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1. 发明授权

US11495354B2 Dynamically determining risk of clinical condition 有权
公开(公告)号：US11495354B2
公开(公告)日：2022-11-08
申请号：US16601311
申请日：2019-10-14
申请人： CERNER INNOVATION, INC.
发明人： Douglas S. McNair , John Christopher Murrish , Kanakasabha Kailasam
IPC分类号： G16H50/20 , G16H50/30 , G16H10/60
摘要： 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.

2. 发明授权

US11468996B1 Maintaining stability of health services entities treating influenza 有权
公开(公告)号：US11468996B1
公开(公告)日：2022-10-11
申请号：US16866269
申请日：2020-05-04
申请人： CERNER INNOVATION, INC.
发明人： Douglas S. McNair
IPC分类号： G16H50/30 , G16H50/50 , G16H50/80
摘要： Systems, methods and computer-readable media are provided for determining and mitigating the aggregate loss risk associated with hospitalization for epidemic or pandemic influenza for health insurers, reinsurers, provider organizations, or public policy-makers. An accurate prediction of this risk may be provided, which may be used to determine parameters for reinsurance underwriting or for issuance and trading of catastrophe bonds (“cat bonds”) or other insurance-linked securities (ILS) and derivatives to lay off substantial amounts of such risk to capital markets investors. In particular, one embodiment uses a novel log-expit transformation of the raw data and non-parametric gradient-boosting machine-learning modeling in order to determine a high-claim right-tail risk. Some embodiments further comprise securitizing epidemic or pandemic influenza acute care health services catastrophe risk.

3. 发明授权

US11278246B1 Determining respiratory deterioration and decision support tool 有权
公开(公告)号：US11278246B1
公开(公告)日：2022-03-22
申请号：US16125467
申请日：2018-09-07
申请人： CERNER INNOVATION, INC.
发明人： Douglas S. McNair
IPC分类号： A61B5/00 , A61B5/08 , A61B7/04 , A61B7/00
摘要： Decision support technology is provided for use with patients who may experience respiratory deterioration. A mechanism is provided to determine an indicator of a patient's probability of deterioration of respiratory functioning, which may include calculating a probability of a respiratory deterioration event in patients from whom serial digital recordings of respiratory sounds are acquired. A forecast or score representing a likelihood of deterioration may be generated and used for pulmonary disease prognosis, diagnosis, and/or determining or implementing an appropriate response action such as automatically issuing an alert or notification to a caregiver associated with the patient.

4. 发明授权

US11250036B2 Synonym discovery 有权
公开(公告)号：US11250036B2
公开(公告)日：2022-02-15
申请号：US16226049
申请日：2018-12-19
申请人： CERNER INNOVATION, INC.
发明人： Douglas S. McNair , Kanakasabha K. Kailasam , John Christopher Murrish
IPC分类号： G06F7/00 , G06F16/28 , G16H10/60 , G16H15/00 , G16H50/70
摘要： Methods, systems, and computer-readable media are provided for facilitating mapping of semantically similar terms between and among two or more information systems. In particular, to facilitate automatic discovery, establishment, and/or statistical validation of linkages between a plurality of different nomenclatures employed by a plurality of information systems, such as multiple electronic health record systems. In embodiments, the imputation of latent synonymy in corpora comprised of samples of historical records from each system enables automated terminology mapping between disparate systems' records, thereby establishing reliable linkages that may subsequently be utilized for realtime decision support, data mining-based research, or other valuable purposes.

5. 发明授权

US11188717B1 Determining adequacy of documentation using perplexity and probabilistic coherence 有权
公开(公告)号：US11188717B1
公开(公告)日：2021-11-30
申请号：US16574735
申请日：2019-09-18
申请人： CERNER INNOVATION, INC.
发明人： Douglas S. McNair
IPC分类号： G06F40/00 , G06F40/30 , G16H10/60
摘要： Technologies are provided for determining deficiencies in narrative textual data that may impact decision-making in a decisional context. A candidate text document and a reference corpus of text may be utilized to generate one or more topic models and document-term matrices, and then to determine a corresponding statistical perplexity and probabilistic coherence. The reference corpus may be known or normatively deemed to be epistemically persuasive and adequate with respect to a particular context. Statistical determinations of a degree to which the candidate deviates from the reference normative corpus are determined, in terms of the statistical perplexity and probabilistic coherence of the candidate as compared to the reference. If the difference is statistically significant, a message may be reported to user, such as the author or an auditor of the candidate text document, so that the user has the opportunity to amend the candidate document so as to improve its adequacy for the decisional purposes in the context at hand.

6. 发明授权

US11145396B1 Discovering context-specific complexity and utilization sequences 有权
公开(公告)号：US11145396B1
公开(公告)日：2021-10-12
申请号：US15855720
申请日：2017-12-27
申请人： CERNER INNOVATION, INC.
发明人： Douglas S. McNair
IPC分类号： G16H20/10 , G16H10/60 , G16H50/20
摘要： Systems, methods, and computer-readable media are provided for patient case and care complexity characterization, and detecting matches of an individual patient's record with collections of other patients' records, based on serial, longitudinal patterns, for facilitating efficient health services utilization, implementing programs to reduce complexity, preventive medicine, and risk management in health care. In an embodiment, time series are formed by electronically representing information pertaining to successive longitudinal episodes of health services utilization and the circumstances in which the episodes were incurred; calculating time-series K-nearest-neighbor clusters and distances for each combination; determining the cluster to which a given candidate patient complexity record is nearest, and prescribing one or more interventions specific to the plurality of hazards that are characteristic of trajectories that are members of that cluster, or that are deemed to be relevant to mitigating those hazards, thereby preventing the adverse outcomes and subsequent excess utilization that are prevalent in that cluster.

