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Biomedical subjects

James H Harrison

Publications and source records attributed to James H Harrison.

6 recordsLinked to original sources

Definition of an XML markup language for clinical laboratory procedures and comparison with generic XML markup.

BACKGROUND: Clinical laboratory procedure manuals are typically maintained as word processor files and are inefficient to store and search, require substantial effort for review and updating, and integrate poorly with other laboratory information. Electronic document management systems could improve procedure management and utility. As a first step toward building such systems, we have developed a prototype electronic format for laboratory procedures using Extensible Markup Language (XML). METHODS: Representative laboratory procedures were analyzed to identify document structure and data elements. This information was used to create a markup vocabulary, CLP-ML, expressed as an XML Document Type Definition (DTD). To determine whether this markup provided advantages over generic markup, we compared procedures structured with CLP-ML or with the vocabulary of the Health Level Seven, Inc. (HL7) Clinical Document Architecture (CDA) narrative block. RESULTS: CLP-ML includes 124 XML tags and supports a variety of procedure types across different laboratory sections. When compared with a general-purpose markup vocabulary (CDA narrative block), CLP-ML documents were easier to edit and read, less complex structurally, and simpler to traverse for searching and retrieval. CONCLUSION: In combination with appropriate software, CLP-ML is designed to support electronic authoring, reviewing, distributing, and searching of clinical laboratory procedures from a central repository, decreasing procedure maintenance effort and increasing the utility of procedure information. A standard electronic procedure format could also allow laboratories and vendors to share procedures and procedure layouts, minimizing duplicative word processor editing. Our results suggest that laboratory-specific markup such as CLP-ML will provide greater benefit for such systems than generic markup.

Clinical Laboratory Information Systems↗

Caring Connection: developing an Internet resource for family caregivers of children with cancer.

This poster will describe the development of a family-focused, web-based resource, the "Caring Connection", designed to provide individualized clinical information, patient-centered information resources, and access to online family-provider and family-to-family communication for caregivers of children with cancer. Data from structured interviews with family caregivers and healthcare providers describe their current Internet use and information needs. Website prototype development and user testing provide additional insights that are informing the ongoing design of the "Caring Connection" website.

Caregivers↗

Pathology informatics questions and answers from the University of Pittsburgh pathology residency informatics rotation.

CONTEXT: Effective pathology practice increasingly requires familiarity with concepts in medical informatics that may cover a broad range of topics, for example, traditional clinical information systems, desktop and Internet computer applications, and effective protocols for computer security. To address this need, the University of Pittsburgh (Pittsburgh, Pa) includes a full-time, 3-week rotation in pathology informatics as a required component of pathology residency training. OBJECTIVE: To teach pathology residents general informatics concepts important in pathology practice. DESIGN: We assess the efficacy of the rotation in communicating these concepts using a short-answer examination administered at the end of the rotation. Because the increasing use of computers and the Internet in education and general communications prior to residency training has the potential to communicate key concepts that might not need additional coverage in the rotation, we have also evaluated incoming residents' informatics knowledge using a similar pretest. DATA SOURCES: This article lists 128 questions that cover a range of topics in pathology informatics at a level appropriate for residency training. These questions were used for pretests and posttests in the pathology informatics rotation in the Pathology Residency Program at the University of Pittsburgh for the years 2000 through 2002. With slight modification, the questions are organized here into 15 topic categories within pathology informatics. The answers provided are brief and are meant to orient the reader to the question and suggest the level of detail appropriate in an answer from a pathology resident. RESULTS: A previously published evaluation of the test results revealed that pretest scores did not increase during the 3-year evaluation period, and self-assessed computer skill level correlated with pretest scores, but all pretest scores were low. Posttest scores increased substantially, and posttest scores did not correlate with the self-assessed computer skill level recorded at pretest time. CONCLUSIONS: Even residents who rated themselves high in computer skills lacked many concepts important in pathology informatics, and posttest scores showed that residents with both high and low self-assessed skill levels learned pathology informatics concepts effectively.

