Patient visit time prediction method, cross-regional visit system and storage medium

Abstract

The embodiments of the present invention provide a method for predicting patient consultation time, a cross-region consultation system and a storage medium. The method for predicting patient consultation time includes obtaining an appointment instruction; determining a preset consultation time, a target diagnosis and treatment unit and an acquisition time corresponding to the preset consultation time according to the appointment instruction; determining the appointment queue information between the acquisition time and the preset consultation time; obtaining the treatment speed of the target diagnosis and treatment unit; and determining the theoretical consultation time according to the treatment speed, the appointment queue information and the acquisition time. In the technical solution of the present invention, by reasonably predicting the theoretical consultation time, patients can arrange their consultation time well and reasonably choose different diagnosis and treatment units for consultation. It can also make the distribution of patients between the diagnosis and treatment units more even, and the utilization rate of medical resources higher.

Description

Technical Field

[0001] The present invention relates to the field of medical technology, and in particular to a method for predicting patient consultation time, a cross-regional medical institution consultation system and a computer-readable storage medium. Background Art

[0002] With the progress of urbanization and the improvement of living standards, people are no longer limited to a single medical institution around their living area. In cities with multiple medical institutions, people can choose different medical institutions for medical treatment. Due to the lack of timely understanding of medical information of various medical institutions, it is difficult for patients to reasonably arrange medical institutions to visit according to the scheduled time. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art or related art.

[0004] In view of this, a first aspect of an embodiment of the present invention provides a method for predicting a patient's consultation time.

[0005] A second aspect of an embodiment of the present invention provides a cross-regional medical institution consultation system.

[0006] A third aspect of an embodiment of the present invention provides a computer-readable storage medium.

[0007] In order to achieve the above-mentioned objectives, an embodiment of the first aspect of the present invention provides a method for predicting a patient's visit time, comprising: obtaining an appointment instruction; determining a preset visit time, a target treatment unit and an acquisition time corresponding to the preset visit time according to the appointment instruction; determining the appointment queue information between the acquisition time and the preset visit time; obtaining the treatment speed of the target treatment unit; and determining the theoretical visit time according to the treatment speed, the appointment queue information and the acquisition time.

[0008] According to the method for predicting the patient's consultation time provided by the embodiment of the first aspect of the present invention, the preset consultation time, the target diagnosis and treatment unit and the acquisition time are first determined according to the appointment instruction. Among them, the target diagnosis and treatment unit is the diagnosis and treatment unit where the patient is expected to be treated, the preset consultation time is the time when the patient is expected to arrive at the diagnosis and treatment unit, the appointment instruction is the instruction set by the patient to make an appointment with the diagnosis and treatment unit, and the acquisition time is the time when the appointment instruction is set.

[0009] Further, after determining the target diagnosis and treatment unit, acquisition time and preset consultation time set by the patient who set the instruction, the appointment queue information of the diagnosis and treatment unit between the acquisition time and the preset consultation time can be obtained. The appointment queue information is the number of other patients who have made appointments for the diagnosis and treatment unit between the acquisition time and the preset consultation time.

[0010] Further, the treatment speed of the target diagnosis and treatment unit is obtained, that is, the theoretical treatment time required for the diagnosis and treatment unit to treat a patient is obtained. It can be understood that according to the number of patients included in the appointment queue information, and the theoretical treatment time required to complete the treatment of a patient, the theoretical treatment time required to complete the treatment in the appointment queue can be known. Obviously, by adding the acquisition time to the theoretical treatment time required to complete the appointment queue, the theoretical consultation time of other patients in the appointment queue can be obtained. Obviously, the patient can judge whether he can get treatment in the diagnosis and treatment unit in time according to the theoretical consultation time obtained, and further adjust his schedule to arrive at the diagnosis and treatment unit for treatment in time. If it is judged by the theoretical consultation time that it is impossible to see a doctor for a long time after the theoretical consultation time, the patient can consider arranging other times for consultation, or considering other diagnosis and treatment units for consultation. Therefore, through this method, patients can arrange consultation time very well. In addition, the patient can reasonably choose different diagnosis and treatment units for consultation according to this method. For different diagnosis and treatment units, it can also avoid the situation where some diagnosis and treatment units are overcrowded while other diagnosis and treatment units are waiting for patients due to poor information communication between the diagnosis and treatment units and patients, thereby making the distribution of patients among the diagnosis and treatment units more even and the utilization rate of medical resources higher.

