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CN111008326A - Clinical study subject retrieval method, device and computer readable medium - Google Patents

Clinical study subject retrieval method, device and computer readable medium Download PDF

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Publication number
CN111008326A
CN111008326A CN201910795904.0A CN201910795904A CN111008326A CN 111008326 A CN111008326 A CN 111008326A CN 201910795904 A CN201910795904 A CN 201910795904A CN 111008326 A CN111008326 A CN 111008326A
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sub
entry
filter
inclusion
exclusion
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廉任
胡杰文
邬疆霖
肖亮
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Shanghai Yikai Intelligent Technology Co ltd
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Mobilemd System Jiaxing Co ltd
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

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  • Databases & Information Systems (AREA)
  • Public Health (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
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  • Theoretical Computer Science (AREA)
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  • Biomedical Technology (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
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Abstract

The invention relates to a clinical research subject retrieval method, a clinical research subject retrieval device and a computer readable medium. The method comprises the following steps: providing an entry standard page, wherein the entry standard page comprises at least one entry standard area, and each entry standard area comprises an entry main screening frame and an entry sub screening prompt; receiving a first input to the opt-in main filter box; in response to selection of the inclusion sub-screening prompt, adding at least one inclusion sub-screening entry in the inclusion standard page, wherein each inclusion sub-screening entry comprises a plurality of associated inclusion sub-screening boxes; and receiving a second input to the plurality of enrollment sub-filter boxes.

Description

Clinical study subject retrieval method, device and computer readable medium
Technical Field
The present invention relates generally to the field of big data analysis and processing, and in particular to a retrieval method, apparatus and computer readable medium for clinical study subjects.
Background
Clinical trials are an important means of modern evidence-based medical research, and play an important role in a wide range of medical fields and drug research. When the research on the drugs enters a clinical test stage, a certain number of subjects meeting certain condition requirements need to be recruited, and the subjects are screened and grouped according to strict screening conditions, so as to achieve the purpose of clinical test. Most of the current clinical trial studies are performed in hospitals, where patients are enrolled from the hospital to seek medical attention. However, since the hospital has a huge amount of hospital information system data and new patient information is entered every day, the number is huge and the information is changed in real time. The clinical test aiming at the specific purpose requires that the testee meet the specific conditions, and the query and screening functions of the existing hospital information system are utilized, so that the speed is low, and the suitable testee cannot be screened out quickly.
Disclosure of Invention
The invention aims to provide a clinical research subject retrieval method and means capable of flexibly and quickly screening out a subject.
The technical scheme adopted by the invention for solving the technical problems is a clinical research subject retrieval method, which comprises the following steps: providing an entry standard page, wherein the entry standard page comprises at least one entry standard area, and each entry standard area comprises an entry main screening frame and an entry sub screening prompt; receiving a first input to the opt-in main filter box; in response to selection of the inclusion sub-screening prompt, adding at least one inclusion sub-screening entry in the inclusion standard page, wherein each inclusion sub-screening entry comprises a plurality of associated inclusion sub-screening boxes; and receiving a second input to the plurality of enrollment sub-filter boxes.
In an embodiment of the present invention, when a plurality of candidate sub-screening entries are added to the candidate standard page, the method further includes: an editable logical relationship is presented between the plurality of enrolled child filter entries.
In an embodiment of the present invention, the method further includes: providing a plurality of first guide items in response to a selection operation of the enrollment main filter box, the plurality of first guide items being selected from the following combinations: patient data, patient symptoms, disease diagnosis, current medical history, past medical history, medication information, general indications, examination checks and radiotherapy.
In an embodiment of the present invention, the plurality of candidate sub-filter boxes include a status sub-filter box, a status summary sub-filter box, a start time sub-filter box, and a start time summary sub-filter box.
In an embodiment of the present invention, the method further includes: in response to a selection operation of the status sub-filter box, providing a plurality of second guide items according to a reusable pre-made script, the plurality of second guide items being associated with the first input.
In an embodiment of the present invention, the method further includes: in response to a selection operation of the status summary sub-filter box, providing a plurality of third guide items according to the reusable pre-made script, the plurality of third guide items being associated with the second input of the status sub-filter box.
