CN111079195A - Diagnosis appointment evidence storage method, device and medium based on block chain - Google Patents
Diagnosis appointment evidence storage method, device and medium based on block chain Download PDFInfo
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Abstract
The application discloses a diagnosis appointment evidence storage method, device and medium based on a block chain. The method receives a request for an appointment from a patient; processing the reservation request according to a preset intelligent contract and pre-stored reservation registration information; and if the reservation is successful, writing the reservation request into the block chain as reservation registration information. Thus, the appointment registration information can be disclosed to all patients, the monitoring of the patients to the doctor for seeing a doctor is formed, and the order of the appointment seeing a doctor is maintained.
Description
Technical Field
The application relates to the technical field of information evidence storage, in particular to a diagnosis appointment evidence storage method, device and medium based on a block chain.
Background
With the development of science and technology and the popularization of the internet, people's lives become more and more scientific, and many operations in daily life can be completed through the internet, for example, a hospital is ordered to see a doctor.
At present, a patient can inquire the time, a doctor, a department and the like of a scheduled visit on a terminal such as a mobile phone, a computer and the like through a website, a public number, a small program and the like of a hospital. The method for reserving the treatment on the internet brings great convenience to the patient and is beneficial to saving the time cost and the energy of the patient.
However, in the actual treatment process, there may be a case where other patients are scheduled to see a doctor without making an appointment. This makes the patient who has made an appointment can not in time accomplish the treatment in the time quantum of appointment, needs to waste a large amount of time to wait for the treatment on the contrary, brings very big puzzlement for the reservation patient.
Disclosure of Invention
The embodiment of the application provides a diagnosis appointment evidence storage method, equipment and medium based on a block chain, which are used for solving the following technical problems in the prior art: because some patients are in queue for treatment without appointment, the patients cannot be treated according to the appointment sequence, a large amount of time is wasted for waiting, and great trouble is brought to the patients.
The embodiment of the application adopts the following technical scheme:
a diagnosis appointment evidence storage method based on a blockchain comprises the following steps:
receiving an appointment request from a patient;
processing the reservation request according to a preset intelligent contract and pre-stored reservation registration information;
and if the reservation is successful, writing the reservation request into the block chain as reservation registration information.
Optionally, the reservation request includes a reservation time period and a reservation department; processing the reservation request according to a preset intelligent contract and pre-stored reservation registration information, which specifically comprises the following steps: determining the remaining bookable times of the booked departments in the booked time period according to pre-stored booked registration information;
optionally, the method further comprises: and if the remaining bookable times are zero, recommending other booking time periods of the booking department to the patient.
Optionally, the method further comprises: determining all reservation registration information of the reservation department in the reservation time period; and determining the predicted time of visit of the patient according to all the appointment registration information, and sending the predicted time of visit to the patient.
Optionally, determining the predicted visit time of the patient according to all the appointment registration information specifically includes: and according to the number of the patients corresponding to all the appointment registration information, averagely distributing the appointment time periods to determine the expected visit time of the patients.
Optionally, the appointment request includes a description of the condition; determining the predicted time of visit of the patient according to all the appointment registration information, which specifically comprises the following steps: and allocating the appointment time period according to the disease description of each patient in all appointment registration information to determine the expected visit time of the patient.
Optionally, the method further comprises: acquiring the information of the treatment progress of the patient, and writing the information of the treatment progress into a block chain.
Optionally, the visit schedule information includes an actual visit time; the method further comprises the following steps: and when the difference between the predicted treatment time and the actual treatment time is larger than a preset threshold value, acquiring the feedback information of the patient.
A blockchain-based visit reservation evidence storage device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
receiving an appointment request from a patient;
processing the reservation request according to a preset intelligent contract and pre-stored reservation registration information;
and if the reservation is successful, writing the reservation request into the block chain as reservation registration information.