[0011] In addition, the patient consultation time prediction method in the above solution provided by the present invention may also have the following additional technical features:

[0012] In the above technical scheme, the step of obtaining the treatment speed of the target diagnosis and treatment unit in the patient consultation time prediction method specifically includes: obtaining the consultation call time and the initial call time of the target diagnosis and treatment unit; determining the total treatment time based on the consultation call time and the initial call time; obtaining the number of people who have completed the consultation in the diagnosis and treatment unit within the total treatment time; and determining the treatment speed based on the total treatment time and the number of people who have completed the consultation.

[0013] In this technical solution, in order to obtain the treatment speed of the target diagnosis and treatment unit, it is necessary to first obtain the consultation calling time and the initial calling time of the target diagnosis and treatment unit. The consultation calling time is the calling time of the patient who is currently receiving treatment. When the patient is called, it indicates that the patient who was treated before the patient has completed the treatment and the patient can enter the diagnosis and treatment unit for treatment. The initial calling time is the time when the first patient who visited the diagnosis and treatment unit on that day is called. It can be understood that according to the consultation calling time and the initial calling time, the treatment time used by the patients who have completed the treatment in the diagnosis and treatment unit on that day, that is, the total treatment time, can be known, where the number of patients who have completed the treatment is the number of patients who have completed the treatment. Obviously, by dividing the total treatment time by the number of patients who have completed the treatment, the average time used by the diagnosis and treatment unit to complete the treatment of a patient, that is, the treatment speed, can be obtained.

[0014] In the above technical solution, the steps of determining the theoretical consultation time according to the treatment speed, appointment queue information and acquisition time specifically include: determining the number of patients waiting for treatment according to the appointment queue information; determining the theoretical treatment time according to the number of patients waiting for treatment and the treatment speed; determining the theoretical consultation time according to the acquisition time and the theoretical treatment time.

[0015] In this technical solution, the appointment queue information includes the number of patients waiting for treatment in the diagnosis and treatment unit. It should be noted here that the acquisition time is the time when the patient who sets the instruction determines the setting instruction. It can be understood that the number of patients waiting for treatment is the number of appointment patients who have not been treated in the diagnosis and treatment unit after the acquisition time. Obviously, by multiplying the number of appointment patients and the treatment speed of the diagnosis and treatment unit, the time required to complete the treatment of these appointment patients, that is, the theoretical treatment time, can be obtained. Therefore, by adding the acquisition time and the theoretical treatment time, the theoretical consultation time can be determined, that is, the possible consultation time for completing the treatment of the patient waiting for treatment. It can be understood that the patient who sets the instruction arrives at the diagnosis and treatment unit at the preset consultation time. If the theoretical consultation time is before the preset consultation time, the patient does not need to wait and can go directly to the treatment; if the theoretical consultation time is after the preset consultation time, the patient needs to wait for a period of time before the consultation.

[0016] In the above technical solution, before obtaining the treatment speed of the target diagnosis and treatment unit, it also includes: determining the patient location information and the diagnosis and treatment unit location information according to the appointment instructions; determining the theoretical journey time according to the patient location information and the diagnosis and treatment unit location information; and determining the estimated arrival time according to the acquisition time and the theoretical journey time.

[0017] In this technical solution, the reservation instruction also includes the current location of the patient who sets the instruction, and the location of the diagnosis and treatment unit specified by the patient who sets the instruction. The theoretical travel time that the patient may take to reach the diagnosis and treatment unit can be determined by the locations of the two. Obviously, the theoretical travel time plus the acquisition time is the estimated arrival time of the patient at the diagnosis and treatment unit.

[0018] In the above technical solution, the patient consultation time prediction method also includes: determining consultation recommendations based on preset consultation times and theoretical consultation times.

