CN109543948B - Follow-up examination method, device, server and medium based on data analysis - Google Patents

Follow-up examination method, device, server and medium based on data analysis Download PDF

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CN109543948B
CN109543948B CN201811235154.3A CN201811235154A CN109543948B CN 109543948 B CN109543948 B CN 109543948B CN 201811235154 A CN201811235154 A CN 201811235154A CN 109543948 B CN109543948 B CN 109543948B
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CN109543948A (en
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孙旭
刘洋
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Shenzhen Ping An Medical Health Technology Service Co Ltd
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Abstract

The embodiment of the invention provides a follow-up examination method, a follow-up examination device, a follow-up examination server and a follow-up examination medium based on data analysis, wherein the follow-up examination method can comprise the following steps: acquiring a target follow-up table of a target medical team, wherein the target follow-up table comprises at least one follow-up node recorded in a preset time range and a follow-up record corresponding to each follow-up node in the at least one follow-up node; the follow-up node comprises a follow-up time node and/or a follow-up user node; determining a target follow-up node from the at least one follow-up node; determining a follow-up quality assessment result of the target medical team according to the follow-up record corresponding to the target follow-up node; and generating assessment evaluation information comprising the follow-up quality assessment result, and sending the assessment evaluation information to a terminal corresponding to the target user team. By adopting the invention, the examination time of the medical team can be saved and the reliability of examination can be improved.

Description

Follow-up examination method, device, server and medium based on data analysis
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a follow-up examination method, device, server, and medium based on data analysis.
Background
Currently, the examination mode of the medical team is mainly through offline investigation or through self recording or card punching service of the medical team. However, offline surveys are relatively time consuming. The time saving by the healthcare team itself to record or punch cards is compared to off-line surveys, but there are cases where the data is not authentic.
Disclosure of Invention
The invention provides a follow-up examination method, a follow-up examination device, a follow-up examination server and a follow-up examination medium based on data analysis, which can save examination time of medical teams and improve examination reliability.
In a first aspect, an embodiment of the present invention provides a follow-up assessment method based on data analysis, including:
acquiring a target follow-up table of a target medical team, wherein the target follow-up table comprises at least one follow-up node recorded in a preset time range and a follow-up record corresponding to each follow-up node in the at least one follow-up node; the follow-up node comprises a follow-up time node and/or a follow-up user node;
determining a target follow-up node from the at least one follow-up node;
determining a follow-up quality assessment result of the target medical team according to the follow-up record corresponding to the target follow-up node;
And generating assessment evaluation information comprising the follow-up quality assessment result, and sending the assessment evaluation information to a terminal corresponding to the target user team.
Optionally, the method further comprises:
when the follow-up quality assessment result of the target medical team is that the follow-up quality assessment fails, a follow-up confirmation message is sent to the electronic equipment corresponding to the target user corresponding to the target follow-up node; the follow-up confirmation message is used for indicating the target user to confirm whether the target medical team has been followed up according to the target follow-up node;
receiving confirmation result information returned by the electronic equipment according to the follow-up visit confirmation message;
when the confirmation result information indicates that the target medical team does not follow-up according to the target follow-up node, acquiring first schedule information of a follow-up user corresponding to the target follow-up node, and acquiring second schedule information of the target medical team;
and determining the next follow-up time of the target medical team to the follow-up user corresponding to the target follow-up node according to the first schedule information and the second schedule information.
Optionally, the determining the target follow-up node from the at least one follow-up node includes:
acquiring a history non-follow-up node record table of a target medical team; the history non-follow-up node record table comprises history non-follow-up nodes of the target medical team;
determining the category of each non-follow-up node in the history non-follow-up nodes of the target medical team;
determining the category with the largest occurrence number in the categories to which the non-follow-up access nodes belong, and determining the follow-up node belonging to the category with the largest occurrence number in the at least one follow-up access node;
and taking the follow-up node belonging to the category with the largest occurrence number in the at least one follow-up node as a target follow-up node.
Optionally, the determining the target follow-up node from the at least one follow-up node includes:
counting the score of the at least one follow-up node;
and determining a follow-up node with the score smaller than a preset score from the at least one follow-up node, and taking the follow-up node with the score smaller than the preset score as a target follow-up node.
Optionally, the counting the score of the at least one follow-up node includes:
Acquiring a follow-up plan of each follow-up node in the at least one follow-up node;
judging whether the number of the follow-up users in the follow-up plans of all the follow-up nodes is the same as the number of the follow-up users in the follow-up records corresponding to all the follow-up nodes;
increasing a first score for a first one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the first follow-up node is the same as the number of the follow-up users in the follow-up record corresponding to the first follow-up node;
increasing a second score for a second one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the second follow-up node is different from the number of the follow-up users in the follow-up record corresponding to the second follow-up node.
Optionally, the counting the score of the at least one follow-up node includes:
acquiring a follow-up plan of each follow-up node in the at least one follow-up node;
increasing a first score for a first one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the first follow-up node is the same as the number of the follow-up users in the follow-up record corresponding to the first follow-up node;
Increasing a third score for a third one of the respective follow-up nodes; the third score is lower than the first score; the difference between the number of the follow-up users in the follow-up plan corresponding to the third follow-up node and the number of the follow-up users in the follow-up record corresponding to the third follow-up node is larger than a first preset value and smaller than a second preset value; the second preset value is larger than the first preset value;
increasing a fourth score for a fourth one of the respective follow-up nodes; the difference value between the number of the follow-up users in the follow-up plan corresponding to the fourth follow-up node and the number of the follow-up users in the follow-up record corresponding to the fourth follow-up node is larger than or equal to a second preset value; the fourth score is lower than the third score.
