Parameterized template for clinical research study systems
Techniques are disclosed for digitizing a framework for clinical development. In one example, A computing device comprising a memory configured to store a regulatory database, and one or more processors may be configured to perform the techniques. The one or more processors may retrieve, from the regulatory database, a template based on a governance process, receive, via a user interface, input from a user, parameterize the template based on the governance process with the user input to create a parameterized template, and store the parameterized template in a database.
1 . A method comprising:
retrieving, by processing circuitry and from a regulatory database, a template representative of a governance process;
receiving, by the processing circuitry and via a user interface, input from a user;
parameterizing, by the processing circuitry, the template representative of the governance process with the user input to create a parameterized template, wherein at least one parameter in the parameterized template is a string associated with one or more properties specific to a clinical research study;
generating, by the processing circuitry and based on the parameterized template, at least one study objective and at least one study endpoint for the clinical research study;
processing the at least one of the parameters in the parameterized template to present the at least one of the parameters as a human readable phrase that takes into account grammatical rules in support of disclosure submissions mandated by one or more regulatory authorities;
generating, by the processing circuitry and based on the at least one study objective and the at least one study endpoint, a sequence of one or more study events specifying one or more study activities to be executed for the sequence of the one or more study events;
exporting, by the processing circuitry and to one or more of the regulatory database and a microservice, metadata for the clinical research study,
wherein exporting the metadata for the clinical research study comprises:
retrieving, by the processing circuitry and from the database, a graph data structure representative of the clinical research study;
generating, by the processing circuitry and from the graph data structure representative of the clinical research study, a tree data structure representative of the metadata for the clinical research study; and
storing, by the processing circuitry and in the regulatory database, the tree data structure representative of the metadata for the clinical research study; and
storing, by the processing circuitry, the parameterized template in a database.
2 . The method of claim 1 , wherein exporting the metadata for the clinical research study comprises exporting the metadata for the clinical research study according to a predefined file format through configurable transformations.
3 . The method of claim 1 , further comprising defining, by the processing circuitry and based on the parameterized template, a database for storing data specifying the details of the clinical research study.
4 . The method of claim 1 , wherein the regulatory database comprises a metadata repository (MDR) database.
5 . The method of claim 4 , wherein the MDR database comprises one or more of an International Organization for Standardization (ISO) 11179-based MDR database, wherein the ISO 11179-based MDR database is hierarchically arranged with respect to a global organizational group containing shared template definition elements, and one or more sponsor-specific-based organizational subgroups containing sponsor-specific template definition elements, with the hierarchy facilitating reuse of the content contained within the global organizational group without compromising access limitations with respect to the sponsor-specific-based subgroups.
6 . The method of claim 1 , wherein the database is configured to receive a GraphQL query or mutation.
7 . The method of claim 1 , further comprising:
defining a data model comprising the metadata that specifies a data standard representative of requirements for regulatory-compliant exchange of data between entities, wherein the data model includes one or more client business objects, each client business object specifying the one or more study events or associated study elements; and
expressing, by the processing circuitry, the data model to define the template for a clinical research study comprising the sequence of the one or more study events.
8 . The method of claim 7 , wherein parameterizing the template for the clinical research study comprises parameterizing the template to obtain a schedule of study activities to be executed for each study event of the sequence of the one or more study events.
9 . The method of claim 1 , further comprising:
defining a data model comprising metadata that specifies a data standard representative of requirements for regulatory-compliant exchange of data between entities, wherein the data model includes one or more client business objects, and the one or more properties for each of the client business objects that organize the client business objects into one or more property groups; and
expressing, by the processing circuitry, the data model to produce, based on one or more of the properties and property groups, forms for collection of protocol elements in support of generating the template.
10 . The method of claim 1 , further comprising:
defining a data model comprising the metadata that specifies a data standard representative of requirements for regulatory-compliant exchange of data between entities, wherein the data model includes one or more client business objects, and the one or more properties for each of the client business objects that organize the client business objects into one or more property groups; and
expressing, by the processing circuitry, one or more of the one or more properties and the property group for each of the client business objects to define:
one or more study objective templates; and
one or more study endpoint templates.
