CN114244871B - Intelligent hospital convenience service system and method thereof - Google Patents
Intelligent hospital convenience service system and method thereof Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C11/00—Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C11/00—Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere
- G07C2011/04—Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere related to queuing systems
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Abstract
The invention belongs to the technical field of intelligent hospitals, and relates to a convenient service system for a user to visit a doctor and a method thereof, wherein the system comprises the following steps: the server further comprises: the system comprises an identity card acquisition module, a cloud end and mobile equipment, wherein a communication module, a processing module and a storage module are arranged in a server, the identity card acquisition module is in single-wire communication with the communication module, the communication module is in communication with the processing module, the processing module is in communication with the storage module, the communication module is in communication with the cloud end, and the cloud end is in communication with the mobile equipment.
Description
Technical Field
The invention belongs to the technical field of intelligent hospitals, and relates to a convenient service system for a user in an intelligent hospital and a method thereof.
Background
With the development and progress of society, people pay more attention to physical life and mental life, but people neglect their own health while pursuing high-quality life, and with the improvement of medical level, the average life of people is higher and higher, in order to ensure that people can make a doctor's visit quickly and timely, an intelligent system of a hospital needs to be perfected, and in many problems, queuing to make a doctor's visit causes great pressure on the treatment efficiency of the hospital, and often some departments gate lines long team and other departments are in idle state, so that a convenient doctor's visit system is needed to improve the current situation.
The applicant finds through search that the national intellectual property office discloses an intelligent triage management system for hospitals with application number (CN 201810144840.3) at 28 days of 2018, and the specific disclosure comprises: the medical system comprises a medical server, a self-help sign-in terminal, a primary diagnosis dividing screen and a secondary diagnosis dividing screen; the medical server generates a preliminary treatment queue according to the appointment registration information and transmits the preliminary treatment queue to the self-help check-in terminal; the medical server receives first check-in information of a patient sent by the self-help check-in terminal, generates a first diagnosis queue according to the first check-in information and the preliminary diagnosis queue, and sends the first diagnosis queue to a first diagnosis dividing screen; the medical server receives second check-in information of the patient sent by the self-help check-in terminal, generates a second diagnosis queue according to the second check-in information and the first diagnosis queue, and sends the second diagnosis queue to the secondary diagnosis dividing screen;
applicant also found from search that the national intellectual property agency published a mobile hospital system for application number (CN 202110619470.6) emergency medical at 2021, 9, 7, a specific disclosure including: the system comprises a background subsystem, an emergency subsystem and a mobile hospital subsystem, wherein the emergency subsystem comprises a communication module, a control module, a display module and a positioning module, the communication module receives an emergency dispatch message and displays the emergency dispatch message, the positioning module positions the real-time position of the emergency subsystem, and the control module acquires the real-time position and sends the real-time position to the background subsystem through the communication module; the first-aid subsystem comprises a road condition module, the road condition module judges whether the real-time position has road congestion, when the road congestion exists, the control module judges whether on-site rescue is needed according to the requirement that whether the first-aid subsystem can cover a first-aid request, when the first-aid request needs on-site rescue, the control module receives mobile hospital scheduling information of the mobile hospital subsystem from the background subsystem through the communication module and displays the mobile hospital scheduling information, and the two methods cannot solve the problems that the queuing sequence is determined through the treatment sequence and the reminding time is determined so as to avoid long-time queuing.
The invention provides a system and a method for the convenient service of the intelligent hospital for visiting the doctor, which are used for ensuring that the queuing sequence is determined through the visiting sequence and the reminding time is determined so as to avoid long-time queuing.
Disclosure of Invention
In order to solve the problem that compared with the traditional reservation queuing mode, the system can cause the congestion of patients in part of departments, and some departments are in an idle state, so that the treatment efficiency is reduced, and because a large amount of noise is generated outside the departments, the treatment of doctors is influenced, further, the invention provides the intelligent hospital convenience treatment service system and the intelligent hospital convenience treatment service method, which can reasonably allocate the order of the patients to ask for the departments, and avoid long-time queuing.
An intelligent hospital convenience service system, comprising: the server further comprises: the mobile terminal comprises an identity card acquisition module, a cloud end and mobile equipment, wherein a communication module, a processing module and a storage module are arranged in a server, the identity card acquisition module is in single-wire communication with the communication module, the communication module is in communication with the processing module, the processing module is in communication with the storage module, the communication module is in communication with the cloud end, and the cloud end is in communication with the mobile equipment.
Further: the identity card acquisition module is an identity card information acquisition device.
