CN111933260A - Outpatient service digital system based on cloud - Google Patents
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Abstract
The invention relates to a cloud-based outpatient digitizing system, comprising: an outpatient terminal and a cloud platform; the clinic terminal establishes a temporary attendance task and a temporary task identifier thereof; the temporary task is created only by creating a temporary task record for the task, the temporary treatment task is not put into a task queue to be circulated, and the temporary treatment task is circulated only at the outpatient service terminal; when the temporary treatment tasks are determined to be processed in the mechanism, deleting the temporary treatment tasks stored in the cache space, and generating treatment tasks to be placed in a treatment task queue for medium processing and circulation; the visit tasks are circulated in the functional modules in the digital system. According to the invention, by means of multi-dimensional characteristic comparison outside the mechanism and the quantification of the time of visiting a doctor, the user experience is greatly improved, and the treatment efficiency and accuracy of the children asthma nursing clinic can be improved under the condition of not increasing the burden and capacity requirements of the clinic.
Description
[ technical field ] A method for producing a semiconductor device
The invention belongs to the technical field of computers, and particularly relates to a cloud-based outpatient service digital system.
[ background of the invention ]
At present, information technologies such as internet, big data, artificial intelligence and the like are gradually applied to various links of medical care, on-line registration, doctor reservation, data information transmission and storage, off-line data management and the like. With the rapid development of mobile communication technology, the mobile internet industry is growing explosively; with the development of massive terminal device interconnection and internet of things technology, outpatient tasks and data generated by the outpatient tasks are increased in a geometric progression, and the existing data processing technology is difficult to manage and control the large-scale data. The combination of medical software and mobile terminal equipment provides convenience for patients to see a doctor, provides a mobile efficient customized solution for institutions such as hospitals and the like, and has created a new intelligent mobile medical working mode; therefore, a new concept of big data is proposed, and the big data is characterized by large volume, high speed, diversity and value. Big data is collected by thousands of terminal devices and then processed on a cloud computing platform.
In the future, under the promotion of new technologies such as internet of things and cloud computing, the integration of traditional industries such as finance, entertainment, traffic and medical treatment and the internet is showing new characteristics; specific examples thereof include: medical data and session tasks for various types of medical institutions, hospitals, community hospitals, health homes, clinics, telemedicine, etc., physical examination institution data management, data processing task management, etc. First, for outpatients, individual timepoint or phasic data is not continuous; data scatter at different institutions lacks systematicness; intermittent data mainly takes the time point of illness as main time, and has poor timeliness, and even if the use value of the data is low in an individual data set; the data formats of different mechanisms are incompatible with each other, the clinical application value is low, and the data cannot be popularized and applied to the core link of medical service; secondly, the outpatient service is taken as an individual, and the data of a certain aspect of the individual is unique; the data is concentrated in equipment operators or is limited by individual storage application value, the data format is incompatible with health medical service institutions, the clinical application value is low, and the data cannot be applied to a medical service core link. Thirdly, the doctor who receives the doctor usually can carry out quick judgement to the disease condition, but when the disease condition surpassed the current doctor who receives the doctor's that the outpatient service is the knowledge scope, the outpatient service volume increased a large amount at any time, can cause the outpatient service abnormal confusion. Therefore, the outpatient service is the foremost end for patient reception, the outpatient service task is complex, the task is urgent, the data is complex, how to carry out the digital management of the outpatient service based on the cloud platform, and the outpatient service efficiency is improved, so that the problem to be solved is solved. According to the invention, by means of multi-dimensional characteristic comparison outside the mechanism and the quantification of the time of visiting a doctor, the user experience is greatly improved, and the treatment efficiency and accuracy of the children asthma nursing clinic can be improved under the condition of not increasing the burden and capacity requirements of the clinic.
