Clinical decision support system

• US 20070112782A1
• Filed: 09/05/2006
• Published: 05/17/2007
• Est. Priority Date: 09/06/2005
• Status: Abandoned Application

• Current Assignee: Kedasys, LLC
• Original Assignee: Kedasys, LLC
• Inventors: Kawamoto, Kensaku, Lobach, David
• Application Number:
  US11/515,556
• Publication Number:
  US 20070112782A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 70/20 relating to practices or guidelines
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A clinical decision support system enabling sharing of medical knowledge in a machine executable format, implementable as a network-based system in which individual executable knowledge modules (EKMs) define the data requirements for assessing a patient, the conclusions that can be drawn using that data, and instructions on how to generate those conclusions. Using standards-based messages transmitted over a network, client decision support applications provide patient data to the system and receive patient-specific assessments and recommendations. The system permits re-use of executable medical knowledge across diverse applications and care settings, easy authoring of knowledge modules, and use of the system framework to implement decision support applications having significant clinical utility.

Claims

1. A clinical decision support system, comprising a network server adapted for communication with a network by which the network server and a client can communicate with one another, wherein said client includes one or more client applications and one or more patient data sources,

said network server being programmably coupled with one or more knowledge modules capable of using patient data to make inferences regarding a patient,

wherein said network server is capable of communicating to said client what knowledge modules are available for evaluating patients,

wherein said network server is capable of communicating to said client the data requirements for evaluating a patient using one or more said knowledge modules,

wherein said network server is capable of communicating to said client what conclusions can be drawn regarding a patient using one or more said knowledge modules,

wherein said network server is programmably arranged for said communication with said client to (i) receive from said client application requests to evaluate one or more patients using one or more said knowledge modules, wherein the data provided by the client application includes patient data obtained from said patient data source(s), and to (ii) responsively transmit to said client application patient-specific inferences, and

wherein communications between said network server and said client application utilize a network communications language that is interoperative with different operating systems and programming languages.

2. The system of claim 1, adapted to provide at least one service selected from the group comprising:

(i) a service in which said network server receives from said client requests to describe the knowledge modules that can be used to draw inferences regarding a patient, with the request optionally constrained by one or more search parameters, wherein said network server responsively transmits to said client information on knowledge modules meeting search criteria;

(ii) a service in which said network server receives from said client requests to describe the data requirements for drawing inferences regarding a patient using specified knowledge modules, wherein said network server responsively transmits to said client information on the data required to properly evaluate a patient using the specified modules; and

(iii) a service in which said network server receives from said client requests to describe one or more specified knowledge modules, wherein said network server responsively transmits to said client information on said knowledge modules, including information on the format and meaning of the machine-interpretable inferences that can be drawn when patients are evaluated using the modules.

3. The system of claim 2, wherein said network server is programmably coupled with a plurality of executable knowledge modules specifying data requirements for assessing a patient, patient-specific conclusions that can be drawn from using that data, and instructional logic utilized to generate the patient-specific conclusions using the specified patient data.

4. The system of claim 1, wherein said network comprises at least one of an intranet, extranet and internet.

5. The system of claim 3, wherein said network comprises at least one of an intranet, extranet and internet.

6. The system of claim 4, wherein said network includes an internet.

7. The system of claim 5, wherein said network includes an internet.

8. The system of claim 1, wherein the network is bypassed in a special case in which the network server and client application are located on the same computer.

9. The system of claim 3, wherein the network is bypassed in a special case in which the network server and client application are located on the same computer.

10. The system of claim 1, wherein the network supports information protocols including at least one of HTTP and XML.

11. The system of claim 3, wherein the network supports information protocols including at least one of HTTP and XML.

12. The system of claim 10, wherein said information protocols include HTTP.

13. The system of claim 11, wherein said information protocols include HTTP.

14. The system of claim 10, wherein said information protocols include XML.

15. The system of claim 11, wherein said information protocols include XML.

16. The system of claim 1, wherein said communications utilize Health Level 7 (HL7) messages.

17. The system of claim 3, wherein said communications utilize HL7 messages.

18. The system of claim 1, wherein the system utilizes a standards-based patient information model.

19. The system of claim 3, wherein the system utilizes a standards-based patient information model.

20. The system of claim 18, wherein said patient information model includes at least part of the HL7 Reference Information Model (RIM).

22. The system of claim 1, wherein data requirements can be specified using multiple vocabularies.

23. The system of claim 3, wherein data requirements can be specified using multiple vocabularies.

24. The system of claim 22, where said vocabularies include one or more vocabularies included in the National Library of Medicine'"'"'s Unified Medical Language System.