In an embodiment of the present invention, the method further includes: providing an exclusion standard page, wherein the exclusion standard page comprises at least one exclusion standard area, and each exclusion standard area comprises an exclusion main screening frame and an exclusion sub screening prompt; receiving a third input to the exclude primary filter box; in response to selection of the exclusion sub-filter hint, adding at least one exclusion sub-filter entry to the exclusion criteria page, the exclusion sub-filter entry comprising an associated plurality of exclusion sub-filter boxes; receiving a fourth input to the plurality of exclusion sub-filter boxes.
In an embodiment of the present invention, the method further includes: providing a message alert page, the message alert page including at least one alert entry.
In an embodiment of the present invention, the method further comprises generating a search command based on the received input, and searching the subject library for a matching clinical study subject.
The invention also provides a clinical research subject retrieval device, which comprises a memory and a processor. The memory is used to store instructions that are executable by the processor. A processor for executing the instructions to implement the method as described above.
The invention also proposes a computer-readable medium having stored a computer program code which, when executed by a processor, implements the method as described above.
According to the technical scheme, the inclusion standard page and the exclusion standard page are provided, so that a user can flexibly and visually set the inclusion condition and the exclusion condition of the subject according to the requirement, and the screening speed and accuracy are improved; the clinical research subject retrieval device is used for carrying out 24-hour uninterrupted screening, so that the manual workload is greatly reduced; through the setting of the message reminding page, the user is informed of the screening result in time, and the working efficiency is improved.
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In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below, wherein:
FIG. 1 is an exemplary flow chart of a clinical study subject retrieval method according to an embodiment of the present invention;
FIG. 2A is a schematic illustration of an inclusion criteria page in a clinical study subject retrieval method according to an embodiment of the invention;
FIG. 2B is a diagram illustrating a process for selecting a first input in an enrollment main filter box according to an embodiment of the invention;
FIG. 3A is a schematic diagram of a process for adding an enrollee filter entry in accordance with one embodiment of the invention;
FIG. 3B is a diagram illustrating a process for selecting a second input in the status sub-filter box according to an embodiment of the present invention;
FIG. 4 is a schematic illustration of a multiple inclusion criteria page in a clinical study subject retrieval method according to an embodiment of the invention;
FIG. 5 is a schematic diagram of a process for compiling logical relationships between a plurality of candidate screening entries in a clinical study subject retrieval method according to an embodiment of the present invention;
FIG. 6 is a schematic flow chart diagram of a portion of a clinical study subject retrieval method in accordance with an embodiment of the present invention;
FIG. 7 is a schematic illustration of an exclusion criteria page in a clinical study subject retrieval method according to an embodiment of the invention;
FIG. 8 is a schematic diagram of a message reminder page in a clinical study subject retrieval method according to an embodiment of the invention;
FIG. 9 is a diagram of a hardware implementation environment of an embodiment of the invention;
fig. 10 is a block diagram of a clinical study subject retrieval device according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described herein, and thus the present invention is not limited to the specific embodiments disclosed below.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Embodiments of the present invention describe a clinical study subject retrieval apparatus and retrieval method. A clinical study subject retrieval device includes a memory and a processor. Wherein the memory is to store instructions executable by the processor; the processor is used for executing the retrieval method.
FIG. 1 is an exemplary flow chart of a clinical study subject retrieval method according to an embodiment of the present invention. Referring to fig. 1, the retrieval method of the present embodiment includes the following steps:
at step 110, an opt-in criteria page is provided.
In this step, the inclusion criteria page may be provided by the clinical study subject retrieval device. The entry standard page comprises at least one entry standard area, and each entry standard area comprises an entry main screening frame and an entry sub screening prompt.
Fig. 2A is a schematic diagram of an inclusion criteria page in a clinical study subject retrieval method according to an embodiment of the invention. Referring to fig. 2A, an inclusion criteria page 210 provided in the retrieval method of the present embodiment is indicated by a dashed box, and includes an inclusion criteria area 220. The inclusion criteria field 220 includes an inclusion main filter box 221 and an inclusion sub-filter prompt 222. Wherein the user may select or set the primary screening conditions for the subject of the clinical study within the enrollment primary screening box 221.