[ summary of the invention ]
In order to solve the above problems in the prior art, the present invention provides a cloud-based outpatient service digital system, which comprises: one or more outpatient terminals and a cloud platform; the cloud platform comprises a plurality of cloud nodes, and part of the cloud nodes are access nodes for accessing the outpatient service terminal and calculating data;
the clinic terminal needs to perform preliminary judgment of the state of an illness in the clinic, generates a clinic task based on a preliminary judgment result, the clinic task flows in the structure, and the task flow is the flow among all departments of the organization until the patient is discharged;
the clinic terminal establishes a temporary attendance task and a temporary task identifier thereof; the temporary task is created only by creating a temporary task record for the task, the temporary treatment task is not put into a task queue to be circulated, and the temporary treatment task is circulated only at the outpatient service terminal; when the temporary treatment tasks are determined to be processed in the mechanism, deleting the temporary treatment tasks stored in the cache space, and generating treatment tasks to be placed in a treatment task queue for medium processing and circulation; the visit tasks are circulated in the functional modules in the digital system.
Further, the operating system of the outpatient service terminal processes the treatment task and allocates task resource blocks to the treatment task.
Further, the operating system is an outpatient service dedicated operating system, and the operating system performs scheduling and processing of the visit tasks.
Further, when the temporary visit task cannot be processed in the local mechanism, the task is processed outside the local mechanism and is reassigned.
Further, the outpatient terminal is identified according to the doctor ID of the outpatient terminal and the terminal used by the outpatient terminal.
Furthermore, the same terminal equipment can correspond to a plurality of outpatient service terminals; the outpatient terminal accesses the access node through the terminal equipment and the doctor ID.
Further, the number of the access nodes is one or more.
Furthermore, one or more outpatient terminals are arranged in the mechanism;
further, the outpatient terminal has two states: an active state and an inactive state.
Further, when the outpatient service terminal is in a power-on state and acquires the ID of the doctor, the outpatient service terminal is in an active state.
The beneficial effects of the invention include: (1) in the prior art, when the mechanism cannot be processed, a patient is directly rejected, so that poor user experience is caused; by means of multi-dimensional feature comparison and diagnosis time quantification outside the mechanism, user experience is greatly improved; (2) a complex feature extraction mode and a mode of combining multi-feature combination and single-feature combination matching are provided, and matching errors caused by a matching mode which is possibly missed from the aspect of feature matching are overcome; (3) the existing maintenance of the organization structure and the realization of the function are facilitated through an organization mode of loose access of the mechanism and the access node; (4) the comparison of the disease condition information is converted into the adjustment comparison of the characteristic combination, and the processing efficiency in the mechanism is improved by matching with the differential selection mode of the two-stage combination sequence and the matching thereof; (5) the system combines the searching and recommending in and out of the mechanism with the outpatient treatment problem, and provides a quantitative searching and comparing mode, thereby reducing human factors, improving the automation degree and improving the digitization degree of the system. (6) Through the differentiated establishment of the treatment tasks, the temporary treatment tasks generate light-weight tasks, the resource consumption is reduced, useless waste of space is avoided, and the difficulty change of the existing system is not needed.
[ description of the drawings ]
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, and are not to be considered limiting of the invention, in which:
FIG. 1 is a schematic diagram of a cloud-based outpatient digitizing system of the present invention.
[ detailed description ] embodiments
The present invention will now be described in detail with reference to the drawings and specific embodiments, wherein the exemplary embodiments and descriptions are provided only for the purpose of illustrating the present invention and are not to be construed as limiting the present invention.
