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Objective: To develop a comprehensive and current description of what health informatics (HI) professionals do and what they need to know., Materials and Methods: Six independent subject-matter expert panels drawn from and representative of HI professionals contributed to the development of a draft HI delineation of practice (DoP). An online survey was distributed to HI professionals to validate the draft DoP. A total of 1011 HI practitioners completed the survey. Survey respondents provided domain, task, knowledge and skill (KS) ratings, qualitative feedback on the completeness of the DoP, and detailed professional background and demographic information., Results: This practice analysis resulted in a validated, comprehensive, and contemporary DoP comprising 5 domains, 74 tasks, and 144 KS statements., Discussion: The HI practice analysis defined "health informatics professionals" to include practitioners with clinical (eg, dentistry, nursing, pharmacy), public health, and HI or computer science training. The affirmation of the DoP by reviewers and survey respondents reflects the emergence of a core set of tasks performed and KSs used by informaticians representing a broad spectrum of those currently practicing in the field., Conclusion: The HI practice analysis represents the first time that HI professionals have been surveyed to validate a description of their practice. The resulting HI DoP is an important milestone in the maturation of HI as a profession and will inform HI certification, accreditation, and education activities., (© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objective: To assess measurement practice in clinical decision support evaluation studies., Materials and Methods: We identified empirical studies evaluating clinical decision support systems published from 1998 to 2017. We reviewed titles, abstracts, and full paper contents for evidence of attention to measurement validity, reliability, or reuse. We used Friedman and Wyatt's typology to categorize the studies., Results: There were 391 studies that met the inclusion criteria. Study types in this cohort were primarily field user effect studies (n = 210) or problem impact studies (n = 150). Of those, 280 studies (72%) had no evidence of attention to measurement methodology, and 111 (28%) had some evidence with 33 (8%) offering validity evidence; 45 (12%) offering reliability evidence; and 61 (16%) reporting measurement artefact reuse., Discussion: Only 5 studies offered validity assessment within the study. Valid measures were predominantly observed in problem impact studies with the majority of measures being clinical or patient reported outcomes with validity measured elsewhere., Conclusion: Measurement methodology is frequently ignored in empirical studies of clinical decision support systems and particularly so in field user effect studies. Authors may in fact be attending to measurement considerations and not reporting this or employing methods of unknown validity and reliability in their studies. In the latter case, reported study results may be biased and effect sizes misleading. We argue that replication studies to strengthen the evidence base require greater attention to measurement practice in health informatics research., (© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

Objective: The study sought to develop a comprehensive and current description of what Clinical Informatics Subspecialty (CIS) physician diplomates do and what they need to know., Materials and Methods: Three independent subject matter expert panels drawn from and representative of the 1695 CIS diplomates certified by the American Board of Preventive Medicine contributed to the development of a draft CIS delineation of practice (DoP). An online survey was distributed to all CIS diplomates in July 2018 to validate the draft DoP. A total of 316 (18.8%) diplomates completed the survey. Survey respondents provided domain, task, and knowledge and skill (KS) ratings; qualitative feedback on the completeness of the DoP; and detailed professional background and demographic information., Results: This practice analysis resulted in a validated, comprehensive, and contemporary DoP comprising 5 domains, 42 tasks, and 139 KS statements., Discussion: The DoP that emerged from this study differs from the 2009 CIS Core Content in 2 respects. First, the DoP reflects the growth in amount, types, and utilization of health data through the addition of a practice domain, tasks, and KS statements focused on data analytics and governance. Second, the final DoP describes CIS practice in terms of tasks in addition to identifying knowledge required for competent practice., Conclusions: This study (1) articulates CIS diplomate tasks and knowledge used in practice, (2) provides data that will enable the American Board of Preventive Medicine CIS examination to align with current practice, (3) informs clinical informatics fellowship program requirements, and (4) provides insight into maintenance of certification requirements., (© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objective: To assess and refine competencies for the clinical research data management profession., Materials and Methods: Based on prior work developing and maintaining a practice standard and professional certification exam, a survey was administered to a captive group of clinical research data managers to assess professional competencies, types of data managed, types of studies supported, and necessary foundational knowledge., Results: Respondents confirmed a set of 91 professional competencies. As expected, differences were seen in job tasks between early- to mid-career and mid- to late-career practitioners. Respondents indicated growing variability in types of studies for which they managed data and types of data managed., Discussion: Respondents adapted favorably to the separate articulation of professional competencies vs foundational knowledge. The increases in the types of data managed and variety of research settings in which data are managed indicate a need for formal education in principles and methods that can be applied to different research contexts (ie, formal degree programs supporting the profession), and stronger links with the informatics scientific discipline, clinical research informatics in particular., Conclusion: The results document the scope of the profession and will serve as a foundation for the next revision of the Certified Clinical Data Manager TM exam. A clear articulation of professional competencies and necessary foundational knowledge could inform the content of graduate degree programs or tracks in areas such as clinical research informatics that will develop the current and future clinical research data management workforce., (© The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com)

