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System and methods for personalized clinical decision support tools

A technology of identification and concepts, applied in the direction of medical automated diagnosis, special data processing applications, instruments, etc., can solve problems that prevent informed decision-making, hinder researchers' ability to make discoveries, and cannot access tools and application types

Inactive Publication Date: 2016-05-04
ONTOMICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Today, more and more of our healthcare interactions occur in the digital realm; however, too little attention is paid to data standards and interoperability
As a result, digital health care data remains locked within disparate health care systems and lacks access to the types of tools and applications that have become widespread in other industries
This organization results in unrealized benefits of digital health care data, hinders researchers' ability to make discoveries, and prevents practitioners from making informed decisions tailored to specific patient needs

Method used

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  • System and methods for personalized clinical decision support tools
  • System and methods for personalized clinical decision support tools
  • System and methods for personalized clinical decision support tools

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0195] Example 1: Schematic data flow

[0196] figure 1Metadata collection directly from the healthcare network, the hospital, or the patient itself is shown at various levels. Using a web-based intermediary, data is de-identified to comply with patient privacy and HIPAA standards. This data is then ingested, including streamlined data to facilitate the mapping of data to normalized data definitions at the Object Intelligence stage in post-processing. Additionally, existing ontologies within the software are applied to newly entered data to create objects during the object intelligence phase.

[0197] Such as figure 1 As depicted in , the Object Intelligence stage includes Object Generator, Object Warehouse, Rule Manager and Natural Language Processing (NLP) engine. These components allow the generation, storage, analysis, maintenance and distribution of objects. In this regard, the software provides developers and researchers with a modern application programming int...

Embodiment 2

[0200] Example 2: computer architecture

[0201] Various computer architectures are suitable for use with the invention. image 3 is a first example architecture illustrating a computer system 300 that may be used in conjunction with example embodiments of the invention. Such as image 3 As depicted in , an example computer system may include a processor 302 for processing instructions. Non-limiting examples of processors include: Intel Core i7™ processor, Intel Core i5™ processor, Intel Core i3™ processor, Intel Xeon™ processor, AMD Opteron™ processor, Samsung 32-bit RISCARM1176JZ(F)-Sv1.0™ processor, ARM Cortex-A8 Samsung S5PC100TM processor, ARM Cortex-A8 Apple A4TM processor, Marvell PXA930TM processor or a functionally equivalent processor. Multiple threads of execution can be used for parallel processing. In some implementations, a computer with multiple cores can be used in a single computer system, in a cluster, or in a cluster distributed across the system on a ...

Embodiment 3

[0216] Example 3: Mapping Morbid Obesity Using the Ontology of Human Diseases (DOID)

[0217] The user chooses to use the DOID ontology to search for morbid obesity. The user conducts a search and the user is provided with a list of synonyms as shown in Table 4. Items are retrieved by comparing the searched item to an ontology mapping model of a platform that identifies synonyms in multiple ontology hierarchies. In this case, synonyms are morbidly obese, morbidly obese (disorder), and severely obese. Additionally, the search revealed other ontology databases for cross-references to this project, as shown in Table 4. Finally, the DOID shows the item's hierarchy, which shows not only the specified item, but also the parent, as in Figure 15 shown in the diagram. In this example, the least specified item is "Metabolic Diseases", which eventually leads to an ontology tree to the most specified item - "morbidly obese". This hierarchy reveals that morbid obesity is a type of ob...

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Abstract

The use of a medical software platform to collect, normalize, and aggregate clinical data. Supports clinical care and provides research and clinical tools for institutions, healthcare providers, researchers, and patients. The invention provides a graphical interface to customize searches in the database for specified subsets of conditions, treatments or outcomes. The invention also provides a system and method for searching through clinical databases for desired terms which may provide additional information to a physician regarding patient care. Furthermore, this invention facilitates personalized medicine-based practices as relationships between genetics, personal heath data from multiple sources, disease risk and drug response can be more easily visualized and utilized for patient care and research.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of US Provisional Application No. 61 / 784,647, filed March 14, 2013, which is hereby incorporated by reference in its entirety. [0003] Incorporate by reference [0004] All publications, patents, patent applications and databases mentioned in this specification are herein incorporated by reference as if each individual publication, patent or patent application were specifically and individually indicated to be incorporated by reference. Background technique [0005] Personalized medicine aims to optimize the health care provided to individuals by making decisions related to their care based on all available patient data. The goal of personalized medicine is to provide the right treatment to the right patient at the right time. Since differences in an individual's clinical, genetic, or other molecular data may be related to differences in how an individual develops disease and res...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G16H10/60G16H70/60
CPCG16H50/20G16H10/60G16H70/60
Inventor 斯蒂芬·埃利斯奥马里·戈特斯曼埃尔文·伯廷格尔
Owner ONTOMICS
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