Optionally, the determining, according to the follow-up record corresponding to the target follow-up node, a follow-up quality assessment result of the target medical care team includes:
acquiring a follow-up plan of the target follow-up node;
when the difference value between the number of the follow-up users of the follow-up plan of the target follow-up node and the number of the follow-up users in the follow-up record is smaller than a third preset value, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment is failed; or alternatively, the first and second heat exchangers may be,
When the identification of the follow-up user of the follow-up plan of the target follow-up node does not comprise the identification of the follow-up user in the follow-up record, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment is failed; or alternatively, the first and second heat exchangers may be,
when the follow-up times of the follow-up plan of the target follow-up node are different from the follow-up times in the follow-up record, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment is failed; or alternatively, the first and second heat exchangers may be,
and when the follow-up service of the follow-up plan of the target follow-up node is different from the follow-up service in the follow-up record, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment fails.
In a second aspect, an embodiment of the present invention provides a follow-up assessment device based on data analysis, comprising means for performing the method according to the first aspect.
In a third aspect, an embodiment of the present invention provides a server, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, and the memory is configured to store a computer program, where the computer program includes program instructions, and where the processor is configured to invoke the program instructions to perform a method according to the first aspect.
In a fourth aspect, embodiments of the present invention provide a computer readable storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of the first aspect.
In summary, the server may acquire the target follow-up table of the target medical team, and determine the target follow-up node from at least one follow-up node recorded in the preset time range included in the target follow-up table, so as to determine, according to the follow-up record corresponding to the target follow-up node, a follow-up quality assessment result of the target medical team, so as to send assessment evaluation information including the follow-up quality assessment result to a terminal corresponding to the target user team, thereby saving assessment time of the medical team and improving reliability of assessment.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a follow-up assessment method based on data analysis according to an embodiment of the present invention;
FIG. 2 is a flow chart of another follow-up assessment method based on data analysis according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a network architecture of a follow-up assessment system based on data analysis according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a follow-up examination device based on data analysis according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described below with reference to the accompanying drawings in the embodiments of the present invention.
Referring to fig. 1, a flow chart of a follow-up examination method based on data analysis according to an embodiment of the present invention is shown. The method can be applied to a server. The server may be a server or a cluster of servers in the internet. Specifically, the method may comprise the steps of:
s101, acquiring a target follow-up table of a target medical care team, wherein the target follow-up table comprises at least one follow-up node recorded in a preset time range and a follow-up record corresponding to each follow-up node in the at least one follow-up node.
In the embodiment of the invention, the server can acquire the target follow-up form of the target medical team from the database. Multiple follow-up forms for the target healthcare team may be stored in the database.
Wherein the preset time range may be divided in various forms such as month, quarter, year, etc. The follow-up node comprises a follow-up time node and/or a follow-up user node. The follow-up time node may be a combination of any one or more of year, month, week, day and time of day. For example, the follow-up time node may be 2018, 7, 20. When the follow-up node comprises a follow-up time node, each of the at least one follow-up time node may be different. The follow-up user node may be a set of follow-up users, which may include one or more follow-up users. The follow-up user is a user who needs follow-up among subscribers of the target healthcare team, or a user who needs the target healthcare team to provide follow-up services. In one embodiment, the follow-up user node may be determined based on location information and/or condition information of the subscribed follow-up user. The condition information includes at least a disease type, which may be a disease name, or a name of a category to which the disease belongs. When the follow-up node comprises a follow-up user node, each of the at least one follow-up user node may be the same or different.
For example, the at least one follow-up node may comprise at least one first follow-up user node, which is a follow-up user node corresponding to the first community, and in one embodiment, the at least one follow-up node may further comprise at least one second follow-up user node, which is a follow-up user node corresponding to the second community. The second follow-up user node is different from the first follow-up user node. Alternatively, the first follow-up user node may be a follow-up user node corresponding to a first disease type (e.g., hypertension), and the second follow-up user node may be a follow-up user node corresponding to a second disease type (e.g., diabetes).
When the follow-up node comprises a follow-up time node and a follow-up user node, each of the at least one follow-up time node corresponds to at least one follow-up user node. For example, the first follow-up user node corresponds to the following time node 2018, 7, 20 and the second follow-up user node corresponds to the following time node 2018, 7, 21.
S102, determining a target follow-up node from the at least one follow-up node.
To facilitate the review process for the target healthcare team, the server may determine a target follow-up node from the at least one follow-up node to review the target healthcare team for follow-up quality. The follow-up quality assessment can be used for measuring the service level of the medical team to the follow-up user corresponding to the follow-up node.
In one embodiment, the server determining the target follow-up node from the at least one follow-up node may include: the server acquires a history non-follow-up node record table of the target medical team; the history non-follow-up node record table includes history non-follow-up nodes of the target healthcare team; the server determines the category of each non-follow-up node in the history non-follow-up nodes of the target medical team; the server determines the category with the largest occurrence number in the categories to which the non-follow-up access nodes belong, and determines the follow-up node belonging to the category with the largest occurrence number in the at least one follow-up access node; the server takes the follow-up node belonging to the category with the largest occurrence number in the at least one follow-up node as a target follow-up node. When the follow-up node comprises a follow-up time node, the category may be a date, including but not limited to any one or more of the following: monday, tuesday, saturday, sunday, or may further include any one or more of the following: january, february, march, april, june, september, october, deerhorn, or any one or more of the following may be included: first week, second week, third week, fourth week. When the follow-up node includes a follow-up user node, the category may be an area corresponding to location information of a follow-up user corresponding to the follow-up node, where the area may be divided according to various forms such as county, district, country, street, community, etc., and the embodiment of the present invention is not limited herein. When the follow-up node comprises a follow-up user node, the category may also be a disease type of the follow-up user to which the follow-up node corresponds.
In one embodiment, the server determining the target follow-up node from the at least one follow-up node may include: the server counting the score of the at least one follow-up node; and the server determines the follow-up node with the score smaller than the preset score from the at least one follow-up node, and takes the follow-up node with the score smaller than the preset score as a target follow-up node. By selecting the follow-up node with smaller score as the target follow-up node, the typical follow-up node with poor performance of the target medical team can be checked in a targeted manner, and the effectiveness of the check can be improved.