In some embodiments, in response to a selection operation of the enrollment primary screen box 221, the method may provide a plurality of first guidance items that are primary screening criteria for retrieving clinical study subjects. The plurality of first guidance items may include, but are not limited to, the following options: patient data, patient symptoms, disease diagnosis, current disease history, past history, medication information, general indications, examination checks, radiotherapy, and the like.
The opt-in sub-filter prompt 222 may be a button located below the opt-in main filter box 221. in the embodiment shown in FIG. 2A, the opt-in sub-filter prompt 222 is displayed as "⊕ new children". A user may add and select sub-filter criteria by clicking on the opt-in sub-filter prompt 222.
The inclusion criteria page 210 in the embodiment of the present invention includes at least one inclusion criteria region 220. that is, the inclusion criteria page 210 may include more than one inclusion criteria region 220. in the embodiment shown in fig. 2A, an add inclusion criteria prompt 230 is provided below the inclusion criteria region 220. the add inclusion criteria prompt 230 is displayed as "⊕ add new inclusion criteria".
Fig. 2A is not intended to be limiting as to the shape, number, size, color, display content and page layout of inclusion criteria page 210, inclusion main filter box 221, inclusion sub-filter prompt 222 and add-on inclusion criteria prompt 230. The design can be made in different forms by those skilled in the art.
FIG. 2B is a diagram illustrating a process for selecting a first input in an enrollment main filter box according to an embodiment of the invention. Referring to FIG. 2B, the opt-in main filter box 221 is presented in the form of a drop-down menu. When the user clicks the downward arrow at the rightmost side of the opt-in main filter box 221, the opt-in main filter box 221 presents a pull-down menu in which a plurality of first guide items are listed. The user may select a first lead item as a first input to opt-in to the primary filter box 221 as desired for the clinical study. The user may also not use the first guide item, but may enter the content in the opt-in main filter box 221 as the first input.
When the inclusion criteria page 210 includes more than one inclusion criteria region 220, the user may combine multiple first inputs selected for subject screening through the inclusion main screening box 221 in each inclusion criteria region 220. At this time, the first input in the search method of the present invention is a combination of a plurality of first guide items selected by the user in the inclusion main screening box 221 in the plurality of inclusion criteria areas 220, and the first input includes a plurality of main screening conditions for the subject of clinical study.
In some embodiments, the first guide provided in different inclusion criteria areas 220 is different. For example, the first guide item provided by the inclusion main filter box 221 in the first inclusion criteria field 220 includes all of the above options: patient data, patient symptoms, disease diagnosis, current disease history, past history, medication information, general indications, examination and verification, radiotherapy and the like. When the user selects a first guide item, such as "patient profile," in the enrollment main filter box 221, the second enrollment criteria field 220 provides the first guide item with the option of "patient profile" removed and only the remaining options provided.
In other embodiments, the first guide provided in different inclusion criteria areas 220 is the same. For example, the first guide item provided by the enrollment main filter box 221 in each enrollment criteria field 220 includes all of the options described above: patient data, patient symptoms, disease diagnosis, current disease history, past history, medication information, general indications, examination and verification, radiotherapy and the like.
At step 120, a first input to opt-in to the main filter box is received.
In this step, a first input selected by the user in enrollment primary filter box 221 may be received by the clinical study subject retrieval device.
At step 130, at least one inclusion sub-filter entry is added to the inclusion criteria page in response to selection of the inclusion sub-filter hint. Wherein each enpicker subscreen entry includes an associated plurality of enpicker subscreen boxes.
FIG. 3A is a diagram illustrating a process for adding an enrollee filter entry in an embodiment of the invention. Referring to fig. 3A, after the user selects an inclusion sub-screening cue 222 in the inclusion criteria page 210 shown in fig. 2A, at least one inclusion sub-screening entry 240 may be added to the inclusion criteria page 210 by the clinical study subject retrieval device in response to selection of the inclusion sub-screening cue 222. In the embodiment shown in fig. 3A, two entry sub-filter entries are shown, a first entry sub-filter entry 241 and a second entry sub-filter entry 242. The two inclusion sub-filter entries are arranged in parallel rows on the inclusion criteria page 210. The two enrollment sub-filter entries 240 may be generated in response to two selections of the enrollment sub-filter hint 222.
