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Meetings & Education
AMIA 2006 Annual Symposium
Tutorials
Tutorials
Tutorials - Excellence in Informatics Education The AMIA 2006 Tutorial Program will provide a learning experience filled with rich content. These 26 tutorials, taught by a faculty comprised of AMIA's widely recognized thought leaders in the field are designed to stimulate interest in the diverse body of knowledge represented by AMIA. Tutorials have been divided into four series - Primers, EHRs, Methods, and Selected Topics. Primer Series: This set of tutorials is designed to provide an introduction to key current and emerging areas in informatics and are considered essential to the core foundation of informatics theory, application, and practice. EHR Series: The time of the Electronic Health Record (EHR) is now upon us. This series of tutorials will focus on the key expertise required for individuals responsible for EHR selection, implementation, deployment, and evaluation. Methods Series: The methods series is designed for individuals looking for advanced instruction from leading experts on the procedures and techniques characteristic of the field of biomedical informatics. Selected Topics Series: This series of tutorials provides in-depth treatment of special topics in clinical and health informatics, bioinformatics, and public health informatics.
Tutorials Rates
Tutorials-at-a-Glance
Tutorial Descriptions
T01 - Saturday, November 11, 2006, 8:30 am - 4:30 pm
Content Level: 100% Basic. Download Tutorial Description (pdf) T02 - Saturday, November 11, 2006, 8:30 am - 4:30 pm Location: Thoroughbred Clinical Classifications and Biomedical Ontologies: Terminology Evolution, Principles, and Practicalities Christopher Chute, Mayo Clinic College of Medicine, Rochester, MN James J. Cimino, Columbia University, New York, NY Suzanne Bakken, Columbia University, New York, NY Standardized terminologies and classification systems are an essential component of the information infrastructure that supports health care delivery and evaluation. Despite significant advances and increased motivation for the use of terminology systems, widespread integration of standardized terminologies into computer-based systems has not yet occurred. In this tutorial, we provide an overview of the state of the science related to terminologies and classification systems and demonstrate application of selected terminologies to a patient case study to highlight the strengths and weaknesses of various terminologies. Standardized terminologies alone are insufficient to achieve semantic interoperability. Consequently, the tutorial will include content designed to elucidate the relationships among standards for terminologies, information models, messages, and document and record structures. In addition, we will demonstrate the use of advanced terminology tools that facilitate the use of standardized terms in computer-based systems and provide an overview of significant international and national initiatives related to terminology systems. By the end of the tutorial, participants will be able to:
Content level: 50% basic / 50% intermediate Download Tutorial Description (pdf) T03 - Saturday, November 11, 2006, 8:30 am - 12:00 pm Location: Jefferson East PACS - Digital Medical Image Management Paul J. Chang, University of Pittsburgh, Pittsburgh, PA This tutorial will provide an introduction to medical digital image management, PACS (Picture Archiving and Communication Systems), and other related topics in radiology informatics. Domain specific challenges and currently used architectures will be discussed from a medical informatics perspective. The tutorial will include an introduction to acquisition devices, image archive design, workstations, and workflow models. The importance of interface standards and initiatives such as HL7, DICOM, and IHE will be discussed. The importance of a comprehensive informatics workflow model for image management and decision support will also be emphasized. The requirement for an enterprise perspective with respect to medical imaging including ubiquitous distribution and incorporation of non-radiology and visible light images (cardiology, pathology, endoscopy, dermatology, etc.) will be presented. Strategies for integration of medical images into the multimedia-enabled electronic health record will be discussed. By the end of the tutorial, participants will be able to:
Content level: 60% basic / 40% intermediate. Download Tutorial Description (pdf) T04 - Saturday, November 11, 2006, 8:30 am - 12:00 pm Location: Lincoln West Information Security in Health Care: Processes and Technology Soumitra Sengupta, NewYork-Presbyterian Hospital, Columbia University Medical Center, and Columbia University, New York, NY Information security has always been an important concept in health care environment from a clinical perspective, and recently has been highlighted by Health Insurance Portability and Accountability Act (HIPAA) Security regulation enactment in April 2005. The processes and technology of Information security, however, are equally applicable for other functions in a health care facility, including research, education and other scholarly functions, as well as financial and business management. This tutorial looks at unique information asset types in health care and their value, presents possible risk analysis and management methods, considers processes that permit institutional compliance and local flexibilities, describes technologies that resolve global infrastructural issues as well as point solutions, and helps find solutions that achieve a safe and secure information architecture without limiting business functions. Specifically, we will engage in discussion and presentation of both technology and procedures, with risks as well as real incidents that motivate the choices for the same. A focal concern will be how to leverage security solutions to demonstrate better operational quality and to present evidence for information systems best practices. By the end of the tutorial, participants will be able to:
Content level: 100% basic Download Tutorial Description (pdf) T05 - Saturday, November 11, 2006, 8:30 am - 12:00 pm Location: Lincoln East Semantic Web for Health Care and Life Sciences Olivier Bodenreider , National Library of Medicine, NIH, Bethesda, Maryland Vipul Kashyap, Partners HealhCare System, Boston, Massachusetts Eric Neumann, Teranode, Seattle, Washington and W3C Biomedical research and healthcare clinical transactions are generating huge volumes of information. Biomedical research literature doubles every 19 years and AIDS literature in particular doubles every 22 months. Biomedical research is now an information based science marked by factory-scale sequencing generating huge amounts of data. A clinician, on the other hand, needs approximately 2 million facts to practice. Information and knowledge play a critical role in the flow of innovation from and to biomedical research and clinical practice, with information overload resulting in a slow innovation adoption curve in healthcare. Patients receive only 54.9% of recommended care, and it takes from 10 to 17 years for new discoveries to be routinely used. The problem is likely to be magnified with the advent of information created by molecular and genomic medicine. During the last decade, the World Wide Web has been tremendously successful in enabling the dissemination of information in various domains including Biomedicine. However, the content of today's Web is essentially meant to be processed by humans, not autonomous computational agents. The Semantic Web addresses precisely this limitation. In order to make the Web content machine accessible and processable, the Semantic Web relies on metadata and ontologies to support the semantic markup of resources as well as logical reasoning. The Semantic Web represents an emerging set of technologies enabling interoperability among systems and resources. The Semantic Web addresses the challenges of representing, storing, exchanging and reusing data and is therefore highly relevant to Biomedicine. By the end of the tutorial, participants will be able to:
Content Level: 50% basic / 50% intermediate Download Tutorial Description (pdf) T06 - Saturday, November 11, 2006, 8:30 am - 12:00 pm Location: Georgetown West Evaluating Health IT Projects: A Practical Approach Eric G. Poon MD, MPH, Brigham and Women's Hospital, Partners Healthcare, Boston, MA Dan Gaylin, National Opinion Resource Center, Washington DC Caitlin M. Cusack MD MPH, Center for IT Leadership, Partners Healthcare, Boston, MA For years, health IT (HIT) has been implemented with the goals of improving clinical care processes, health care quality, and patient safety. In short, it's been viewed as the right thing to do. In those early days, evaluation took a back seat to project work. Frequently, evaluations were not performed at all - at a tremendous loss to the health IT field. Given the large investment required for HIT projects, our stakeholders are increasingly demanding to know both the actual and future value of these projects. As a field we are moving away from talking about theoretical value, to a place where we must measure real value. Isolated studies and anecdotal evidence are not enough - not for our stakeholders, nor for the health care community at large. Evaluations must be viewed as an integral piece of every project, not as an afterthought. While much has been written about the theory of evaluation, there has been a dearth of practical real-world tools to ease the process of writing evaluation plans. As more health IT projects have kicked-off, the lack of such practical tools has become even more apparent. The instructors in this course have taken the theory of evaluating HIT, and developed a practical approach to planning and executing evaluations. The tutorial has been designed to share these tools with others as they embark on developing evaluation plans of their own. By the end of the tutorial, participants will be able to:
Content Level: 80% Basic, 20% Intermediate Download Tutorial Description (pdf) T07 - Saturday, November 11, 2006, 8:30 am - 12:00 pm Location: Military Building Bayesian Decision Support Systems Peter J. Haug, University of Utah and Intermountain Health Care, Salt Lake City, UT Dominik Aronsky, Vanderbilt University, Nashville, TN Medical decision support systems are often required to classify patients in accordance with patterns recognized in their data. Uncertainty and missing information are an inherent characteristic of the medical domain. In contrast to rule-based systems, Bayesian systems are able to model uncertainty and missing information explicitly. The availability of large databases makes Bayesian systems attractive for creating decision support systems in the medical domain. The tutorial gives attendees a theoretical and practical introduction to Bayesian systems. Participants are provided with some basic theoretical background that is necessary for developing and understanding Bayesian systems. Theory will be balanced with hands-on experience in the construction of simple Bayesian systems (with an emphasis on Bayesian belief networks). Database requirements and evaluation techniques to assess the systems' accuracy will be discussed. A demonstration of more complicated Bayesian models as well as systems currently in use, gives participants an idea how and where systems can be applied. To participate in the hands-on exercises participants need to bring an IBM-compatible laptop. By the end of the tutorial, participants will be able to:
Content level: 20% basic / 50% intermediate / 30% advanced. Download Tutorial Description (pdf) T08 - Saturday, November 11, 2006, 8:30 am - 12:00 pm Location: Georgetown East Personal Health Records and E-health Portals Patti Brennan, University of Wisconsin-Madison, Madison, WI David Lansky, Markle Foundation, New York, NY Kenneth D. Mandl, Harvard Medical School, Boston, NY Personal health records (PHRs) complement clinical documentation by providing patients with access to subsets of their clinical records and with the health information management tools needed for self-care and effective health care utilization. E-health portals provide lay people with access to a health care systems resources, including health information, appointment scheduling and provider communication, and personal health tracking. This tutorial will introduce clinicians, systems administrators and IT developers to critical issues regarding the design and deployment of personal health records. During the tutorial, participants will have an opportunity to examine and critically evaluate existing personal health records tools, explore e-health portals, and discuss technical, ethical and policy considerations related to the deployment of personal health records tools. An update of the national environment and how it may affect individual programs will be provided: AHIC, HITSP, consumer empowerment use case and associated standards, and the health plans' initiative. By the end of the tutorial, participants will be able to:
Content Level: 50% basic | 30% intermediate | 20% advanced Download Tutorial Description (pdf) T09 - Saturday, November 11, 2006, 8:30 am - 12:00 pm Location: Monroe East Finance and Valuation of Health Care Information Technology Eric Silfen, Columbia University, New York, NY Christopher Gardner, Columbia University, New York, NY Considerable effort has been expended attempting to document the benefits of information technology investments in health care. However, there has been limited focus on a structured approach to determining the strategic value from these investments. This course is designed to introduce students to the necessary techniques, methods and models for strategic assessment and valuation of information technology and how to utilize these approaches when investing in health care information technology. Within the field of biomedical informatics, it is essential to emphasize that health care technology investments will be subjected to cost and resource utilization analysis as an integral part of any decision making process. Given the convoluted and fragmented sources of payment for health care services, and the shifting financial risk among health care stakeholders, it is necessary to enhance the biomedical informatician's capabilities to identify, analyze, determine and execute a strategic path that correctly values health care information technology investments in order to assist organizations in making the best decision(s) given these constraints. By the end of the tutorial, participants will be able to:
Content level: 30% basis / 30% intermediate / 40% advanced Download Tutorial Description (pdf) T10 - Saturday, November 11, 2006, 8:30 am - 12:00 pm Location: Monroe West Creating and Employing Enterprise Data Repositories Stanley M. Huff, University of Utah and Intermountain Health Care, Salt Lake City, UT The tutorial will focus on the history and development of Enterprise Data Repositories (EDRs), drawing from the instructor's experience with four generations of systems. The design and development of the HELP System (ca 1970), AT&T's Clinical Information System (ca 1985), the 3M Care Innovation System (ca 1995), and the current system at Intermountain Health Care will be discussed. The motivation, goals, and assumptions that underlie the systems will be explored, and details of alternative system designs used in actual systems will be explained. Limitations of previous implementations and the lessons learned from using and maintaining the various EDRs will be presented. The instructor will argue that standards (infrastructure, data exchange, terminology, service APIs) are essential for creating interoperable EDR systems, and that such systems should be built using a modular standards based approach. By the end of the tutorial, participants will be able to:
Content level: 100% intermediate Download Tutorial Description (pdf) T11 - Saturday, November 11, 2006, 1:00 pm - 4:30 pm Location: Jefferson East Natural Language Processing (NLP) in Biomedicine Stephen B. Johnson, Columbia University, New York, NY This tutorial offers a basic primer on the automated processing of natural language data (textual data) in biomedicine. The tutorial will provide some basic linguistic theory as well as insight into how computers can help manage information carried by language. Exercises give attendees an appreciation of the complexities of biomedical language as well as experience with some basic empirical methods to address these. By the end of the tutorial, participants will be able to:
Content level: 70% basic / 20% intermediate / 10% advanced. Download Tutorial Description (pdf) T12 - Saturday, November 11, 2006, 1:00 pm - 4:30 pm Location: Thoroughbred Unified Medical Language System UMLS ® Overview Jan Willis, UMLS Support, National Library of Medicine, Bethesda, MD Rachel Kleinsorge, UMLS Training Coordinator, National Library of Medicine, Bethesda, MD and Additional NLM UMLS experts will speak briefly on their areas of expertise The purpose of NLM’s Unified Medical Language System® (UMLS®) is to facilitate the development of computer systems that behave as if they “understand” the meaning of the language of biomedicine and health. Toward that end, NLM produces and distributes the UMLS Knowledge Sources (databases) and software tools (programs) for use by system developers. The UMLS Metathesaurus serves as an official distribution vehicle for HIPAA standard code sets and US government target clinical vocabulary standards. This course provides an overview of UMLS Knowledge Sources and associated programs, including the Metathesaurus, a database of 1 million+ concepts from over 100 biomedical vocabularies, the Semantic Network, used to categorize all concepts in the Metathesaurus and help interpret meaning, and the SPECIALIST Lexicon and lexical tools, used to process text and language for clinical, research, and educational purposes. Outline of Topics:
Content level: 100% basic Download Tutorial Description (pdf) T13 - Saturday, November 11, 2006, 1:00 pm - 4:30 pm Location: Lincoln East The eXtensible Markup Language (XML) Gretchen P. Purcell, MD, PhD, Vanderbilt University, Nashville, TN The eXtensible Markup Language (XML) is a standard for characterizing the content and structure of documents and data. Both standards organizations and technology groups have adopted this language. In health care, XML has been used for diverse applications from representing and exchanging patient data in medical record systems to publishing clinical knowledge in electronic information resources. This tutorial provides a rapid, but comprehensive introduction to the concept of markup languages and the syntax of XML. Participants will learn to encode documents with the basic components of XML and to define information structures using document type definitions (DTDs) and schemas. Tools for processing and displaying XML documents, including cascading style sheets (CSS) and the eXtensible Style Language (XSL), will be described. Attendees will participate in short exercises to reinforce XML concepts, and the lessons will incrementally develop a small XML application. This tutorial will be valuable to individuals who are involved in sharing, distributing, or processing clinical information and want a thorough understanding of the syntax and functionality of XML. By the end of the tutorial, participants will be able to:
Content level: 25% basic / 50% intermediate / 25% advanced. Download Tutorial Description (pdf) T14 - Saturday, November 11, 2006, 1:00 pm - 4:30 pm Location: Georgetown West Clinical Decision Support: A Practical Guide to Developing Your Program to Improve Outcomes Jerome A. Osheroff, Thomson Micromedex, Cherry Hill, NJ and University of Pennsylvania, Philadelphia, PA Jonathan M. Teich, Brigham and Women's Hospital and Harvard University, Boston, MA Eric A. Pifer, University of Pennsylvania Health System, Philadelphia, PA Dean F. Sittig, Northwest Permanente and Oregon Health and Science University, Portland, OR Robert A. Jenders, Cedars-Sinai Medical Center and the University of California, Los Angeles, CA This tutorial will provide attendees with a practical approach to developing and deploying clinical decision support (CDS) interventions that measurably improve outcomes of interest to a health care delivery organization. The following key steps, including overcoming barriers, will be examined in detail: selecting appropriate CDS goals and enhancing organizational structures needed for CDS success; surveying available organizational information systems pertinent to delivering CDS; selecting appropriate CDS interventions to accomplish the goals from a broad array of options; and developing and launching the interventions and measuring their effects. The systematic approach to CDS implementation will be presented in an interactive, "case-oriented" fashion, incorporating examples provided by tutorial leaders and participant's experiences. The course content is drawn from the tutorial leaders' award-winning book: "Improving Outcomes with Clinical Decision Support; An Implementer's Guide," and a similar successful tutorial at AMIA's '05 fall meeting. By the end of the tutorial, participants will be able to:
Content level: 100% intermediate Download Tutorial Description (pdf) T15 - Saturday, November 11, 2006, 1:00 pm - 4:30 pm Location: Monroe West Integration of Genomic, Biomedical and Clinical Databases Atul Butte, Stanford University, Stanford, CA Genome-scale experiments are now routine in academia and industry. Biologists and clinicians in top institutions are applying these new measurement modalities to basic biological and clinical samples. Analysis of these data sets is being used to characterize biological systems, identify high-yield candidate genes for further biological investigation, or quantify a patient's health risks, to just name a few tasks. The next big step for genetics and genomics is in associating this high-bandwidth molecular biological data with human phenotypic data, and the largest source of structured human phenotypic data is in the clinical record. This tutorial is designed to teach the basics of the various bioinformatics types of data and methodologies currently used in genomics research, and how these can interface with clinical data. This tutorial will address the hypotheses one can start with by integrating molecular biological data with clinical data, and will show how to implement systems to address these hypotheses. The tutorial will cover real-world case-studies of how genetic, genomics, and proteomic data has been integrated with clinical data. By the end of the tutorial, participants will be able to:
Content level: 20% basic / 50% intermediate / 30% advanced Download Tutorial Description (pdf) T16 Saturday, November 11, 1:00 pm - 4:30 pm Location: Military A Primer on Health Level Seven - HL7 Charles Jaffe, SAIC, West Chester, PA Doug Fridsma, University of Pittsburgh, Pittsburgh, PA Health Level Seven is one of several American National Standards Institute (ANSI) -accredited Standards Developing Organizations (SDOs) operating in the health care arena. Most SDOs produce standards (sometimes called specifications or protocols) for a particular health care domain such as pharmacy, medical devices, imaging or insurance (claims processing) transactions. Health Level Seven's domain is clinical and administrative data. This tutorial will provide an introduction to how HL7 is structured, how clinical information and administrative data is expressed, and how knowledge of HL7 can be applied in individual projects and practice settings. Topics include:
Content Level: 60% basic | 30% intermediate | 10% advanced Download Tutorial Description (pdf) T17 - Saturday, November 11, 2006, 1:00 pm - 4:30 pm Location: Lincoln West Clinical Data for Clinical Research Shawn Murphy, Massachusetts General Hospital, Boston, MA Using data collected in the clinical care domain for clinical research poses many challenges. Clinical data is diverse in structure and reliability. It is generated in truly massive quantities, but for consumption mostly by human eyes, not by machines. To be useful for clinical research, the data must usually be transformed to a machine readable format. Considerations of sensitivity and specificity must be considered when performing these transformations. One then needs a systematic approach to organizing the data such that queries can be generated against seemingly disparate data. This usually translates into finding a suitable "atomic fact" and organizing the data into these discrete pieces. Finally, the data must be shown to clinical researchers and allowed to be queried in a format that provides insights into and hypothesis testing of the data. By the end of the tutorial, participants will be able to:
Content level: 100% intermediate Download Tutorial Description (pdf) T18 - Saturday, November 11, 2006, 1:00 pm - 4:30 pm Location: Monroe East National Health Information Infrastructure (NHII Overview): From A to Z J. Marc Overhage, Indiana Health Information Exchange, Indiana University, and Regenstrief Institute, Inc., Indianapolis, IN Shaun Grannis, Indiana University and Regenstrief Institute, Inc., Indianapolis, IN Blackford Middleton, Center for IT Leadership, Partners HealthCare System, Inc., Brigham & Women's Hospital, and Harvard Medical School, Boston, MA Janet M. Marchibroda, eHealth Initiative, Washington, DC Victoria M. Prescott, Regenstrief Institute, Indianapolis, IN Health information technology (HIT) is part of the solution to the quality, safety and efficiency challenges that our nation faces. In order to realize the potential value that HIT brings we have to integrate data from the disparate components of our health care system. In order to create a National Health Information Network (NHIN) we have to overcome technical, policy, organizational and business challenges. This two part tutorial will provide an overview of the current national and community efforts to create a NHIN, the basic technologic challenges and their potential solutions, some of the legal and organizational background and, finally, an overview of the potential value. By the end of the tutorial, participants will be able to:
Content level: 50% basic / 50% intermediate Download Tutorial Description (pdf) T19 - Sunday, November 12, 2006, 8:30 am - 12:00 pm Location: Jefferson West Discovering Knowledge: Data Mining John H. Holmes, University of Pennsylvania, Philadelphia, PA This interactive tutorial will introduce attendees to the theory, tools, and techniques for discovering knowledge in biomedical data. Using a well-known data mining life cycle as a conceptual framework, attendees will experience first-hand, thorough demonstration and direct participation, the techniques of mining clinical data. These techniques include data preparation, description and visualization, mining association, classification, and prediction rules, clustering. The capstone of the tutorial will be the application of mined data to informing traditional statistical analysis. The Weka data mining software package (http://www.cs.waikato.ac.nz/ml/weka/) will be used for interactive demonstration in the tutorial. Weka is freely available in the public domain, and runs on even modestly equipped computers within a Java runtime environment (JRE). The software will be distributed to attendees on CD-ROM free of charge. Attendees will be encouraged to bring laptops to the tutorial, during which they will be given the opportunity to install and use Weka. However, even those who do not bring laptops will benefit from the detailed demonstrations in the tutorial. This tutorial requires basic familiarity with databases and data warehouses. By the end of the tutorial, participants will be able to:
Content level: 100% basic Download Tutorial Description (pdf) T20 - Sunday, November 12, 2006, 8:30 am - 12:00 pm Location: Jefferson East Project Management: Implementing Systems on Time and with Budget Judy Murphy, Aurora Health Care, Milwaukee, WI Patricia C. Dykes, Partners HeathCare, Boston, MA Clinicians often find themselves as leaders of information system implementation efforts, whether they are in clinical practice or working in information technology departments. Although many aspects of project methodology parallel a decision-making process and come natural for clinicians, these complex clinical system projects usually require significant process changes in addition to technology deployment, so it is generally helpful to learn more about the structured approach to system implementation in order to bring the project in on time and within budget. In this tutorial, the presenters will explore the systems implementation lifecycle and strategies to ensure success when implementing both small and large clinical systems, particularly when there is an impact on workflow. Content will focus on: implementation phases, tips to positively impact on the effectiveness and efficiency of a system implementation, and key elements of project management. By the end of the tutorial, participants will be able to:
Content level: 50% basic / 50% intermediate Download Tutorial Description (pdf) T21 - Sunday, November 12, 2006, 8:30 am - 12:00 pm Location: Lincoln West Ontologies in Biomedicine Mark A. Musen, Stanford University, Stanford, CA Principal Investigator, The National Center for Biomedical Ontology Ontologies are at the core of biomedical informatics. The ability to describe formally the entities in an application area and the relationships among those entities is a fundamental skill in informatics and an essential prerequisite to the development of complex software systems. From systems for annotating experimental data (such as the Gene Ontology), to large terminological systems (such as SNOMED), to descriptions of medical knowledge for decision support (such as in the case of guideline-based care), ontologies have become pervasive in biomedicine. This tutorial will provide an overview of what ontologies are and why they are important. Participants will learn to distinguish ontologies from controlled terminologies and from knowledge bases. They will learn how ontologies are used in biomedical practice and the role of informatics in the construction, management, and application of ontologies. Participants will learn about the role of ontologies in applications for decision support, electronic health records, information retrieval, knowledge management, and the Semantic Web. By the end of the tutorial, participants will be able to:
Content level: 100% basic Download Tutorial Description (pdf) T22 - Sunday, November 12, 2006, 8:30 am - 12:00 pm Location: Lincoln East Public Health for Informaticians Patrick W. O'Carroll, United States Department of Health and Human Services, Washington, DC Public health, as a social enterprise, is among the most successful human endeavors in history. Paradoxically, it is also one of the least understood and most dangerously under-funded undertakings of the modern age. Through presentations and interactive discussions, the instructor will briefly review the history of public health and the societal forces that spurred its development; clarify the relative magnitude of the contributions to human health of clinical medicine and public health; discuss and clarify the reasons why it is difficult to grasp the nature and boundaries of the profession of public health; and finally, articulate guiding principles, core functions, and time-tested approaches that define what public health really is. With this as background, participants will be engaged in a discussion of the tremendous potential for informatics to improve and transform public health, with special emphasis on several "grand challenges" currently at the forefront of the field of public health informatics. By the end of the tutorial, participants will be able to:
Content level: 100% basic Download Tutorial Description (pdf) T23 - Sunday, November 12, 2006, 8:30 am - 12:00 pm Location: Georgetown West EHR: Selection and Implementation Jerome H. Carter, NT&M Informatics, Inc, Atlanta, GA The expert use of clinical data management tools is an essential skill for health care providers. While there exists a wide variety of software to select from, most busy clinicians do not have the skills, time or domain knowledge to choose those which best fit their information needs. This tutorial will address how to evaluate clinical data management needs, how to develop a process for selecting an electronic health records product, and common electronic health record implementation issues. By the end of the tutorial, participants will be able to:
Content level: 50% basic / 40% intermediate / 10% advanced. Download Tutorial Description (pdf) T24 - Sunday, November 12, 2006, 8:30 am - 12:00 pm Location: Georgetown East Electronic Health Records: How might we deliver the benefits rapidly and inexpensively? W. Edward Hammond, Duke University Medical Center William W. Stead, Vanderbilt University Everyone concerned with the access, quality and cost problems of today's healthcare quickly recognizes electronic health records as a critical need. The benefits of the ready access to the right information have been documented in the medical literature. Yet "adoption" is slow. This tutorial begins with the hypothesis that the academic biomedical informatics community, and the health care information technology industry, may bear part of the responsibility for this adoption gap. Attention to the perfect may be getting the way of achieving the good. By the end of the tutorial, participants will be able to:
Content level: 10% basic / 80% intermediate /10% advanced Download Tutorial Description (pdf) T25 - Sunday, November 12, 2006, 8:30 am - 12:00 pm Location: Monroe West Design and Conduct of Evaluation Studies in Biomedical Informatics Charles P. Friedman, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD Jeremy C. Wyatt, University of Dundee, Scotland, UK It is now generally accepted that evaluation of information resources and their users is one of the fundamental activities of biomedical and health informatics. Evaluation studies can address a wide range of questions using a wide range of methods. Studies are carried out before, during, and following the deployment of information resources. This tutorial is designed to support anyone designing, carrying out or critically appraising an evaluative study of a biomedical information resource. The tutorial will offer an introduction to the rigorous scientific methods underlying evaluation, in such a manner that they are understandable and practical to apply. The tutorial starts by defining evaluation and describing why we do it, then discusses alternative approaches and how to select between them. A case study is used to introduce evaluation techniques and examine their strengths and weaknesses. The content of this tutorial is coordinated with the textbook: Friedman CP, Wyatt JC. Evaluation Methods in Biomedical Informatics, 2nd Edition. New York: Springer, 2005. By the end of the tutorial, participants will be able to:
Content level: 80% basic / 20% intermediate Download Tutorial Description (pdf) T26 - Sunday, November 12, 2006, 8:30 am - 12:00 pm Location: Monroe East Evidence-based Nursing Knowledge - Content and System Design Connie Delaney, University of Minnesota, Minneapolis, MN Judith Warren, University of Kansas, Kansas City, KS The purpose of this tutorial is to provide a basic understanding of and systems development and design for evidence-based nursing practice. This tutorial will demonstrate quality sources of nursing knowledge and how to apply state-of-the-science standards to selection of knowledge. The instructors will describe the relationship of a professional practice framework to developing referential and actionable evidence; discuss the issues to an exemplar protocol to develop actionable evidence; and discuss the translation of nursing knowledge across education, practice, and industry environments and related standards. By the end of the tutorial, participants will be able to:
Content level: 50% basic / 50% intermediate Download Tutorial Description (pdf) |
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Last Modified:
October 31, 2006
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