Further: the processing module comprises a comparison module and a calculation module.
A service method for facilitating the doctor's visit of an intelligent hospital comprises the following specific steps:
step 1, determining a diagnosis sequence 1-n according to a registration sequence;
step 2, determining the reminding sequence H as { H } according to the treatment sequence 1 ,H 2 ,...H n }；
And step 3, determining the early reminding time G, and carrying out diagnosis according to the reminding sequence H.
Further: the method for the order of the treatment comprises the following steps:
step 1.1 determining the registration order A of the existing patient as { A }, according to the registration time 1 ,A 2 ,A 3 ...A M M is the number of patients;
step 1.2 determining the registration order B of the first patient as { B }, according to the registration time 1 ,B 2 ,B 3 ...B N N is the number of patients for the first time;
step 1.3, after inserting the registration order sequence of the first patient visit into the registration order sequence of the existing patient, generating a visit order {1,2, 3..m, m+1, m+2..m+n }; n=m+n.
Further: the method for determining the early warning time G comprises the following steps:
step 3.1 determining whether the first patient is an existing patient or a first patient, determining the time T required for the diagnosis Is required to ；
Step 3.2 if the first patient is the first patient to be treated, T Is required to ＝T Estimating demand ；T Estimating demand ＝T Walking pre-treatment +T Pretreatment for doctor ；
T Is required to For the time of patient's need for a visit, T Estimating demand Estimated time, T, for first visit patient Walking pre-treatment For the estimated time of the first visit of the patient from the ward to the target department, T Pretreatment for doctor Predicting the time for first patient visit;
step 3.3 if the first patient is a patient who has been treated, T Is required to ＝T The existing patient needs ；T The existing patient needs ＝T Walking in the prior art +T Existing visits to the clinic ；
T Is required to For the time of patient's need for a visit, T The existing patient needs Estimated time, T, for a visit required by an existing patient Walking in the prior art For the estimated walking time of the existing patient from the ward to the target department, T Existing visits to the clinic The estimated time for the existing patient to visit;
step 3.4 determining whether the second patient is an existing patient or a patient who is first diagnosed, determining the patient's required walking time T Row of lines ；
Step 3.5 if the second patient is an existing patient, T Row of lines ＝T Walking in the prior art ；
Step 3.6 if the second patient is the first patient to visit, T Row of lines ＝T Walking pre-treatment ；
Step 3.7 determining the advance warning time g=t The last patient needs -T The patient row 。
Further: estimated walking time T Walking pre-treatment The estimated method of (2) is as follows:
step 3.2.1 determining the estimated speed V Estimating ；
Step 3.2.2 determining the estimated distance S Estimating ；
Step 3.2.3 determining the estimated time T Walking pre-treatment ，T Walking pre-treatment ＝S Estimating /V Estimating 。
Further: determining the estimated speed V Estimating The method of (1) is as follows:
step 3.2.1.1, classifying patients with first visit according to gender to generate a male patient set Q and a female patient set P;
step 3.2.1.2, arranging the sets Q and P in order of age from small to large;
step 3.2.1.3 determining the estimated speeds V corresponding to the set Q and the set P by comparing with the comparison table Estimating A collection;
step 3.2.1.4 determining the corresponding V Estimating 。
Further, the estimated distance S is determined Estimating The method of (1) is as follows:
step 3.2.2.1, determining an initial ward of the patient through mobile equipment, and setting the initial ward as a starting point;
step 3.2.2.2 determines a target department detected by the patient and sets the target department as an end point;
step 3.2.2.3 determining the distance between the initial position and the target department according to the geographical distribution of the hospital, and determining the estimated distance S Estimating 。
Further, patient T who has been treated Walking in the prior art The determining method of (1) comprises the following steps:
step 3.3.1, determining the place of the existing patient department as a starting point,
determining a first path interval of 0-2 m, and acquiring time T corresponding to interval points through a bracelet 0 And T 2 First inter-path speed
Determining a second journey interval 2-4 m, and determining the time T corresponding to the interval point through a bracelet 2 And T 4 Second journey interval speed
Determining a third interval of 4-6 m, and determining the time T corresponding to the interval point through a bracelet 4 And T 6 Third inter-path speed
Step 3.3.2, determining a target department detected by the patient, and setting the target department as an end point;
step 3.3.3, determining the distance between the starting position and the target department according to the geographical distribution of the hospital;
step 3.3.4 determining the distance between the initial position and the target department according to the geographical distribution of the hospital, and determining the estimated distance S Estimating ；
Step 3.3.5 determination of the walking time T of the existing patient Walking in the prior art ，T Walking in the prior art ＝S Estimating /V Average of
The invention has the advantages that:
the invention has the beneficial effects that the invention provides the convenient service system and the convenient service method for the people in the intelligent hospital, which are suitable for the intelligent hospital. The convenient service method for the people to visit the doctor can calculate the time required by the patient to arrive at the department, remind the patient in advance, and effectively avoid the long-time queuing of the patient.