In one embodiment, the server counts the score of the at least one follow-up node, and may further include: the server obtains the follow-up plans of all the follow-up nodes in the at least one follow-up node; the server judges whether the number of the follow-up users in the follow-up plans of each follow-up node is the same as the number of the follow-up users in the follow-up records corresponding to each follow-up node; the server increasing a first score for a first one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the first follow-up node is the same as the number of the follow-up users in the follow-up record corresponding to the first follow-up node; the server increasing a second score for a second one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the second follow-up node is different from the number of the follow-up users in the follow-up record corresponding to the second follow-up node. Wherein, the follow-up plan is recorded before follow-up. The follow-up record is entered during or after the follow-up. Typically, the number of follow-up users in the follow-up plan will be greater than the number of follow-up users in the follow-up record. In one embodiment, the number of the follow-up users in the follow-up plan of the first follow-up node is determined according to the number of the subscribers corresponding to the first follow-up node, and the number of the follow-up users in the follow-up plan of the second follow-up node is determined according to the number of the subscribers corresponding to the second follow-up node.
That is, the server may determine, from the respective follow-up nodes, a first follow-up node having the same number of follow-up users in the follow-up plan as the number of follow-up users in the corresponding follow-up record, thereby increasing the first score, e.g., 6, for the first one of the respective follow-up nodes. The number of the follow-up users in the follow-up plan is the same as the number of the follow-up users in the corresponding follow-up records, which indicates that the number of the follow-up users reaches the standard, so that the first score can be increased. The server may further determine a second follow-up node from the respective follow-up nodes, the number of follow-up users in the follow-up plan being different from the number of users in the corresponding follow-up record, thereby increasing a second score for the second follow-up node from the respective follow-up node. The number of the follow-up users in the follow-up plan is different from the number of the follow-up users in the corresponding follow-up records, which means that the number of the follow-up users does not reach the standard, so that the second score can be increased. I.e. when the number of follow-up users in the follow-up plan of the second one of the respective follow-up nodes is greater than the number of follow-up users in the corresponding follow-up record, a second score is set for the second one of the respective follow-up nodes, which second score is smaller than the first score, e.g. the second score may be 3 points, or 0 points.
In one embodiment, the server counts the score of the at least one follow-up node, and may further include: increasing a first score (e.g., 6 points) for a first one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the first follow-up node is the same as the number of the follow-up users in the follow-up record corresponding to the first follow-up node; the server obtains the follow-up plans of all the follow-up nodes in the at least one follow-up node; the server increasing a third score (e.g., 3 points) for a third one of the respective follow-up nodes; the difference between the number of the follow-up users in the follow-up plan corresponding to the third follow-up node and the number of the follow-up users in the follow-up record corresponding to the third follow-up node is larger than a first preset value (for example, 0 person) and smaller than a second preset value (for example, 3 persons); increasing a fourth score (e.g., 0 score) for a fourth one of the respective follow-up nodes; the difference between the number of the follow-up users in the follow-up plan corresponding to the fourth follow-up node and the number of the follow-up users in the follow-up record corresponding to the fourth follow-up node is larger than or equal to a second preset value (for example, 3 persons); the second preset value is larger than the first preset value, and the fourth score is lower than the third score. Wherein the third score may be less than or equal to the first score. In the embodiment of the invention, the larger the difference between the number of the follow-up users in the follow-up plan and the number of the follow-up users in the follow-up records is, the more serious the condition that the number of the follow-up users does not reach the standard is, so that the score of the at least one follow-up node can be effectively counted by setting the score in the mode.
S103, determining the follow-up quality assessment result of the target medical care team according to the follow-up record corresponding to the target follow-up node.
The follow-up quality assessment result can be used for measuring the service level of the medical team on the follow-up user corresponding to the follow-up node. The follow-up quality assessment result can be that the follow-up quality assessment is passed or the follow-up quality assessment is not passed. In one embodiment, the follow-up quality assessment result may also be presented in a class or score form, and the embodiments of the present invention are not described herein.
In the embodiment of the present invention, the server determines the follow-up quality assessment result of the target medical care team according to the follow-up record corresponding to the target follow-up node, which may include: the server acquires a follow-up plan of the target follow-up node; when the difference between the number of the follow-up users of the follow-up plan of the target follow-up node and the number of the follow-up users in the follow-up record is larger than a third preset value (for example, 0 person), the server determines that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment fails; or when the difference between the number of the follow-up users of the follow-up plan of the target follow-up node and the number of the follow-up users in the follow-up record is larger than a fourth preset value (for example, 3 persons), determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment fails. In addition to setting the third preset value and the fourth preset value, a fifth preset value and a sixth preset value may be set, which is not limited in the embodiment of the present invention. The fifth preset value may be greater than the fourth preset value, and the sixth preset value may be greater than the fifth preset value.
Or, the server determines the follow-up quality assessment result of the target medical care team according to the follow-up record corresponding to the target follow-up node, and the method further comprises the following steps: the server acquires a follow-up plan of the target follow-up node; when the identification of the follow-up user of the follow-up plan of the target follow-up node does not comprise the identification of the follow-up user in the follow-up record, the server determines that the follow-up quality assessment result of the target medical team is that the follow-up quality assessment fails. Wherein the identification of the follow-up user includes, but is not limited to, the name, identification card number, contact information, etc. of the follow-up user for uniquely identifying the follow-up user. In the embodiment of the invention, when the follow-up user of the follow-up plan does not comprise the follow-up user of the non-follow-up record, the phenomenon that the follow-up record is falsified or falsified is indicated to exist, so that the occurrence of the phenomenon can be effectively avoided by verifying whether the identification of the follow-up user of the follow-up plan of the target follow-up node comprises the identification of the follow-up user in the follow-up record, and the follow-up quality assessment result is more reliable.