Each enjoin sub-filter entry 240 includes an associated plurality of enjoin sub-filter boxes 250. The user may specifically set the sub-screening conditions for the clinical study subject through the multiple enrollment sub-screening boxes 250.
In some embodiments, the plurality of opt-in sub-filter boxes 250 may include a status sub-filter box, a status summary sub-filter box, a start time summary sub-filter box, and the like.
In the embodiment shown in fig. 3A, five entry sub-filter boxes 250 are included in each of the first entry sub-filter entry 241 and the second entry sub-filter entry 242. The five in-selection sub-filter boxes 250 are a status sub-filter box 251, a setting sub-filter box 252, a status summary sub-filter box 253, a start time sub-filter box 254, and a start time summary sub-filter box 255, respectively. In addition, a delete button 260 is included in the first and second entry sub-filter entries 241 and 242, and the user can use the delete button 260 to remove the unwanted entry sub-filter entries 240.
In the embodiment shown in FIG. 3A, the inclusion of the inclusion sub-filter boxes 250 in both the first inclusion sub-filter entry 241 and the second inclusion sub-filter entry 242 is the same. In other embodiments, the number and content of the associated multiple ensort sub-filter boxes 250 included in different ensort sub-filter entries 240 may be different.
Fig. 3A is not intended to limit the shape, number, size, color, display content, and page layout of the inclusion sub-filter entries 240 and the inclusion sub-filter boxes 250. The design can be made in different forms by those skilled in the art.
FIG. 3B is a diagram illustrating a process for selecting a second input in the status sub-filter box according to an embodiment of the invention. Referring to fig. 3B, the status sub-filter box 251 is presented in the form of a pull-down menu. When the user clicks the rightmost downward arrow of the status sub-filter box 251, the status sub-filter box 251 presents a pull-down menu in which a plurality of second guidance items are listed. The user may select a second lead item as a second input to the status sub-screen box 251 as desired for the clinical study. The user may also enter content in the status sub-filter box 251 by himself without using the second guide item.
Some example second guidance items include, but are not limited to, the following options: patient age, patient gender, patient height, patient weight, time of admission, time of recording, etc. These options can be used as sub-screening criteria for clinical study subject search.
In some embodiments, the plurality of second guidance items are associated with the first input. For example, in the embodiment shown in FIG. 3B, the first input to enter the primary screening box 221 is "patient profile". At this time, the second leading item in the status sub-screen box 251 includes: smoking, patient age, patient gender, patient height, patient weight, time of admission, time of recording, etc. These second guidance items are all associated with the first input and all fall within the scope of "patient profile". In one example, each set of second guide items may be made as a reusable pre-scripted script and retrievable as a condition by the associated first input. Such as smoking, patient age, patient sex, patient height, patient weight, time of admission, recording time, are scripted into a reusable pre-made script, which can be quickly retrieved when patient data is entered and presented to the status sub-screen box 251 for selection by the user. There may also be a respective associated set of second guidance items for other options in the main screen box 221, such as patient symptoms, disease diagnosis, etc.
In some embodiments, the clinical study subject retrieval means, in response to the selection operation of the status summary sub-screen box 253, may further provide a plurality of third guide items associated with the second input of the status sub-screen box 251. Referring to fig. 3A, for example, if the second input of the status sub-screen box 251 in the first input sub-screen entry 241 is "symptom name", the plurality of third guidance items provided by the status abstract sub-screen box 253 in the first input sub-screen entry 241 may include all symptoms related to diseases, such as fever, cough, arthralgia, proteinuria, and the like. The user need only select the appropriate input from these guide items. The user may also enter the content in the status summary sub-filter box 253 by himself without using the third guide item. In one example, each set of third guide items may be made as a reusable pre-scripted script and retrievable as a condition by the associated second input. Such as fever, cough, joint pain, proteinuria, are scripted into reusable, third guidance items that can be quickly retrieved when the symptom name is entered and presented to the status abstract sub-screen box 253 for selection by the user. There may also be a respective associated set of third guidance items for other options in the status sub-filter box 251, such as patient age, patient gender, etc., as shown in fig. 4.
