CN112102908A - Credible cloud signature method for electronic medical record - Google Patents
Credible cloud signature method for electronic medical record Download PDFInfo
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- CN112102908A CN112102908A CN202011000303.5A CN202011000303A CN112102908A CN 112102908 A CN112102908 A CN 112102908A CN 202011000303 A CN202011000303 A CN 202011000303A CN 112102908 A CN112102908 A CN 112102908A
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000012795 verification Methods 0.000 claims abstract description 73
- 238000013075 data extraction Methods 0.000 claims abstract description 10
- 239000000284 extract Substances 0.000 claims abstract description 10
- 230000008569 process Effects 0.000 claims description 14
- 238000000605 extraction Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 101000878595 Arabidopsis thaliana Squalene synthase 1 Proteins 0.000 claims description 3
- 101000642811 Oryza sativa subsp. indica Soluble starch synthase 1, chloroplastic/amyloplastic Proteins 0.000 claims description 3
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
Abstract
The invention discloses a credible cloud signature method of an electronic medical record, which comprises the following steps: the method comprises the following steps: uploading the paper photos of the user to generate an electronic medical record; step two: importing the electronic medical record into a data extraction system, and verifying and signing by a user through a signing terminal; step three: the data extraction system extracts image information of the user signature from the electronic medical record, extracts the image information and stores pre-stored signature information; step four: the signature information of the user during signature operation through the signature terminal is also input into the electronic medical record; step five: extracting signature information of the user for verification, wherein the cloud signature is credible when the verification is passed, and secondary verification is carried out when the verification fails; step six: and during secondary verification, the user performs signature operation again through the signature terminal, and the re-signature information is compared with the signature information during secondary signature. The invention can better verify the signature, has better safety and is more worthy of popularization and use.
Description
Technical Field
The invention relates to the field of electronic medical records, in particular to a trusted cloud signature method for an electronic medical record.
Background
The medical record is the record of the medical staff in the process of the medical activities of examining, diagnosing, treating, etc. for the occurrence, development and outcome of the diseases of the patients. The medical health record of the patient is also written according to the specified format and requirements by carrying out induction, arrangement and comprehensive analysis on the collected data. The medical record is the summary of clinical practice and the legal basis for exploring disease laws and dealing with medical disputes. The electronic medical records, which are also a kind of medical records and are digitized medical records stored, managed, transmitted and reproduced by electronic equipment computers, health cards and the like, are also called computerized medical record systems or computer-based patient records, and are used for replacing handwritten paper medical records. The content of the method comprises all information of the paper medical record, and the method for instantly verifying the electronic medical record in a trusted cloud signature mode.
The existing credible cloud signature method has the defects of poor verification effect, easy occurrence of verification failure, poor safety, easy leakage of medical record data and certain influence on the use of the method, so that the electronic medical record credible cloud signature method is provided.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the problem that the existing credible cloud signature method is poor in verification effect, prone to occurrence of verification failure, poor in safety, prone to cause medical record data leakage and prone to influence use of the method is solved, and therefore the electronic medical record credible cloud signature method is provided.
The invention solves the technical problems through the following technical scheme, and the invention comprises the following steps:
the method comprises the following steps: uploading the paper photos of the user to generate an electronic medical record;
step two: importing the electronic medical record into a data extraction system, and verifying and signing by a user through a signing terminal;
step three: the data extraction system extracts image information of the user signature from the electronic medical record, extracts the image information and stores pre-stored signature information;
step four: the signature information of the user during signature operation through the signature terminal is also input into the electronic medical record;
step five: extracting signature information of the user for verification, wherein the cloud signature is credible when the verification is passed, and secondary verification is carried out when the verification fails;
step six: and during secondary verification, the user performs signature operation again through the signature terminal, the re-signature information is compared with the signature information during secondary signature, and the secondary verification is passed if the comparison is passed.