[0019] In this technical solution, after the patient who sets the instruction sets the preset consultation time, the patient's consultation time prediction method can determine the theoretical consultation time. When it is judged that the theoretical consultation time is later than the preset consultation time, especially much later than the preset consultation time, the patient is advised to consider visiting other diagnosis and treatment units to save time. If it is judged that the theoretical consultation time meets the preset consultation time or is earlier than the theoretical consultation time, the patient can be advised to seek medical treatment in time. Furthermore, if it is judged that the theoretical consultation time is much earlier than the preset consultation time, the patient can be advised to arrive at the diagnosis and treatment unit early for consultation.

[0020] In the above technical solution, the patient consultation time prediction method also includes: sending the theoretical consultation time and consultation recommendation to the target terminal.

[0021] In this technical solution, after the theoretical consultation time and consultation recommendations have been obtained, the theoretical consultation time and consultation recommendations can be sent to the target terminal so that the patient can arrange medical treatment in time according to the theoretical consultation time and consultation recommendations.

[0022] Generally speaking, the target terminal can be the patient's mobile phone, or an Internet client, so that the patient can be informed of the theoretical consultation time and consultation recommendations in a timely manner.

[0023] In the above technical solution, there are multiple diagnosis and treatment units, and the patient's consultation time prediction method also includes: determining the theoretical consultation time of each diagnosis and treatment unit; determining the diagnosis and treatment unit selection recommendation based on multiple theoretical consultation times; and sending the diagnosis and treatment unit selection recommendation to the target terminal.

[0024] In this technical solution, in the case where there are multiple diagnosis and treatment units, the patient's diagnosis and treatment time prediction method can determine the theoretical diagnosis and treatment times of multiple diagnosis and treatment units at the same time according to the above method, and determine the diagnosis and treatment unit with the best time based on the obtained theoretical diagnosis and treatment times of the multiple diagnosis and treatment units, and send the conditions of each diagnosis and treatment unit and the most suitable diagnosis and treatment unit as selection suggestions to the target terminal to provide reference suggestions for the patient.

[0025] In the above technical solution, before the step of determining the theoretical consultation time of each diagnosis and treatment unit, it also includes: determining the medical area corresponding to the patient's location information; and determining at least one diagnosis and treatment unit within the medical area.

[0026] In this technical solution, the diagnosis and treatment units are distributed in different medical areas. Therefore, before determining the theoretical consultation time of the patient who sets the instruction, the medical area corresponding to the patient's location should also be determined so as to determine one or more diagnosis and treatment units within the medical area for the patient to choose.

[0027] An embodiment of the second aspect of the present invention provides a cross-regional medical institution consultation system, including a processor and a memory, wherein a computer program is stored in the memory, and the processor is used to implement the steps of any patient consultation time prediction method when executing the computer program.

[0028] The cross-regional medical institution consultation system according to this embodiment includes a processor and a memory. The processor can execute the steps of any of the above-mentioned patient consultation time prediction methods according to the computer program stored in the memory.

[0029] In addition, the cross-regional medical institution treatment system includes any patient treatment time prediction method of the above-mentioned first aspect, and therefore has any beneficial effect of the above-mentioned first aspect embodiments, which will not be repeated here.

[0030] An embodiment of the third aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of any patient visit time prediction method in the above-mentioned first aspect embodiment can be implemented.

[0031] In an embodiment of the computer-readable storage medium of the present invention, a computer program is stored thereon, and when the computer program is executed by a processor, the steps of the control method in any of the above-mentioned embodiments are implemented, thereby having all the beneficial effects of the control method in any of the above-mentioned embodiments, which will not be repeated here.

[0032] Additional aspects and advantages of the present invention will become apparent from the following description or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A schematic diagram showing a flow chart of a method for predicting a patient's consultation time according to an embodiment of the present invention;

[0034] Figure 2 A schematic diagram showing a flow chart of a method for predicting a patient's consultation time according to an embodiment of the present invention;

[0035] Figure 3 A schematic diagram showing a flow chart of a method for predicting a patient's consultation time according to an embodiment of the present invention;

[0036] Figure 4 A schematic diagram showing a flow chart of a method for predicting a patient's consultation time according to an embodiment of the present invention;

[0037] Figure 5 A schematic diagram showing a flow chart of a method for predicting a patient's consultation time according to an embodiment of the present invention;

[0038] Figure 6A schematic flow chart of a method for predicting patient consultation time according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0039] In order to more clearly understand the above-mentioned purposes, features and advantages of the embodiments of the present invention, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings and specific implementation methods. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0040] In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the embodiments of the present invention may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present application is not limited to the specific embodiments disclosed below.

