US20120078062A1 - Decision-support application and system for medical differential-diagnosis and treatment using a question-answering system - Google Patents

Decision-support application and system for medical differential-diagnosis and treatment using a question-answering system Download PDF

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Publication number
US20120078062A1
US20120078062A1 US13/077,480 US201113077480A US2012078062A1 US 20120078062 A1 US20120078062 A1 US 20120078062A1 US 201113077480 A US201113077480 A US 201113077480A US 2012078062 A1 US2012078062 A1 US 2012078062A1
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Prior art keywords
medical
answers
treatment
evidence
question
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US13/077,480
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English (en)
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Sugato Bagchi
David A. Ferrucci
Anthony T. Levas
Erik T. Mueller
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International Business Machines Corp
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International Business Machines Corp
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Priority to US13/077,480 priority Critical patent/US20120078062A1/en
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION reassignment INTERNATIONAL BUSINESS MACHINES CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: MUELLER, ERIK T., BAGCHI, SUGATO, FERRUCCI, DAVID A., LEVAS, ANTHONY T.
Priority to PCT/US2012/027936 priority patent/WO2012122196A2/en
Priority to CA2843403A priority patent/CA2843403C/en
Priority to KR1020137025364A priority patent/KR101634425B1/ko
Publication of US20120078062A1 publication Critical patent/US20120078062A1/en
Priority to US15/715,527 priority patent/US10515073B2/en
Priority to US16/693,963 priority patent/US11163763B2/en
Abandoned legal-status Critical Current

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Definitions

  • One exemplary method embodiment herein provides a decision-support system for medical diagnosis and treatment.
  • the system comprises software modules embodied on a computer readable medium, and the software modules comprise an input/output module and a question-answering module.
  • the method receives patient case information using the input/output module and generates a medical diagnosis or treatment query based on the patient case information and also generates a plurality of medical diagnosis or treatment answers for the query using the question-answering module.
  • the method also calculates numerical values for multiple medical evidence dimensions from medical evidence sources for each of the answers using the question-answering module, and also calculates a corresponding confidence value for each of the answers based on the numerical value of each evidence dimension using the question-answering module.
  • the method further outputs the medical diagnosis or treatment answers, the corresponding confidence values, and the numerical values of each medical evidence dimension for one or more selected medical diagnosis or treatment answers using the input/output module.
  • FIG. 10 is a schematic diagram illustrating an embodiment herein applied to the medical domain
  • one aspect of embodiments herein is a repository of all relevant analysis and decisions made to date.
  • This repository 106 contains a representation of the reasoning and decision process not only as an efficiency mechanism, but allows the system to re-evaluate assumptions and decisions in light of new evidence relevant to the case. This allows users to interact with this representation, accepting, rejecting, or modifying it to as they think necessary to explore alternative solutions based on the users' insights into the validity or importance of the evidence or reasoning chain.
  • diagnosis used in the medical domain can be generalized to mean “inform” in other domains.
  • the medical examples found herein illustrates this through answers, confidences, dimensions of evidence, associated evidence passages, and documents where this evidence is found, as well as, reliability of the evidence source.
  • the embodiments herein can be used as a clinical decision support tool by physicians who are providing care to a patient. Examples of queries include (but are not limited to): what clinical conditions are characterized by a set of symptoms?; what is the “differential diagnosis” (a ranked list of diseases) that could potentially cause a set of symptoms, conditions, findings?
  • the system 104 comprises software modules (embodied on a computer readable medium) including an input/output module, a problem case analysis module, a question generation module, a hypotheses and evidence module, etc.
  • the QA system 110 includes a question-answering module, etc.
  • the objective of decision-making is to diagnose and solve problems that arise in a complex system 100 specified in the domain.
  • a human expert (user) 108 who interacts with the decision-support application 104 (through items 100 and 102 ) makes decisions.
  • a record of past decisions and the associated information used to arrive at the decision is maintained in the repository 106 .
  • the question-answering module can match the query to at least one of the previously generated medical diagnosis queries that were generated by the question generation module and stored in the repository 106 .
  • the process continues with new information having been added in item 506 that is analyzed and grouped in relevant dimensions such as present illness, family history, etc.
  • the same process continues as more information continues to be added in item 506 , thereby refining the potential diagnosis.
  • the process has reached a point where the decision-support application 104 indicates in item 514 with high confidence over other potential answers that the proper diagnosis for the particular patient is Lyme disease.
  • the information contained in these dimensions come from the case information (respectively, ‘uveitis’, ‘circular rash . . . ’, ‘arthritis’, and ‘Connecticut’).
  • the numerical value of each evidence dimension comes from the presence of the information contained in these dimensions in the medical content in the context of the hypothesized answer (e.g., Lyme disease).
  • the decision-support application 104 allows the user to select the answer Lyme disease in order to view the evidence profile 516 for the answer.
  • the application 104 reveals the dimensions of evidence and their associated contribution to the Lyme disease diagnosis. The user can then further select a particular dimension to explore snippets of evidence that contribute to this dimension.
  • the application 104 allows for the physician to view the whole documents from which the snippets were derived by clicking on one of the links labeled 518 in FIG. 12 , such as a textbook, journal, or website.
  • the decision-support application 104 is again shown, except in this case the application 104 is directed towards exploring possible treatments for treating the identified condition.
  • FIG. 13 the decision-support application 104 is again shown, except in this case the application 104 is directed towards exploring possible treatments for treating the identified condition.
  • Computer program code for carrying out operations for aspects of the embodiments herein may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the “C” programming language or similar programming languages.
  • the program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server.
  • the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider).
  • LAN local area network
  • WAN wide area network
  • Internet Service Provider for example, AT&T, MCI, Sprint, EarthLink, MSN, GTE, etc.
  • Measured service cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service.
  • Service Models are as follows: Software as a Service (SaaS): the capability provided to the consumer is to use the provider's applications running on a cloud infrastructure. The applications are accessible from various client devices through a thin client interface such as a web browser (e.g., web-based e-mail). The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings.
  • SaaS Software as a Service
  • the consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings.
  • IaaS Infrastructure as a Service
  • the consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, deployed applications, and possibly limited control of select networking components (e.g., host firewalls).
  • Public cloud the cloud infrastructure is made available to the general public or a large industry group and is owned by an organization selling cloud services.
  • Hybrid cloud the cloud infrastructure is a composition of two or more clouds (private, community, or public) that remain unique entities but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load-balancing between clouds).
  • memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
  • Program/utility 40 having a set (at least one) of program modules 42 , may be stored in memory 28 by way of example, and not limitation, as well as an operating system, one or more application programs, other program modules, and program data. Each of the operating system, one or more application programs, other program modules, and program data or some combination thereof, may include an implementation of a networking environment.
  • Program modules 42 generally carry out the functions and/or methodologies of embodiments of the invention as described herein.
  • these resources may comprise application software licenses.
  • Security provides identity verification for cloud consumers and tasks, as well as protection for data and other resources.
  • User portal provides access to the cloud computing environment for consumers and system administrators.
  • Service level management provides cloud computing resource allocation and management such that required service levels are met.
  • Service Level Agreement (SLA) planning and fulfillment provide pre-arrangement for, and procurement of, cloud computing resources for which a future requirement is anticipated in accordance with an SLA.
  • SLA Service Level Agreement