A non-transitory computer storage medium for blockchain based appointment storage, storing computer-executable instructions configured to:
receiving an appointment request from a patient;
processing the reservation request according to a preset intelligent contract and pre-stored reservation registration information;
and if the reservation is successful, writing the reservation request into the block chain as reservation registration information.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects: by writing the reservation requests of the patients into the block chain in sequence and disclosing all reservation registration information to the patients, the patients can clearly know the order of reservation and diagnosis, so that the supervision of doctors can be formed to a certain extent, the doctors can see the diagnosis according to the reservation order, and other patients cannot be allowed to queue up at will.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flowchart of a diagnosis appointment evidence storage method based on a blockchain according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an apparatus for reserving evidence for a doctor based on a blockchain according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given in the application without making any creative effort, shall fall within the protection scope of the application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism and an encryption algorithm, and is essentially a decentralized database.
A blockchain network may first be deployed based on the blockchain framework. The blockchain network comprises a plurality of nodes, including nodes of patients, doctors, hospitals and the like. The blockchain frame may be any blockchain frame capable of implementing the corresponding function of the embodiment of the present application, for example, bitcoin, etherhouse, Fabric, Corda, and the like.
And then, generating a corresponding intelligent contract according to the related requirements of reservation request storage, and writing the intelligent contract into each node in the block chain network.
Fig. 1 is a flowchart of a diagnosis appointment evidence storage method based on a blockchain according to an embodiment of the present application, which includes the specific steps of:
s101: a request for an appointment from a patient is received.
In the embodiment of the application, the patient can make an on-line appointment to see a doctor through a website of a hospital, a public number released by the hospital, a small program and the like. Specifically, the hospital may be divided into appointment time periods and corresponding departments in advance. The pre-divided appointment time period of the hospital may be one day, or morning, afternoon, and the like, which is not limited in the present application.
After the patient sends the reservation request, the hospital can determine the reservation time period and the corresponding reservation department that the patient wants to reserve according to the received reservation request.
S102: and processing the reservation request according to the preset intelligent contract and the pre-stored reservation registration information.
S103: and if the reservation is successful, writing the reservation request into the block chain as reservation registration information.
After receiving the appointment request sent by the patient, the hospital can trigger a preset intelligent contract to process the appointment request of the patient.
Specifically, the intelligent contract includes a method for processing a reservation request, and the method specifically includes:
first, since doctors in each department are limited and the number of patients that can be seen in a scheduled time period is also limited, a hospital can determine the number of times that the department can be scheduled in the scheduled time period in advance according to the number of doctors in each department.
Reservation registration information is stored in advance in the blockchain network, and the reservation registration information represents information of patients who have successfully reserved and correspond to each department in each reservation time period.
Thus, the intelligent contract can determine the remaining bookable times of the booked departments that the patient wants to book in the booking time period according to the preset times that each department can be booked in the booking time period and the pre-stored booking registration information.
Secondly, the intelligent contract can process the reservation request of the patient according to the determined remaining reserving times of the reserving department.
Specifically, if the remaining number of bookable departments to which the patient wants to book is greater than zero, which indicates that the bookable departments can be booked, the intelligent contract may write a booking request of the patient into the block chain, and update the pre-stored booking registration information according to the booking request of the patient.
If the remaining number of bookable departments to be booked by the patient is zero, the number of bookable departments is full, and no more booking can be performed. In this case, the intelligent contract may perform a corresponding query according to the appointment time period in the appointment request of the patient and the appointment department to determine other appointment time periods in which the remaining bookable times of the appointment department are greater than zero, and recommend the determined other appointment time periods to the patient for reference by the patient.
In the embodiment of the application, the reservation request of the patient is written into the block chain, the reservation registration information is determined and is disclosed to all users in the block chain network, so that the patient can clearly determine the sequence of the reservation request of the patient in all reservation registration information. In addition, the data in the block chain can not be tampered, so that the authenticity of the reservation registration information is kept, and the phenomenon of queue insertion is avoided.
Thus, the patient can roughly know the self diagnosis time according to the reservation registration information, and the reservation registration information is disclosed, so that the doctor can be supervised to a certain extent, the doctor can see the diagnosis according to the sequence of the reservation registration information, other patients which are not reserved can not be freely inserted, the reservation order is disturbed, and the trouble is caused to the reserved patients.