A cloud-based outpatient digitizing system for use with the present invention is described in detail, as shown in fig. 1, the system comprising: an outpatient terminal and a cloud platform; the cloud platform comprises a plurality of cloud nodes, and part of the cloud nodes are access nodes for accessing the outpatient service terminal and calculating data; the number of the outpatient service terminals is one or more, and the number of the access nodes is one or more; one or more outpatient terminals are arranged in the mechanism, and the outpatient terminals in one mechanism are accessed to the platform through one or more access nodes; a plurality of mechanisms can be accessed to the cloud platform through one access node; the cloud platform is used for providing cloud service for the outpatient service terminal;
preferably: the outpatient service terminal is identified according to hardware equipment adopted by an outpatient service, and each terminal equipment is an outpatient service terminal;
alternatively: the outpatient service terminal is identified according to the outpatient service terminal and a doctor I D using the outpatient service terminal, and the same terminal equipment can correspond to a plurality of outpatient service terminals; the outpatient terminal accesses the access node through the terminal equipment and the doctor I D;
the clinic terminal needs to perform preliminary judgment of the illness state in the clinic, generates a clinic task based on a preliminary judgment result, the clinic task flows in the structure, the task flow is the flow among all departments of the organization until the patient is discharged, and finally the clinic task flows to a record department, and the cloud platform data calculation and the data concentration are performed through the record department;
the clinic terminal is used for receiving the patients to be treated, inputting the illness state, creating a temporary treatment task, judging whether the treatment task can be processed by the clinic terminal, if so, processing the clinic terminal by the clinic terminal, creating the treatment task according to the temporary treatment task, and otherwise, performing external processing of the clinic terminal; only a small amount of information is stored in the temporary visit task, so that control and judgment before reassignment are facilitated, and storage and calculation expenses are saved;
preferably: the outpatient service terminal doctor determines whether the mechanism can be completed or not after preliminary judgment of the illness state information, wherein the preliminary judgment is completed by the doctor in the clinic according to own experience; under the condition of insufficient experience of the doctor, the doctor depends on subsequent automatic judgment; because the automatic judgment link is arranged in the follow-up process, the doctor receiving the clinic can only carry out preliminary judgment on the authentic condition, but can directly reserve the unfinished condition for the follow-up automatic judgment, the requirements of the outpatient doctor are reduced, and the outpatient treatment efficiency is improved;
the creating of the temporary visit task specifically comprises the following steps: the method comprises the steps that an outpatient service terminal creates a temporary attendance task and a temporary task identifier thereof, stores the temporary attendance task in a cache space and hangs the temporary attendance task to be processed; the temporary task is created only by creating a temporary task record for the task, the temporary treatment task is not put into a task queue to be circulated, and the temporary treatment task is circulated only at the outpatient service terminal; recording temporary task identification, illness state information and the like of the patient in the temporary task record; the temporary task exists only in a special function module of client software of the digital outpatient service system, does not enter an operating system, and does not exist in the whole digital outpatient service system; the special module is used for creating, judging and reassigning the temporary task;
whether the diagnosis task can be processed by the mechanism is judged, and the method specifically comprises the following steps: the clinic terminal judges whether the clinic task can be completed by the mechanism according to the temporary task record; extracting disease condition information from the temporary task record, extracting disease condition characteristics from the disease condition information to form a current characteristic combination, sending the current disease condition characteristics to an access node, comparing the current characteristic combination with a disease condition characteristic library stored by the access node to determine an outpatient service terminal set to be selected, and determining whether the outpatient service terminal can be processed by the mechanism according to the outpatient service terminal condition in the outpatient service terminal set to be selected; if any outpatient terminal can carry out the mechanism processing, otherwise, the mechanism processing cannot be carried out;