Preferably, the electronic medical record generation process in the first step is as follows:
s1: continuously collecting X paper medical record photos, and performing definition extraction on the X paper medical record photos;
s2: ranking the X paper medical record photos from high to low according to the definition;
s3: extracting the medical record photos with the highest photo definition as electronic medical record extraction photos, and setting the electronic medical record photos with the second highest definition as standby photos;
s4: the electronic medical record extracted picture is extracted by an OCR character recognition technology, and character information in the electronic medical record extracted picture is stored as electronic medical record information.
Preferably, in the second step, the user acquires the secondary verification information when performing the signing operation using the signing terminal, and a specific acquisition process of the second verification information is as follows:
SS 1: recording the time point information of starting signature marks it as T1;
SS 2: calculating the time point information of the next ending signature and marking the time point information T2;
SS 3: the time difference T is obtained by calculating the difference between the time point T2 of ending the signature and the time point T1 of starting the signatureDifference (D)I.e. secondary authentication information.
Preferably, the specific process of pre-storing the signature information in the third step is as follows: and extracting image information of the user signature in the electronic medical record, and extracting a photo cut into a preset size, wherein the preset size photo is pre-stored signature information.
Preferably, the specific processing procedure of signature information verification in the step five is as follows:
SSS 1: extracting signature information export when a user carries out signature verification operation through a signature terminal, and processing the signature information export into a photo with a preset size, namely real-time signature information;
SSS 2: pre-storing signature information, and dividing nine parts of the signature information into a K1 region, a K2 region, a K3 region, a K4 region, a K5 region, a K6 region, a K7 region, a K8 region and a K9 region;
SSS 3: dividing the real-time signature information nine into a W1 region, a W2 region, a W3 region, a W4 region, a W5 region, a W6 region, a W7 region, a W8 region and a W9 region;
SSS 4: m regions selected from K1 region, K2 region, K3 region, K4 region, K5 region, K6 region, K7 region, K8 region and K9 region, and m regions corresponding to W1 region, W2 region, W3 region, W4 region, W5 region, W6 region, W7 region, W8 region and W9 region, wherein m is more than or equal to 8 and more than or equal to 3;
SSS 5: comparing the similarity of the m areas, and when the similarity of the areas exceeding 0.7m is greater than a preset value, the verification is passed;
SSS 6: when the similarity is larger than the preset value, the verification area can be replaced when the area is between 0.69m and 0.5m for verification again, and when the similarity of the verification again is larger than the preset value and exceeds 0.7m, the verification is passed.
Preferably, the specific process of the secondary verification in the step six is as follows: and the user carries out signature operation again through the signature terminal, the signature content during signature again is converted into a signature photo, the signature photo is compared with the signature information of the pre-stored signature in signature similarity, the signature photo passes verification when the signature similarity is larger than a preset value, and the camera of the signature equipment is called to acquire the face image information of the verifier when the signature photo passes verification again.
Compared with the prior art, the invention has the following advantages: according to the credible cloud signature method for the electronic medical record, two continuous verification processes are set, the occurrence of the situation that the signature is not credible due to the fact that the verification deviation occurs can be effectively reduced, the verification accuracy of the method is improved, the safety of the method is effectively improved, the medical record data of a user can be better prevented from being leaked through the method, and the method is more worthy of popularization and use.
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FIG. 1 is a block flow diagram of the present invention.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1, the present embodiment provides a technical solution: a credible cloud signature method for an electronic medical record comprises the following steps:
the method comprises the following steps: uploading the paper photos of the user to generate an electronic medical record;
step two: importing the electronic medical record into a data extraction system, and verifying and signing by a user through a signing terminal;
step three: the data extraction system extracts image information of the user signature from the electronic medical record, extracts the image information and stores pre-stored signature information;
step four: the signature information of the user during signature operation through the signature terminal is also input into the electronic medical record;
step five: extracting signature information of the user for verification, wherein the cloud signature is credible when the verification is passed, and secondary verification is carried out when the verification fails;
step six: and during secondary verification, the user performs signature operation again through the signature terminal, the re-signature information is compared with the signature information during secondary signature, and the secondary verification is passed if the comparison is passed.
