameter in the first analysis information of the liver disease participating patient can represent the disease severity of the liver disease participating patient, and the parameters have great influence on the disease severity of the liver disease participating patient, namely, the parameters with great influence, for example; the malignancy probability of liver disease nodules, the average density of liver disease nodules and the like, in order to distinguish the severity of liver disease-participating patients, the parameters with large influence degree in the liver disease-participating patients are extracted as partition ordering parameters, one or more partition ordering parameters can be adopted, the partition ordering parameters are pre-stored, the regions are different, and the pre-stored partition ordering parameters can be different.
After the pre-stored partition ordering parameters are obtained, the parameter content of the partition ordering parameters of the liver disease participating patient is obtained from the first analysis information based on the names of the partition ordering parameters, for example, if the partition ordering parameters are serum alanine aminotransferase, the content of serum alanine aminotransferase is obtained from the first analysis information according to the serum alanine aminotransferase names, and because the partition ordering parameters are serum alanine aminotransferase, which partition the liver disease participating patient belongs to is determined according to the content of serum alanine aminotransferase, the target partition of the liver disease participating patient is obtained based on the parameter content of the partition ordering parameters of the liver disease participating patient, namely, the target partition of the liver disease participating patient can be obtained according to the content of serum alanine aminotransferase of the liver disease participating patient.
Step S30, a first association relation between a pre-stored partition and reimbursement proportion is obtained, a target reimbursement proportion of the liver disease participating and protecting patient is obtained based on the target partition and the first association relation, and reimbursement of the liver disease participating and protecting patient is admitted based on the target reimbursement proportion.
In this embodiment, the partition and reimbursement ratio correspond to have a first association relationship, so after the target partition is acquired, the target partition and the first association relationship may acquire a target reimbursement ratio of the liver disease-participating patient, for example, the target reimbursement ratio may be 40%, and the reimbursement of the liver disease-participating patient is admitted based on the target reimbursement ratio.
When a passing instruction of a hepatopathy participating patient passing through admission reimbursement audit is detected, acquiring first analysis information of the hepatopathy participating patient based on the passing instruction; acquiring pre-stored partition ordering parameters, extracting parameter contents of the partition ordering parameters of the liver disease participating patient from the first analysis information, and acquiring a target partition of the liver disease participating patient based on the parameter contents of the partition ordering parameters of the liver disease participating patient; acquiring a first association relation between a pre-stored partition and a reimbursement proportion, acquiring a target reimbursement proportion of the liver disease participating and protecting patient based on the target partition and the first association relation, and admitting reimbursement of the liver disease participating and protecting patient based on the target reimbursement proportion. In the application, if the hepatopathy participating and protecting patient is detected to pass the reimbursement audit, the parameter content of the subarea ordering parameter is obtained to obtain the target subarea of the hepatopathy participating and protecting patient, and the target subarea of the hepatopathy participating and protecting patient is related to the reimbursement proportion, so that the reimbursement proportion of the hepatopathy participating and protecting patient can be obtained, namely, in the application, the reimbursement proportion is not in a cut-off mode but is related to the subarea to which the hepatopathy participating and protecting patient belongs, and the subarea is related to the subarea ordering parameter of the hepatopathy participating and protecting patient, such as the subarea ordering parameter can influence the illness severity parameter of the hepatopathy participating and protecting patient, thus, the effective utilization rate of the preset hepatopathy expense can be improved, and the technical problem that the effective utilization rate of the preset hepatopathy expense is reduced due to the cut-off hepatopathy reimbursement mode in the prior art is solved.
Further, referring to fig. 2, the present invention provides another embodiment of the processing method of liver disease reimbursement flow, in which the pre-stored partition ordering parameters include malignancy probability of liver disease nodules and number of liver disease nodules;
the step of extracting the parameter content of the partition ordering parameter of the liver disease participating patient from the first analysis information, and obtaining the target partition of the liver disease participating patient based on the parameter content of the partition ordering parameter of the liver disease participating patient includes:
step S21, obtaining a first pre-stored weight ratio of malignancy probability of liver disease nodules when dividing a liver disease participating patient, and obtaining a second pre-stored weight ratio of the number of liver disease nodules;
in this embodiment, the partition ranking parameter includes two nodule parameters of malignancy probability of liver disease nodule and number of liver disease nodules, the two nodule parameters have different influence degrees or weight ratios, specifically the two nodule parameters have pre-stored weight ratios, so that a pre-stored first weight ratio of malignancy probability of liver disease nodule when partitioning a liver disease participating patient can be obtained, and a pre-stored second weight ratio of number of liver disease nodule can be obtained.