Or when the identification of the follow-up user of the follow-up plan of the target follow-up node does not include the identification of the follow-up user in the follow-up record, the server determines that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment fails, and may further include: and when the server determines that the number of the follow-up user identifiers of the follow-up plan of the target follow-up node does not include the number of the follow-up user identifiers in the follow-up record and the number of the follow-up user identifiers of the follow-up plan of the target follow-up node does not include the number of the follow-up user identifiers in the follow-up record is larger than the preset number, determining that the follow-up quality assessment result of the target medical team is that the follow-up quality assessment fails. By further combining the identification number to judge, judgment errors caused by the situations that the identification of the follow-up user of the follow-up plan is incomplete or the identification of the follow-up user of the follow-up plan is changed, wrong and the like can be effectively avoided.
Or, the server determines the follow-up quality assessment result of the target medical care team according to the follow-up record corresponding to the target follow-up node, and the method further comprises the following steps: when the follow-up times of the follow-up plan of the target follow-up node are different from the follow-up times in the follow-up record, the server determines that the follow-up quality assessment result of the target medical team is that the follow-up quality assessment fails. In the embodiment of the invention, the follow-up times of the follow-up schedule are different from the follow-up times in the follow-up records, which indicates that the target medical team does not finish the specified follow-up times or indicates that the follow-up records have the phenomena of falsification and the like, so that the follow-up quality assessment result is more reliable by verifying whether the follow-up times of the follow-up schedule of the target follow-up node are the same as the follow-up times in the follow-up records.
In one embodiment, when the number of follow-up times of the follow-up plan of the target follow-up node is different from the number of follow-up times in the follow-up record, determining that the follow-up quality assessment result of the target healthcare team is that the follow-up quality assessment fails may include: and when the follow-up times of the follow-up plans of the target follow-up nodes are different from the follow-up times in the follow-up records, and the follow-up times of the follow-up plans of the target follow-up nodes are larger than the follow-up times in the follow-up records, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment fails. By judging the number of follow-up times, the judgment error caused by special conditions (such as the follow-up user corresponding to the target follow-up node cancels the follow-up journey) can be effectively avoided.
Or, the server determines the follow-up quality assessment result of the target medical care team according to the follow-up record corresponding to the target follow-up node, and the method further comprises the following steps: the server acquires a follow-up plan of the target follow-up node; and when the follow-up service of the follow-up plan of the target follow-up node is different from the follow-up service in the follow-up record, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment fails. The number of follow-up services may be one or more, for example, the follow-up services may include health guidance services and may also include health physical examination services.
Accordingly, the server may determine whether the follow-up service of the target follow-up node's follow-up plan is the same as the follow-up service in the follow-up record by determining whether the category of the follow-up service of the target follow-up node's follow-up plan is the same as the type of the follow-up service in the follow-up record. Alternatively, the server may determine whether the follow-up service of the target follow-up node's follow-up plan is the same as the follow-up service in the follow-up record by determining whether the number of follow-up services of the target follow-up node's follow-up plan is the same as the number of follow-up services in the follow-up record.
S104, generating assessment evaluation information comprising the follow-up quality assessment result, and sending the assessment evaluation information to a terminal corresponding to the target user team.
In the embodiment of the present invention, the assessment information may further include other information such as service attitude assessment score, service quality assessment score, check-in times, etc., which is not limited herein.
In one embodiment, when the follow-up quality assessment result is that the follow-up quality assessment is failed, the server determines at least one user in a contracted state with the target medical team, determines information of the at least one medical team from the medical team information set according to user information of the at least one user, and sends the information of the at least one medical team to a terminal corresponding to the at least one user. Wherein the user information comprises location information and/or condition information comprising a disease type and/or disease description information.
In one embodiment, when the follow-up quality assessment result is that the follow-up quality assessment is failed, the server determines the number of times that the follow-up quality assessment of the target medical team is failed, when the number of times that the follow-up quality assessment of the target medical team is failed exceeds a preset number of times, determines at least one user in a signed state with the target medical team, determines information of at least one medical team from a medical team information set according to user information of the at least one user, and sends the information of the at least one medical team to a terminal corresponding to the at least one user.
Specifically, the server determines information of at least one medical team from the medical team information set according to user information of the at least one user. May include: the server determines that the disease diagnosis range comprises information of at least one medical team of the disease type from the medical team information set according to the disease type of the at least one user; or, the server determines the disease grade of the at least one user according to the disease type and the disease description information of the at least one user, and determines the information of at least one medical team corresponding to the disease grade from the medical team information set; or determining the information of at least one medical team in the area corresponding to the position information of the at least one user from the medical team information set.
In one embodiment, when a transfer request for a designated medical team returned by the at least one user according to the at least one medical team is received, a transfer operation between the at least one user and the designated medical team is designated. The transfer operation includes: and sending a transfer sign prompt message to a terminal corresponding to the appointed medical team, and confirming that the transfer sign of the at least one medical team is successful when receiving a confirmation transfer sign instruction returned by the terminal corresponding to the appointed medical team according to the transfer sign prompt message.
In one embodiment, when the follow-up quality assessment result is that the follow-up quality assessment is failed, the server determines at least one user in a signed state with the target medical team, sends a resolution prompt message to a terminal corresponding to the at least one user, and when a confirmation resolution instruction returned according to the transfer prompt message by the terminal corresponding to the at least one user is received, deletes the corresponding relation between the identification of the at least one user and the identification of the target medical team from the signed list. Wherein the identification of the target healthcare team includes, but is not limited to, the name, contact address of the target healthcare team.
In one embodiment, when the follow-up quality assessment result is that the follow-up quality assessment is failed, the server determines the number of times that the follow-up quality assessment of the target medical team is failed, when the number of times that the follow-up quality assessment is failed exceeds a preset number of times, determines at least one user in a signed-up state with the target medical team, sends a resolution prompt message to a terminal corresponding to the at least one user, and when a resolution confirmation instruction returned according to the resolution prompt message by the terminal corresponding to the at least one user is received, deletes the correspondence between the identification of the at least one user and the identification of the target medical team from a signed-up list.