11 . The method of claim 1 , wherein each study activity of the one or more study activities is selected from a group comprising at least:
a clinical treatment or procedure to be performed on a subject;
a data element to be measured from the subject; or
non-treatment related data of the subject.
12 . The method of claim 1 , wherein each property of the one or more properties specifies a value for a property type for the property, the property type selected from a property group comprising the string and at least:
a dynamically generated list of users;
a date;
a time;
a uniform resource locator (URL);
a Boolean;
a member of an pre-defined list; or
an integer.
13 . The method of claim 1 , wherein at least one of the one or more properties include dynamically generated value sets.
14 . The method of claim 1 , wherein each of the one or more properties are strongly typed.
15 . The method of claim 1 , wherein each of the one or more properties specifies a dependent relationship to another property of the one or more properties.
16 . The method of claim 1 , wherein the one or more properties includes a compound property having two or more values.
17 . The method of claim 1 , further comprising:
presenting, by the processing circuitry, via the user interface, and to the user, the clinical research study.
18 . The method of claim 17 , wherein the clinical research study further comprises one or more study elements associated with the one or more study events.
19 . The method of claim 17 , wherein parameterizing the template representative of the governance process with the user input to create the parameterized template comprises:
displaying, by the processing circuitry, via the user interface, and to the user, one or more input types and one or more values for each of the one or more input types, and
receiving, via the user interface and from the user, a selection of a value of the one or more values for each of the one or more input types; and
parameterizing the template representative of the governance process with the selection of the value of the one or more values for each of the one or more input types to create the parameterized template.
20 . The method of claim 19 , wherein the one or more study design elements are immutable and assist in access control when binding users to the clinical research study.
21 . The method of claim 17 , wherein receiving the input from the user comprises receiving a user input specifying one or more secondary or exploratory study objectives or one or more secondary or exploratory study endpoints.
22 . The method of claim 17 , further comprising:
determining, by the processing circuitry, a cost estimate for the one or more study activities to be executed for each study event of the one or more study events;
determining, by the processing circuitry and based on the cost estimate for the one or more study activities to be executed for each study event of the one or more study events, a total cost estimate for the at least one study endpoint; and
displaying, by the processing circuitry and via the user interface, the cost estimate for the one or more study activities to be executed for each study event of the one or more study events and the total cost estimate for the at least one study endpoint.
23 . The method of claim 17 , further comprising:
determining, by the processing circuitry and based on the sequence of the one or more study events, a timeline for the clinical research study; and
displaying, by the processing circuitry and via the user interface, the timeline for the clinical research study.
24 . The method of claim 23 , wherein the timeline further comprises a schedule for each of the one or more study activities to be executed for each study event of the one or more study events.
25 . The method of claim 17 , wherein presenting, via the user interface, the clinical research study comprises presenting, via user interface embedded within a dashboard web application, the clinical research study.
26 . The method of claim 17 , further comprising:
generating, by the processing circuitry and based on the parameterized template, one or more reporting criteria for the clinical research study; and
displaying, by the processing circuitry and via the user interface, one or more reporting criteria for the clinical research study.
27 . The method of claim 1 ,
wherein receiving the input from the user includes receiving data indicative of an Effective Date parameter, and
wherein parameterizing the template comprises associating the Effective Date parameter to a correct version of the template representative of the governance process associated with the Effective Date parameter.
28 . The method of claim 9 , wherein each property group of the one or more property groups specifies at least one of:
an ordinality of the property group in a property group hierarchy; or
a microservice associated with the property group.