Step S22, extracting target malignancy probability of the liver disease nodules and target number of the liver disease nodules of the liver disease participating patient from the first analysis information;
and after the first weight ratio and the second weight ratio are obtained, extracting the target malignancy probability of the liver disease nodules and the target number of the liver disease nodules of the liver disease participating patient from the first analysis information, namely obtaining the specific contents of the two nodule parameters. The target malignancy probability may be 80% and the target number may be 5, wherein the target malignancy probability refers to the probability of the most serious or malignant nodule among the individual nodules when there are a plurality of nodules, i.e., the target malignancy probability refers to the highest malignancy probability when there are a plurality of nodules.
Step S23, calculating the target score of the hepatopathy-participating patient based on the first weight ratio, the target malignancy probability, the second weight ratio, the target number, the pre-stored first total score of the malignancy probability of the hepatopathy nodules, the pre-stored second total score of the number of hepatopathy nodules, and the pre-stored first calculation rule of the malignancy probability of the hepatopathy nodules and the pre-stored second calculation rule of the number of hepatopathy nodules;
Calculating a target score of the hepatopathy-insured patient based on the first weight ratio and the target malignancy probability, the second weight ratio and the target number, a pre-stored first total score of the malignancy probability of the hepatopathy nodules and a pre-stored second total score of the number of hepatopathy nodules, and a pre-stored first calculation rule of the malignancy probability of hepatopathy nodules and a pre-stored second calculation rule of the number of hepatopathy nodules; for example, if the first weight ratio and the second weight ratio are respectively 70% and 30%, and the malignancy probability and the number first total score and the second total score are respectively 10 points, the first score is obtained by multiplying the target malignancy probability by the first total score, and if the target number of patients with hepatopathy participation is greater than or equal to 10, the second calculation rule is as follows: if the number of the targets of the liver disease participating and protecting patients is greater than or equal to 10, the score is 10, if the number of the targets is less than 10, the target number is divided from 10, so as to obtain a second score of the liver disease participating and protecting patients, specifically, the target malignancy probability is 80%, the target number is 4, and the target score is 80% ×10×70% +4/10×30% =6.8.
Step S24, a second association relation between pre-stored scores and subareas is obtained, and a target subarea of the liver disease participating patient is obtained based on the second association relation and the target scores.
And after obtaining the target score, obtaining a second association relation between the pre-stored score and the subarea, and obtaining the target subarea of the liver disease participating and protecting patient based on the second association relation and the target score. In this embodiment, since the target partition is accurately obtained, a foundation is laid for accurately canceling the target cancellation proportion.
In the embodiment, a first weight ratio of pre-stored malignant probability of liver disease nodules when dividing the liver disease participating patient is obtained, and a second weight ratio of pre-stored number of liver disease nodules is obtained; extracting a target malignancy probability of the liver disease nodules and a target number of the liver disease nodules of the liver disease participating patient from the first analysis information; calculating a target score of the hepatopathy-insured patient based on the first weight ratio and the target malignancy probability, the second weight ratio and the target number, a pre-stored first total score of the malignancy probability of the hepatopathy nodules and a pre-stored second total score of the number of hepatopathy nodules, and a pre-stored first calculation rule of the malignancy probability of hepatopathy nodules and a pre-stored second calculation rule of the number of hepatopathy nodules; and acquiring a second association relation between the pre-stored score and the subarea, and acquiring a target subarea of the liver disease participating and protecting patient based on the second association relation and the target score. Therefore, a foundation is laid for accurately canceling the target canceling proportion.
Further, the present invention provides another embodiment of the processing method of liver disease reimbursement flow, wherein the step of determining whether the first device information and the second device information are consistent includes, after:
the step of obtaining the target reimbursement proportion of the liver disease participating patient based on the target partition and the first association relation comprises the following steps:
step S40, if an update instruction of the first analysis information is received, judging whether the update instruction carries first update information of the target malignancy probability or second update information of the target number;
in this embodiment, if an update instruction of the first analysis information is received, it is determined whether the update instruction carries first update information of the target malignancy probability or second update information of the target number, that is, whether there is an update of a parameter affecting a target partition change of a patient with liver disease participation.