Preferably, the electronic medical record generation process in the first step is as follows:
s1: continuously collecting X paper medical record photos, and performing definition extraction on the X paper medical record photos;
s2: ranking the X paper medical record photos from high to low according to the definition;
s3: extracting the medical record photos with the highest photo definition as electronic medical record extraction photos, and setting the electronic medical record photos with the second highest definition as standby photos;
s4: the electronic medical record extracted picture is extracted by an OCR character recognition technology, and character information in the electronic medical record extracted picture is stored as electronic medical record information.
In the second step, the user acquires the secondary verification information when using the signature terminal to perform the signature operation, and the specific acquisition process of the second verification information is as follows:
SS 1: recording the time point information of starting signature marks it as T1;
SS 2: calculating the time point information of the next ending signature and marking the time point information T2;
SS 3: the time difference T is obtained by calculating the difference between the time point T2 of ending the signature and the time point T1 of starting the signatureDifference (D)I.e. secondary authentication information.
The specific process of pre-storing the signature information in the third step is as follows: and extracting image information of the user signature in the electronic medical record, and extracting a photo cut into a preset size, wherein the preset size photo is pre-stored signature information.
The specific processing procedure of signature information verification in the step five is as follows:
SSS 1: extracting signature information export when a user carries out signature verification operation through a signature terminal, and processing the signature information export into a photo with a preset size, namely real-time signature information;
SSS 2: pre-storing signature information, and dividing nine parts of the signature information into a K1 region, a K2 region, a K3 region, a K4 region, a K5 region, a K6 region, a K7 region, a K8 region and a K9 region;
SSS 3: dividing the real-time signature information nine into a W1 region, a W2 region, a W3 region, a W4 region, a W5 region, a W6 region, a W7 region, a W8 region and a W9 region;
SSS 4: m regions selected from K1 region, K2 region, K3 region, K4 region, K5 region, K6 region, K7 region, K8 region and K9 region, and m regions corresponding to W1 region, W2 region, W3 region, W4 region, W5 region, W6 region, W7 region, W8 region and W9 region, wherein m is more than or equal to 8 and more than or equal to 3;
SSS 5: comparing the similarity of the m areas, and when the similarity of the areas exceeding 0.7m is greater than a preset value, the verification is passed;
SSS 6: when the similarity is larger than the preset value, the verification area can be replaced when the area is between 0.69m and 0.5m for verification again, and when the similarity of the verification again is larger than the preset value and exceeds 0.7m, the verification is passed.
The specific process of the secondary verification in the step six is as follows: and the user carries out signature operation again through the signature terminal, the signature content during signature again is converted into a signature photo, the signature photo is compared with the signature information of the pre-stored signature in signature similarity, the signature photo passes verification when the signature similarity is larger than a preset value, and the camera of the signature equipment is called to acquire the face image information of the verifier when the signature photo passes verification again.
In summary, when the electronic medical record is used, the paper of the user uploads the photo to generate the electronic medical record, the electronic medical record is guided into the data extraction system, the user performs signature verification operation through the signature terminal, the data extraction system extracts and extracts the image information of the user signature from the electronic medical record, pre-stored signature information is stored, the signature information of the user during signature operation through the signature terminal is also input into the electronic medical record, the signature information of the user is extracted for verification, if the verification is passed, the cloud signature is credible, if the verification is failed, secondary verification is performed, if the verification is failed, the user performs signature operation again through the signature terminal, the re-signed information is compared with the signature information during secondary signature, if the comparison is passed, the secondary verification is passed, the signature is credible.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (6)
1. A credible cloud signature method for an electronic medical record is characterized by comprising the following steps:
the method comprises the following steps: uploading the paper photos of the user to generate an electronic medical record;
step two: importing the electronic medical record into a data extraction system, and verifying and signing by a user through a signing terminal;
step three: the data extraction system extracts image information of the user signature from the electronic medical record, extracts the image information and stores pre-stored signature information;
step four: the signature information of the user during signature operation through the signature terminal is also input into the electronic medical record;
step five: extracting signature information of the user for verification, wherein the cloud signature is credible when the verification is passed, and secondary verification is carried out when the verification fails;
step six: and during secondary verification, the user performs signature operation again through the signature terminal, the re-signature information is compared with the signature information during secondary signature, and the secondary verification is passed if the comparison is passed.