[0041] Refer to the following Figures 1 to 6 Some embodiments according to the invention are described.

[0042] Embodiment 1

[0043] like Figure 1 As shown, the present invention proposes a method for predicting patient consultation time, which specifically includes: step S102: obtaining an appointment instruction; step S104: determining a preset consultation time, a target diagnosis and treatment unit and an acquisition time corresponding to the preset consultation time according to the appointment instruction; step S106: determining the appointment queue information between the acquisition time and the preset consultation time; step S108: obtaining the treatment speed of the target diagnosis and treatment unit; step S110: determining the theoretical consultation time according to the treatment speed, the appointment queue information and the acquisition time.

[0044] The patient consultation time prediction method provided by the present invention first determines the preset consultation time, the target diagnosis and treatment unit and the acquisition time according to the appointment instruction. The appointment instruction is an instruction for the patient who sets the instruction to arrive at a certain diagnosis and treatment unit at a certain time to perform the consultation setting, the preset consultation time is the time when the patient is expected to arrive at the diagnosis and treatment unit, the target diagnosis and treatment unit is the diagnosis and treatment unit where the patient is expected to visit, and the acquisition time is the target diagnosis and treatment unit and the preset consultation time determined by the patient.

[0045] Further, after determining the target diagnosis and treatment unit, acquisition time and preset consultation time set by the patient who set the instruction, the appointment queue information of the diagnosis and treatment unit between the acquisition time and the preset consultation time can be obtained. The appointment queue information is the number of other patients who have made appointments for the diagnosis and treatment unit between the acquisition time and the preset consultation time.

[0046] Further, the treatment speed of the target diagnosis and treatment unit is obtained, that is, the theoretical treatment time required for the diagnosis and treatment unit to treat a patient is obtained. It can be understood that according to the number of patients included in the appointment queue information, and the theoretical treatment time required to complete the treatment of a patient, the theoretical treatment time required to complete the treatment in the appointment queue can be known. Obviously, by adding the acquisition time to the theoretical treatment time required to complete the appointment queue, the theoretical consultation time of other patients in the appointment queue can be obtained. Obviously, the patient can judge whether he can get treatment in the diagnosis and treatment unit in time according to the theoretical consultation time obtained, and further adjust his schedule to arrive at the diagnosis and treatment unit for treatment in time. If it is judged by the theoretical consultation time that it is impossible to see a doctor for a long time after the theoretical consultation time, the patient can consider arranging other times for consultation, or considering other diagnosis and treatment units for consultation. Therefore, through this method, patients can arrange consultation time very well. In addition, the patient can reasonably choose different diagnosis and treatment units for consultation according to this method. For different diagnosis and treatment units, it can also avoid the situation where some diagnosis and treatment units are overcrowded while other diagnosis and treatment units are waiting for patients due to poor information communication between the diagnosis and treatment units and patients, thereby making the distribution of patients among the diagnosis and treatment units more even and the utilization rate of medical resources higher.

[0047] Embodiment 2

[0048] like Figure 2 As shown, the present invention proposes a method for predicting patient consultation time, which specifically includes: step S202: obtaining an appointment instruction; step S204: determining a preset consultation time, a target diagnosis and treatment unit and an acquisition time corresponding to the preset consultation time according to the appointment instruction; step S206: determining the appointment queue information between the acquisition time and the preset consultation time; step S208: obtaining the consultation call time and the initial call time of the target diagnosis and treatment unit; step S210: determining the total treatment time according to the consultation call time and the initial call time; step S212: obtaining the number of patients who have completed the consultation in the diagnosis and treatment unit within the total treatment time; step S214: determining the treatment speed according to the total treatment time and the number of patients who have completed the consultation; step S216: determining the theoretical consultation time according to the treatment speed, the appointment queue information and the acquisition time.