Drawings
FIG. 1 is a schematic diagram of a system architecture of a system and method for providing convenience for a user of an intelligent hospital;
FIG. 2 is a flow chart of a method for determining order of visits by an intelligent hospital convenience service system and method thereof;
FIG. 3 is a flow chart of a method for determining advance notice time for a system and method for providing convenience for a doctor in an intelligent hospital according to the present invention;
FIG. 4 is a flow chart of a method for determining estimated walking time for a system and method for intelligent hospital convenience services;
fig. 5 is a flowchart of a method for determining estimated distance for a system and method for intelligent hospital convenience visit service.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, the mounting modes and technical terms mentioned in the present invention are technical terms already known in the art, so that they are not explained too much. Moreover, the same reference numerals are used for the same components, which do not affect nor should they constitute an accurate understanding of the technical solution by a person skilled in the art.
Embodiment one, described in connection with fig. 1-5:
the invention provides a convenient service system for a smart hospital, which specifically discloses that: the server is characterized in that: further comprises: the identity card information acquisition device comprises an identity card acquisition module, a cloud end and mobile equipment, wherein a communication module, a processing module and a storage module are arranged in a server, the identity card acquisition module is in single-line communication with the communication module, the communication module is in communication with the processing module, the processing module is in communication with the storage module, the communication module is in communication with the cloud end, the cloud end is in communication with the mobile equipment, the identity card acquisition module is an identity card information acquisition device, the processing module comprises a comparison module and a calculation module, the mobile equipment is a bracelet, and an age range comparison value and a reference threshold value are stored in the storage module.
Embodiment two, described in connection with FIGS. 1-5:
a service method for facilitating the doctor's visit of an intelligent hospital comprises the following specific implementation steps:
step 1, determining a diagnosis sequence 1-n according to a registration sequence;
step 1.1 determining the registration order A of the existing patient as { A }, according to the registration time 1 ,A 2 ,A 3 ...A M M is the number of patients;
step 1.2 determining the registration order B of the first patient as { B }, according to the registration time 1 ,B 2 ,B 3 ...B N N is the number of patients for the first time;
step 1.3, after inserting the registration order sequence of the first patient visit into the registration order sequence of the existing patient, generating a visit order {1,2, 3..m, m+1, m+2..m+n }; n=m+n.
Step 2, determining the reminding sequence H as { H } according to the treatment sequence 1 ,H 2 ,...H n }；
Step 3, determining an early reminding time G, and carrying out diagnosis according to a reminding sequence H;
step 3.1 determining whether the first patient is an existing patient or a first patient, determining the time T required for the diagnosis Is required to ；
Step 3.2 if the first patient is the first patient to be treated, T Is required to ＝T Estimating demand ；T Estimating demand ＝T Walking pre-treatment +T Pretreatment for doctor ；
Step 3.2.1 determining the estimated speed V Estimating ；
Step 3.2.1.1, classifying patients with first visit according to gender to generate a male patient set Q and a female patient set P;
step 3.2.1.2, arranging the sets Q and P in order of age from small to large;
step 3.2.1.3 determining the estimated speeds V corresponding to the set Q and the set P by comparing with the comparison table Estimating A collection;
step 3.2.1.4 determining the corresponding V Estimating ；
Step 3.2.2, determining the estimated distance;
step 3.2.2.1 determining S by the Mobile device Estimating Setting an initial ward of the patient, and setting the initial ward as a starting point;
step 3.2.2.2 determines a target department detected by the patient and sets the target department as an end point;
step 3.2.2.3 determining the distance between the initial position and the target department according to the geographical distribution of the hospital, and determining the estimated distance S Estimating ；
Step 3.2.3 determining the estimated time T Walking pre-treatment ，T Walking pre-treatment ＝S Estimating /V Estimating ；
Step 3.3 if the first patient is a patient who has been treated, T Is required to ＝T The existing patient needs ；T The existing patient needs ＝T Walking in the prior art +T Existing visits to the clinic ；
T Is required to For the time of patient's need for a visit, T The existing patient needs Estimated time, T, for a visit required by an existing patient Walking in the prior art For the estimated walking time of the existing patient from the ward to the target department, T Existing visits to the clinic The estimated time for the existing patient to visit;
