Dynamically determining risk of clinical condition

Patent metadata

Field	Value
Publication number	US-12417846-B2
Application number	US-202217812252-A
Country	US
Kind code	B2
Filing date	Jul 13, 2022
Priority date	Aug 12, 2013
Publication date	Sep 16, 2025
Grant date	Sep 16, 2025

Abstract

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.

First claim

What is claimed is:

1. A computer system having one or more hardware processors configured to facilitate a plurality of operations, the operations comprising:
receiving a portion of patient health data associated with a patient, the portion of patient health data including a first set of clinical concepts encoded in a first clinical nomenclature;
determining, from the portion of patient health data and based at least on an identification of a location in a traversable state machine via a finite state machine agent or solver, a current state of the patient;
based on the determined current state of the patient and based further on the portion of patient health data, performing via the one or more hardware processors:
(a) utilizing the portion of patient health data and information corresponding to one or both of the location in the traversable state machine and a state in the traversable state machine to access a library of clinical condition programs that are encoded in the second nomenclature and stored at one or more physical data stores distributed across multiple physical locations;
(b) based on accessing the library and based further on identifying at least one clinical condition program in the library, utilizing one or more distributed electronic adaptive agents to dynamically construct a clinical condition computer program routine for the patient based on the determined current state of the patient; and
(c) executing the clinical condition computer program routine to determine a set of clinical concepts relevant to the determined current state of the patient, the set of clinical concepts including at least one clinical concept encoded in the second clinical nomenclature;

converting, via the one or more hardware processors, the at least one clinical concept encoded in the second clinical nomenclature from the second clinical nomenclature to the first clinical nomenclature; and
presenting, via the one or more hardware processors and via an electronic user interface, information associated with the at least one clinical concept in the first clinical nomenclature after the at least one clinical concept encoded in the second clinical nomenclature is converted from the second clinical nomenclature to the first clinical nomenclature.

2. The computer system of claim 1 , wherein the clinical condition program is implemented by an autonomous software agent, and herein the operations further comprise causing the electronic user interface to display a condition risk area responsive to selection of a clinical condition of a set of one or more clinical conditions, the condition risk area comprising:
a computed likelihood of the clinical condition;
a set of risk factors associated with the clinical condition; and
a clinical value associated with at least a portion of the set of risk factors.

3. The computer system of claim 2 , wherein: (a) the clinical value comprises a patient-specific value corresponding to a clinical variable associated with the portion of patient health data, (b) a presented computed likelihood of the clinical condition and the set of risk factors are dynamically responsive to changes in the clinical condition computer program routine, and (c) the operations further comprise: (i) displaying, via the electronic user interface, a clinical information area including a set of clinical information elements associated with the clinical condition from the portion of patient health data, (ii) receiving patient health information relevant to concurrent clinical conditions, and (iii) updating a likelihood of the patient having each of the concurrent clinical conditions based on the received patient health information.

4. The computer system of claim 2 , wherein the operations further comprise:
receiving an indication of a change in the set of risk factors associated with a condition; and
based on the indication, dynamically updating the set of risk factors presented in the condition risk area.

5. The computer system of claim 1 , wherein the first set of clinical concepts comprises lab results, test results, patient conditions, patient health history, patient demographic information, or other discretized health-related information.

6. The computer system of claim 1 , wherein the clinical condition computer program routine is dynamically constructed by multiple geographically distributed electronic adaptive agents operating on a cloud based computing platform.

7. One or more non-transitory media having computer-readable instructions that, when executed by one or more hardware processors, cause the one or more hardware processors to facilitate a plurality of operations, the operations comprising:
receiving a portion of patient health data associated with a patient, the portion of patient health data including a first set of clinical concepts encoded in a first clinical nomenclature;
determining, from the portion of patient health data and based at least on an identification of a location in a traversable state machine via a finite state machine agent or solver, a current state of the patient;
based on the determined current state of the patient and based further on the portion of patient health data, performing via a set of the one or more hardware processors:
(a) utilizing the portion of patient health data and information corresponding to one or both of the location in the traversable state machine and a state in the traversable state machine to access a library of clinical condition programs that are encoded in the second nomenclature and stored at one or more physical data stores distributed across multiple physical locations;
(b) based on accessing the library and based further on identifying at least one clinical condition program in the library, dynamically constructing, by one or more distributed electronic adaptive agents, a clinical condition computer program routine for use with information associated with at least the portion of patient health data; and
(c) executing the clinical condition computer program routine to determine a set of clinical concepts relevant to the determined current state of the patient, the set of clinical concepts including at least one clinical concept encoded in the second clinical nomenclature;

converting, via the one or more hardware processors, the at least one clinical concept encoded in the second clinical nomenclature from the second clinical nomenclature to the first clinical nomenclature; and
presenting, via the one or more hardware processors and via an electronic user interface, information associated with the at least one clinical concept in the first clinical nomenclature after the at least one clinical concept encoded in the second clinical nomenclature is converted from the second clinical nomenclature to the first clinical nomenclature.

8. The one or more non-transitory media of claim 7 , wherein the operations further comprise causing the electronic user interface to display a clinical conditions menu including clinical conditions for which the patient is at risk.

9. The one or more non-transitory media of claim 8 , wherein the operations further comprise causing the electronic user interface to display a condition risk area responsive to selection of a clinical condition of the clinical conditions, the condition risk area comprising:
a computed likelihood of the clinical condition;
a set of risk factors associated with the clinical condition; and
a clinical value associated with at least a portion of the set of risk factors.

10. The one or more non-transitory media of claim 7 , 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 operati

Assignees

• Cerner Innovation Inc

Inventors

• Mcnair Douglas S
• Murrish John Christopher
• Kailasam Kanakasabha

Classifications

• G16H10/60

  for patient-specific data, e.g. for electronic patient records · CPC title

• G16H50/30

  for calculating health indices; for individual health risk assessment · CPC title

• G06F3/0484

  for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range · CPC title

• G16H50/20 Primary

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title