CN111914011A - Cross-platform data conversion method and system - Google Patents
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Abstract
The invention relates to a cross-platform data conversion method and a cross-platform data conversion system, and belongs to the technical field of internet. The data conversion method can automatically establish the data corresponding relation between platforms, compare whether the data units adopted by the platforms are consistent or not, and convert the data with inconsistent units, thereby realizing automatic identification, automatically setting a data conversion standard based on an identification result, and further realizing the cross-platform data conversion method. The cross-platform data conversion method and the cross-platform data conversion system solve the problems that manual judgment of unit consistency and setting of a data conversion mode are low in accuracy and efficiency, and cannot adapt to dynamic changes. The method can quickly and accurately realize cross-platform data conversion, and has a very wide application range.
Description
Technical Field
The invention relates to the technical field of internet, in particular to the technical field of data conversion methods, and specifically relates to a cross-platform data conversion method and a cross-platform data conversion system.
Background
In the prior art, each medical institution has established its own hospital information system. The hospital information system is used for realizing digital management of medical institutions on one hand and is convenient for data summarization and collection on the other hand. Is important for the establishment of a medical insurance system and the management of the personal medical record of the patient.
In a practical application scene, different hospital information systems are often adopted among different hospitals, and each system has own standard for data acquisition. In particular, examination and examination data generated by medical examination of patients are not standardized with respect to each other. This requires a medical record management platform, or other summarizing platform, to convert data of different standards into unified data after acquiring data from each hospital. Generally, such conversion standards need to be manually judged and set, so that the conversion work efficiency is low, the accuracy is limited, and the conversion standards cannot adapt to the possible dynamic changes.
Therefore, in the art, a method for converting data between platforms that can automatically determine and set standards is needed.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide a cross-platform data conversion method capable of realizing automatic identification and setting conversion standards.
In order to achieve the above object, the cross-platform data conversion method of the present invention includes the steps of:
(10) the method comprises the steps that a second platform obtains first data from a first platform, wherein the first data comprise first data names and corresponding first data numerical values, and the second platform is provided with second data names and corresponding second data units;
(20) establishing a corresponding relation between the first data name and the second data name;
(30) comparing whether the second data unit is consistent with the first data unit between the second data name and the first data name with corresponding relation, and if so, taking the first data value as the second data value; if not, converting the first data value into the second data value according to the conversion relation between the first data unit and the second data unit;
(40) and storing the second data value into the second platform in a form corresponding to the second data name.
In the cross-platform data conversion method, the step (30) specifically comprises the following steps:
(31) judging whether the first data has the first data unit, if so, entering a step (33); if not, entering the step (32);
(32) determining a first data unit of the first data value according to the first data name and the first data value, and then entering step (33);
(33) comparing whether the second data unit is consistent with the first data unit, and if so, entering a step (34); if not, entering step (35);
(34) taking said first data value as said second data value;
(35) and converting the first data value into the second data value according to the conversion relation between the first data unit and the second data unit.
In the cross-platform data conversion method, the step (32) specifically comprises the following steps:
(321) determining a plurality of alternative units according to the first data name, wherein each alternative unit has a corresponding numerical range;
(322) and comparing the first data value with the numerical ranges of the multiple candidate units, and if the numerical range of one candidate unit contains the first data value, taking the candidate unit as a first data unit, and then entering the step (33).
In the cross-platform data conversion method, the first data further has a first data generation method corresponding to the first data name, and the first platform generates the first data by using the first data generation method, wherein after the step (321), the method further includes the following steps:
(321-1) screening at least one primary screening candidate unit in the plurality of candidate units, which meets the first data generating method;
the step (322) specifically comprises:
(322a) comparing the first data value with the value range of the primary screening candidate unit, and if the value range contains the first data value, taking the primary screening candidate unit as a first data unit;
(322b) judging whether all the primary screening candidate units are compared, if not, utilizing the next primary screening candidate unit which is not compared, and returning to the step (322 a); if yes, utilizing the alternative units except the initial screening alternative unit, and entering a step (322 c);
(322c) and comparing the first data value with the value range of the alternative unit except the initial screening alternative unit, and if the value range of the alternative unit contains the first data value, taking the alternative unit as the first data unit.
In the cross-platform data conversion method, the step (10) is specifically as follows:
the second platform acquires a data set from the first platform, wherein the data set comprises a plurality of first platform data, and each first data has the first data name and a corresponding first data numerical value;
the step (20) is specifically as follows:
and respectively establishing corresponding relations between the first data names and the second data names in the data group.