7. 发明授权

US11087881B1 Computerized systems and methods for facilitating clinical decision making 有权
公开(公告)号：US11087881B1
公开(公告)日：2021-08-10
申请号：US16588647
申请日：2019-09-30
申请人： CERNER INNOVATION, INC.
发明人： John Christopher Murrish , Douglas S. McNair , Kanakasabha Kailasam
IPC分类号： G16H50/20
摘要： A system, method, and computer-readable media are provided for facilitating clinical decision making, and in particular, facilitating treatment of a person having congestive heart failure. The method includes the step of receiving patient information for a patient. The method also includes the steps of determining whether the patient information suggests a trigger event, and upon determining a trigger event, determining at least one goal associated with the trigger event. The method also includes the steps of selecting a first plan, from a library of plans, corresponding to the goal and executing the plan, which further includes determining a solver to determine patient conditions or recommended treatments, receiving parameters for the determined solver, and preparing patient information for the determined solver. The method further includes instantiating the solver based on the received parameters and the prepared patient information, and applying the solver to determine a patient condition or recommended treatment.

8. 发明授权

US10671703B1 Maintaining stability of health services entities treating influenza 有权
公开(公告)号：US10671703B1
公开(公告)日：2020-06-02
申请号：US15083090
申请日：2016-03-28
申请人： Cerner Innovation, Inc.
发明人： Douglas S. McNair
IPC分类号： G06F19/00 , G16H50/50 , G16H50/80
摘要： Systems, methods and computer-readable media are provided for determining and mitigating the aggregate loss risk associated with hospitalization for epidemic or pandemic influenza for health insurers, reinsurers, provider organizations, or public policy-makers. An accurate prediction of this risk may be provided, which may be used to determine parameters for reinsurance underwriting or for issuance and trading of catastrophe bonds (“cat bonds”) or other insurance-linked securities (ILS) and derivatives to lay off substantial amounts of such risk to capital markets investors. In particular, one embodiment uses a novel log-expit transformation of the raw data and non-parametric gradient-boosting machine-learning modeling in order to determine a high-claim right-tail risk. Some embodiments further comprise securitizing epidemic or pandemic influenza acute care health services catastrophe risk.

9. 发明授权

US10653368B1 Determining when to emit an alarm 有权
公开(公告)号：US10653368B1
公开(公告)日：2020-05-19
申请号：US14481436
申请日：2014-09-09
申请人： Cerner Innovation, Inc.
发明人： Douglas S. McNair
IPC分类号： G01N33/48 , G01N33/50 , A61B5/00 , A61B5/0205 , A61B5/021 , A61B5/145 , A61B5/03 , A61B5/01 , A61M16/04 , A61M16/00 , A61B5/08 , A61B5/024
摘要： Systems and methods are provided for evaluating an alarm condition for a monitored patient in a population of one or more patients. One or more physiological parameters pertaining to the patient, or physiological variables, are used to form a time series describing the patient status. A dimension parameter such as a time series roughness statistic or a fractal dimension is used to estimate a dimension decision statistic over time. The dimension decision statistic is used as a measure of physiological condition. The dimension decision statistic may be compared to a threshold to determine a region of operation for the dimension of the physiological variable. The dimension decision statistic is used in an embodiment in combination with the underlying raw physiological variable value to reduce the rate of false alarms, to increase the frequency of missed detections, and to aid diagnostic decision making and to aid the formation of a crisis action plan.

10. 发明授权

US10468137B1 Managing treatment of children with Tetralogy of Fallot 有权
公开(公告)号：US10468137B1
公开(公告)日：2019-11-05
申请号：US14304165
申请日：2014-06-13
申请人： Cerner Innovation, Inc.
发明人： Douglas S. McNair , Sasanka Are , Kanakasabha Kailasam
IPC分类号： G16H50/30
摘要： Systems and methods are provided for managing treatment of children with a congenital cyanotic heart condition such as Tetralogy of Fallot (ToF) including determining predicted survival probabilities within a timeframe wherein patients await medical treatment such as surgical correction, based on amounts of a biomarker, such as BNP (brain natriuretic peptide) in serial samples of blood plasma from the subject and determining a Tetralogy of Fallot Index (TOFI®) score from the biomarker values. Some embodiments use TOFI score to determine severity and include scheduling and prioritizing medical treatment for patients based on the severity. In some embodiments, the TOFI score is calculated from a plurality of biomarker measurements, which are log-transformed and z-score transformed, by a mathematical survival predictive model, such as a Cox Proportional Hazards model. In some embodiments, the method is implemented on a mobile device, such as a smart-phone or tablet application, or via web-based or cloud-based computing services.

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