User interface for clinical decision support
Systems, methods and computer-readable media are provided for facilitating clinical decision support and managing patient population health by health-related entities including caregivers, health care administrators, insurance providers, and patients. Embodiments of the invention provide decision support services including providing timely contextual patient information including condition risks, risk factors and relevant clinical information that are dynamically updatable; imputing missing patient information; dynamically generating assessments for obtaining additional patient information based on context; data-mining and information discovery services including discovering new knowledge; identifying or evaluating treatments or sequences of patient care actions and behaviors, and providing recommendations based on this; intelligent, adaptive decision support services including identifying critical junctures in patient care processes, such as points in time that warrant close attention by caregivers; near-real time querying across diverse health records data sources, which may use diverse clinical nomenclatures and ontologies; improved natural language processing services; and other decision support services.
1 . One or more non-transitory media having instructions that, when executed by one or more processors, cause the one or more processors to facilitate a plurality of operations, the operations comprising:
identifying a portion of health data associated with a particular patient and including a first format, the health data including first patient information and a first set of patient clinical values;
determining a current state associated with the particular patient based on the portion of health data and based further on at least a finite state machine adaptive agent or solver,
wherein:
the determining includes identifying at least one state-machine metric based on utilizing the finite state machine adaptive agent or solver, and
the at least one state-machine metric includes at least one item selected from a group of state-machine metrics comprising one or both of:
a particular location of a plurality of locations, in a traversable state machine, corresponding to a plurality of states in the traversable state machine; and
a particular state of the plurality of states in the traversable state machine;
accessing a library of encoded clinical condition programs to construct a clinical condition computer program routine, for the particular patient, using a set of information that includes a second format and corresponds to one or both of the particular location in the traversable state machine and the particular state in the traversable state machine;
executing the clinical condition computer program routine for the particular patient to obtain a result;
based at least on the executing, mapping the result to the first format to produce a plurality of clinical conditions and presenting a clinical conditions menu at a user interface of a user device, the clinical conditions menu comprising the plurality of clinical conditions, wherein each of the plurality of clinical conditions is associated with at least a portion of the clinical condition computer program routine for the particular patient;
responsive to receiving a selection by a user of a particular clinical condition from the clinical conditions menu and based on the clinical condition computer program routine, presenting, at the user interface of the user device:
a clinical condition risk area including at least one element from a group comprising a) a condition risk score representing the particular patient's risk for having the particular clinical condition, the condition risk score determined from a clinical condition program corresponding to the particular clinical condition, b) a set of risk factors used by the clinical condition program for determining the condition risk score, and c) for at least a portion of the risk factors, a clinical value for the risk factor, the clinical value determined from the first patient information; and
a clinical information area comprising a plurality of clinical information elements associated with the particular clinical condition and with the first format, the plurality of clinical information elements populated with the first set of patient clinical values.
2 . The one or more non-transitory media of claim 1 , wherein the clinical condition program is based on healthcare information obtained from a plurality of patient health records from at least two record systems having distinct clinical nomenclatures, wherein the clinical condition program is accessed from a remote server, and wherein the presented condition risk score and set of risk factors are dynamically responsive to changes in a corresponding clinical condition program.
3 . The one or more non-transitory media of claim 1 , wherein the operations further comprise:
presenting, at the user interface of the user device, a condition assessment area comprising a contextually-driven assessment based on patient information relevant to diagnosing or treating a condition; and
receiving patient information in response to presenting the assessment, the received information including one or more clinical concepts encoded in a first clinical nomenclature.
4 . The one or more non-transitory media of claim 1 , wherein the operations further comprise:
presenting, at the user interface of the user device, a condition assessment area comprising a contextually-driven assessment based on patient information relevant to diagnosing or treating a condition; and
determining the patient information is absent in the health data.
5 . The one or more non-transitory media of claim 1 , wherein the clinical information elements are presented in a proprietary clinical nomenclature.
6 . The one or more non-transitory media of claim 1 , wherein the plurality of clinical conditions are determined based on a treatment-session context, and wherein the treatment-session context is based on at least one of a user-caregiver's clinical specialty, a clinical treatment venue, the particular clinical condition, and a condition care program.
7 . The one or more non-transitory media of claim 1 , wherein the operations further comprise: detecting a change in the set of risk factors used for determining a condition risk score of a condition; based on the detected change, causing the clinical condition program corresponding to the condition to be updated via a remote server; and dynamically updating, at the user interface of the user device, the clinical condition risk area, in response to updating the clinical condition program.