Objective: To pilot benchmark measures of health information and communication technology (ICT) availability and use to facilitate cross-country learning., Materials and Methods: A prior Organization for Economic Cooperation and Development-led effort involving 30 countries selected and defined functionality-based measures for availability and use of electronic health records, health information exchange, personal health records, and telehealth. In this pilot, an Organization for Economic Cooperation and Development Working Group compiled results for 38 countries for a subset of measures with broad coverage using new and/or adapted country-specific or multinational surveys and other sources from 2012 to 2015. We also synthesized country learnings to inform future benchmarking., Results: While electronic records are widely used to store and manage patient information at the point of care-all but 2 pilot countries reported use by at least half of primary care physicians; many had rates above 75%-patient information exchange across organizations/settings is less common. Large variations in the availability and use of telehealth and personal health records also exist., Discussion: Pilot participation demonstrated interest in cross-national benchmarking. Using the most comparable measures available to date, it showed substantial diversity in health ICT availability and use in all domains. The project also identified methodological considerations (e.g., structural and health systems issues that can affect measurement) important for future comparisons., Conclusion: While health policies and priorities differ, many nations aim to increase access, quality, and/or efficiency of care through effective ICT use. By identifying variations and describing key contextual factors, benchmarking offers the potential to facilitate cross-national learning and accelerate the progress of individual countries., (© The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

In 2005, AMIA leaders and members concluded that certification of advanced health informatics professionals would offer value to individual practitioners, organizations that hire them, and society at large. AMIA's work to create advanced informatics certification began by leading a successful effort to create the clinical informatics subspecialty for American Board of Medical Specialties board-certified physicians. Since 2012, AMIA has been working to establish advanced health informatics certification (AHIC) for all health informatics practitioners regardless of their primary discipline. In November 2015, AMIA completed the first of 3 key tasks required to establish AHIC, with the AMIA Board of Directors' endorsement of proposed eligibility requirements. This AMIA Board white paper describes efforts to establish AHIC, reports on the current status of AHIC components, and provides a context for the proposed AHIC eligibility requirements., (© The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

Since the inception of the Clinical and Translational Science Award (CTSA) program in 2006, leaders in education across CTSA sites have been developing and updating core competencies for Clinical and Translational Science (CTS) trainees. By 2009, 14 competency domains, including biomedical informatics, had been identified and published. Since that time, the evolution of the CTSA program, changes in the practice of CTS, the rapid adoption of electronic health records (EHRs), the growth of biomedical informatics, the explosion of big data, and the realization that some of the competencies had proven to be difficult to apply in practice have made it clear that the competencies should be updated. This paper describes the process undertaken and puts forth a new set of competencies that has been recently endorsed by the Clinical Research Informatics Workgroup of AMIA. In addition to providing context and background for the current version of the competencies, we hope this will serve as a model for revision of competencies over time., (© The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

This article offers suggested guidelines for graduate students who are embarking on informatics doctoral studies and anticipating the dissertation research and its documentation. Much of the guidance is pertinent for writing dissertations in other disciplines as well. The messages are largely directed at doctoral students, but some elements are also pertinent for master's students. All are relevant for faculty research advisors. The value of the dissertation is often underestimated. Too often it is seen as a hurdle to be overcome rather than an opportunity to gain insight into one's own research and to learn how to communicate effectively about it. Ideas that have been ill-formed often do not gel effectively until one tries to write about them. The main lesson is that the preparation of a carefully crafted, rigorous, logically evidence-based, and influential dissertation can be remarkably rewarding, both personally and professionally., (© The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