Further, in order to provide convenience for the patient to be ordered, the hospital may determine all the appointment registration information of the appointment department within the appointment time period, that is, all the patient information whose appointment is successful, after the appointment of the corresponding preset time period is finished. Thereafter, the hospital can determine the predicted time of visit for each patient based on all appointment registration information and transmit the predicted time of visit to the patient.
By estimating the expected visit time for each patient, the patient can be provided with a reference to approximately know his or her visit time so that the hospital can be switched at the appropriate time. Therefore, the waiting time of the patient can be reduced, convenience is provided for the patient, and the patient experience is improved.
In one possible implementation, the hospital may determine the number of all the scheduled patients within the scheduled time period based on the information of all the patients in the scheduled registration information. The hospital may then evenly distribute the appointment time periods based on the number of patients appointment within the appointment time period to determine the expected visit time for each patient.
In another possible implementation, since the difference of the spent visit time may be large due to the different disease conditions of each patient, the hospital may estimate the required spent visit time of each patient according to the different disease conditions of each patient, thereby determining the expected visit time of each patient.
Specifically, the reservation request sent by the patient may include a general disease description, and when the hospital writes the reservation request of the patient into the blockchain, the hospital may also write the disease description of the patient into the blockchain together. Thus, in determining the expected visit time for each patient, the hospital can estimate the visit time spent by each patient based on the patient's condition description in the appointment registration information, and assign appointment time periods to determine the expected visit time for each patient.
The method for determining the predicted time of seeing a doctor of the patient can reasonably distribute the reserved time period according to the illness state of each patient, so that the determined predicted time of seeing a doctor is relatively more accurate, and convenience is brought to the patient.
Furthermore, in the process of patient treatment, the treatment progress information of the patient can be acquired, and the acquired treatment progress information is written into the block chain. The information of the patient's treatment progress indicates the progress of the patient's treatment process, and may include information such as doctor examination, doctor diagnosis, doctor prescription, and the like.
By writing the information of the patient's visit progress into the blockchain, the information can be disclosed to all patients in real time, so that other patients can clearly determine the current progress of the doctor's visit. In addition, by the method, the visiting process of the doctor can be monitored to a certain extent, and the doctor is ensured to visit according to the appointment sequence without inserting other patients who are not appointed. Therefore, the order of the appointment treatment can be maintained, all the appointment patients can be ensured to treat according to the appointment order, and the appointment treatment can be smoothly carried out.
Further, the visit schedule information may also include the actual time of the patient's visit. The hospital may compare the estimated time of the patient's visit to the actual time of the patient's visit. If the difference between the expected time of the patient's visit and the actual time of the patient's visit is greater than the preset threshold, in addition to the reasons such as delay of the normal time of the visit, there may be a case where the doctor violates the doctor and allows the patient who has not been scheduled to attend the hospital in an emergency. Thus, in this case, the hospital may ask the appointment patient and obtain feedback information of the appointment patient to determine whether there is an unscheduled patient break-in. By the method, the supervision force for the doctor to see and examine can be further enhanced, the doctor can see and examine according to a normal appointment sequence, and violation phenomena are avoided.
Based on the same idea, some embodiments of the present application further provide a device and a non-volatile computer storage medium corresponding to the above method.
Fig. 2 is a schematic structural diagram of an apparatus for reserving evidence for a diagnosis based on a blockchain according to an embodiment of the present application, where the blockchain apparatus includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
receiving an appointment request from a patient;
processing the reservation request according to a preset intelligent contract and pre-stored reservation registration information;
and if the reservation is successful, writing the reservation request into the block chain as reservation registration information.
Some embodiments of the present application provide a non-volatile computer storage medium corresponding to a blockchain based visit appointment deposit of figure 1, storing computer executable instructions configured to:
receiving an appointment request from a patient;
processing the reservation request according to a preset intelligent contract and pre-stored reservation registration information;
and if the reservation is successful, writing the reservation request into the block chain as reservation registration information.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the device and media embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference may be made to some descriptions of the method embodiments for relevant points.