[0049] The patient consultation time prediction method provided by the present invention, in order to obtain the treatment speed of the target diagnosis and treatment unit, first obtains the consultation call time and the initial call time of the target diagnosis and treatment unit. The consultation call time is the call time of the patient who is currently receiving treatment. When the patient is called, it indicates that the patient who was treated before the patient has completed the treatment and the patient can enter the diagnosis and treatment unit for treatment. The initial call time is the time when the first patient who visited the diagnosis and treatment unit on that day is called. It can be understood that according to the consultation call time and the initial call time, the treatment time used by the patients who have completed the treatment in the diagnosis and treatment unit on that day, that is, the total treatment time, can be known, wherein the number of patients who have completed the treatment is the number of these patients who have completed the treatment. Obviously, by dividing the total treatment time by the number of patients who have completed the treatment, the average time used by the diagnosis and treatment unit to complete the treatment of a patient, that is, the treatment speed, can be obtained.

[0050] Embodiment 3

[0051] like Figure 3 As shown, the present invention proposes a method for predicting patient consultation time, which specifically includes: step S302: obtaining an appointment instruction; step S304: determining a preset consultation time, a target diagnosis and treatment unit and an acquisition time corresponding to the preset consultation time according to the appointment instruction; step S306: determining the appointment queue information between the acquisition time and the preset consultation time; step S308: obtaining the treatment speed of the target diagnosis and treatment unit; step S310: determining the number of patients waiting for consultation according to the appointment queue information; step S312: determining the theoretical treatment time according to the number of patients waiting for consultation and the treatment speed; step S314: determining the theoretical consultation time according to the acquisition time and the theoretical treatment time.

[0052] The patient consultation time prediction method provided by the present invention includes the number of patients waiting for consultation in the diagnosis and treatment unit in the reservation queue information. It should be noted here that the acquisition time is the time when the patient who sets the instruction determines the setting instruction. It can be understood that the number of patients waiting for consultation is the number of appointment patients who have not been treated in the diagnosis and treatment unit after the acquisition time. Obviously, by multiplying the number of appointment patients and the treatment speed of the diagnosis and treatment unit, the time required to complete the treatment of these appointment patients, that is, the theoretical treatment time, can be obtained. Therefore, by adding the acquisition time and the theoretical treatment time, the theoretical consultation time can be determined, that is, the possible consultation time for completing the treatment of the patient waiting for consultation. It can be understood that the patient who sets the instruction arrives at the diagnosis and treatment unit at the preset consultation time. If the theoretical consultation time is before the preset consultation time, the patient does not need to wait and can directly see the doctor; if the theoretical consultation time is after the preset consultation time, the patient needs to wait for a period of time before seeing the doctor.

[0053] Embodiment 4

[0054] like Figure 4As shown, the present invention proposes a method for predicting patient consultation time, which specifically includes: step S402: obtaining an appointment instruction; step S404: determining a preset consultation time, a target diagnosis and treatment unit and an acquisition time corresponding to the preset consultation time according to the appointment instruction; step S406: determining the appointment queue information between the acquisition time and the preset consultation time; step S408: obtaining the treatment speed of the target diagnosis and treatment unit; step S410: determining a theoretical consultation time according to the treatment speed, the appointment queue information and the acquisition time; step S412: determining a consultation suggestion according to the preset consultation time and the theoretical consultation time; step S414: sending the theoretical consultation time and the consultation suggestion to the target terminal.

[0055] The patient consultation time prediction method provided by the present invention can determine the theoretical consultation time after the patient who sets the instruction sets the preset consultation time. When it is judged that the theoretical consultation time is later than the preset consultation time, especially much later than the preset consultation time, the patient is advised to consider visiting other diagnosis and treatment units to save time. If it is judged that the theoretical consultation time meets the preset consultation time or is earlier than the theoretical consultation time, the patient can be advised to seek medical treatment in time. Further, if it is judged that the theoretical consultation time is much earlier than the preset consultation time, the patient can be advised to arrive at the diagnosis and treatment unit early for consultation. After the theoretical consultation time and consultation suggestion have been obtained, the theoretical consultation time and consultation suggestion can be sent to the target terminal so that the patient can arrange medical treatment in time according to the theoretical consultation time and consultation suggestion.

[0056] Generally speaking, the target terminal can be the patient's mobile phone, or an Internet client, so that the patient can be informed of the theoretical consultation time and consultation recommendations in a timely manner.