AMIA is leading the effort to strengthen the health informatics profession by creating an advanced health informatics certification (AHIC) for individuals whose informatics work directly impacts the practice of health care, public health, or personal health. The AMIA Board of Directors has endorsed a set of proposed AHIC eligibility requirements that will be presented to the future AHIC certifying entity for adoption. These requirements specifically establish who will be eligible to sit for the AHIC examination and more generally signal the depth and breadth of knowledge and experience expected from certified individuals. They also inform the development of the accreditation process and provide guidance to graduate health informatics programs as well as individuals interested in pursuing AHIC. AHIC eligibility will be determined by practice focus, education in primary field and health informatics, and significant health informatics experience., (© The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

Background: Burn Intensive Care Unit (BICU) work is necessarily complex and depends on clinician actions, resources, and variable patient responses to interventions. Clinicians use large volumes of data that are condensed in time, but separated across resources, to care for patients. Correctly designed health information technology (IT) systems may help clinicians to treat these patients more efficiently, accurately, and reliably. We report on a 3-year project to design and develop an ecologically valid IT system for use in a military BICU., Methods: We use a mixed methods Cognitive Systems Engineering approach for research and development. Observations, interviews, artifact analysis, survey, and thematic analysis methods were used to reveal underlying factors that mold the work environment and affect clinician decisions that may affect patient outcomes. Participatory design and prototyping methods have been used to develop solutions., Results: We developed 39 requirements for the IT system and used them to create three use cases to help developers better understand how the system might support clinician work to develop interface prototypes. We also incorporated data mining functions that offer the potential to aid clinicians by recognizing patterns recognition of clinically significant events, such as incipient sepsis. The gaps between information sources and accurate, reliable, and efficient clinical decision that we have identified will enable us to create scenarios to evaluate prototype systems with BICU clinicians, to develop increasingly improved designs, and to measure outcomes., Conclusion: The link from data to analyses, requirements, prototypes, and their evaluation ensures that the solution will reflect and support work in the BICU as it actually occurs, improving staff efficiency and patient care quality., (Reprint & Copyright © 2016 Association of Military Surgeons of the U.S.)

Purpose: This report describes the development and preliminary analysis of a database for traumatically injured military service members with dysphagia., Methods: A multidimensional database was developed to capture clinical variables related to swallowing. Data were derived from clinical records and instrumental swallow studies, and ranged from demographics, injury characteristics, swallowing biomechanics, medications, and standardized tools (e.g., Glasgow Coma Scale, Penetration-Aspiration Scale). Bayesian Belief Network modeling was used to analyze the data at intermediate points, guide data collection, and predict outcomes. Predictive models were validated with independent data via receiver operating characteristic curves., Results: The first iteration of the model (n = 48) revealed variables that could be collapsed for the second model (n = 96). The ability to predict recovery from dysphagia improved from the second to third models (area under the curve = 0.68 to 0.86). The third model, based on 161 cases, revealed "initial diet restrictions" as first-degree, and "Glasgow Coma Scale, intubation history, and diet change" as second-degree associates for diet restrictions at discharge., Conclusion: This project demonstrates the potential for bioinformatics to advance understanding of dysphagia. This database in concert with Bayesian Belief Network modeling makes it possible to explore predictive relationships between injuries and swallowing function, individual variability in recovery, and appropriate treatment options., (Reprint & Copyright © 2016 Association of Military Surgeons of the U.S.)

The American Recovery and Reinvestment Act (ARRA) of 2009 clearly articulated the central role that health information technology (HIT) standards would play in improving healthcare quality, safety, and efficiency through the meaningful use of certified, standards based, electronic health record (EHR) technology. In 2012, the Office of the National Coordinator (ONC) asked the Nationwide Health Information Network (NwHIN) Power Team of the Health Information Technology Standards Committee (HITSC) to develop comprehensive, objective, and, to the extent practical, quantitative criteria for evaluating technical standards and implementation specifications and classifying their readiness for national adoption. The Power Team defined criteria, attributes, and metrics for evaluating and classifying technical standards and specifications as 'emerging,' 'pilot,' or 'ready for national standardization' based on their maturity and adoptability. The ONC and the HITSC are now using these metrics for assessing the readiness of technical standards for national adoption., (© The Author 2014. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