In the embodiment shown in fig. 1, the server may obtain the target follow-up table of the target medical team, and determine the target follow-up node from at least one follow-up node recorded in the preset time range included in the target follow-up table, so as to determine, according to the follow-up record corresponding to the target follow-up node, a follow-up quality assessment result of the target medical team, so as to send assessment evaluation information including the follow-up quality assessment result to a terminal corresponding to the target user team, thereby saving assessment time of the medical team and improving reliability of assessment.
Referring to fig. 2, a flow chart of another follow-up examination method based on data analysis according to an embodiment of the present invention is shown. The method can be applied to a server. Specifically, the method may comprise the steps of:
s201, acquiring a target follow-up table of a target medical team, wherein the target follow-up table comprises at least one follow-up node recorded in a preset time range and a follow-up record corresponding to each follow-up node in the at least one follow-up node;
s202, determining a target follow-up node from the at least one follow-up node;
S203, determining a follow-up quality assessment result of the target medical team according to the follow-up record corresponding to the target follow-up node;
s204, generating assessment evaluation information comprising the follow-up quality assessment result, and sending the assessment evaluation information to a terminal corresponding to the target user team.
Steps S201 to S204 may refer to steps S101 to S104 in the embodiment of fig. 1, and the embodiment of the present invention is not limited herein.
In an alternative embodiment, step S204 is an optional step.
S205, when the follow-up quality assessment result of the target medical team is that the follow-up quality assessment is failed, a follow-up confirmation message is sent to the electronic equipment corresponding to the target user corresponding to the target follow-up node.
In order to ensure the accuracy of the follow-up quality assessment result, the server can send a follow-up confirmation message to the electronic device corresponding to the target user corresponding to the target follow-up node when the follow-up quality assessment result of the target medical team is that the follow-up quality assessment is failed. The target user may be one user or a plurality of users, and the electronic device corresponding to the target user includes, but is not limited to, an intelligent terminal such as a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., and the follow-up confirmation message is used to instruct the target user to confirm whether the target medical team has been followed up according to the target follow-up node.
S206, receiving confirmation result information returned by the electronic equipment according to the follow-up confirmation message.
The electronic device can return the confirmation result information according to the follow-up confirmation message, and the server can save the confirmation result information returned by the electronic device according to the follow-up confirmation message. The confirmation result information is used for indicating whether the target medical team is subjected to follow-up according to the target follow-up result.
In an application scenario, the follow-up confirmation message may include a follow-up option and a non-follow-up option, and the electronic device may send confirmation result information indicating that the target healthcare team performs follow-up according to the target follow-up node to the server when receiving the selection operation of the target user for the follow-up option, and send confirmation result information indicating that the target healthcare team does not perform follow-up according to the target follow-up node to the server when receiving the selection operation of the target user for the non-follow-up option.
S207, when the confirmation result information indicates that the target medical team does not follow-up according to the target follow-up node, acquiring first schedule information of a follow-up user corresponding to the target follow-up node, and acquiring second schedule information of the target medical team.
In order to improve user experience, when the confirmation result information indicates that the target medical team does not follow-up according to the target follow-up node, the server may acquire first schedule information of a follow-up user corresponding to the target follow-up node, and acquire second schedule information of the target medical team, so as to determine a next follow-up time for the follow-up user corresponding to the target follow-up node. Wherein the first schedule information may include a first idle time, i.e., a time that facilitates a follow-up by the target healthcare team. The second schedule information may comprise a second idle time, i.e. a time at which a corresponding follow-up user of the target follow-up node is convenient to follow-up. The number of the corresponding follow-up users of the target follow-up node can be one or more. When the number of the follow-up users corresponding to the target follow-up time node is multiple, the first idle time of each follow-up user in the follow-up users corresponding to the target follow-up time node may be different or the same. For example, if the follow-up users corresponding to the target follow-up node include user 1, user 2, user 3, and user 4, the first idle time of user 1 is any time on the weekend, the first idle time of user 2 is monday am-friday am, the first idle time of user 3 is monday am-friday am, and the first idle time of user 4 is monday am-friday am. Wherein the first idle time of the resident 3 is the same as the first idle time of the resident 4.
In one embodiment, the server may obtain first schedule information of the follow-up user corresponding to the target follow-up node from the database and obtain second schedule information of the target healthcare team. Or, the first schedule information of the follow-up user corresponding to the target follow-up node can be obtained from the equipment corresponding to the follow-up user corresponding to the target follow-up node, and the second schedule information of the target medical team can be obtained from the terminal corresponding to the target medical team.
S208, determining the next follow-up time of the target medical team to the follow-up user corresponding to the target follow-up node according to the first schedule information and the second schedule information.
In the embodiment of the present invention, the determining, by the server, the next follow-up time of the target medical team to the follow-up user corresponding to the target follow-up node according to the first schedule information and the second schedule information may include: the server determines the time meeting the preset condition according to the first idle time included in the first schedule information; and determining the next follow-up time of the target medical team for the follow-up user corresponding to the target follow-up node according to the time meeting the preset condition and the second idle time.
In one embodiment, the server determines, according to a first idle time included in the first schedule information, a time when a preset condition is satisfied; according to the time meeting the preset condition and the second idle time, determining the next follow-up time of the follow-up user corresponding to the target follow-up node by the target medical team may include: the server counts the number of the contracted residents with the same idle time in the first idle time, and selects the idle time with the largest number of the contracted residents in each idle time as the time meeting the preset condition; and determining the next follow-up time of the target medical team for the follow-up user corresponding to the target follow-up node according to the time meeting the preset condition and the second idle time. For example, if the server determines that the idle time with the largest number of contracted residents in each idle time is friday-friday, and the second idle time is friday-friday, the server may determine that the next follow-up time of the target medical team for the follow-up user corresponding to the target follow-up node is friday.