the method for determining the outpatient service terminal set to be selected by comparing the current disease condition characteristics with a current disease condition characteristic library stored by an access node specifically comprises the following steps: comparing the current feature combination with the feature combinations in the feature combination set to determine the matching degree of each feature combination in the feature combination set, sorting the feature combinations according to the matching degree, putting the feature combinations with the matching degree within a first threshold value range into a first combination sequence, and putting the feature combinations with the matching degree within a second threshold value range into a second combination sequence; the feature combinations in the combination sequence are sorted from large to small according to the matching degree; when the first combination sequence is not empty, placing the outpatient service terminal corresponding to the outpatient service feature index set containing the index value of the feature combination in the first combination sequence into the outpatient service terminal set to be selected; otherwise, if the second combination sequence is not empty, placing the outpatient service terminal corresponding to the outpatient service feature index set containing the index value of the feature combination in the second combination sequence into the outpatient service terminal set to be selected; wherein: the matching degree of the first threshold range is higher than the second threshold range;
preferably: the first threshold range is [1,1 ]; the second threshold range is (0.8,1 ];
preferably: when both the first combined sequence and the second combined sequence are not empty; determining that task reassignment is needed to be carried out by external processing of the mechanism;
preferably: before comparison, determining the synchronous time of the disease condition feature library, if the synchronous time is effective, directly comparing, otherwise, performing incremental synchronization of the disease condition feature library while comparing; incremental synchronization only requires synchronization of the added feature combinations; determining an access node set accessed by the mechanism outpatient service terminal according to the mechanism code, actively initiating incremental synchronization by the compared access node, namely, synchronizing only aiming at the compared access node, and sending incremental characteristic combination data of the mechanism on other nodes to the currently compared access node; the normal synchronization is usually initiated by a cloud node which is mastered with the control right, and the incremental synchronization is initiated for information synchronization in the organization, so that the access rule of the outpatient terminal is not changed fundamentally due to the intelligent function of the digital system, and the integrity of the existing system is maintained; wherein: the access node for comparison is the access node of the current outpatient terminal;
preferably: after the access node is accessed through the inquiry mechanism, an incremental synchronization request is sent to the access node for synchronization, and synchronization data is received, wherein the synchronization data is new data generated from the last synchronization time to the current time; storing the synchronization data and the access node identification association in a buffer area, and if the comparison aiming at the local access node is not completed, performing data deduplication in the buffer area firstly; after the comparison of the local data is finished, data comparison in a buffer area is sequentially carried out, the compared data abstract values are recorded in a finishing queue, the abstract values are compared before the next comparison, and only the data with different abstract values are compared; by the method, the synchronization efficiency is greatly improved, and actually, under the condition of a normal synchronization period, the newly generated data volume and the repetition degree thereof are not very high, so that excessive comparison delay is not caused, and the same disease condition, such as repeated data caused by the generation of a large amount of sudden epidemic diseases, is reduced by screening the abstract values;
preferably: searching in the outpatient service feature index set according to the index value of the current feature combination in the feature combination set, and identifying that the current outpatient service feature index set contains the current feature combination when the current feature combination is hit;
preferably: the comparison range limits the corresponding disease condition characteristic library according to the mechanism code;
the method comprises the steps that an access node stores an illness state characteristic library, the illness state characteristic library is organized according to mechanisms, and when a plurality of mechanisms are accessed through the same access node, the access node stores the mechanisms and the corresponding illness state characteristic libraries; for an illness condition feature library corresponding to an organization, storing a feature combination set, an outpatient service terminal and a corresponding outpatient service feature index set in the illness condition feature library; after the outpatient service terminal performs initial judgment under the definite condition, extracting a newly-added feature combination based on current disease condition information, submitting the newly-added feature combination to a disease condition feature library, if the newly-added feature combination is contained in a feature combination set, not changing the feature combination set, obtaining an index value, determining whether the newly-added feature combination is contained in a corresponding outpatient service feature index set or not based on the index value, if so, discarding the newly-added feature combination, otherwise, adding the index value into the outpatient service feature index set; if the newly added feature combination is not contained in the feature combination set, adding the newly added feature combination into the feature combination set to generate an index value, and adding the index value into the outpatient service feature index set; only the index value of the newly added feature combination is stored in the outpatient service feature index set, so that the storage space is greatly reduced, and the searching efficiency is improved;