The Office of the National Coordinator for Health Information Technology is expected to oversee creation of a Health Information Technology (HIT) Safety Center. While its functions are still being defined, the center is envisioned as a public-private entity focusing on promotion of HIT related patient safety. We propose that the HIT Safety Center leverages its unique position to work with key administrative and policy stakeholders, healthcare organizations (HCOs), and HIT vendors to achieve four goals: (1) facilitate creation of a nationwide 'post-marketing' surveillance system to monitor HIT related safety events; (2) develop methods and governance structures to support investigation of major HIT related safety events; (3) create the infrastructure and methods needed to carry out random assessments of HIT related safety in complex HCOs; and (4) advocate for HIT safety with government and private entities. The convening ability of a federally supported HIT Safety Center could be critically important to our transformation to a safe and effective HIT enabled healthcare system., (© The Author 2014. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

In the era of Big Data, omic-scale technologies, and increasing calls for data sharing, it is generally agreed that the use of community-developed, open data standards is critical. Far less agreed upon is exactly which data standards should be used, the criteria by which one should choose a standard, or even what constitutes a data standard. It is impossible simply to choose a domain and have it naturally follow which data standards should be used in all cases. The 'right' standards to use is often dependent on the use case scenarios for a given project. Potential downstream applications for the data, however, may not always be apparent at the time the data are generated. Similarly, technology evolves, adding further complexity. Would-be standards adopters must strike a balance between planning for the future and minimizing the burden of compliance. Better tools and resources are required to help guide this balancing act.

Objective: To develop benchmark measures of health information and communication technology (ICT) use to facilitate cross-country comparisons and learning., Materials and Methods: The effort is led by the Organisation for Economic Co-operation and Development (OECD). Approaches to definition and measurement within four ICT domains were compared across seven OECD countries in order to identify functionalities in each domain. These informed a set of functionality-based benchmark measures, which were refined in collaboration with representatives from more than 20 OECD and non-OECD countries. We report on progress to date and remaining work to enable countries to begin to collect benchmark data., Results: The four benchmarking domains include provider-centric electronic record, patient-centric electronic record, health information exchange, and tele-health. There was broad agreement on functionalities in the provider-centric electronic record domain (eg, entry of core patient data, decision support), and less agreement in the other three domains in which country representatives worked to select benchmark functionalities., Discussion: Many countries are working to implement ICTs to improve healthcare system performance. Although many countries are looking to others as potential models, the lack of consistent terminology and approach has made cross-national comparisons and learning difficult., Conclusions: As countries develop and implement strategies to increase the use of ICTs to promote health goals, there is a historic opportunity to enable cross-country learning. To facilitate this learning and reduce the chances that individual countries flounder, a common understanding of health ICT adoption and use is needed. The OECD-led benchmarking process is a crucial step towards achieving this.

Unlabelled: Measures of provider success are the centerpiece of quality improvement and pay-for-performance programs around the globe. In most nations, these measures are derived from administrative records, paper charts and consumer surveys; increasingly, electronic patient record systems are also being used. We use the term 'e-QMs' to describe quality measures that are based on data found within electronic health records and other related health information technology (HIT). We offer a framework or typology for e-QMs and describe opportunities and impediments associated with the transition from old to new, Data Sources: If public and private systems of care are to effectively use HIT to support and evaluate health-care system quality and safety, the quality measurement field must embrace new paradigms and strategically address a series of technical, conceptual and practical challenges.

Introduction: The Consolidated Standards for Reporting Trials (CONSORT) were published to standardize reporting and improve the quality of clinical trials. The objective of this study is to assess CONSORT adherence in randomized clinical trials (RCT) of disease specific clinical decision support (CDS)., Methods: A systematic search was conducted of the Medline, EMBASE, and Cochrane databases. RCTs on CDS were assessed against CONSORT guidelines and the Jadad score., Result: 32 of 3784 papers identified in the primary search were included in the final review. 181 702 patients and 7315 physicians participated in the selected trials. Most trials were performed in primary care (22), including 897 general practitioner offices. RCTs assessing CDS for asthma (4), diabetes (4), and hyperlipidemia (3) were the most common. Thirteen CDS systems (40%) were implemented in electronic medical records, and 14 (43%) provided automatic alerts. CONSORT and Jadad scores were generally low; the mean CONSORT score was 30.75 (95% CI 27.0 to 34.5), median score 32, range 21-38. Fourteen trials (43%) did not clearly define the study objective, and 11 studies (34%) did not include a sample size calculation. Outcome measures were adequately identified and defined in 23 (71%) trials; adverse events or side effects were not reported in 20 trials (62%). Thirteen trials (40%) were of superior quality according to the Jadad score (≥3 points). Six trials (18%) reported on long-term implementation of CDS., Conclusion: The overall quality of reporting RCTs was low. There is a need to develop standards for reporting RCTs in medical informatics.