In the embodiment shown in fig. 2, the server may obtain the target follow-up table of the target medical team, and determine the target follow-up node from at least one follow-up node recorded in the preset time range included in the target follow-up table, so as to determine, according to the follow-up record corresponding to the target follow-up node, a follow-up quality assessment result of the target medical team, so as to send assessment evaluation information including the follow-up quality assessment result to a terminal corresponding to the target user team, thereby saving assessment time of the medical team and improving reliability of assessment. And when the confirmation result information indicates that the target medical team does not perform follow-up according to the target follow-up node, determining the next follow-up time of the target medical team for the follow-up user corresponding to the target follow-up node, thereby improving user experience.
Referring to fig. 3, a network architecture diagram of a follow-up examination system based on data analysis is provided in an embodiment of the present invention. Specifically, the system may include a server 10, a terminal 20 corresponding to a target healthcare team, and the server 10 may communicate with the terminal 20 corresponding to the target healthcare team. In one embodiment, the system may further include an electronic device 30 corresponding to a target user corresponding to the target follow-up node, the electronic device 30 being in communication with the server 10.
The server 10 may save the time of assessment for the medical team and improve the reliability of the assessment by performing steps S101-S104 to send the generated assessment information including the follow-up quality assessment result to the terminal 20.
In one embodiment, when the quality of the follow-up examination results in that the quality of the follow-up examination fails, the server 10 may further send a follow-up confirmation message to the electronic device 30 by executing steps S205-S206, receive confirmation result information returned by the electronic device 30, and determine the next follow-up time for the follow-up user corresponding to the target follow-up node by executing steps S207-S208 so that the target medical team performs the follow-up again, thereby improving the user experience.
Referring to fig. 4, a schematic structural diagram of a follow-up examination device based on data analysis according to an embodiment of the present invention is shown. Wherein the device can be applied to a server. Specifically, the apparatus may include:
an obtaining unit 401, configured to obtain a target follow-up table of a target healthcare team, where the target follow-up table includes at least one follow-up node recorded in a preset time range and a follow-up record corresponding to each of the at least one follow-up node; the follow-up node comprises a follow-up time node and/or a follow-up user node;
a processing unit 402, configured to determine a target follow-up node from the at least one follow-up node;
the processing unit 402 is further configured to determine a follow-up quality assessment result of the target healthcare team according to a follow-up record corresponding to the target follow-up node;
the processing unit 402 is further configured to generate assessment information including the follow-up quality assessment result;
and the communication unit 403 is configured to send the assessment information to a terminal corresponding to the target user team.
Optionally, the communication unit 403 is further configured to send a follow-up acknowledgement message to an electronic device corresponding to a target user corresponding to the target follow-up node when the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment fails; the follow-up confirmation message is used for indicating the target user to confirm whether the target medical team has been followed up according to the target follow-up node; and receiving confirmation result information returned by the electronic equipment according to the follow-up visit confirmation message.
The processing unit 402 is further configured to obtain first schedule information of a follow-up user corresponding to the target follow-up node and obtain second schedule information of the target medical team when the confirmation result information indicates that the target medical team does not follow-up according to the target follow-up node; and determining the next follow-up time of the target medical team to the follow-up user corresponding to the target follow-up node according to the first schedule information and the second schedule information.
Optionally, the processing unit 402 determines a target follow-up node from the at least one follow-up node, specifically, obtains a history non-follow-up node record table of the target healthcare team; the history non-follow-up node record table comprises history non-follow-up nodes of the target medical team; determining the category of each non-follow-up node in the history non-follow-up nodes of the target medical team; determining the category with the largest occurrence number in the categories to which the non-follow-up access nodes belong, and determining the follow-up node belonging to the category with the largest occurrence number in the at least one follow-up access node; and taking the follow-up node belonging to the category with the largest occurrence number in the at least one follow-up node as a target follow-up node.
Optionally, the processing unit 402 determines a target follow-up node from the at least one follow-up node, in particular counts the score of the at least one follow-up node; and determining a follow-up node with the score smaller than a preset score from the at least one follow-up node, and taking the follow-up node with the score smaller than the preset score as a target follow-up node.
Optionally, the processing unit 402 counts the score of the at least one follow-up node, specifically, obtains the follow-up plan of each follow-up node in the at least one follow-up node; judging whether the number of the follow-up users in the follow-up plans of all the follow-up nodes is the same as the number of the follow-up users in the follow-up records corresponding to all the follow-up nodes; increasing a first score for a first one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the first follow-up node is the same as the number of the follow-up users in the follow-up record corresponding to the first follow-up node; increasing a second score for a second one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the second follow-up node is different from the number of the follow-up users in the follow-up record corresponding to the second follow-up node.
Optionally, the processing unit 402 counts the score of the at least one follow-up node, specifically, obtains the follow-up plan of each follow-up node in the at least one follow-up node; increasing a first score for a first one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the first follow-up node is the same as the number of the follow-up users in the follow-up record corresponding to the first follow-up node; increasing a third score for a third one of the respective follow-up nodes; the third score is lower than the first score; the difference between the number of the follow-up users in the follow-up plan corresponding to the third follow-up node and the number of the follow-up users in the follow-up record corresponding to the third follow-up node is larger than a first preset value and smaller than a second preset value; the second preset value is larger than the first preset value; increasing a fourth score for a fourth one of the respective follow-up nodes; the difference value between the number of the follow-up users in the follow-up plan corresponding to the fourth follow-up node and the number of the follow-up users in the follow-up record corresponding to the fourth follow-up node is larger than or equal to a second preset value; the fourth score is lower than the third score.