Step S50, if the update instruction carries first update information of the target malignancy probability or carries second update information of the target number, updating the target reimbursement proportion of the hepatopathy participating and protecting patient based on the first update information and/or the second update information to obtain an update reimbursement proportion.
If the update instruction carries first update information of the target malignancy probability or carries second update information of the target number, updating the target reimbursement proportion of the hepatopathy participating and protecting patient based on the first update information and/or the second update information to obtain an updated reimbursement proportion.
If the update instruction carries the first update information of the target malignancy probability or carries the second update information of the target number, it is obvious that there is an update of parameters affecting the target partition change of the liver disease participating patient, and the target reimbursement proportion of the liver disease participating patient is updated based on the first update information and/or the second update information to obtain an update reimbursement proportion, instead of reimbursement based on the original target reimbursement proportion, for example, as time advances, the illness state of the liver disease participating patient is aggravated, and obviously, multiple reimbursement proportions are added to ensure that the aggravated liver disease participating patient obtains more reimbursement of the expense, so as to improve the utilization rate of the expense.
In this embodiment, if an update instruction of the first analysis information is received, it is determined whether the update instruction carries first update information of the target malignancy probability or second update information of the target number; if the update instruction carries the first update information of the target malignancy probability or the second update information of the target number, updating the target reimbursement proportion of the hepatopathy participating and protecting patient based on the first update information and/or the second update information to obtain the updated reimbursement proportion so as to improve the effective utilization rate of the cost.
Referring to fig. 3, fig. 3 is a schematic device structure diagram of a hardware running environment according to an embodiment of the present invention.
The processing device of the liver disease reimbursement flow in the embodiment of the invention can be a PC, or can be terminal devices such as a smart phone, a tablet personal computer, an electronic book reader, an MP3 (Moving Picture Experts Group Audio Layer III, dynamic image expert compression standard audio layer 3) player, an MP4 (Moving Picture Experts Group Audio Layer IV, dynamic image expert compression standard audio layer 3) player, a portable computer and the like.
As shown in fig. 3, the treatment apparatus of the liver disease reimbursement flow may include: a processor 1001, such as a CPU, memory 1005, and a communication bus 1002. Wherein a communication bus 1002 is used to enable connected communication between the processor 1001 and a memory 1005. The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Optionally, the processing device of the liver disease reimbursement procedure may further include a target user interface, a network interface, a camera, an RF (Radio Frequency) circuit, a sensor, an audio circuit, a WiFi module, and the like. The target user interface may comprise a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the selectable target user interface may further comprise a standard wired interface, a wireless interface. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface).
It will be appreciated by those skilled in the art that the configuration of the treatment device of the liver disease reimbursement procedure shown in fig. 3 does not constitute a limitation of the treatment device of the liver disease reimbursement procedure, and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 3, a processing program of an operating system, a network communication module, and a liver disease reimbursement flow may be included in a memory 1005 as one type of computer storage medium. The operating system is a program that manages and controls the processing device hardware and software resources of the liver disease reimbursement procedure, and supports the execution of the processing program of the liver disease reimbursement procedure and other software and/or programs. The network communication module is used to implement communication between the components in the memory 1005 and other hardware and software in the processing device for the liver disease reimbursement procedure.
In the processing apparatus of the liver disease reimbursement flow shown in fig. 3, the processor 1001 is configured to execute a processing program of the liver disease reimbursement flow stored in the memory 1005, and to implement the steps of the processing method of the liver disease reimbursement flow described above.
The specific implementation manner of the treatment device of the liver disease reimbursement flow is basically the same as that of each embodiment of the treatment method of the liver disease reimbursement flow, and is not repeated here.
The invention also provides a processing device of the liver disease reimbursement flow, which comprises:
the receiving module is used for receiving request information corresponding to a loan request based on a pre-stored receiving port when the loan request of a user side is detected, wherein the request information comprises system sub-information and network sub-information;
the first acquisition module is used for analyzing the system sub-information to acquire first equipment information of the user side and analyzing the network sub-information to acquire second equipment information of the user side;
the comparison module is used for comparing the first equipment information with the second equipment information and judging whether the first equipment information is consistent with the second equipment information or not;
and the first determining module is used for determining that the user side passes the auditing of the equipment dimension if the first equipment information is consistent with the second equipment information.