For example, referring to fig. 3A, in this embodiment, the sub-filtering conditions set according to the five in-selected sub-filtering boxes 250 in the first in-selected sub-filtering entry 241 are:
the subject has a symptom name of arthralgia, and the duration of the symptom is one week or more.
The sub-screening conditions set by the five entry sub-screening boxes 250 in the second entry sub-screening entry 242 are:
the subject had the name proteinuria and the duration of symptoms was 2 days or longer.
In some embodiments, in step 130, when adding the plurality of candidate screening entries 240 to the inclusion criteria page 210, the method further includes: an editable logical relationship is presented between the plurality of enrolled sub-filter entries 240.
Referring to FIG. 3A, an editable logical relationship button 260 is also included on the opt-in criteria page 210. In this embodiment, an editable logical relationship button 260 is located between the first and second inbound sub-filter entries 241, 242. The editable logical relationship button 260 may be used to edit a logical relationship between the first and second inbound child filter entries 241, 242, which may be, for example, and, or, not, etc. As shown in fig. 3A, the display content of the editable logical relationship button 260 is "and", which indicates that the first and second candidate filter entries 241 and 242 are in an and relationship, that is, the sub-filter conditions set in the first and second candidate filter entries 241 and 242 need to be satisfied at the same time.
In the embodiment shown in fig. 3A, the subject screening condition collectively set by the first input and the second input is:
the symptoms of the subject are arthralgia and proteinuria, and the duration of the arthralgia is more than or equal to one week, and the duration of the proteinuria is more than or equal to 2 days.
FIG. 3A is not intended to limit the position, content, size, etc. of the editable logical relationship button 260. The design can be made in different forms by those skilled in the art. For example, the display content of the editable logical relationship button 260 may be English or a symbol.
At step 140, a second input is received for the plurality of enrollment sub-filter boxes.
In this step, a second input selected by the user in the multiple enrollment sub-filter box 250 may be received by the clinical study subject retrieval device.
FIG. 4 is a schematic diagram of a multiple inclusion criteria page in a clinical study subject retrieval method, in accordance with an embodiment of the present invention. Referring to fig. 4, two inclusion criteria areas 220, a first inclusion criteria area 220A and a second inclusion criteria area 220B, are included in the inclusion criteria page 210. In this embodiment, the screening criteria for the clinical study subject are collectively generated from the user's first and second inputs in the two inclusion criteria fields 220 as follows:
in terms of patient symptoms, the symptoms of the subject need to include fever and runny nose, with the duration of fever being equal to or greater than one week and the duration of runny nose being equal to or greater than 2 days.
In terms of patient profile, the subject needs to be female and the age equals 34 years.
Therefore, the subjects can be finely screened according to different candidate standard areas, so that the required subjects can be rapidly screened for clinical research.
Fig. 5 is a schematic diagram of a process of compiling logical relationships between a plurality of candidate screening entries in a clinical study subject retrieval method according to an embodiment of the present invention. Referring to fig. 5, in this embodiment, the inclusion criteria page 210 is the same as the embodiment shown in fig. 4, including two inclusion criteria fields 220, a first inclusion criteria field 220A and a second inclusion criteria field 220B. Each inclusion criteria field 220 includes two inclusion sub-filter entries 240. The user may set the logical relationship between the two enrolled sub-filter entries 240 by clicking on the editable logical relationship button 260. As shown in fig. 5, the user sets the logical relationship between two candidate filter entries 240 in the first candidate criteria area 220A to be an or relationship by clicking on an editable logical relationship button 260A located between the two candidate filter entries 240. In this embodiment, the clinical study subject retrieval device sets the display of editable logical relationship button 260A to "or", and the options provided to the user via editable logical relationship button 260A include "or" and "two.
It will be appreciated that this embodiment is not intended to limit the number and content of the particular options of the editable logical relationship button 260A. In other embodiments, one skilled in the art can design the editable logical relationship button 260A as needed to meet the needs of the subject search.