step 3.3.1, determining the place of the existing patient department as a starting point,
determining a first path interval of 0-2 m, and acquiring time T corresponding to interval points through a bracelet 0 And T 2 First inter-path speed
Determining a second journey interval 2-4 m, and determining the time T corresponding to the interval point through a bracelet 2 And T 4 Second journey interval speed
Determining a third interval of 4-6 m, and determining the time T corresponding to the interval point through a bracelet 4 And T 6 Third inter-path speed
Step 3.3.2, determining a target department detected by the patient, and setting the target department as an end point;
step 3.3.3, determining the distance between the starting position and the target department according to the geographical distribution of the hospital;
step 3.3.4 determining the distance between the initial position and the target department according to the geographical distribution of the hospital, and determining the estimated distance S Estimating ；
Step 3.3.5 determining walking of the existing patientTime T Walking in the prior art ，T Walking in the prior art ＝S Estimating /V Average of 。
Step 3.4 determining whether the second patient is an existing patient or a patient who is first diagnosed, determining the patient's required walking time T Row of lines ；
Step 3.5 if the second patient is an existing patient, T Row of lines ＝T Walking in the prior art ；
Step 3.6 if the second patient is the first patient to visit, T Row of lines ＝T Walking pre-treatment ；
Step 3.7 determining the advance warning time g=t The last patient needs -T The patient row 。
Embodiment three, described in conjunction with FIGS. 1-5:
the sets Q and P are respectively:
set Q is male patients (under ten years old, ten years old-twenty years old, twenty years old-thirty years old, thirty years old-forty years old, forty years old-fifty years old, fifty years old-sixty years old, over sixty years old);
set P is female patients (under ten years old, ten years old-twenty years old, twenty years old-thirty years old, thirty years old-forty years old, forty years old-fifty years old, fifty years old-sixty years old, over sixty years old).
Embodiment four, described in connection with FIGS. 1-5:
if the patient is a 32-year-old male, the estimated speed is 100m/min and the estimated arrival time of the patient is 6min when the ward-to-department distance is 600 m;
if the patient is a 24 year old female, the estimated speed is 120m/min and the estimated arrival time of the patient is 5min when the ward-to-department distance is 600 m;
according to the table, the walking speed of the patient and the estimated required time can be estimated, the patient can be reminded to start a department according to the estimated required time, and the patient is effectively prevented from needing longer time outside the department.
Fifth embodiment: the description is given in connection with fig. 1-5:
| V 1 (m/min) | V 2 (m/min) | V 3 (m/min) | V average of (m/min) | Number of times |
| 45 | 47 | 46 | 46 | 1 |
| 50 | 52 | 57 | 53 | 2 |
| 48 | 43 | 41 | 44 | 3 |
The average speed of the first patient was (45 m/min+47m/min+46 m/min)/3=46 m/min;
the average speed of the first patient was (50 m/min+52m/min+57 m/min)/3=53 m/min;
the average speed of the first patient was (48 m/min+43m/min+41 m/min)/3=44 m/min;
according to the table, the walking speed of the patient can be accurately calculated through the method of sectionally calculating and averaging, and according to the walking speed of the patient, the accurate reminding time is calculated, so that the accuracy of reminding the patient time is improved.
Example six: the description is given in connection with fig. 1-5:
| T walking in the prior art (min) | T Existing visits to the clinic (min) | T The existing patient needs (min) |
| 5 | 10 | 25 |
| 7 | 10 | 30 |
When the patient needs 5min from the ward to the department, and the last patient has a treatment time of 10min, the time for reminding the patient is 10min+5min=15min, so that the patient needs to be reminded 15min in advance;
when the patient needs 7min from the ward to the department, and the last patient has a treatment time of 10min, the time for reminding the patient is 7min+10min=17 min, so that the patient needs to be reminded 17min in advance;
through the table, the accurate time for reminding the patient can be calculated through the walking time required by the patient and the doctor time of the last patient, so that the phenomenon that a doctor waits for the patient in a department or the waiting time of the patient outside the department is longer due to the fact that the patient is reminded too early or too late is avoided, and the table is in an ideal state: at the end of the visit of the previous patient, the next patient just reaches the gate of the department.
In conclusion, the intelligent hospital convenience treatment service method is suitable for intelligent wards, and can intelligently sort patients and reduce actual queuing time.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof; the present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the invention, but any minor modifications, equivalents, and improvements made to the above embodiments according to the technical principles of the present invention should be included in the scope of the technical solutions of the present invention.