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US13/077,480 2010-09-24 2011-03-31 Decision-support application and system for medical differential-diagnosis and treatment using a question-answering system Abandoned US20120078062A1 (en)

Priority Applications (6)

Application Number Priority Date Filing Date Title
US13/077,480 US20120078062A1 (en) 2010-09-24 2011-03-31 Decision-support application and system for medical differential-diagnosis and treatment using a question-answering system
PCT/US2012/027936 WO2012122196A2 (en) 2011-03-08 2012-03-07 A decision-support application and system for medical differential-diagnosis and treatment using a question-answering system
CA2843403A CA2843403C (en) 2011-03-08 2012-03-07 A decision-support application and system for medical differential-diagnosis and treatment using a question-answering system
KR1020137025364A KR101634425B1 (ko) 2011-03-08 2012-03-07 질의-응답 시스템을 사용하는 의학적 감별진단 및 치료를 위한 의사결정-지원 애플리케이션 및 시스템
US15/715,527 US10515073B2 (en) 2010-09-24 2017-09-26 Decision-support application and system for medical differential-diagnosis and treatment using a question-answering system
US16/693,963 US11163763B2 (en) 2010-09-24 2019-11-25 Decision-support application and system for medical differential-diagnosis and treatment using a question-answering system

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US38605110P 2010-09-24 2010-09-24
US13/077,480 US20120078062A1 (en) 2010-09-24 2011-03-31 Decision-support application and system for medical differential-diagnosis and treatment using a question-answering system

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US15/715,527 Continuation US10515073B2 (en) 2010-09-24 2017-09-26 Decision-support application and system for medical differential-diagnosis and treatment using a question-answering system

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US20120078062A1 true US20120078062A1 (en) 2012-03-29

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US13/077,480 Abandoned US20120078062A1 (en) 2010-09-24 2011-03-31 Decision-support application and system for medical differential-diagnosis and treatment using a question-answering system
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US15/861,390 Active US10318529B2 (en) 2010-09-24 2018-01-03 Providing answers to questions including assembling answers from multiple document segments
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US16/411,828 Active 2032-06-11 US11144544B2 (en) 2010-09-24 2019-05-14 Providing answers to questions including assembling answers from multiple document segments
US16/693,963 Active 2031-08-29 US11163763B2 (en) 2010-09-24 2019-11-25 Decision-support application and system for medical differential-diagnosis and treatment using a question-answering system

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US13/077,464 Active 2032-10-30 US9002773B2 (en) 2010-09-24 2011-03-31 Decision-support application and system for problem solving using a question-answering system

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US15/861,390 Active US10318529B2 (en) 2010-09-24 2018-01-03 Providing answers to questions including assembling answers from multiple document segments
US15/966,191 Active US10331663B2 (en) 2010-09-24 2018-04-30 Providing answers to questions including assembling answers from multiple document segments
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