Information and communication technologies (ICT) are contributing to major changes taking place in pathology and within health services more generally. In this article, we draw on our research experience for over 7 years investigating the implementation and diffusion of computerized provider order entry (CPOE) systems to articulate some of the key informatics challenges confronting pathology laboratories. The implementation of these systems, with their improved information management and decision support structures, provides the potential for enhancing the role that pathology services play in patient care pathways. Beyond eliminating legibility problems, CPOE systems can also contribute to the efficiency and safety of healthcare, reducing the duplication of test orders and diminishing the risk of misidentification of patient samples and orders. However, despite the enthusiasm for CPOE systems, their diffusion across healthcare settings remains variable and is often beset by implementation problems. Information systems like CPOE may have the ability to integrate work, departments and organizations, but unfortunately, health professionals, departments and organizations do not always want to be integrated in ways that information systems allow. A persistent theme that emerges from the research evidence is that one size does not fit all, and system success or otherwise is reliant on the conditions and circumstances in which they are located. These conditions and circumstances are part of what is negotiated in the complex, messy and challenging area of ICT implementation. The solution is not likely to be simple and easy, but current evidence suggests that a combination of concerted efforts, better research designs, more sophisticated theories and hypotheses as well as more skilled, multidisciplinary research teams, tackling this area of study will bring substantial benefits, improving the effectiveness of pathology services, and, as a direct corollary, the quality of patient care.

Background: The need for informatics training as part of pathology training has never been so critical, but pathology informatics is a wide and complex field and very few programs currently have the resources to provide comprehensive educational pathology informatics experiences to their residents. In this article, we present the "pathology informatics curriculum wiki", an open, on-line wiki that indexes the pathology informatics content in a larger public wiki, Wikipedia, (and other online content) and organizes it into educational modules based on the 2003 standard curriculum approved by the Association for Pathology Informatics (API). Methods and Results: In addition to implementing the curriculum wiki at http://pathinformatics.wikispaces.com, we have evaluated pathology informatics content in Wikipedia. Of the 199 non-duplicate terms in the API curriculum, 90% have at least one associated Wikipedia article. Furthermore, evaluation of articles on a five-point Likert scale showed high scores for comprehensiveness (4.05), quality (4.08), currency (4.18), and utility for the beginner (3.85) and advanced (3.93) learners. These results are compelling and support the thesis that Wikipedia articles can be used as the foundation for a basic curriculum in pathology informatics. Conclusions: The pathology informatics community now has the infrastructure needed to collaboratively and openly create, maintain and distribute the pathology informatics content worldwide (Wikipedia) and also the environment (the curriculum wiki) to draw upon its own resources to index and organize this content as a sustainable basic pathology informatics educational resource. The remaining challenges are numerous, but largest by far will be to convince the pathologists to take the time and effort required to build pathology informatics content in Wikipedia and to index and organize this content for education in the curriculum wiki.

Background: Tissue microarrays (TMAs) are enormously useful tools for translational research, but incompatibilities in database systems between various researchers and institutions prevent the efficient sharing of data that could help realize their full potential. Resource Description Framework (RDF) provides a flexible method to represent knowledge in triples, which take the form Subject- Predicate-Object. All data resources are described using Uniform Resource Identifiers (URIs), which are global in scope. We present an OWL (Web Ontology Language) schema that expands upon the TMA data exchange specification to address this issue and assist in data sharing and integration. Methods: A minimal OWL schema was designed containing only concepts specific to TMA experiments. More general data elements were incorporated from predefined ontologies such as the NCI thesaurus. URIs were assigned using the Linked Data format. Results: We present examples of files utilizing the schema and conversion of XML data (similar to the TMA DES) to OWL. Conclusion: By utilizing predefined ontologies and global unique identifiers, this OWL schema provides a solution to the limitations of XML, which represents concepts defined in a localized setting. This will help increase the utilization of tissue resources, facilitating collaborative translational research efforts.

Background: Electronic medical records (EMRs) provide universal access to health care information across multidisciplinary lines. In pathology departments, transfusion and apheresis medicine services (TAMS) involved in direct patient care activities produce data and documentation that typically do not enter the EMR. Taking advantage of our institution's initiative for implementation of a paperless medical record, our TAMS division set out to develop an electronic charting (e-charting) strategy within the EMR. Methods: A focus group of our hospital's transfusion committee consisting of transfusion medicine specialists, pathologists, residents, nurses, hemapheresis specialists, and information technologists was constituted and charged with the project. The group met periodically to implement e-charting TAMS workflow and produced electronic documents within the EMR (Cerner Millenium) for various service line functions. Results: The interdisciplinary working group developed and implemented electronic versions of various paper-based clinical documentation used by these services. All electronic notes collectively gather and reside within a unique Transfusion Medicine Folder tab in the EMR, available to staff with access to patient charts. E-charting eliminated illegible handwritten notes, resulted in more consistent clinical documentation among staff, and provided greater real-time review/access of hemotherapy practices. No major impediments to workflow or inefficiencies have been encountered. However, minor updates and corrections to documents as well as select work re-designs were required for optimal use of e-charting by these services. Conclusion: Documentation of pathology subspecialty activities such as TAMS can be successfully incorporated into the EMR. E-charting by staff enhances communication and helps promote standardized documentation of patient care within and across service lines. Well-constructed electronic documents in the EMR may also enhance data mining, quality improvement, and biovigilance monitoring activities.