Claims (2)
1. A convenient service method for people in an intelligent hospital is characterized in that:
step 1, determining a diagnosis sequence 1-n according to a registration sequence;
step 2, determining the reminding sequence H as { H } according to the treatment sequence 1 ,H 2 ,...H n }；
Step 3, determining an early reminding time G, and carrying out diagnosis according to a reminding sequence H specifically comprises the following steps:
step 3.1 determining whether the first patient is an existing patient or a first patient, determining the time T required for the diagnosis Is required to ；
Step 3.2 if the first patient is the first patient to be treated, T Is required to ＝T Estimating demand ；T Estimating demand ＝T Walking pre-treatment +T Pretreatment for doctor The method comprises the following steps:
T is required to For the time of patient's need for a visit, T Estimating demand Estimated time, T, for first visit patient Walking pre-treatment For the estimated time of the first visit of the patient from the ward to the target department, T Pretreatment for doctor Predicting the time for first patient visit;
step 3.2.1 determining the estimated speed V Estimating The method comprises the following steps:
step 3.2.1.1, classifying patients with first visit according to gender to generate a male patient set Q and a female patient set P;
step 3.2.1.2, arranging the sets Q and P in order of age from small to large;
step 3.2.1.3 determining the estimated speeds V corresponding to the set Q and the set P by comparing with the comparison table Estimating A collection;
step 3.2.1.4 determining the corresponding V Estimating ；
Step 3.2.2 determining the estimated distance S Estimating The method comprises the following steps:
step 3.2.2.1, determining an initial ward of the patient through mobile equipment, and setting the initial ward as a starting point;
step 3.2.2.2 determines a target department detected by the patient and sets the target department as an end point;
step 3.2.2.3 determining the distance between the initial position and the target department according to the geographical distribution of the hospital, and determining the estimated distance S Estimating ；
Step 3.2.3 determining the estimated time T Walking pre-treatment ，T Walking pre-treatment ＝S Estimating /V Estimating ；
Step 3.3 if the first patient is a patient who has been treated,T is required to ＝T The existing patient needs ；T The existing patient needs ＝T Walking in the prior art +T Existing visits to the clinic The method comprises the following steps:
T is required to For the time of patient's need for a visit, T The existing patient needs Estimated time, T, for a visit required by an existing patient Walking in the prior art For the estimated walking time of the existing patient from the ward to the target department, T Existing visits to the clinic The estimated time for the existing patient to visit;
step 3.3.1, determining the place of the existing patient department as a starting point;
determining a first path interval of 0-2 m, and acquiring time T corresponding to interval points through a bracelet 0 And T 2 First inter-path speed
Determining a second journey interval 2-4 m, and determining the time T corresponding to the interval point through a bracelet 2 And T 4 Second journey interval speed
Determining a third interval of 4-6 m, and determining the time T corresponding to the interval point through a bracelet 4 And T 6 Third inter-path speed
Step 3.3.2, determining a target department detected by the patient, and setting the target department as an end point;
step 3.3.3, determining the distance between the starting position and the target department according to the geographical distribution of the hospital;
step 3.3.4 determining the distance between the initial position and the target department according to the geographical distribution of the hospital, and determining the estimated distance S Estimating ；
Step 3.3.5 determination of the walking time T of the existing patient Walking in the prior art ，T Walking in the prior art ＝S Estimating /V Average of ；
Step 3.4 determining whether the second patient is an existing patient or a patient who is first diagnosed, determining the patient's required walking time T Row of lines ；
Step 3.5 if the second patient is an existing patient, T Row of lines ＝T Walking in the prior art ；
Step 3.6 if the second patient is the first patient to visit, T Row of lines ＝T Walking pre-treatment ；
Step 3.7 determining the advance warning time g=t The last patient needs -T The patient row 。
2. The intelligent hospital convenience service method according to claim 1, wherein: the method for the order of the treatment comprises the following steps:
step 1.1 determining the registration order A of the existing patient as { A }, according to the registration time 1 ,A 2 ,A 3 ...A M M is the number of patients;
step 1.2 determining the registration order B of the first patient as { B }, according to the registration time 1 ,B 2 ,B 3 ...B N N is the number of patients for the first time;
step 1.3, after inserting the registration order sequence of the first patient visit into the registration order sequence of the existing patient, generating a visit order {1,2, 3..m, m+1, m+2..m+n }; n=m+n.
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