25. The system of claim 23, where said vocabularies include one or more vocabularies included in the National Library of Medicine'"'"'s Unified Medical Language System.

26. The system of claim 1, wherein data requirements are associated with individual knowledge modules, rather than with said patient evaluation service as a whole.

27. The system of claim 3, wherein data requirements are associated with individual knowledge modules, rather than with said patient evaluation service as a whole.

28. The system of claim 1, wherein said client can request a patient to be evaluated at any point in time, past or future.

29. The system of claim 3, wherein said client can request a patient to be evaluated at any point in time, past or future.

30. The system of claim 1, wherein said patient evaluation service returns machine-interpretable results that comprise at least one of the following:

a unique result code, a patient-specific assessment message, a patient-specific recommendation message, and zero or more result parameters.

31. The system of claim 3, wherein said patient evaluation service returns machine-interpretable results that comprise at least one of the following:

a unique result code, a patient-specific assessment message, a patient-specific recommendation message, and zero or more result parameters.

32. The system of claim 3, wherein the network server is arranged to communicate with the client by messaging communication and is programmably arranged to generate said patient-specific inferences based on information from at least one of said plurality of executable knowledge modules.

33. The system of claim 32, wherein the messaging communication comprises XML messaging communication.

34. The system of claim 32, wherein the network server is programmably arranged as a servlet hosted by a servlet container.

35. The system of claim 32, wherein the network server is programmably arranged to include a standards-based patient information model.

36. The system of claim 3, wherein patients are modeled in the patient information model as entities described by data elements including act data and demographic data.

37. The system of claim 36, wherein the act data include health care service data selected from the group comprising encounters, encounter diagnoses, problem list entries, procedures, observations, goals, medication orders, program enrollments, provider assignments, invoices, and past executable knowledge module results.

38. The system of claim 36, wherein the act data include health care service data selected from the group comprising health care service encounter data, diagnostic data and intervention data.

39. The system of claim 36, wherein the demographic data include at least one of patient gender, race(s), age and birth date.

40. The system of claim 34, wherein the servlet is programmably arranged to include a standards-based patient information model.

41. The system of claim 35, wherein the standards-based patient information model includes at least part of the HL7 Reference Information Model (RIM).

42. The system of claim 3, wherein each of the executable knowledge modules includes a maintenance section, a library section, a knowledge section and a logic section.

43. The system of claim 3, wherein the executable knowledge modules use vocabularies included in the National Library of Medicine'"'"'s Unified Medical Language System (UMLS).

44. The system of claim 1, adapted to provide a patient evaluation service.

45. The system of claim 3, adapted to provide a patient evaluation service.

46. The system of claim 42, wherein the maintenance section includes at least one of title, identifier, version number, and authors.

47. The system of claim 42, wherein the library section includes bibliographic information.

48. The system of claim 47, wherein the bibliographic information includes at least one of module purpose, explanation of module logic, keywords, references, and endorsing entities.

49. The system of claim 3, wherein said plurality of executable knowledge modules includes at least one executable knowledge module that is nestable within another executable knowledge module in said plurality of modules.

50. The system of claim 49, wherein said at least one nestable module is evaluated first and its results are made available to said another executable knowledge module.

51. The system of claim 3, adapted to generate a corresponding class or method in a programming language for each executable knowledge module, within which data elements corresponding to module data requirements can be accessed as programming objects.

52. The system of claim 51, wherein said programming objects are used to construct the patient-specific inferences returned by the patient evaluation service.

53. The system of claim 52, wherein said programming language is an object-oriented programming language.

54. The system of claim 53, wherein said object-oriented programming language is Java.

55. The system of claim 1, wherein the client constructs a consolidated patient representation using data from multiple patient data sources, and has said consolidated patient representation evaluated by the patient evaluation service.

56. The system of claim 3, wherein the client constructs a consolidated patient representation using data from multiple patient data sources, and has said consolidated patient representation evaluated by the patient evaluation service.

57. The system of claim 1, wherein said patient evaluation request is accompanied by a minimum data set required by the network server for evaluating the patient.

58. The system of claim 3, wherein said patient evaluation request is accompanied by a minimum data set required by the network server for evaluating the patient.

59. The system of claim 1, wherein said patient evaluation request is accompanied by a superset of the data required by the network server for evaluating the patient.