In the cross-platform data conversion method, the data set is a data set with the same method, and each first data in the data set with the same method is obtained by adopting the first platform data generation method.
In the cross-platform data conversion method, the step (32) further comprises the following steps:
(323) and determining a unit group of the same method according to the first data unit of at least one first data in the data group of the same method, and determining the first data unit corresponding to other first data in the data group of the same method by using the unit group of the same method.
In the cross-platform data conversion method, the first platform is a medical examination and inspection system, the second platform is a medical data multi-platform acquisition system, and the first data and the second data are medical examination and inspection data.
In the cross-platform data conversion method, the first data generation method is a medical examination and inspection method.
The invention also provides a cross-platform data conversion system, which comprises a first platform and a second platform, wherein the first platform and the second platform carry out information interaction through a network and are used for realizing that:
the method comprises the steps that a second platform obtains first data from a first platform, wherein the first data comprise first data names and corresponding first data numerical values, and the second platform is provided with second data names and corresponding second data units;
establishing a corresponding relation between the first data name and the second data name;
comparing whether the second data unit is consistent with the first data unit between the second data name and the first data name with corresponding relation, and if so, taking the first data value as the second data value; if not, converting the first data value into the second data value according to the conversion relation between the first data unit and the second data unit;
and storing the second data value into the second platform in a form corresponding to the second data name.
By adopting the cross-platform data conversion method and the system, the data corresponding relation between the platforms can be automatically established, whether the data units adopted by the platforms are consistent or not is compared, and the data with inconsistent units is converted, so that the automatic identification is realized, the data conversion standard is automatically set based on the identification result, and the cross-platform data conversion method is further realized. The cross-platform data conversion method and the cross-platform data conversion system solve the problems that manual judgment of unit consistency and setting of a data conversion mode are low in accuracy and efficiency, and cannot adapt to dynamic changes. The method can quickly and accurately realize cross-platform data conversion, and has a very wide application range.
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FIG. 1 is a flowchart illustrating steps of a cross-platform data transformation method according to the present invention.
Detailed Description
In order to clearly understand the technical contents of the present invention, the following examples are given in detail.
Fig. 1 is a flowchart illustrating steps of a cross-platform data conversion method according to the present invention.
In one embodiment, the cross-platform data conversion method comprises the following steps:
(10) the method comprises the steps that a second platform obtains first data from a first platform, wherein the first data comprise first data names and corresponding first data numerical values, and the second platform is provided with second data names and corresponding second data units;
(20) establishing a corresponding relation between the first data name and the second data name;
(30) comparing whether the second data unit is consistent with the first data unit between the second data name and the first data name with corresponding relation, and if so, taking the first data value as the second data value; if not, converting the first data value into the second data value according to the conversion relation between the first data unit and the second data unit;
(40) and storing the second data value into the second platform in a form corresponding to the second data name.
In the method, the first platform can be a medical examination and inspection system, the second platform can be a medical data multi-platform acquisition system, and the first data and the second data are medical examination and inspection data. The first data generation method is a medical examination and inspection method.
In a preferred embodiment, the step (30) specifically comprises the following steps:
(31) judging whether the first data has the first data unit, if so, entering a step (33); if not, entering the step (32);
(32) determining a first data unit of the first data value according to the first data name and the first data value, and then entering step (33);
(33) comparing whether the second data unit is consistent with the first data unit, and if so, entering a step (34); if not, entering step (35);
(34) taking said first data value as said second data value;
(35) and converting the first data value into the second data value according to the conversion relation between the first data unit and the second data unit.
In a further preferred embodiment, the step (32) specifically comprises the following steps:
(321) determining a plurality of alternative units according to the first data name, wherein each alternative unit has a corresponding numerical range;
(322) and comparing the first data value with the numerical ranges of the multiple candidate units, and if the numerical range of one candidate unit contains the first data value, taking the candidate unit as a first data unit, and then entering the step (33).