Optionally, the processing unit 402 determines a follow-up quality assessment result of the target medical care team according to the follow-up record corresponding to the target follow-up node, specifically, obtains a follow-up plan of the target follow-up node; when the difference value between the number of the follow-up users of the follow-up plan of the target follow-up node and the number of the follow-up users in the follow-up record is larger than a third preset value, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment is failed; or when the identification of the follow-up user of the follow-up plan of the target follow-up node does not comprise the identification of the follow-up user in the follow-up record, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment is not passed; or when the follow-up times of the follow-up plan of the target follow-up node are different from the follow-up times in the follow-up record, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment is not passed; or when the follow-up service of the follow-up plan of the target follow-up node is different from the follow-up service in the follow-up record, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment fails.
In the embodiment shown in fig. 4, the server may obtain the target follow-up table of the target medical team, and determine the target follow-up node from at least one follow-up node recorded in the preset time range included in the target follow-up table, so as to determine, according to the follow-up record corresponding to the target follow-up node, a follow-up quality assessment result of the target medical team, so as to send assessment evaluation information including the follow-up quality assessment result to a terminal corresponding to the target user team, thereby saving assessment time of the medical team and improving reliability of assessment.
Fig. 5 is a schematic structural diagram of a server according to an embodiment of the present invention. The server described in the present embodiment may include: one or more processors 100, one or more input devices 200, one or more output devices 300, and a memory 400. The processor 100, the input device 200, the output device 300, and the memory 400 may be connected by a bus.
The input device 200, the output device 300 may be a standard wired or wireless communication interface.
The processor 100 may be a central processing module (Central Processing Unit, CPU) that may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Memory 400 may be a high-speed RAM memory or a non-volatile memory, such as a disk memory. The memory 400 is used to store a set of program codes, and the input device 200, the output device 300, and the processor 100 may call the program codes stored in the memory 400. Specifically:
a processor 100, configured to obtain a target follow-up table of a target healthcare team, where the target follow-up table includes at least one follow-up node recorded in a preset time range and a follow-up record corresponding to each of the at least one follow-up node; the follow-up node comprises a follow-up time node and/or a follow-up user node; determining a target follow-up node from the at least one follow-up node; determining a follow-up quality assessment result of the target medical team according to the follow-up record corresponding to the target follow-up node; generating assessment information comprising the follow-up quality assessment result; and sending the assessment and evaluation information to a terminal corresponding to the target user team through an output device 300.
Optionally, the processor 100 is further configured to send, when the follow-up quality assessment result of the target healthcare team is that the follow-up quality assessment fails, a follow-up confirmation message to an electronic device corresponding to a target user corresponding to the target follow-up node through the output device 300; the follow-up confirmation message is used for indicating the target user to confirm whether the target medical team has been followed up according to the target follow-up node; receiving confirmation result information returned by the electronic device according to the follow-up visit confirmation message through the input device 200; when the confirmation result information indicates that the target medical team does not follow-up according to the target follow-up node, acquiring first schedule information of a follow-up user corresponding to the target follow-up node, and acquiring second schedule information of the target medical team; and determining the next follow-up time of the target medical team to the follow-up user corresponding to the target follow-up node according to the first schedule information and the second schedule information.
Optionally, the processor 100 determines a target follow-up node from the at least one follow-up node, specifically, obtains a history non-follow-up node record table of the target healthcare team; the history non-follow-up node record table comprises history non-follow-up nodes of the target medical team; determining the category of each non-follow-up node in the history non-follow-up nodes of the target medical team; determining the category with the largest occurrence number in the categories to which the non-follow-up access nodes belong, and determining the follow-up node belonging to the category with the largest occurrence number in the at least one follow-up access node; and taking the follow-up node belonging to the category with the largest occurrence number in the at least one follow-up node as a target follow-up node.
Optionally, the processor 100 determines a target follow-up node from the at least one follow-up node, in particular counts the score of the at least one follow-up node; and determining a follow-up node with the score smaller than a preset score from the at least one follow-up node, and taking the follow-up node with the score smaller than the preset score as a target follow-up node.
Optionally, the processor 100 counts the score of the at least one follow-up node, in particular, obtains the follow-up plan of each of the at least one follow-up node; judging whether the number of the follow-up users in the follow-up plans of all the follow-up nodes is the same as the number of the follow-up users in the follow-up records corresponding to all the follow-up nodes; increasing a first score for a first one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the first follow-up node is the same as the number of the follow-up users in the follow-up record corresponding to the first follow-up node; increasing a second score for a second one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the second follow-up node is different from the number of the follow-up users in the follow-up record corresponding to the second follow-up node.
Optionally, the processor 100 counts the score of the at least one follow-up node, in particular, obtains the follow-up plan of each of the at least one follow-up node; increasing a first score for a first one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the first follow-up node is the same as the number of the follow-up users in the follow-up record corresponding to the first follow-up node; increasing a third score for a third one of the respective follow-up nodes; the third score is lower than the first score; the difference between the number of the follow-up users in the follow-up plan corresponding to the third follow-up node and the number of the follow-up users in the follow-up record corresponding to the third follow-up node is larger than a first preset value and smaller than a second preset value; the second preset value is larger than the first preset value; increasing a fourth score for a fourth one of the respective follow-up nodes; the difference value between the number of the follow-up users in the follow-up plan corresponding to the fourth follow-up node and the number of the follow-up users in the follow-up record corresponding to the fourth follow-up node is larger than or equal to a second preset value; the fourth score is lower than the third score.
Optionally, the processor 100 determines a follow-up quality assessment result of the target medical care team according to the follow-up record corresponding to the target follow-up node, specifically, obtains a follow-up plan of the target follow-up node; when the difference value between the number of the follow-up users of the follow-up plan of the target follow-up node and the number of the follow-up users in the follow-up record is larger than a third preset value, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment is failed; or when the identification of the follow-up user of the follow-up plan of the target follow-up node does not comprise the identification of the follow-up user in the follow-up record, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment is not passed; or when the follow-up times of the follow-up plan of the target follow-up node are different from the follow-up times in the follow-up record, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment is not passed; or when the follow-up service of the follow-up plan of the target follow-up node is different from the follow-up service in the follow-up record, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment fails.