Internship and Residency↗

Informatics training in pathology residency programs: proposed learning objectives and skill sets for the new millennium.

CONTEXT: To be successful in tomorrow's health care environment, to make the most appropriate decisions for their laboratories, to optimize training and continuing medical education opportunities, and to advance pathology as a professional specialty, pathologists must possess basic informatics knowledge and proficiency. Traditional areas of anatomic and clinical pathology residency training employ learning objectives, knowledge expectations, and skill sets, but such items have not been as well developed or widely implemented for pathology informatics training. OBJECTIVE: We present a proposal that defines a standard and specific set of learning (knowledge) objectives and skill set (proficiency) expectations for resident training in pathology informatics. DESIGN: The proposal includes a comprehensive and detailed set of knowledge applications and proficiencies that will assist residency programs in developing basic pathology informatics training for residents. The content of the proposal is based on and compiled from existing successful pathology informatics training programs. Learning objectives include those related to general and enterprise computing as well as objectives related specifically to pathology informatics. Skill set expectations include the ability to use software that facilitates and adds value to the work of pathologists, including the use of a laboratory information system and of productivity software and other tools. Other topics include guidelines for evaluating residents' informatics competency, suggestions regarding curriculum structure and implementation, and recommendations for residents' computing infrastructure. CONCLUSION: This proposal provides a foundation for building effective and standard curricula for residency training in pathology informatics. These curricula will be able to meet increasing expectations and needs for pathologists to contribute to clinical information management.

Clinical Competence↗

Training in pathology informatics: implementation at the University of Pittsburgh.

CONTEXT: Pathology informatics is generally recognized as an important component of pathology training, but the scope, form, and goals of informatics training vary substantially between pathology residency programs. The Training and Education Committee of the Association for Pathology Informatics (API TEC) has developed a standard set of knowledge and skills objectives that are recommended for inclusion in pathology informatics training and may serve to standardize and formalize training programs in this area. OBJECTIVE: The University of Pittsburgh (Pittsburgh, Pa) core rotation in pathology informatics includes most of these goals and is offered as an implementation model for pathology informatics training. DESIGN: The core rotation in pathology informatics is a 3-week, full-time rotation including didactic sessions and hands-on laboratories. Topics include general desktop computing and the Internet, but the primary focus of the rotation is vocabulary and concepts related to enterprise and pathology information systems, pathology practice, and research. The total contact time is 63 hours, and a total of 19 faculty and staff contribute. Pretests and posttests are given at the start and end of the rotation. Performance and course evaluation data were collected for 3 years (a total of 21 residents). RESULTS: The rotation implements 84% of the knowledge objectives and 94% of the skills objectives recommended by the API TEC. Residents scored an average of about 20% on the pretest and about 70% on the posttest for an average increase during the course of 50%. Posttest scores did not correlate with pretest scores or self-assessed computer skill level. The size of the pretest/posttest difference correlated negatively with the pretest scores and self-assessed computing skill level. CONCLUSIONS: Pretest scores were generally low regardless of whether residents were familiar with desktop computing and productivity applications, indicating that even residents who are computer "savvy" have limited knowledge of pathology informatics topics. Posttest scores showed that all residents' knowledge increased substantially during the course and that residents who were computing novices were not disadvantaged. In fact, novices tended to have higher pretest/posttest differences, indicating that the rotation effectively supported initially less knowledgeable residents in "catching up" to their peers and achieving an appropriate competency level. This rotation provides a formal training model that implements the API TEC recommendations with demonstrated success.

Clinical Competence↗

XML syntax for clinical laboratory procedure manuals.

We have developed a document type description (DTD) in Extensable Markup Language (XML) for clinical laboratory procedures. Our XML syntax can adequately structure a variety of procedure types across different laboratories and is compatible with current procedure standards. The combination of this format with an XML content management system and appropriate style sheets will allow efficient procedure maintenance, distributed access, customized display and effective searching across a large body of test information.

Clinical Laboratory Techniques↗