29 . A computing device comprising:
a memory configured to store a regulatory database; and
one or more processors configured to:
retrieve, from the regulatory database, a template representative of a governance process;
receive, via a user interface, input from a user;
parameterize the template representative of the governance process with the user input to create a parameterized template, wherein at least one parameter in the parameterized template is a string associated with one or more properties specific to a clinical research study;
generate, based on the parameterized template, at least one study objective and at least one study endpoint for the clinical research study;
process at least one of the parameters in the parameterized template to present the at least one of the parameters as a human readable phrase that takes into account grammatical rules in support of disclosure submissions mandated by one or more regulatory authorities;
generate, based on the at least one study objective and the at least one study endpoint, a sequence of one or more study events specifying one or more study activities to be executed for the sequence of the one or more study events;
exporting, to one or more of the regulatory database and a microservice, metadata for the clinical research study,
wherein to export the metadata for the clinical research study, the one or more processors are configured to:
retrieve, from the database, a graph data structure representative of the clinical research study;
generate, from the graph data structure representative of the clinical research study, a tree data structure representative of the metadata for the clinical research study; and
store, by the processing circuitry and in the regulatory database, the tree data structure representative of the metadata for the clinical research study; and
store the parameterized template in a database.
30 . The computing device of claim 29 , wherein the one or more processors are configured, when exporting the metadata for the clinical research study, to export the metadata for the clinical research study according to a predefined file format through configurable transformations.
31 . The computing device of claim 29 , the one or more processors are further configured to define, based on the parameterized template, a database for storing data specifying the details of the clinical research study.
32 . The computing device of claim 29 , wherein the regulatory database comprises a metadata repository (MDR) database.
33 . The computing device of claim 32 , wherein the MDR database comprises one or more of an International Organization for Standardization (ISO) 11179-based MDR database, wherein the ISO 11179-based MDR database is hierarchically arranged with respect to a global organizational group containing shared template definition elements, and one or more sponsor-specific-based organizational subgroups containing sponsor-specific template definition elements, with the hierarchy facilitating reuse of the content contained within the global organizational group without compromising access limitations with respect to the sponsor-specific-based subgroups.
34 . The computing device of claim 29 , wherein the database is configured to receive a GraphQL query or mutation.
35 . The computing device of claim 29 , the one or more processors are further configured to:
define a data model comprising the metadata that specifies a data standard representative of requirements for regulatory-compliant exchange of data between entities, wherein the data model includes one or more client business objects, each client business object specifying one or more study events or associated study elements and express the data model to define the template for a clinical research study comprising the sequence of the one or more study events.
36 . The computing device of claim 35 , wherein the one or more processors are configured, when parameterizing the template for the clinical research study, to parameterize the template to obtain a schedule of study activities to be executed for each study event of the sequence of the one or more study events.
37 . The computing device of claim 29 , the one or more processors are further configured to:
define a data model comprising metadata that specifies a data standard representative of requirements for regulatory-compliant exchange of data between entities, wherein the data model includes one or more client business objects, and one or more properties for each of the client business objects that organize the client business objects into one or more property groups; and
express the data model to produce, based on one or more of the properties and property groups, forms for collection of protocol elements in support of generating the template.
38 . The computing device of claim 29 , the one or more processors are further configured to:
define a data model comprising the metadata that specifies a data standard representative of requirements for regulatory-compliant exchange of data between entities, wherein the data model includes one or more client business objects, and one or more properties for each of the client business objects that organize the client business objects into one or more property groups; and
express one or more of the one or more properties and the property group for each of the client business objects to define:
one or more study objective templates; and
one or more study endpoint templates.
39 . The computing device of claim 29 , wherein each study activity of the one or more study activities is selected from a group comprising at least:
a clinical treatment or procedure to be performed on a subject;
a data element to be measured from the subject; or
non-treatment related data of the subject.
40 . The computing device of claim 29 , wherein each property of the one or more properties specifies a value for a property type for the property, the property type selected from a group comprising the string and at least:
a dynamically generated list of users;
a date;
a time;
a uniform resource locator (URL);
a Boolean;
a member of an pre-defined list; or an integer.
41 . The computing device of claim 29 , wherein at least one of the one or more properties include dynamically generated value sets.
42 . The computing device of claim 29 , wherein each of the one or more properties are strongly typed.
43 . The computing device of claim 29 , wherein each of the one or more properties specifies a dependent relationship to another property of the one or more properties.