[0057] Embodiment 5

[0058] like Figure 5 As shown, the present invention proposes a method for predicting patient consultation time, which specifically includes: step S502: determining the medical area corresponding to the patient's location information; step S504: determining at least one diagnosis and treatment unit within the medical area; step S506: determining the theoretical consultation time of each diagnosis and treatment unit; step S508: determining a diagnosis and treatment unit selection suggestion based on multiple theoretical consultation times; step S510: sending the diagnosis and treatment unit selection suggestion to the target terminal.

[0059] In the patient consultation time prediction method provided by the present invention, diagnosis and treatment units are distributed in different medical areas. Therefore, before determining the theoretical consultation time of the patient who sets the instruction, the medical area corresponding to the patient's position should also be determined, so as to determine one or more diagnosis and treatment units within the medical area for the patient to choose.

[0060] In the case where there are multiple diagnosis and treatment units, the patient's visit time prediction method can determine the theoretical visit times of multiple diagnosis and treatment units at the same time according to the above method, and determine the diagnosis and treatment unit with the best time based on the obtained theoretical visit times of the multiple diagnosis and treatment units, and send the conditions of each diagnosis and treatment unit and the most suitable diagnosis and treatment unit as selection suggestions to the target terminal to provide reference suggestions for the patient.

[0061] Embodiment 6

[0062] like Figure 6 As shown, the present invention proposes a method for predicting patient consultation time, which specifically includes: step S602: determining the patient location information and the diagnosis and treatment unit location information according to the appointment instruction; step S604: determining the theoretical journey time according to the patient location information and the diagnosis and treatment unit location information; step S606: determining the estimated arrival time according to the acquisition time and the theoretical journey time.

[0063] In the method for predicting the patient's appointment time provided by the present invention, the appointment instruction also includes the current location of the patient who sets the instruction, and the location of the diagnosis and treatment unit specified by the patient who sets the instruction. The theoretical travel time that the patient may take to reach the diagnosis and treatment unit can be determined by the locations of the two. Obviously, the theoretical travel time plus the acquisition time is the estimated arrival time of the patient at the diagnosis and treatment unit.

[0064] Embodiment 7

[0065] The present invention also proposes a cross-regional medical institution consultation system, including a processor and a memory, wherein a computer program is stored in the memory, and the processor is used to implement the steps of any patient consultation time prediction method when executing the computer program.

[0066] In addition, the cross-regional medical institution treatment system includes any patient treatment time prediction method of the above-mentioned first aspect, and therefore has any beneficial effect of the above-mentioned first aspect embodiments, which will not be repeated here.

[0067] Embodiment 8

[0068] The computer-readable storage medium proposed in the present invention stores a computer program thereon, and when the computer program is executed by a processor, the steps of the control method in any of the above embodiments are implemented, and thus all the beneficial effects of the control method in any of the above embodiments are achieved, which will not be repeated here.

[0069] Embodiment 9

[0070] The cross-regional medical institution medical treatment system proposed by the present invention includes a target terminal, a medical treatment map module, a medical treatment queue module, and a treatment speed module.

[0071] Among them, the medical map module includes a medical institution diagnosis and treatment unit database, a third-party map service call interface module and a medical map display interface. The medical institution diagnosis and treatment unit database stores the location information of each diagnosis and treatment unit of each medical institution in the area. The third-party map service call interface module is used to call the third-party map service, pass in the location information of the starting position and the end position, and obtain the estimated time from the starting position to the end position. The medical map display interface is used to display the location, treatment speed, estimated time to complete the medical treatment, patient location, and estimated time for the patient to arrive at each diagnosis and treatment unit of each medical institution in the area. The medical queue module includes a medical queue database and a medical queue upload interface. Each medical institution and each diagnosis and treatment unit in the area transmits the medical appointment queue information and the medical call queue information to the medical queue module through the medical queue upload interface at regular intervals, including the unique code of the medical institution, the unique code of the diagnosis and treatment unit, the unique code of the patient, the unique code of the medical appointment queue, the unique code of the medical call queue, the appointment time, the queue number, the queue time, the call time, etc. The medical appointment queue information contains the appointment time information and patient information of all patients who have made appointments for the day. The consultation call queue information contains the queue number information, queue time information, call time information and patient information of all patients who have completed the consultation, are currently being treated and are waiting for the consultation, including patients with appointments and patients who have registered on site. The call time of all patients who have completed the consultation and are currently being treated is not empty, and the call time of patients waiting for the consultation is empty. The consultation queue module stores the consultation appointment queue information and consultation call queue information uploaded by each diagnosis and treatment unit of each medical institution in the region into the consultation queue database, and distinguishes medical institutions, diagnosis and treatment units, consultation appointment queues and consultation call queues by the unique code of the medical institution, the unique code of the diagnosis and treatment unit, the unique code of the consultation appointment queue and the unique code of the consultation call queue. For medical institutions with doctors as diagnosis and treatment units, each diagnosis and treatment unit corresponds to a doctor, and the consultation appointment queue QY1 of the diagnosis and treatment unit is the consultation appointment queue of this doctor, and the consultation call queue QJ1 of the diagnosis and treatment unit is the consultation call queue of this doctor. The consultation queue module stores QY1 and QJ1 in the consultation queue database.