60. The system of claim 3, wherein said patient evaluation request is accompanied by a superset of the data required by the network server for evaluating the patient.

61. The system of claim 1, wherein said patient evaluation request is accompanied by additional relevant data, including at least one of context data and client preference data.

62. The system of claim 3, wherein said patient evaluation request is accompanied by additional relevant data, including at least one of context data and client preference data.

63. The system of claim 1, wherein said data requirements for knowledge modules can include at least one of context data and client preference data.

64. The system of claim 3, wherein said data requirements for knowledge modules can include at least one of context data and client preference data.

65. The system of claim 1, adapted for population health management of a patient population.

66. The system of claim 3, adapted for population health management of a patient population.

67. The system of claim 65, adapted for population health management of patients who are Medicaid beneficiaries.

68. The system of claim 66, adapted for population health management of patients who are Medicaid beneficiaries.

69. The system of claim 65, adapted to identify issues of concern with said population.

70. The system of claim 66, adapted to identify issues of concern with said population.

71. The system of claim 69, wherein said issues of concern include at least one issue selected from the group comprising overdue preventive care needs, suboptimal chronic disease management, and inappropriate utilization of health care resources.

72. The system of claim 70, wherein said issues of concern include at least one issue selected from the group comprising overdue preventive care needs, suboptimal chronic disease management, and inappropriate utilization of health care resources.

73. The system of claim 1, adapted to provide patients'"'"' primary care clinics with reports that list the patients most in need of services, along with identified care needs and recommended actions.

74. The system of claim 3, adapted to provide patients'"'"' primary care clinics with reports that list the patients most in need of services, along with identified care needs and recommended actions.

75. The system of claim 1, adapted to provide alerts to health care providers regarding care issues requiring follow-up.

76. The system of claim 3, adapted to provide alerts to health care providers regarding care issues requiring follow-up.

77. The system of claim 1, adapted to generate care reminder letters for patients.

78. The system of claim 3, adapted to generate care reminder letters for patients.

79. The system of claim 1, adapted to provide disease management recommendations in an outpatient setting.

80. The system of claim 3, adapted to provide disease management recommendations in an outpatient setting.

81. A clinical decision network system, comprising a clinical decision support system as claimed in claim 1, a client including one or more client applications and one or more patient data sources, and a network interconnecting the network server and client for communication with one another.

82. A clinical decision network system, comprising a clinical decision support system as claimed in claim 3, a client including one or more client applications and one or more patient data sources, and a network interconnecting the network server and client for communication with one another.

83. The clinical decision network system of claim 81, wherein the client application is comprised in a medical information system of a medical care facility.

84. The clinical decision network system of claim 82, wherein the client application is comprised in a medical information system of a medical care facility.

85. A method of providing clinical decision support in a medical care facility, comprising use of a clinical decision support system as claimed in claim 1 for network support of a clinical client associated with said medical care facility.

86. A method of providing clinical decision support in a medical care facility, comprising use of a clinical decision support system as claimed in claim 3 for network support of a clinical client associated with said medical care facility.

87. The method of claim 85, wherein said clinical client is comprised in a medical information system of said medical care facility.

88. The method of claim 86, wherein said clinical client is comprised in a medical information system of said medical care facility.

89. A method of health care services delivery, comprising providing a Web service for clinical decision support, in which said Web service comprises use of a clinical decision support system as claimed in claim 1.

90. A method of health care services delivery, comprising providing a Web service for clinical decision support, in which said Web service comprises use of a clinical decision support system as claimed in claim 3.

91. The method of claim 89, wherein said clinical decision support system is adapted to provide at least one service selected from the group comprising:

(1) services that identify knowledge modules that meet client search criteria;

(2) services that provide descriptions of selected knowledge modules, including descriptions of results that will be returned following patient evaluation; and

(3) services that specify data requirements for a set of knowledge modules.

92. The method of claim 90, wherein said clinical decision support system is adapted to provide at least one service selected from the group comprising:

(1) services that identify knowledge modules that meet client search criteria;

(2) services that provide descriptions of selected knowledge modules, including descriptions of results that will be returned following patient evaluation; and

(3) services that specify data requirements for a set of knowledge modules.

93. The method of claim 89, carried out for population health management for a patient population.

94. The method of claim 90, carried out for population health management for a patient population.

95. The method of claim 93, further comprising providing patients'"'"' primary care clinics with reports generated by use of the clinical decision support system, that list the patients most in need of services, along with identified care needs and recommended actions.