comparing the current feature combination with the feature sets in the feature combination set to determine the matching degree of each feature combination in the feature combination set, specifically: calculating the matching degree MCHk of the kth feature combination in the feature combination set by adopting the following formula,
the current feature combination CCT is (CCTi), 1 is (i) and N is the feature number in the current feature combination; CCTi is the ith characteristic in the characteristic combination CCT; the kth feature combination CHk ═ (CKkj), 1 ═ j < ═ M, M is the feature number in the feature combination CHk; k is the serial number of the feature combination in the feature combination set; SMC is the same characteristic number in CCT and CHk;
MCHk ═ 1- (N-SMC/N) × (M-SMC/M) formula (1);
the method realizes rapid comparison and quantitative matching of the characteristic combination, thereby being capable of carrying out scientific automatic task reassignment;
the mechanism is used for processing, and specifically comprises the following steps: when the set of the outpatient service terminals to be selected is not empty, the temporary attendance task is sent to each outpatient service terminal in the candidate outpatient service set, one outpatient service terminal is selected to carry out the mechanism processing based on the response information of the outpatient service terminal, and the temporary attendance task is sent to the outpatient service terminal to be selected in the candidate outpatient service set; deleting the temporary treatment tasks stored in the cache space, generating treatment tasks, placing the treatment tasks in a treatment task queue, and carrying out medium treatment and circulation; the treatment tasks are circulated in the functional modules in the digital system; alternatively: the operating system of the clinic terminal processes the clinic tasks and allocates task resource blocks to the clinic tasks; the operating system is a special operating system for outpatient service, and the operating system carries out scheduling and processing on the attendance task;
optionally: if there is no response information from the outpatient terminal, determining that it cannot be processed by the mechanism;
preferably: when the set of the outpatient service terminals to be selected is empty; determining that task reassignment is needed to be carried out by external processing of the mechanism;
preferably: when the candidate clinic set is from the first combination sequence and is not empty, directly selecting one clinic terminal in an active state from the candidate clinic set, and sending the temporary clinic task to the selected clinic terminal for local mechanism processing; at the moment, if all the outpatient service terminals are in an inactive state, whether the mechanism is processed or not is determined based on manual feedback; the manual feedback determines whether to allow the mechanism to wait according to the state of illness information; when the candidate clinic set is from the condition that the second combination sequence is not empty, the temporary clinic task is sent to each clinic terminal in the candidate clinic set, the response information of the clinic terminals is waited, and one clinic terminal is selected from the clinic terminals giving the response to carry out the mechanism processing; preferably: according to the busy degree of the outpatient terminal, selecting the most idle outpatient terminal as the selected outpatient terminal to perform the mechanism processing; the doctor who receives the doctor at the outpatient service terminal carries out preliminary judgment according to the illness state information to determine whether to give a response or not;
preferably: the most idle outpatient service terminal is the outpatient service terminal with the shortest treatment queue; each clinic terminal is provided with a corresponding clinic queue, and the clinic queues are used for storing temporary clinic tasks; the shortest treatment queue is the shortest temporary treatment task number in the queue or the shortest estimated treatment time;
preferably: the selected clinic terminals take out the temporary clinic tasks from the clinic queue in sequence, make diagnosis treatment and create the clinic tasks, and the clinic tasks are circulated in the institution;
the external treatment of the mechanism is specifically as follows: performing multi-mode feature extraction based on the condition information to obtain a plurality of feature combinations, determining an access node to be selected based on the plurality of feature combinations, searching the access node to be selected to determine an outpatient service terminal set, and selecting an outpatient service terminal from the outpatient service terminal set to perform temporary visit task reassignment; in the prior art, when the mechanism cannot be processed, a patient is directly rejected, so that poor user experience is caused; by means of multi-dimensional feature comparison and diagnosis time quantification outside the mechanism, user experience is greatly improved;