The device and the medium provided by the embodiment of the application correspond to the method one to one, so the device and the medium also have the similar beneficial technical effects as the corresponding method, and the beneficial technical effects of the method are explained in detail above, so the beneficial technical effects of the device and the medium are not repeated herein.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A diagnosis appointment evidence storage method based on a block chain is characterized by comprising the following steps:
receiving an appointment request from a patient;
processing the reservation request according to a preset intelligent contract and pre-stored reservation registration information;
and if the reservation is successful, writing the reservation request into the block chain as reservation registration information.
2. The method of claim 1, wherein the reservation request includes a reservation time period, a reservation department;
processing the reservation request according to a preset intelligent contract and pre-stored reservation registration information, which specifically comprises the following steps:
determining the remaining bookable times of the booked departments in the booked time period according to pre-stored booked registration information;
and processing the reservation request according to a preset intelligent contract and the residual reservation times.
3. The method of claim 2, wherein the method further comprises:
and if the remaining bookable times are zero, recommending other booking time periods of the booking department to the patient.
4. The method of claim 2, wherein the method further comprises:
determining all reservation registration information of the reservation department in the reservation time period;
and determining the predicted time of visit of the patient according to all the appointment registration information, and sending the predicted time of visit to the patient.
5. The method of claim 4, wherein determining the predicted visit time for the patient based on the all appointment registration information comprises:
and according to the number of the patients corresponding to all the appointment registration information, averagely distributing the appointment time periods to determine the expected visit time of the patients.
6. The method of claim 4, wherein the reservation request includes a description of the condition;
determining the predicted time of visit of the patient according to all the appointment registration information, which specifically comprises the following steps:
and allocating the appointment time period according to the disease description of each patient in all appointment registration information to determine the expected visit time of the patient.
7. The method of claim 4, wherein the method further comprises:
acquiring the information of the treatment progress of the patient, and writing the information of the treatment progress into a block chain.
8. The method of claim 7 wherein the visit schedule information includes actual visit times;
the method further comprises the following steps:
and when the difference between the predicted treatment time and the actual treatment time is larger than a preset threshold value, acquiring the feedback information of the patient.
9. A block chain-based diagnosis appointment evidence storage device is characterized by comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
receiving an appointment request from a patient;
processing the reservation request according to a preset intelligent contract and pre-stored reservation registration information;
and if the reservation is successful, writing the reservation request into the block chain as reservation registration information.
10. A non-transitory computer storage medium storing computer-executable instructions for a blockchain-based appointment for medical attendance, the computer-executable instructions configured to:
receiving an appointment request from a patient;
processing the reservation request according to a preset intelligent contract and pre-stored reservation registration information;
and if the reservation is successful, writing the reservation request into the block chain as reservation registration information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911174954.3A CN111079195A (en) | 2019-11-26 | 2019-11-26 | Diagnosis appointment evidence storage method, device and medium based on block chain |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911174954.3A CN111079195A (en) | 2019-11-26 | 2019-11-26 | Diagnosis appointment evidence storage method, device and medium based on block chain |
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| CN111079195A true CN111079195A (en) | 2020-04-28 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911174954.3A Pending CN111079195A (en) | 2019-11-26 | 2019-11-26 | Diagnosis appointment evidence storage method, device and medium based on block chain |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112562836A (en) * | 2020-12-18 | 2021-03-26 | 深圳赛安特技术服务有限公司 | Doctor recommendation method and device, electronic equipment and storage medium |
| CN113783873A (en) * | 2021-09-10 | 2021-12-10 | 贵州华泰智远大数据服务有限公司 | Data governance platform based on data middling platform technology |
-
2019
- 2019-11-26 CN CN201911174954.3A patent/CN111079195A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112562836A (en) * | 2020-12-18 | 2021-03-26 | 深圳赛安特技术服务有限公司 | Doctor recommendation method and device, electronic equipment and storage medium |
| CN113783873A (en) * | 2021-09-10 | 2021-12-10 | 贵州华泰智远大数据服务有限公司 | Data governance platform based on data middling platform technology |
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