FIG. 6 is a partial flow chart of a clinical study subject retrieval method according to an embodiment of the present invention. The clinical study subject retrieval method shown in fig. 1 may further include the flow steps shown in fig. 6. The embodiment of the present invention does not limit the precedence relationship between the process steps shown in fig. 6 and the process steps shown in fig. 1. Referring to fig. 6, the process steps of this part include:
at step 610, an exclusion criteria page is provided.
In this step, an exclusion criteria page may be provided by the clinical study subject retrieval device. The exclusion criteria page includes at least one exclusion criteria region, each exclusion criteria region including an exclusion main filter box and an exclusion sub-filter hint.
FIG. 7 is a schematic diagram of an exclusion criteria page in a clinical study subject retrieval method according to an embodiment of the invention. Referring to fig. 2A and 7, a page selection area 270 is provided in the clinical study subject search method of the present invention. A plurality of page selection options are included in the page selection area 270. In the embodiment shown in FIG. 2A, the plurality of page selection options include an inclusion criteria page option 271, an exclusion criteria page option 272, and a message alert page option 273. The clinical study subject retrieval device of the present invention may present a corresponding page in response to user selection of a page selection option. As shown in fig. 2A, when the user selects the inclusion criteria page option 271, the clinical study subject retrieval device provides the user with an inclusion criteria page 210; as shown in fig. 7, when the user selects the exclusion criteria page option 272, the clinical study subject retrieval device then presents the user with an exclusion criteria page 710.
Referring to fig. 7, the exclusion criteria page 710 includes at least one exclusion criteria region 720, each of which includes an exclusion main filter box 721 and an exclusion sub-filter prompt 722. Similar to the embodiment shown in fig. 2A, the user may select a main elimination condition that requires elimination of the subject in the elimination main filtering box 721. In some embodiments, a plurality of first guide items, i.e., the first guide items for inclusion in master filter box 221, may be provided in exclusion master filter box 721. The user's selection in the exclude main filter box 721 is taken as a third input.
At step 620, a third input is received to exclude the primary filter box.
In this step, a third input selected by the user in the exclude main screen box 721 may be received by the clinical study subject retrieval means.
In the embodiment shown in fig. 7, this third input is "patient status".
At step 630, in response to the selection of the exclusion sub-filter hint, at least one exclusion sub-filter entry is added to the exclusion criteria page. The exclusion sub-filter entry includes an associated plurality of exclusion sub-filter boxes.
In this step, exclusionary filter prompt 722, exclusionary filter entry 740, and exclusionary filter box 750 are more similar to inclusion filter prompt 222, inclusion filter entry 240, and inclusion filter box 250 in step 130 of FIG. 1. In contrast, the steps shown in fig. 6 are for setting the screening conditions for the subjects to be excluded in the clinical study, and the steps shown in fig. 1 are for setting the screening conditions for the subjects to be selected.
It will be appreciated that the description relating to the steps shown in figure 1 applies equally to the steps shown in figure 6. For example, similar to the opt-in sub-filter 250, the plurality of exclusion sub-filters 750 may also include a status sub-filter, a status summary sub-filter, a start time summary sub-filter, and the like; the logical relationship between the plurality of excluded sub-filter entries 740 may be edited via an editable logical relationship button. A second leading entry may be provided in the status sub-filter box in the exclusion sub-filter entry 740 and a third leading entry may be provided in the status summary sub-filter box in the exclusion sub-filter entry 740. The user's selection among the plurality of exclusion sub-filter entries 740 is taken as a fourth input.
Step 640, receiving a fourth input to the plurality of exclusion sub-filter boxes.
In this step, a fourth input selected by the user in the plurality of exclusion sub-filter boxes 750 may be received by the clinical study subject retrieval device.
In the embodiment shown in fig. 7, the subject-excluding screening condition collectively set by the third input and the fourth input is:
the smoking time of the subject is not allowed to be more than or equal to 3 months. That is, patients who smoke for 3 months or longer are subjects to be excluded.