the multi-mode feature extraction based on the disease condition information is used for obtaining a plurality of feature combinations, and specifically comprises the following steps: the access node of the mechanism adopts a plurality of characteristic extraction modes to extract the characteristics of the illness state information so as to obtain a plurality of characteristic combinations corresponding to the plurality of characteristic extraction modes; the multiple feature extraction modes are multiple different feature extraction modes adopted by multiple access nodes in the cloud platform and the outpatient service terminals accessed by the access nodes; different mechanisms often adopt different feature extraction modes due to different digitalization systems, different understanding of doctors on disease conditions and different semantic expressions, and the prior art often only adopts one feature extraction mode without considering the difference among the mechanisms, so that a matching mode which is omitted from the aspect of feature matching is caused, and matching errors are caused;
preferably: after a digital system is installed on an outpatient terminal or a system plug-in is installed, a corresponding feature extraction mode is obtained, and the feature extraction mode is broadcasted to all access nodes of a cloud platform through the access nodes, so that the access nodes can conveniently extract multi-mode features;
preferably: after the digital system is registered in the software center, storing a special diagnosis extraction mode adopted by the digital system in the software registration center; the information of the software registration center is stored on a cloud node of the cloud platform, and when the access node performs multi-mode feature extraction, all feature extraction modes are obtained from the cloud node to perform the multi-mode feature extraction;
determining an access node to be selected based on a plurality of feature combinations, specifically: the access node of the current outpatient service terminal compares each feature combination in the plurality of feature combinations with a feature combination set in an access node illness state feature library in the cloud platform to determine the hit number of the plurality of feature combinations and the feature combination set; selecting the previous MN access nodes with the largest hit number as access nodes to be selected; wherein: MN is a preset value;
the number of hits is: if a feature combination exists in the feature combination set, the features of the feature combination set are completely consistent with one feature combination in a plurality of feature combinations, the feature numbers of the feature combinations are the same, and the extraction modes of the hit feature combinations are also consistent, the hit times are increased by 1; the initial value of the hit times is 0;
preferably: when the number of the access nodes to be selected is less than the threshold value, the hit condition is relaxed, the hit number is that if a feature combination exists in the feature combination set, the feature of the feature combination is completely consistent with one feature combination in a plurality of feature combinations, and the feature number is also the same, the hit number is increased by 1; because the feature combinations obtained by adopting the same feature extraction mode for different disease condition information expressions are not necessarily the same, the disease condition information expressions can be matched as a remedial measure to overcome the difference of the disease condition information expressions through a loose feature combination hit mode;
the cloud nodes of the non-access nodes are used for storing and calculating information; detecting information update condition of the access node for synchronization, for example: synchronizing and centralizing an illness condition feature library stored in an access node; therefore, when the access node determines the access node to be selected, the synchronized disease condition feature library can be calculated to be determined; the above operations are typically performed by a cloud node having control capabilities;
the searching of the access node to be selected to determine the outpatient service terminal set specifically comprises: determining the priority value of the outpatient service terminals accessed to the access nodes to be selected by each access node to be selected in the access nodes to be selected, and selecting a first number of outpatient service terminals with the top rank to be placed in an outpatient service terminal set; wherein: the first quantity is a preset value;
the determining of the priority value of the outpatient service terminal accessing the access node to be selected specifically includes: calculating a priority value PR based on the following formula;
PR＝(MAB/((QL/AVQL)*2DIS) + ADD); formula (2)
Wherein: MAB is the number of the feature combinations which exist in the outpatient service feature index set of the outpatient service terminal and are completely matched with the feature combinations in the multi-feature combinations; the DIS IS the physical distance between the outpatient terminal and the outpatient terminal sending the task reassignment; QL is the length of the visit queue of the clinic terminal, and AVQL is the average value of the lengths of the visit queue of all the clinic terminals in the clinic terminal set; ADD is an additional value, for example: the relocation difficulty of the outpatient service terminal, the evaluation grade of the outpatient service terminal and the like are carried out, and the additional value can be a positive value or a negative value; by the mode, important factors such as the suitability degree and the distance of the reassignment task can be quantified; the reassignment difficulty can be obtained by calculation according to historical reassignment data, so that convenience is brought to outpatient doctors and patients to select;