8 . The one or more non-transitory media of claim 7 , wherein updating the clinical condition risk area includes updating the presented condition risk score or presented set of risk factors, and wherein the operations further comprise displaying, at the user interface of the user device, an indication that the presented condition risk score or presented set of risk factors have changed.
9 . The one or more non-transitory media of claim 7 , wherein determining a change in the set of risk factors comprises determining that the set of risk factors includes a new risk factor, and wherein the operations further comprise displaying, at the user interface of the user device, an indication that a new risk factor has been added.
10 . The one or more non-transitory media of claim 7 , wherein the operations further comprise:
determining that a set of clinical values for a patient corresponding to the determined change in the set of risk factors used for determining the condition risk score is absent in the health data; and
imputing values for the absent set of clinical values for the patient based on a second set of clinical values of a plurality of other patients having a set of clinical concepts associated with the condition in common with the patient.
11 . The one or more non-transitory media of claim 1 , wherein the clinical conditions menu is dynamically responsive to changes in condition care programs or changes in clinical information associated with the particular patient.
12 . The one or more non-transitory media of claim 1 , wherein the plurality of clinical information elements presented is determined based on a condition care program and organizationally presented based on a treatment-session context.
13 . The one or more non-transitory media of claim 1 , wherein each clinical condition program of the clinical condition programs is generated based on one or more risk factors particular to the health data and to the clinical condition program.
14 . The one or more non-transitory media of claim 1 , wherein the operations further comprise: based on the determined current state of the particular patient, accessing the library of encoded clinical condition programs encoded in the second format to construct at least one of the clinical condition programs for the particular patient.
15 . The one or more non-transitory media of claim 1 , wherein the operations further comprise:
determining, based on concepts associated with the health data for the particular patient, a current state of the particular patient; and
accessing the library of encoded clinical condition programs to construct at least one of the clinical condition programs for the particular patient based on the determined current state of the particular patient.
16 . The one or more non-transitory media of claim 1 , wherein each of the clinical condition programs corresponding to the clinical conditions menu is constructed via the library of encoded clinical condition programs based on concepts associated with the health data for the particular patient.
17 . The one or more non-transitory media of claim 16 , wherein the operations further comprise utilizing a particular clinical condition program to determine a particular condition risk score indicative of a probability that the particular patient has the particular clinical condition of the clinical conditions.
18 . The one or more non-transitory media of claim 1 , wherein at least one operation of the operations is carried out by applying one or more adaptive agents configured to facilitate performance of the at least one operation, and wherein the operations further comprise updating the one or more configured adaptive agents based on information associated with additional health data associated with the particular patient.
19 . The one or more non-transitory media of claim 1 , wherein each of the clinical condition programs is dynamically constructed, via the operations performed by the one or more processors, based on the health data associated with the particular patient.
20 . The one or more non-transitory media of claim 1 , wherein each of the plurality of clinical conditions is associated with a corresponding one of a plurality of clinical condition programs.
21 . The one or more non-transitory media of claim 1 , wherein each of the plurality of clinical conditions is associated with a corresponding one of a plurality of clinical condition programs, and wherein each clinical condition program of the plurality of clinical condition programs is selected from the library of encoded clinical condition programs.
22 . The one or more non-transitory media of claim 1 , wherein the clinical condition program is determined based on the library of encoded clinical condition programs and based on the current state corresponding to the particular location in the traversable state machine and corresponding to the particular state in the traversable state machine.
23 . The one or more non-transitory media of claim 1 , wherein the clinical condition program is determined based on the accessing and based on the particular location in the traversable state machine.
24 . The one or more non-transitory media of claim 1 , wherein the clinical condition computer program routine is constructed via accessing the library of encoded clinical condition programs and via the particular state in the traversable state machine.
25 . The one or more non-transitory media of claim 1 , wherein the library of encoded clinical condition programs is accessed to dynamically build the clinical condition computer program routine for the particular patient and based on the set of information corresponding to the particular state in the traversable state machine.
26 . The one or more non-transitory media of claim 1 , wherein each clinical condition program of the library of encoded clinical condition programs is dynamically created from a corresponding clinical condition program in the library of encoded clinical condition programs.
27 . The one or more non-transitory media of claim 1 , wherein the portion of health data is comprises a first terminology, and wherein the result comprises a second terminology differing from the first terminology.