In some embodiments, for the steps of the retrieval method shown in fig. 1 and 7, after the user completes the first input to the inclusion main filtering box 221 and the second input to the inclusion sub-filtering box 250, and/or completes the third input to the exclusion main filtering box 721 and the fourth input to the exclusion sub-filtering box 750, the clinical study subject retrieval device may generate a retrieval command according to the inputs of the user, and retrieve the matched clinical study subject in the subject bank according to the retrieval command. For example, combining the first input and the second input as the inclusion condition in fig. 4, and the third input and the fourth input as the exclusion condition in fig. 7, the subject to be screened should finally satisfy the following conditions:
in terms of patient symptoms, the symptoms of the subject need to include fever and runny nose, with the duration of fever being equal to or greater than one week and the duration of runny nose being equal to or greater than 2 days.
In terms of patient profile, the subject needs to be female and the age equals 34 years.
And, the patient has a smoking time of less than 3 months.
In the method, the interface provided for the user is highly visual, and the user operation is very convenient. For example, users often need to complete operations with only simple selections. Some complex content that needs to be filled in is automatically filled in through a guide item associated with the selection or jumped out for selection by the user. The guide items are stored through the reusable prefabricated scripts and are called out when needed, and the operation is very convenient. In addition, the logical relationship between the various entries may also be accomplished by a simple selection. Therefore, the embodiment of the invention can complete the condition retrieval of complex logic through simple operation.
Fig. 8 is a schematic diagram of a message reminder page in a clinical study subject retrieval method according to an embodiment of the invention. Referring to fig. 8, the retrieving method of the present embodiment further includes providing a message reminder page 810. As shown in connection with fig. 2A, 7, and 8, a message reminder page option 273 is included in page selection area 270. When the user selects the message reminder page option 273, the clinical study subject retrieval device then provides the user with a message reminder page 810.
As shown with reference to fig. 8, the message reminder page 810 includes at least one reminder entry 821. The reminder entry 821 may include, but is not limited to, a reminder, a mailbox, a phone call, etc. The user may actively enter corresponding content in each of the reminder entries 821.
When the clinical research subject retrieval device of the present invention automatically matches the input of the user on the inclusion criteria page 210 and the exclusion criteria page 710, and selects a subject satisfying the set conditions, a reminder message is automatically sent to a reminder according to the reminder item 821 of the message reminder page 810. The sent reminding message can be a mail, a short message and the like.
In some embodiments, the message reminder page 810 also includes a new reminder prompt 822. The user may add multiple reminders and their contact by selecting the new reminder tab 822.
According to the message reminding page 810, reminding messages can be automatically sent to the user, so that the user can obtain screening results in time, other works can be processed in parallel during waiting for the screening results, and the work efficiency is improved.
FIG. 9 is a diagram of a hardware implementation environment of an embodiment of the invention. Referring to fig. 9, a system may include a client 910 and a clinical study subject retrieval device 920 connected by a network 930. The network 930 may be any known wired or wireless network and is not expanded here. The clinical study subject retrieval device 920 and the client 910 cooperate to implement the methods described in the previous embodiments or variations thereof. The client 910 may be equipped with a user interface, communication ports, and input components. The user interface may present various interfaces to the user and the input component may receive input from the user. By way of example, the input components may include one or more of the following components: a mouse, a trackball, a keyboard, a touch-sensitive component, a sound receiver, etc.
Fig. 10 is a block diagram of a clinical study subject retrieval device according to an embodiment of the present invention. The clinical study subject retrieval device may include an internal communication bus 1001, a processor (processor)1002, a Read Only Memory (ROM)1003, a Random Access Memory (RAM)1004, a communication port 1005, and a hard disk 1007. The internal communication bus 1001 may enable data communication between components of a clinical study subject retrieval device. The processor 1002 may make the determination and issue the prompt. In some embodiments, the processor 1002 may be comprised of one or more processors. The communication port 1005 may enable data communication between the clinical study subject retrieval device and an external, e.g., client 910. In some embodiments, the retrieval device 920 may send and receive information and data from the network through the communication port 1005. The retrieval means 920 may also comprise different forms of program storage units as well as data storage units, such as a hard disk 1007, a Read Only Memory (ROM)1003 and a Random Access Memory (RAM)1004, capable of storing various data files for computer processing and/or communication use, as well as possible program instructions for execution by the processor 1002. The processor executes these instructions to implement the main parts of the method. The results of the processor processing are communicated to the client 910 through the communication port and displayed on the user interface of the client 910.