the method is characterized in that the clinic terminals are selected from the clinic terminal set to perform temporary visit task reassignment, and specifically comprises the following steps: sorting the outpatient terminals in the outpatient terminal set from large to small according to the priority values, and then sending the outpatient terminals to the outpatient terminals for presentation; the detailed information of the outpatient terminal is presented additionally at the outpatient terminal information, such as: the mechanism where the outpatient service terminal is located, the activity state of the outpatient service terminal and the like, the task reassignment difficulty and the like; reassigning the provisional visit task to the selected clinic terminal based on the selection of the clinic terminal;
preferably: after the task reassignment is completed, deleting the temporary visit task;
the beneficial effects of the invention include: (1) in the prior art, when the mechanism cannot be processed, a patient is directly rejected, so that poor user experience is caused; by means of multi-dimensional feature comparison and diagnosis time quantification outside the mechanism, user experience is greatly improved; (2) a complex feature extraction mode and a mode of combining multi-feature combination and single-feature combination matching are provided, and matching errors caused by a matching mode which is possibly missed from the aspect of feature matching are overcome; (3) the existing maintenance of the organization structure and the realization of the function are facilitated through an organization mode of loose access of the mechanism and the access node; (4) the comparison of the disease condition information is converted into the adjustment comparison of the characteristic combination, and the processing efficiency in the mechanism is improved by matching with the differential selection mode of the two-stage combination sequence and the matching thereof; (5) the system combines the searching and recommending in and out of the mechanism with the outpatient treatment problem, and provides a quantitative searching and comparing mode, thereby reducing human factors, improving the automation degree and improving the digitization degree of the system. (6) Through the differentiated establishment of the treatment tasks and the generation of the light weight tasks through the temporary treatment tasks, the resource consumption is reduced, the useless waste of space is avoided, and the difficulty change of the existing system is not needed.
The foregoing shows and describes the general principles, essential features and advantages of the invention, which is, therefore, described only as an example of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are merely illustrative of the principles of the invention, but rather that the invention includes various equivalent changes and modifications without departing from the spirit and scope of the invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A cloud-based outpatient digitizing system, the system comprising: one or more outpatient terminals and a cloud platform; the cloud platform comprises a plurality of cloud nodes, and part of the cloud nodes are access nodes for accessing the outpatient service terminal and calculating data;
the clinic terminal needs to perform preliminary judgment of the state of an illness in the clinic, generates a clinic task based on a preliminary judgment result, the clinic task flows in the structure, and the task flow is the flow among all departments of the organization until the patient is discharged;
the clinic terminal establishes a temporary attendance task and a temporary task identifier thereof; the temporary task is created only by creating a temporary task record for the task, the temporary treatment task is not put into a task queue to be circulated, and the temporary treatment task is circulated only at the outpatient service terminal; when the temporary treatment tasks are determined to be processed in the mechanism, deleting the temporary treatment tasks stored in the cache space, and generating treatment tasks to be placed in a treatment task queue for medium processing and circulation; the visit tasks are circulated in the functional modules in the digital system.
2. The cloud-based outpatient digitization system of claim 1, wherein the processing of the visit tasks is performed in an operating system of an outpatient terminal and task resource blocks are allocated to the visit tasks.
3. The cloud-based outpatient digitizing system of claim 2, wherein the operating system is an outpatient dedicated operating system, the operating system performing the scheduling and processing of the visit tasks.
4. The cloud-based outpatient digitizing system of claim 3, wherein when the provisional visit task cannot be processed at the local facility, the out-of-facility processing and reassignment of the task is performed.
5. The cloud-based outpatient digitizing system of claim 4, wherein the outpatient terminal is identified by the doctor ID of the outpatient terminal and its use terminal.
6. The cloud-based outpatient digitizing system of claim 5, wherein the same terminal device can correspond to multiple outpatient terminals; the outpatient terminal accesses the access node through the terminal equipment and the doctor ID.
7. The cloud-based outpatient digitizing system of claim 6, wherein the access nodes are one or more.
8. The cloud-based outpatient digitizing system of claim 7, wherein one or more outpatient terminals are located within the institution.
9. The cloud-based outpatient digitizing system of claim 8, wherein the outpatient terminal has two states: an active state and an inactive state.
10. The cloud-based outpatient digitizing system of claim 9, wherein the outpatient terminal is active when it is powered on and acquires the ID of the using physician.
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