2. The method for trusted cloud signature of electronic medical record according to claim 1, wherein: the electronic medical record generation process in the step one is as follows:
s1: continuously collecting X paper medical record photos, and performing definition extraction on the X paper medical record photos;
s2: ranking the X paper medical record photos from high to low according to the definition;
s3: extracting the medical record photos with the highest photo definition as electronic medical record extraction photos, and setting the electronic medical record photos with the second highest definition as standby photos;
s4: the electronic medical record extracted picture is extracted by an OCR character recognition technology, and character information in the electronic medical record extracted picture is stored as electronic medical record information.
3. The method for trusted cloud signature of electronic medical record according to claim 1, wherein: in the second step, the user acquires the secondary verification information when using the signature terminal to perform the signature operation, and the specific acquisition process of the second verification information is as follows:
SS 1: recording the time point information of starting signature marks it as T1;
SS 2: calculating the time point information of the next ending signature and marking the time point information T2;
SS 3: the time difference T is obtained by calculating the difference between the time point T2 of ending the signature and the time point T1 of starting the signatureDifference (D)I.e. secondary authentication information.
4. The method for trusted cloud signature of electronic medical record according to claim 1, wherein: the specific process of pre-storing the signature information in the third step is as follows: and extracting image information of the user signature in the electronic medical record, and extracting a photo cut into a preset size, wherein the preset size photo is pre-stored signature information.
5. The method for trusted cloud signature of electronic medical record according to claim 1, wherein: the specific processing procedure of signature information verification in the step five is as follows:
SSS 1: extracting signature information export when a user carries out signature verification operation through a signature terminal, and processing the signature information export into a photo with a preset size, namely real-time signature information;
SSS 2: pre-storing signature information, and dividing nine parts of the signature information into a K1 region, a K2 region, a K3 region, a K4 region, a K5 region, a K6 region, a K7 region, a K8 region and a K9 region;
SSS 3: dividing the real-time signature information nine into a W1 region, a W2 region, a W3 region, a W4 region, a W5 region, a W6 region, a W7 region, a W8 region and a W9 region;
SSS 4: m regions selected from K1 region, K2 region, K3 region, K4 region, K5 region, K6 region, K7 region, K8 region and K9 region, and m regions corresponding to W1 region, W2 region, W3 region, W4 region, W5 region, W6 region, W7 region, W8 region and W9 region, wherein m is more than or equal to 8 and more than or equal to 3;
SSS 5: comparing the similarity of the m areas, and when the similarity of the areas exceeding 0.7m is greater than a preset value, the verification is passed;
SSS 6: when the similarity is larger than the preset value, the verification area can be replaced when the area is between 0.69m and 0.5m for verification again, and when the similarity of the verification again is larger than the preset value and exceeds 0.7m, the verification is passed.
6. The method for trusted cloud signature of electronic medical record according to claim 1, wherein: the specific process of the secondary verification in the step six is as follows: and the user carries out signature operation again through the signature terminal, the signature content during signature again is converted into a signature photo, the signature photo is compared with the signature information of the pre-stored signature in signature similarity, the signature photo passes verification when the signature similarity is larger than a preset value, and the camera of the signature equipment is called to acquire the face image information of the verifier when the signature photo passes verification again.
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