In a further preferred embodiment, the first data further has a first data generating method corresponding to the first data name, and the first platform generates the first data by using the first data generating method, wherein after the step (321), the method further includes the following steps:
(321-1) screening at least one primary screening candidate unit in the plurality of candidate units, which meets the first data generating method;
the step (322) specifically comprises:
(322a) comparing the first data value with the value range of the primary screening candidate unit, and if the value range contains the first data value, taking the primary screening candidate unit as a first data unit;
(322b) judging whether all the primary screening candidate units are compared, if not, utilizing the next primary screening candidate unit which is not compared, and returning to the step (322 a); if yes, utilizing the alternative units except the initial screening alternative unit, and entering a step (322 c);
(322c) and comparing the first data value with the value range of the alternative unit except the initial screening alternative unit, and if the value range of the alternative unit contains the first data value, taking the alternative unit as the first data unit.
In another preferred embodiment, the step (10) is specifically:
the second platform acquires a data set from the first platform, wherein the data set comprises a plurality of first platform data, and each first data has the first data name and a corresponding first data numerical value;
the step (20) is specifically as follows:
and respectively establishing corresponding relations between the first data names and the second data names in the data group.
In a further preferred embodiment, the data set is a data set of the same method, and each first data in the data set of the same method is obtained by using the first platform data generation method. The step (32) further comprises the following steps:
(323) and determining a unit group of the same method according to the first data unit of at least one first data in the data group of the same method, and determining the first data unit corresponding to other first data in the data group of the same method by using the unit group of the same method.
The invention also provides a cross-platform data conversion system, which comprises a first platform and a second platform, wherein the first platform and the second platform carry out information interaction through a network and are used for realizing that:
the method comprises the steps that a second platform obtains first data from a first platform, wherein the first data comprise first data names and corresponding first data numerical values, and the second platform is provided with second data names and corresponding second data units;
establishing a corresponding relation between the first data name and the second data name;
comparing whether the second data unit is consistent with the first data unit between the second data name and the first data name with corresponding relation, and if so, taking the first data value as the second data value; if not, converting the first data value into the second data value according to the conversion relation between the first data unit and the second data unit;
and storing the second data value into the second platform in a form corresponding to the second data name.
In practical applications, as shown in table 1 below for example, the cross-platform data transformation method of the present invention is used to import data of a first platform (e.g., a hospital HIS system, etc.) into a second platform (e.g., a social security platform, a hospital body platform, etc.).
TABLE 1 Cross-platform data conversion example Table
First, a second platform acquires first data from a first platform, wherein the first data comprises a first data name and a corresponding first data numerical value, and possibly a first data unit, and the second platform has a second data name and a corresponding second data unit.
And establishing a data corresponding relation between the two platforms according to the first data name and the second data name.
And then judging whether the data units of the first data and the second data which correspond to each other are consistent. If they are consistent (e.g., data number 1 in the table), the first data value may be used as the second data value. If the two are not consistent, the first data value needs to be converted into the second data value according to the conversion relation between the first data unit and the second data unit.
In addition, there may also be a case where the first platform does not include a data unit (data of number 7 to number 11 in table 1). In such a case, the actual unit, for example, the data of number 8, can be determined by the name and value of the first platform data, the unit is determined to be mg/g by the first platform data bbbb.
However, in real-world operation, there may be a case where the first platform data is in a non-standard unit or the data is not in a normal range, and a manual check is often required for the case. However, the present invention further provides a form of determining the unit based on the detection method. For example, the data of number 9 in the table can be determined to have a unit of g/g based on the same detection method (data acquisition method) as that of number 8, and then compared whether the two platform units are identical.
And finally, storing the second data value into the second platform in a form corresponding to the second data name so as to complete the conversion of the data from the first platform to the second platform.
By adopting the cross-platform data conversion method and the system, the data corresponding relation between the platforms can be automatically established, whether the data units adopted by the platforms are consistent or not is compared, and the data with inconsistent units is converted, so that the automatic identification is realized, the data conversion standard is automatically set based on the identification result, and the cross-platform data conversion method is further realized. The cross-platform data conversion method and the cross-platform data conversion system solve the problems that manual judgment of unit consistency and setting of a data conversion mode are low in accuracy and efficiency, and cannot adapt to dynamic changes. The method can quickly and accurately realize cross-platform data conversion, and has a very wide application range.
In this specification, the invention has been described with reference to specific embodiments thereof. It will, however, be evident that various modifications and changes may be made thereto without departing from the broader spirit and scope of the invention. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.
Claims (10)
1. A method for cross-platform data transformation, the method comprising the steps of:
(10) the method comprises the steps that a second platform obtains first data from a first platform, wherein the first data comprise first data names and corresponding first data numerical values, and the second platform is provided with second data names and corresponding second data units;
(20) establishing a corresponding relation between the first data name and the second data name;
(30) comparing whether the second data unit is consistent with the first data unit between the second data name and the first data name with corresponding relation, and if so, taking the first data value as the second data value; if not, converting the first data value into the second data value according to the conversion relation between the first data unit and the second data unit;
(40) and storing the second data value into the second platform in a form corresponding to the second data name.