The specific implementation manner of the treatment device of the liver disease reimbursement flow is basically the same as that of each embodiment of the treatment method of the liver disease reimbursement flow, and is not repeated here.
The present invention provides a readable storage medium storing one or more programs executable by one or more processors for implementing the steps of the liver disease reimbursement flow processing method described in any one of the above.
The specific implementation manner of the readable storage medium of the present invention is basically the same as the embodiments of the processing method of the liver disease reimbursement flow, and is not described herein again.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein, or any application, directly or indirectly, within the scope of the invention.
Claims (7)
1. The processing method of the liver disease reimbursement flow is characterized by comprising the following steps of:
if a pass instruction that the hepatopathy participating and protecting patient passes the admission reimbursement audit is detected, acquiring first analysis information of the hepatopathy participating and protecting patient based on the pass instruction;
acquiring pre-stored partition ordering parameters, extracting parameter contents of the partition ordering parameters of the liver disease participating patient from the first analysis information, and acquiring a target partition of the liver disease participating patient based on the parameter contents of the partition ordering parameters of the liver disease participating patient;
acquiring a first association relation between a pre-stored partition and a reimbursement proportion, acquiring a target reimbursement proportion of the liver disease participating and protecting patient based on the target partition and the first association relation, and admitting reimbursement of the liver disease participating and protecting patient based on the target reimbursement proportion;
The pre-stored partition ordering parameters comprise malignancy probability of liver disease nodules and the number of liver disease nodules;
the step of extracting the parameter content of the partition ordering parameter of the liver disease participating patient from the first analysis information, and obtaining the target partition of the liver disease participating patient based on the parameter content of the partition ordering parameter of the liver disease participating patient includes:
acquiring a first pre-stored weight ratio of malignancy probability of liver disease nodules when dividing a liver disease participating patient, and acquiring a second pre-stored weight ratio of the number of liver disease nodules;
extracting a target malignancy probability of the liver disease nodules and a target number of the liver disease nodules of the liver disease participating patient from the first analysis information;
calculating a target score of the hepatopathy-insured patient based on the first weight ratio and the target malignancy probability, the second weight ratio and the target number, a pre-stored first total score of the malignancy probability of the hepatopathy nodules and a pre-stored second total score of the number of hepatopathy nodules, and a pre-stored first calculation rule of the malignancy probability of hepatopathy nodules and a pre-stored second calculation rule of the number of hepatopathy nodules;
Acquiring a second association relation between pre-stored scores and subareas, and acquiring a target subarea of the liver disease participating patient based on the second association relation and the target scores;
and when detecting that the hepatopathy participating and protecting patient passes the pass instruction of the admission reimbursement audit, acquiring the first analysis information of the hepatopathy participating and protecting patient based on the pass instruction comprises the following steps:
if a pass instruction that the hepatopathy participating and protecting patient passes the admission reimbursement audit is detected, acquiring first analysis information of the hepatopathy participating and protecting patient based on the pass instruction;
extracting non-image data of quantization indexes, data of the non-quantization indexes and original image data of the quantization indexes in the first analysis information;
and establishing a participation file of the liver disease participation patient, and distinguishing and recording non-image data of the quantization index, data of the non-quantization index and original image data of the quantization index in the participation file.
2. The method according to claim 1, wherein the step of acquiring the target reimbursement proportion of the hepatopathy participating patient based on the target partition and the first association relationship comprises:
If an updating instruction of the first analysis information is received, judging whether the updating instruction carries first updating information of the target malignancy probability or second updating information of the target number;
if the update instruction carries first update information of the target malignancy probability or carries second update information of the target number, updating the target reimbursement proportion of the hepatopathy participating and protecting patient based on the first update information and/or the second update information to obtain an updated reimbursement proportion.
3. The method according to claim 1, wherein the step of differentially recording the non-image data of the quantization index, the data of the non-quantization index, and the original image data of the quantization index comprises:
and distinguishing and recording the non-image data of the quantization indexes, the data of the non-quantization indexes and the original image data of the quantization indexes, and designing the bidirectional pointing relation between the non-image data of the quantization indexes and the original image data corresponding to the same quantization indexes after the recording is completed.
