Standards and specifications in pathology: image management, report management and terminology.

For making medical decisions, healthcare professionals require that all necessary information is both correct and easily available. Collaborative Digital Anatomic Pathology refers to the use of information technology that supports the creation and sharing or exchange of information, including data and images, during the complex workflow performed in an Anatomic Pathology department from specimen reception to report transmission and exploitation. Collaborative Digital Anatomic Pathology is supported by standardization efforts toward knowledge representation for sharable and computable clinical information. The goal of the international integrating the Healthcare Enterprise (IHE) initiative is precisely specifying how medical informatics standards should be implemented to meet specific health care needs and making systems integration more efficient and less expensive. The IHE Anatomic Pathology initiative was launched to implement the best use of medical informatics standards in order to produce, share and exchange machine-readable structured reports and their evidences (including whole slide images) within hospitals and across healthcare facilities. DICOM supplements 122 and 145 provide flexible object information definitions dedicated respectively to specimen description and WSI acquisition, storage and display. The profiles "Anatomic Pathology Reporting for Public Health" (ARPH) and "Anatomic Pathology Structured Report" (APSR) provide standard templates and transactions for sharing or exchanging structured reports in which textual observations - encoded using PathLex, an international controlled vocabulary currently being mapped to SNOMED CT concepts - may be bound to digital images or regions of interest in images. Current implementations of IHE Anatomic Pathology profiles in North America, France and Spain demonstrate the applicability of recent advances in standards for Collaborative Digital Anatomic Pathology. The use of machine-readable format of Anatomic Pathology information supports the development of computer-based decision support as well as secondary use of Anatomic Pathology information for research or public health.

Integrating the Health-care Enterprise Pathology and Laboratory Medicine Guideline for Digital Pathology Interoperability.

Integrating the health-care enterprise (IHE) is an international initiative to promote the use of standards to achieve interoperability among health information technology systems. The Pathology and Laboratory Medicine domain within IHE has brought together subject matter experts, electronic health record vendors, and digital imaging vendors, to initiate development of a series of digital pathology interoperability guidelines, called "integration profiles" within IHE. This effort begins with documentation of common use cases, followed by identification of available data and technology standards best utilized to achieve those use cases. An integration profile that describes the information flow and technology interactions is then published for trial use. Real world testing occurs in "connectathon" events, in which multiple vendors attempt to connect their products following the interoperability guidance parameters set forth in the profile. This paper describes the overarching set of integration profiles, one of which has been published, to support key digital pathology use cases.

HL7 CDA implementation guide for structured anatomic pathology reports methodology and tools.

UNLABELLED: Anatomic pathology reports (APR) provide diagnostic and prognostic information crucial to patient care, clinical research and epidemiology. Currently, it is difficult to collect and exchange APR data between different healthcare organizations at an international level. OBJECTIVE: IHE and HL7 anatomic pathology joint efforts aim at providing a methodology and tools to define an international HL7 "Clinical Document Architecture" (CDA) implementation guide for APRs and especially in the domain of cancer. METHODS: A four-step methodology is employed, consisting of comparing existing clinical model of APRs originating from different countries; deriving consensus-based clinical models (Delphi technique); providing the corresponding HL7 CDA implementation guide ("CDA templates") and validating these templates. RESULTS: International experts defined HL7 CDA implementation guides for breast and colon cancer APRs within an IHE content profile. CDA templates include required data elements, as well as optional ones, that can be further specified as required in national extensions. CONCLUSION: This study demonstrates that it is possible to define an international HL7 CDA implementation guide for cancer APRs. Further efforts are needed to provide CDA templates for approximately 60 other cancer APRs dedicated to different organs, diagnoses, and procedures as well as for APRs of non neoplastic pathologies. The methodology is not confined to APRs and could be applied to clinical documents of any type.

HL7's comprehensive standards set and its international collaboration for enabling semantically interoperable eHealth and pHealth solutions.

The workshop is organized by HL7 and its affiliates to present and to discuss HL7's activities for providing international standards and specifications to enable advanced semantically interoperable eHealth and pHealth solutions, adaptable to national health systems through localization. The workshop especially focuses on the multi-disciplinary structure of HL7 and its liaisons with international and national standards developing organizations as well as important health informatics initiatives. Demonstrating existing and emerging solutions and strategies within HL7's broad scope and spectrum, the international scope of HL7 standards is highlighted.

Recent advances in standards for Collaborative Digital Anatomic Pathology.

CONTEXT: Collaborative Digital Anatomic Pathology refers to the use of information technology that supports the creation and sharing or exchange of information, including data and images, during the complex workflow performed in an Anatomic Pathology department from specimen reception to report transmission and exploitation. Collaborative Digital Anatomic Pathology can only be fully achieved using medical informatics standards. The goal of the international integrating the Healthcare Enterprise (IHE) initiative is precisely specifying how medical informatics standards should be implemented to meet specific health care needs and making systems integration more efficient and less expensive. OBJECTIVE: To define the best use of medical informatics standards in order to share and exchange machine-readable structured reports and their evidences (including whole slide images) within hospitals and across healthcare facilities. METHODS: Specific working groups dedicated to Anatomy Pathology within multiple standards organizations defined standard-based data structures for Anatomic Pathology reports and images as well as informatic transactions in order to integrate Anatomic Pathology information into the electronic healthcare enterprise. RESULTS: The DICOM supplements 122 and 145 provide flexible object information definitions dedicated respectively to specimen description and Whole Slide Image acquisition, storage and display. The content profile "Anatomic Pathology Structured Report" (APSR) provides standard templates for structured reports in which textual observations may be bound to digital images or regions of interest. Anatomic Pathology observations are encoded using an international controlled vocabulary defined by the IHE Anatomic Pathology domain that is currently being mapped to SNOMED CT concepts. CONCLUSION: Recent advances in standards for Collaborative Digital Anatomic Pathology are a unique opportunity to share or exchange Anatomic Pathology structured reports that are interoperable at an international level. The use of machine-readable format of APSR supports the development of decision support as well as secondary use of Anatomic Pathology information for epidemiology or clinical research.