For example, the clinical study subject retrieval method described above may be implemented as a computer program stored on the hard disk 1007 and executable by the processor 1002 to implement the method of the present invention.
The clinical study subject retrieval method, when implemented as a computer program, may also be stored as an article of manufacture in a computer-readable storage medium. For example, computer-readable storage media can include but are not limited to magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips), optical disks (e.g., Compact Disk (CD), Digital Versatile Disk (DVD)), smart cards, and flash memory devices (e.g., electrically Erasable Programmable Read Only Memory (EPROM), card, stick, key drive). In addition, various storage media described herein can represent one or more devices and/or other machine-readable media for storing information. The term "machine-readable medium" can include, without being limited to, wireless channels and various other media (and/or storage media) capable of storing, containing, and/or carrying code and/or instructions and/or data.
It should be understood that the above-described embodiments are illustrative only. The embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), processors, controllers, micro-controllers, microprocessors, and/or other electronic units designed to perform the functions described herein, or a combination thereof.
Although the present invention has been described with reference to the present specific embodiments, it will be appreciated by those skilled in the art that the above embodiments are merely illustrative of the present invention, and various equivalent changes and substitutions may be made without departing from the spirit of the invention, and therefore, it is intended that all changes and modifications to the above embodiments within the spirit and scope of the present invention be covered by the appended claims.

Claims (11)

1. A clinical study subject retrieval method comprising the steps of:
providing an entry standard page, wherein the entry standard page comprises at least one entry standard area, and each entry standard area comprises an entry main screening frame and an entry sub screening prompt;
receiving a first input to the opt-in main filter box;
in response to selection of the inclusion sub-screening prompt, adding at least one inclusion sub-screening entry in the inclusion standard page, wherein each inclusion sub-screening entry comprises a plurality of associated inclusion sub-screening boxes; and
receiving a second input to the plurality of enrollment sub-filter boxes.
2. The method of claim 1, wherein when the inclusion criteria page adds a plurality of inclusion sub-filter entries, further comprising:
an editable logical relationship is presented between the plurality of enrolled child filter entries.
3. The method of claim 1, further comprising:
providing a plurality of first guide items in response to a selection operation of the enrollment main filter box, the plurality of first guide items being selected from the following combinations: patient data, patient symptoms, disease diagnosis, current medical history, past medical history, medication information, general indications, examination checks and radiotherapy.
4. The method of claim 1, wherein the plurality of inclusion sub-filter boxes include a status sub-filter box, a status summary sub-filter box, a start time sub-filter box, and a start time summary sub-filter box.
5. The method of claim 4, further comprising:
in response to a selection operation of the status sub-filter box, providing a plurality of second guide items according to a reusable pre-made script, the plurality of second guide items being associated with the first input.
6. The method of claim 5, further comprising:
in response to a selection operation of the status summary sub-filter box, providing a plurality of third guide items according to the reusable pre-made script, the plurality of third guide items being associated with the second input of the status sub-filter box.
7. The method of claim 1, further comprising:
providing an exclusion standard page, wherein the exclusion standard page comprises at least one exclusion standard area, and each exclusion standard area comprises an exclusion main screening frame and an exclusion sub screening prompt;
receiving a third input to the exclude primary filter box;
in response to selection of the exclusion sub-filter hint, adding at least one exclusion sub-filter entry to the exclusion criteria page, the exclusion sub-filter entry comprising an associated plurality of exclusion sub-filter boxes;
receiving a fourth input to the plurality of exclusion sub-filter boxes.
8. The method of claim 1 or 7, further comprising:
providing a message alert page, the message alert page including at least one alert entry.
9. The method of claim 1 or 7, further comprising generating a retrieval command based on the received input to retrieve a matching clinical study subject in the subject bank.
10. A clinical study subject retrieval device comprising:
a memory for storing instructions executable by the processor;
a processor for executing the instructions to implement the method of any one of claims 1-9.
11. A computer-readable medium having stored thereon computer program code which, when executed by a processor, implements the method of any of claims 1-9.
CN201910795904.0A 2019-08-27 2019-08-27 Clinical study subject retrieval method, device and computer readable medium Pending CN111008326A (en)

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