4. The method according to claim 1, wherein the step of acquiring the first analysis information of the hepatopathy participating patient based on the pass instruction when the pass instruction of the hepatopathy participating patient passing the admission reimbursement audit is detected comprises:
Receiving data of non-quantitative indexes of hepatopathy participating patients sent in a preset associated hospital and non-image data of the quantitative indexes;
extracting the number of unquantized indexes and the type of unquantized indexes of the liver disease-participating patient from the data of the unquantized indexes, and judging whether the liver disease-participating patient passes a first admission audit or not based on the number of unquantized indexes and the type of unquantized indexes;
if the liver disease participating and protecting patient passes the first admission audit, auditing the index range of each quantization index in the non-image data of the quantization index so as to judge whether the liver disease participating and protecting patient passes the second admission audit;
and if the liver disease participating and protecting patient passes the second admission verification, judging that the liver disease participating and protecting patient passes the admission reimbursement verification.
5. A processing apparatus of a liver disease reimbursement procedure, characterized in that the processing apparatus of a liver disease reimbursement procedure includes:
the first acquisition module is used for acquiring first analysis information of the hepatopathy participating patient based on the passing instruction when detecting that the hepatopathy participating patient passes the passing instruction of the admission reimbursement audit;
the second acquisition module is used for acquiring pre-stored partition ordering parameters, extracting the parameter content of the partition ordering parameters of the liver disease participating and protecting patient from the first analysis information, and acquiring a target partition of the liver disease participating and protecting patient based on the parameter content of the partition ordering parameters of the liver disease participating and protecting patient;
The third acquisition module is used for acquiring a first association relation between a pre-stored partition and a reimbursement proportion, acquiring a target reimbursement proportion of the liver disease participating and protecting patient based on the target partition and the first association relation, and admitting reimbursement of the liver disease participating and protecting patient based on the target reimbursement proportion;
the pre-stored partition ordering parameters comprise malignancy probability of liver disease nodules and the number of liver disease nodules;
the processing device of the liver disease reimbursement flow is used for realizing:
acquiring a first pre-stored weight ratio of malignancy probability of liver disease nodules when dividing a liver disease participating patient, and acquiring a second pre-stored weight ratio of the number of liver disease nodules;
extracting a target malignancy probability of the liver disease nodules and a target number of the liver disease nodules of the liver disease participating patient from the first analysis information;
calculating a target score of the hepatopathy-insured patient based on the first weight ratio and the target malignancy probability, the second weight ratio and the target number, a pre-stored first total score of the malignancy probability of the hepatopathy nodules and a pre-stored second total score of the number of hepatopathy nodules, and a pre-stored first calculation rule of the malignancy probability of hepatopathy nodules and a pre-stored second calculation rule of the number of hepatopathy nodules;
Acquiring a second association relation between pre-stored scores and subareas, and acquiring a target subarea of the liver disease participating patient based on the second association relation and the target scores;
the processing device of the liver disease reimbursement flow is used for realizing:
if a pass instruction that the hepatopathy participating and protecting patient passes the admission reimbursement audit is detected, acquiring first analysis information of the hepatopathy participating and protecting patient based on the pass instruction;
extracting non-image data of quantization indexes, data of the non-quantization indexes and original image data of the quantization indexes in the first analysis information;
and establishing a participation file of the liver disease participation patient, and distinguishing and recording non-image data of the quantization index, data of the non-quantization index and original image data of the quantization index in the participation file.
6. A processing apparatus of a liver disease reimbursement procedure, characterized in that the processing apparatus of a liver disease reimbursement procedure comprises: a memory, a processor, a communication bus, and a processing program of liver disease reimbursement flow stored on the memory,
the communication bus is used for realizing communication connection between the processor and the memory;
the processor is configured to execute a processing program of the liver disease reimbursement procedure to implement the steps of the processing method of the liver disease reimbursement procedure according to any one of claims 1 to 4.
7. A readable storage medium, wherein a processing program of a liver disease reimbursement procedure is stored on the readable storage medium, and when executed by a processor, the processing program of the liver disease reimbursement procedure realizes the steps of the liver disease reimbursement procedure processing method according to any one of claims 1 to 4.
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