In a specific implementation, the processor 100, the input device 200, and the output device 300 described in the embodiments of the present invention may perform the implementation described in the embodiments of fig. 1 and fig. 2, and may also perform the implementation described in the embodiments of the present invention, which are not described herein again.
The functional modules in the embodiments of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in the form of sampling hardware or in the form of sampling software functional modules.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like.
The above disclosure is only a preferred embodiment of the present invention, and it should be understood that the scope of the invention is not limited thereto, and those skilled in the art will appreciate that all or part of the procedures described above can be performed according to the equivalent changes of the claims, and still fall within the scope of the present invention.

Claims (9)

1. The follow-up examination method based on data analysis is characterized by comprising the following steps of:
acquiring a target follow-up table of a target medical team, wherein the target follow-up table comprises at least one follow-up node recorded in a preset time range and a follow-up record corresponding to each follow-up node in the at least one follow-up node; the follow-up node comprises a follow-up time node and/or a follow-up user node;
determining a target follow-up node from the at least one follow-up node; the target follow-up nodes comprise follow-up nodes belonging to the category with the largest occurrence number in the at least one follow-up node, and the category with the largest occurrence number is the category with the largest occurrence number in the categories to which the follow-up nodes which are not visited by the history of the target medical team belong;
determining a follow-up quality assessment result of the target medical team according to the follow-up record corresponding to the target follow-up node;
generating assessment evaluation information comprising the follow-up quality assessment result, and sending the assessment evaluation information to a terminal corresponding to the target user team;
when the follow-up quality assessment result of the target medical team is that the follow-up quality assessment fails, a follow-up confirmation message is sent to the electronic equipment corresponding to the target user corresponding to the target follow-up node; the follow-up confirmation message is used for indicating the target user to confirm whether the target medical team has been followed up according to the target follow-up node;
Receiving confirmation result information returned by the electronic equipment according to the follow-up visit confirmation message;
when the confirmation result information indicates that the target medical team does not follow-up according to the target follow-up node, acquiring first schedule information of a follow-up user corresponding to the target follow-up node, and acquiring second schedule information of the target medical team;
and determining the next follow-up time of the target medical team to the follow-up user corresponding to the target follow-up node according to the first schedule information and the second schedule information.
2. The method of claim 1, wherein the determining the target follow-up node from the at least one follow-up node comprises:
acquiring a history non-follow-up node record table of a target medical team; the history non-follow-up node record table comprises history non-follow-up nodes of the target medical team;
determining the category of each non-follow-up node in the history non-follow-up nodes of the target medical team;
determining the category with the largest occurrence number in the categories to which the non-follow-up access nodes belong, and determining the follow-up node belonging to the category with the largest occurrence number in the at least one follow-up access node;
And taking the follow-up node belonging to the category with the largest occurrence number in the at least one follow-up node as a target follow-up node.
3. The method of claim 1, wherein the determining the target follow-up node from the at least one follow-up node comprises:
counting the score of the at least one follow-up node;
and determining a follow-up node with the score smaller than a preset score from the at least one follow-up node, and taking the follow-up node with the score smaller than the preset score as a target follow-up node.
4. A method according to claim 3, wherein said counting the score of the at least one follow-up node comprises:
acquiring a follow-up plan of each follow-up node in the at least one follow-up node;
judging whether the number of the follow-up users in the follow-up plans of all the follow-up nodes is the same as the number of the follow-up users in the follow-up records corresponding to all the follow-up nodes;
increasing a first score for a first one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the first follow-up node is the same as the number of the follow-up users in the follow-up record corresponding to the first follow-up node;
Increasing a second score for a second one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the second follow-up node is different from the number of the follow-up users in the follow-up record corresponding to the second follow-up node.
5. A method according to claim 3, wherein said counting the score of the at least one follow-up node comprises:
acquiring a follow-up plan of each follow-up node in the at least one follow-up node;
increasing a first score for a first one of the respective follow-up nodes; the number of the follow-up users in the follow-up plan corresponding to the first follow-up node is the same as the number of the follow-up users in the follow-up record corresponding to the first follow-up node;
increasing a third score for a third one of the respective follow-up nodes; the third score is lower than the first score; the difference between the number of the follow-up users in the follow-up plan corresponding to the third follow-up node and the number of the follow-up users in the follow-up record corresponding to the third follow-up node is larger than a first preset value and smaller than a second preset value; the second preset value is larger than the first preset value;
increasing a fourth score for a fourth one of the respective follow-up nodes; the difference value between the number of the follow-up users in the follow-up plan corresponding to the fourth follow-up node and the number of the follow-up users in the follow-up record corresponding to the fourth follow-up node is larger than or equal to a second preset value; the fourth score is lower than the third score.
6. The method according to claim 1, wherein the determining the follow-up quality assessment result of the target healthcare team according to the follow-up record corresponding to the target follow-up node includes:
acquiring a follow-up plan of the target follow-up node;
when the difference value between the number of the follow-up users of the follow-up plan of the target follow-up node and the number of the follow-up users in the follow-up record is larger than a third preset value, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment is failed; or alternatively, the first and second heat exchangers may be,
when the identification of the follow-up user of the follow-up plan of the target follow-up node does not comprise the identification of the follow-up user in the follow-up record, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment is failed; or alternatively, the first and second heat exchangers may be,
when the follow-up times of the follow-up plan of the target follow-up node are different from the follow-up times in the follow-up record, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment is failed; or alternatively, the first and second heat exchangers may be,
and when the follow-up service of the follow-up plan of the target follow-up node is different from the follow-up service in the follow-up record, determining that the follow-up quality assessment result of the target medical care team is that the follow-up quality assessment fails.
7. A follow-up assessment device based on data analysis, comprising means for performing the method of any of claims 1-6.
8. A server comprising a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, wherein the memory is adapted to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 1-6.
9. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1-6.
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