[0072] Furthermore, for medical institutions with departments as treatment units, a treatment unit contains multiple doctors. Patients make appointments with departments when making appointments, and see doctors when seeing doctors. The treatment unit's treatment appointment queue QY2 is the department's treatment appointment queue, and the treatment unit's treatment call queue QJ2 is the total treatment call queue formed by arranging the patients in each doctor's treatment call queue of these multiple doctors in order of queuing time. Each doctor's treatment call queue is Q1, Q2, Q3,…, and each treatment call queue contains multiple patients Q1={P11, P12, P23,…}, Q2={P21, P22, P23,…}, Q3={P31, P32, P33,…}, and the treatment unit's treatment call queue QJ2={P11, P21, P31, P12, P22, P32, P23, P23, P33,…}. The patient queue module stores QY2 and QJ2 in the patient queue database.

[0073] Furthermore, the treatment speed module is mainly used to calculate the treatment speed of each diagnosis and treatment unit of each medical institution. The treatment speed module obtains the visit call queue of each diagnosis and treatment unit from the visit queue database, subtracts the call time of the patient whose last call time is not empty from the call time of the patient whose first call time is not empty, and then divides it by the number of patients whose call time is not empty in the visit call queue, to obtain the current average treatment speed of each diagnosis and treatment unit, and stores it in the treatment speed database, including the unique code of the medical institution, the unique code of the diagnosis and treatment unit, the treatment speed, etc. It should be noted here that the appointment queue information includes the information of the patient whose first call time is not empty to the patient whose last call time is not empty.

[0074] Furthermore, the medical consultation map module adds the number of patients waiting for consultation in the consultation call queue of each diagnosis and treatment unit to the number of patients in the appointment queue based on the preset consultation times, such as 10 a.m. and 11 a.m., to obtain the number of all patients waiting for consultation in each diagnosis and treatment unit before the given time point t1 (i.e., the preset consultation time). The number is then multiplied by the treatment speed of the corresponding diagnosis and treatment unit and added to the current time to obtain t2 (i.e., the theoretical consultation time) when the corresponding diagnosis and treatment unit is expected to complete the consultation of the patients with appointments before the given time point t1. If t2 is earlier than t1, it indicates that the current diagnosis and treatment unit may have idle time before the given time point t1, and can provide medical services to more patients.

[0075] The medical map module is installed on the target terminal to obtain G0 (i.e., patient location information). The medical map module uses the patient's real-time location information G0 and the location information {G1, G2, G3, ...} of each medical unit in the area (i.e., medical unit location information) to call the map navigation function by calling the interface module to obtain the estimated arrival time {t31, t32, t33, ...} of the patient at each medical institution and each medical unit.

[0076] The medical map module displays the t2 and t3 of each treatment unit on the medical map display interface, including the location of each treatment unit of each medical institution in the area {G1, G2, G3, ...}, treatment speed {v1, v2, v3, ...}, the estimated time to complete the treatment {t21, t22, t23, ...}, the patient's location G0, the estimated time for the patient to arrive at each treatment unit {t31, t32, t33, ...}, etc., which are provided to patients as a reference for selecting medical institutions and treatment units, and each treatment unit whose t3 is earlier than t2 and t2 is earlier than t1 is recommended to patients. It can effectively avoid the situation where some treatment units are idle, making the overall treatment process more optimized.