28 . The one or more non-transitory media of claim 1 , wherein the portion of health data comprises a health data format that differs from a data format of the set of information.
29 . The one or more non-transitory media of claim 1 , wherein the result comprises content, of the plurality of clinical conditions, coded in the first format.
30 . The one or more non-transitory media of claim 1 , wherein mapping the result corresponds to converting the result from a nomenclature used by an electronic health record system associated with the portion of health data to a nomenclature used in i) a metadata smart layer and ii) the library of encoded clinical condition programs.
31 . A system having one or more processors configured to facilitate a plurality of operations, the operations comprising:
identifying a portion of health data associated with a particular patient and including a first format, the health data including first patient information and a first set of patient clinical values;
determining a current state associated with the particular patient based on the portion of health data and based further on at least a finite state machine adaptive agent or solver,
wherein:
the determining includes identifying at least one state-machine metric based on utilizing the finite state machine adaptive agent or solver, and
the at least one state-machine metric includes at least one item selected from a group of state-machine metrics comprising one or both of:
a particular location of a plurality of locations, in a traversable state machine, corresponding to a plurality of states in the traversable state machine; and
a particular state of the plurality of states in the traversable state machine;
accessing a library of encoded clinical condition programs to construct a clinical condition computer program routine, for the particular patient, using a set of information that includes a second format and corresponds to one or both of the particular location in the traversable state machine and the particular state in the traversable state machine;
executing the clinical condition computer program routine for the particular patient to obtain a result;
based at least on the executing, mapping the result to the first format to produce a plurality of clinical conditions and presenting a clinical conditions menu at a user interface of a user device, the clinical conditions menu comprising the plurality of clinical conditions, wherein each of the plurality of clinical conditions is associated with at least a portion of the clinical condition computer program routine for the particular patient;
responsive to receiving a selection by a user of a particular clinical condition from the clinical conditions menu and based on the clinical condition computer program routine,
presenting, at the user interface of the user device:
a clinical condition risk area including at least one element from a group comprising a) a condition risk score representing the particular patient's risk for having the particular clinical condition, the condition risk score determined from a clinical condition program corresponding to the particular clinical condition, b) a set of risk factors used by the clinical condition program for determining the condition risk score, and c) for at least a portion of the risk factors, a clinical value for the risk factor, the clinical value determined from the first patient information; and
a clinical information area comprising a plurality of clinical information elements associated with the particular clinical condition and with the first format, the plurality of clinical information elements populated with the first set of patient clinical values.
32 . A computerized method, comprising:
identifying a portion of health data associated with a particular patient and including a first format, the health data including first patient information and a first set of patient clinical values;
determining a current state associated with the particular patient based on the portion of health data and based further on at least a finite state machine adaptive agent or solver,
wherein:
the determining includes identifying at least one state-machine metric based on utilizing the finite state machine adaptive agent or solver, and
the at least one state-machine metric includes at least one item selected from a group of state-machine metrics comprising one or both of:
a particular location of a plurality of locations, in a traversable state machine, corresponding to a plurality of states in the traversable state machine; and
a particular state of the plurality of states in the traversable state machine;
accessing a library of encoded clinical condition programs to construct a clinical condition computer program routine, for the particular patient, using a set of information that includes a second format and corresponds to one or both of the particular location in the traversable state machine and the particular state in the traversable state machine;
executing the clinical condition computer program routine for the particular patient to obtain a result;
based at least on the executing, mapping the result to the first format to produce a plurality of clinical conditions and presenting a clinical conditions menu at a user interface of a user device, the clinical conditions menu comprising the plurality of clinical conditions, wherein each of the plurality of clinical conditions is associated with at least a portion of the clinical condition computer program routine for the particular patient;
responsive to receiving a selection by a user of a particular clinical condition from the clinical conditions menu and based on the clinical condition computer program routine, presenting, at the user interface of the user device:
a clinical condition risk area including at least one element from a group comprising a) a condition risk score representing the particular patient's risk for having the particular clinical condition, the condition risk score determined from a clinical condition program corresponding to the particular clinical condition, b) a set of risk factors used by the clinical condition program for determining the condition risk score, and c) for at least a portion of the risk factors, a clinical value for the risk factor, the clinical value determined from the first patient information; and
a clinical information area comprising a plurality of clinical information elements associated with the particular clinical condition and with the first format, the plurality of clinical information elements populated with the first set of patient clinical values.