2. The cross-platform data transformation method of claim 1, wherein: the step (30) specifically comprises the following steps:
(31) judging whether the first data has the first data unit, if so, entering a step (33); if not, entering the step (32);
(32) determining a first data unit of the first data value according to the first data name and the first data value, and then entering step (33);
(33) comparing whether the second data unit is consistent with the first data unit, and if so, entering a step (34); if not, entering step (35);
(34) taking said first data value as said second data value;
(35) and converting the first data value into the second data value according to the conversion relation between the first data unit and the second data unit.
3. The cross-platform data transformation method of claim 2, wherein: the step (32) specifically comprises the following steps:
(321) determining a plurality of alternative units according to the first data name, wherein each alternative unit has a corresponding numerical range;
(322) and comparing the first data value with the numerical ranges of the multiple candidate units, and if the numerical range of one candidate unit contains the first data value, taking the candidate unit as a first data unit, and then entering the step (33).
4. The cross-platform data transformation method of claim 3, wherein: the first data also has a first data generating method corresponding to the first data name, the first platform generates the first data by using the first data generating method, and the method further comprises the following steps after the step (321):
(321-1) screening at least one primary screening candidate unit in the plurality of candidate units, which meets the first data generating method;
the step (322) specifically comprises:
(322a) comparing the first data value with the value range of the primary screening candidate unit, and if the value range contains the first data value, taking the primary screening candidate unit as a first data unit;
(322b) judging whether all the primary screening candidate units are compared, if not, utilizing the next primary screening candidate unit which is not compared, and returning to the step (322 a); if yes, utilizing the alternative units except the initial screening alternative unit, and entering a step (322 c);
(322c) and comparing the first data value with the value range of the alternative unit except the initial screening alternative unit, and if the value range of the alternative unit contains the first data value, taking the alternative unit as the first data unit.
5. The cross-platform data transformation method of claim 4, wherein:
the step (10) is specifically as follows:
the second platform acquires a data set from the first platform, wherein the data set comprises a plurality of first platform data, and each first data has the first data name and a corresponding first data numerical value;
the step (20) is specifically as follows:
and respectively establishing corresponding relations between the first data names and the second data names in the data group.
6. The cross-platform data transformation method of claim 5, wherein:
the data set is a data set of the same method, and each first data in the data set of the same method is obtained by adopting the first platform data generation method.
7. The cross-platform data transformation method of claim 6, wherein:
the step (32) further comprises the following steps:
(323) and determining a unit group of the same method according to the first data unit of at least one first data in the data group of the same method, and determining the first data unit corresponding to other first data in the data group of the same method by using the unit group of the same method.
8. The cross-platform data transformation method of claim 7, wherein:
the first platform is a medical examination and inspection system, the second platform is a medical data multi-platform acquisition system, and the first data and the second data are medical examination and inspection data.
9. The cross-platform data transformation method of claim 8, wherein: the first data generation method is a medical examination and inspection method.
10. A cross-platform data conversion system is characterized by comprising a first platform and a second platform, wherein the first platform and the second platform carry out information interaction through a network and are used for realizing:
the method comprises the steps that a second platform obtains first data from a first platform, wherein the first data comprise first data names and corresponding first data numerical values, and the second platform is provided with second data names and corresponding second data units;
establishing a corresponding relation between the first data name and the second data name;
comparing whether the second data unit is consistent with the first data unit between the second data name and the first data name with corresponding relation, and if so, taking the first data value as the second data value; if not, converting the first data value into the second data value according to the conversion relation between the first data unit and the second data unit;
and storing the second data value into the second platform in a form corresponding to the second data name.
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| CN113488182A (en) * | 2021-05-25 | 2021-10-08 | 北京大学 | Multi-source heterogeneous medical laboratory examination data processing method, device, equipment and medium |
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| CN110955715A (en) * | 2019-12-03 | 2020-04-03 | 望海康信(北京)科技股份公司 | ERP system, data conversion method and device of target platform and electronic equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113488182A (en) * | 2021-05-25 | 2021-10-08 | 北京大学 | Multi-source heterogeneous medical laboratory examination data processing method, device, equipment and medium |
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