44 . The computing device of claim 29 , wherein the one or more properties includes a compound property having two or more values.
45 . The computing device of claim 29 , the one or more processors are further configured to:
present, via the user interface, and to the user, the clinical research study.
46 . The computing device of claim 45 , wherein the clinical research study further comprises one or more study elements associated with the one or more study events.
47 . The computing device of claim 45 , wherein the one or more processors are configured, when parameterizing the template representative of the governance process with the user input to create the parameterized template, to:
display, via the user interface, and to the user, one or more input types and one or more values for each of the one or more input types, and
receive, via the user interface and from the user, a selection of a value of the one or more values for each of the one or more input types; and
parameterize the template representative of the governance process with the selection of the value of the one or more values for each of the one or more input types to create the parameterized template.
48 . The computing device of claim 47 , wherein the one or more study design elements are immutable and assist in access control when binding users to the clinical research study.
49 . The computing device of claim 45 , wherein the one or more processors are configured, when receiving the input from the user, to receive a user input specifying one or more secondary or exploratory study objectives or one or more secondary or exploratory study endpoints.
50 . The computing device of claim 45 , the one or more processors are further configured to:
determine a cost estimate for the one or more study activities to be executed for each study event of the one or more study events;
determine, based on the cost estimate for the one or more study activities to be executed for each study event of the one or more study events, a total cost estimate for the at least one study endpoint; and
display, via the user interface, the cost estimate for the one or more study activities to be executed for each study event of the one or more study events and the total cost estimate for the at least one study endpoint.
51 . The computing device of claim 45 , the one or more processors are further configured to:
determine, based on the sequence of the one or more study events, a timeline for the clinical research study; and
display, via the user interface, the timeline for the clinical research study.
52 . The computing device of claim 51 , wherein the timeline further comprises a schedule for each of the one or more study activities to be executed for each study event of the one or more study events.
53 . The computing device of claim 45 , wherein the one or more processors are configured, when presenting, via the user interface, the clinical research study, to present, via user interface embedded within a dashboard web application, the clinical research study.
54 . The computing device of claim 45 , wherein the one or more processors are further configured to:
generate, based on the parameterized template, one or more reporting criteria for the clinical research study; and
display, via the user interface, one or more reporting criteria for the clinical research study.
55 . The computing device of claim 29 ,
wherein the one or more processors are configured, when receiving the input from the user, to receive data indicative of an Effective Date parameter, and
wherein the one or more processors are configured, when parameterizing the template, to associate the Effective Date parameter to a correct version of the template representative of the governance process associated with the Effective Date parameter.
56 . The computing device of claim 29 , wherein each property group of the one or more property groups specifies at least one of:
an ordinality of the property group in a property group hierarchy; or
a microservice associated with the property group.
57 . A non-transitory computer-readable storage medium having instructions stored thereon that, when executed, cause one or more processors to:
retrieve, from a regulatory database, a template representative of a governance process;
receive, via a user interface, input from a user;
parameterize the template representative of the governance process with the user input to create a parameterized template, wherein at least one parameter in the parameterized template is a string associated with one or more properties specific to a clinical research study;
generate, based on the parameterized template, at least one study objective and at least one study endpoint for the clinical research study;
processing at least one of the parameters in the parameterized template to present the at least one of the parameters as a human readable phrase that takes into account grammatical rules in support of disclosure submissions mandated by one or more regulatory authorities;
generate, based on the at least one study objective and the at least one study endpoint, a sequence of one or more study events specifying one or more study activities to be executed for the sequence of the one or more study events;
exporting, to one or more of the regulatory database and a microservice, metadata for the clinical research study,
wherein to export the metadata for the clinical research study, the one or more processors are configured to:
retrieve, from the database, a graph data structure representative of the clinical research study;
generate, from the graph data structure representative of the clinical research study, a tree data structure representative of the metadata for the clinical research study; and
store, by the processing circuitry and in the regulatory database, the tree data structure representative of the metadata for the clinical research study; and
store the parameterized template in a database.