96. The method of claim 94, further comprising providing patients'"'"' primary care clinics with reports generated by use of the clinical decision support system, that list the patients most in need of services, along with identified care needs and recommended actions.

97. The method of claim 93, further comprising distribution of alerts generated by use of the clinical decision support system to health care providers regarding care issues requiring follow-up.

98. The method of claim 94, further comprising distribution of alerts generated by use of the clinical decision support system to health care providers regarding care issues requiring follow-up.

99. The method of claim 93, further comprising generating care reminder letters for patients in English and, when applicable, in Spanish, by use of the clinical decision support system.

100. The method of claim 94, further comprising generating care reminder letters for patients in English and, when applicable, in Spanish, by use of the clinical decision support system.

108. The system of claim 2, wherein said network server is programmably coupled with at least one executable knowledge module comprising (i) a specification of the data required for assessing a patient using the module, (ii) a description of the patient-specific conclusions that can be drawn from using that data, and (iii) instructional logic utilized to generate the patient-specific conclusions using the specified patient data.

109. The system of claim 1, wherein said communications utilize HL7 information content.

110. The system of claim 3, wherein said communications utilize HL7 information content.

111. The system of claim 1, wherein said communications utilize information content derived from a standard information model.

112. The system of claim 3, wherein said communications utilize information content derived from a standard information model.

113. The system of claim 111, wherein said information model includes at least part of the HL7 Reference Information Model (RIM).

114. The system of claim 112, wherein said information model includes at least part of the HL7 RIM.

115. The system of claim 32, wherein the network server is programmably arranged to communicate utilizing information content derived from a standard information model.

116. The system of claim 115, wherein the standard information model includes at least part of the HL7 RIM.

117. The system of claim 3, wherein each of the executable knowledge modules is associated with one or more traits that can be used to characterize the knowledge module or to identify knowledge modules of interest.

118. The system of claim 117, wherein knowledge module traits include at least one of identifier, version number, authors, module purpose, explanation of module logic, and keywords.

119. The system of claim 1, wherein the client obtains required data from multiple data sources, and has said required data evaluated by the patient evaluation service.

120. The system of claim 3, wherein the client obtains required data from multiple data sources, and has said required data evaluated by the patient evaluation service.

121. The method of claim 91, wherein said services that specify data requirements for a set of knowledge modules combine similar data requirements into consolidated data requirements.

122. The method of claim 92, wherein said services that specify data requirements for a set of knowledge modules combine similar data requirements into consolidated data requirements.

124. The system of claim 1, wherein the system is adapted to fulfill the requirements of the HL7 Decision Support Service specification.

125. The system of claim 3, wherein the system is adapted to fulfill the requirements of the HL7 Decision Support Service specification.

126. The system of claim 1, wherein the system is adapted to evaluate a group of patients rather than a single patient.

127. The system of claim 3, wherein the system is adapted to evaluate a group of patients rather than a single patient.

21. The system of claim 21, wherein said patient information model includes at least part of the HL7 RIM.

101. A method for implementing clinical decision support systems, comprising providing a framework for a clinical decision-support Web service, wherein said framework includes a plurality of executable knowledge modules (EKMs) that define the data requirements for assessing a patient, the conclusions that can be drawn using that data, and instructions on how to generate those conclusions.

102. The method of claim 101, further comprising transmitting decision support communications via a network to a clinical client coupled in communication with the network, in response to decision support requests from the clinical client.

103. The method of claim 102, wherein said decision-support communications are transmitted by said framework to the clinical client by standards-based communication messaging.

104. The method of claim 102, wherein said framework further comprises a servlet for generating said patient-specific conclusions based on information from at least one of said plurality of executable knowledge modules.

105. The method of claim 104, wherein each of the executable knowledge modules includes a maintenance section, a library section, a knowledge section and a logic section.

106. The method of claim 104, adapted to provide at least one Web service selected from the group comprising:

(1) services that identify executable knowledge modules that meet client search criteria;

(2) services that provide descriptions of selected executable knowledge modules, including descriptions of results that will be returned following patient evaluation; and

(3) services that specify data requirements for a set of executable knowledge modules.

123. The method of claim 106, wherein said services that specify data requirements for a set of knowledge modules combine similar data requirements into consolidated data requirements.

107. A framework for implementing clinical decision support systems, comprising a plurality of executable knowledge modules (EKMs) that define the data requirements for assessing a patient, the conclusions that can be drawn using that data, and instructions on how to generate those conclusions, said framework being adapted for implementation of a Web service providing clinical decision support to a client in communication with said framework.