[0077] In the technical solution of the present invention, by reasonably predicting the theoretical consultation time, patients can arrange the consultation time well and reasonably choose different diagnosis and treatment units for consultation. Patients can also be distributed more evenly among the diagnosis and treatment units, and the utilization rate of medical resources can be higher.

[0078] In the present invention, the terms "first", "second", and "third" are used for descriptive purposes only and should not be understood as indicating or implying relative importance; the term "plurality" refers to two or more, unless otherwise clearly defined. The terms "installed", "connected", "connected", "fixed", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; "connected" can be a direct connection or an indirect connection through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0079] In the description of the present invention, it is necessary to understand that the directions or positional relationships indicated by terms such as “upper”, “lower”, “left”, “right”, “front” and “back” are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or unit referred to must have a specific direction, be constructed and operated in a specific orientation, and therefore, cannot be understood as a limitation on the present invention.

[0080] In the description of this specification, the description of the terms "one embodiment", "some embodiments", "specific embodiments", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0081] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for predicting patient consultation time, characterized in that: include: Get reservation instructions; Determine the preset consultation time, the target diagnosis and treatment unit and the acquisition time corresponding to the preset consultation time according to the appointment instruction; Determine the appointment queue information between the acquisition time and the preset consultation time; Obtaining the treatment speed of the target diagnosis and treatment unit; Determine a theoretical consultation time according to the treatment speed, the reservation queue information and the acquisition time; Wherein, the preset consultation time is the time when the patient is expected to arrive at the diagnosis and treatment unit, and the acquisition time is the time when the patient who sets the instruction confirms the setting instruction; The step of obtaining the treatment speed of the target diagnosis and treatment unit specifically includes: Obtaining the consultation call time and the initial call time of the target diagnosis and treatment unit; Determining the total treatment time according to the consultation calling time and the initial calling time; Obtain the number of patients who have completed the treatment in the diagnosis and treatment unit within the total treatment time; Determine the treatment speed according to the total treatment time and the number of completed treatments; The calling time is the calling time of the patient currently receiving treatment, the initial calling time is the time when the first patient receiving treatment in the treatment unit is called on that day, the target treatment unit is the treatment unit where the patient is expected to receive treatment, and the appointment queue information includes the number of other patients who have made appointments for the treatment unit between the acquisition time and the preset treatment time; Determining the theoretical consultation time according to the treatment speed, the appointment queue information and the acquisition time specifically includes: Determine the number of patients waiting for diagnosis according to the appointment queue information; Determine theoretical treatment time according to the number of patients to be treated and the treatment speed; Determining the theoretical consultation time according to the acquisition time and the theoretical treatment time; Determining a consultation recommendation according to the preset consultation time and the theoretical consultation time; Sending the theoretical consultation time and the consultation suggestion to a target terminal; The number of patients waiting to be treated is the number of scheduled patients who have not been treated by the diagnosis and treatment unit after the acquisition time; The number of the diagnosis and treatment units is multiple, and the patient consultation time prediction method further includes: Determining the theoretical consultation time of each diagnosis and treatment unit; Determining a diagnosis and treatment unit selection recommendation based on the plurality of theoretical diagnosis and treatment times; Sending the diagnosis and treatment unit selection suggestion to the target terminal; Wherein, when it is judged that the theoretical consultation time is later than the preset consultation time, the patient is advised to consider visiting other diagnosis and treatment units; if it is judged that the theoretical consultation time is consistent with the preset consultation time, the patient is advised to visit; Before obtaining the treatment speed of the target diagnosis and treatment unit, the method further includes: Determine the patient location information and the diagnosis and treatment unit location information according to the appointment instruction; Determining theoretical travel time according to the patient location information and the diagnosis and treatment unit location information; Determining an estimated arrival time according to the acquisition time and the theoretical journey time; Before determining the theoretical consultation time of each diagnosis and treatment unit, the method further includes: Determining a medical area corresponding to the patient location information; At least one diagnosis and treatment unit within the medical area is determined.

2. A cross-regional medical institution consultation system, characterized in that: include: A processor and a memory, wherein a computer program is stored in the memory, and the processor is used to implement the steps of the patient visit time prediction method as claimed in claim 1 when executing the computer program.

3. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the patient consultation time prediction method according to claim 1 are implemented.

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