Objective: To investigate organizational facilitators and barriers to patient-centered care in US health care institutions renowned for improving the patient care experience., Design: A qualitative study involving interviews of senior staff and patient representatives. Semi-structured interviews focused on organizational processes, senior leadership, work environment, measurement and feedback mechanisms, patient engagement and information technology and access., Setting: Eight health care organizations across the USA with a reputation for successfully promoting patient-centered care., Participants: Forty individuals, including chief executives, quality directors, chief medical officers, administrative directors and patient committee representatives., Results: Interviewees reported that several organizational attributes and processes are key facilitators for making care more patient-centered: (i) strong, committed senior leadership, (ii) clear communication of strategic vision, (iii) active engagement of patient and families throughout the institution, (iv) sustained focus on staff satisfaction, (v) active measurement and feedback reporting of patient experiences, (vi) adequate resourcing of care delivery redesign, (vii) staff capacity building, (viii) accountability and incentives and (ix) a culture strongly supportive of change and learning. Interviewees reported that changing the organizational culture from a 'provider-focus' to a 'patient-focus' and the length of time it took to transition toward such a focus were the principal barriers against transforming delivery for patient-centered care., Conclusions: Organizations that have succeeded in fostering patient-centered care have gone beyond mainstream frameworks for quality improvement based on clinical measurement and audit and have adopted a strategic organizational approach to patient focus.

The current commercial health information technology (HIT) arena encompasses a number of competing firms that provide electronic health applications to hospitals, clinical practices, and other healthcare-related entities. Such applications collect, store, and analyze patient information. Some vendors incorporate contract language whereby purchasers of HIT systems, such as hospitals and clinics, must indemnify vendors for malpractice or personal injury claims, even if those events are not caused or fostered by the purchasers. Some vendors require contract clauses that force HIT system purchasers to adopt vendor-defined policies that prevent the disclosure of errors, bugs, design flaws, and other HIT-software-related hazards. To address this issue, the AMIA Board of Directors appointed a Task Force to provide an analysis and insights. Task Force findings and recommendations include: patient safety should trump all other values; corporate concerns about liability and intellectual property ownership may be valid but should not over-ride all other considerations; transparency and a commitment to patient safety should govern vendor contracts; institutions are duty-bound to provide ethics education to purchasers and users, and should commit publicly to standards of corporate conduct; and vendors, system purchasers, and users should encourage and assist in each others' efforts to adopt best practices. Finally, the HIT community should re-examine whether and how regulation of electronic health applications could foster improved care, public health, and patient safety.

The federal initiative for electronic health record (EHR) interoperability began in 2000 and set the stage for the establishment of the 2004 Executive Order for EHR interoperability by 2014. This article discusses the chronology from the 2001 e-Government Consolidated Health Informatics (CHI) initiative through the current congressional mandates for an aligned, interoperable, and agile DoD AHLTA and VA VistA.

Current efforts to define and implement health data standards are driven by issues related to the quality, cost and continuity of care, patient safety concerns, and desires to speed clinical research findings to the bedside. The President's goal for national adoption of electronic medical records in the next decade, coupled with the current emphasis on translational research, underscore the urgent need for data standards in clinical research. This paper reviews the motivations and requirements for standardized clinical research data, and the current state of standards development and adoption--including gaps and overlaps--in relevant areas. Unresolved issues and informatics challenges related to the adoption of clinical research data and terminology standards are mentioned, as are the collaborations and activities the authors perceive as most likely to address them.

The Internet is now the single largest source of health information and is used by many patients and their families who are affected by childhood brain tumors. To assess the quality of pediatric neuro-oncology information on the Internet, we used search engines to look for information on five common tumor types (brain stem glioma, craniopharyngioma, ependymoma, low-grade glioma, and medulloblastoma). The Web sites were evaluated for content quality by using the validated DISCERN rating instrument. Breadth of content and its accuracy were also scored by a checklist tool. Readability statistics were computed on the highest-rated sites. Of 114 evaluated Web sites, the sources were as follows: institutional, 46%; commercial, 35%; charitable, 15%; support group, 2%; and alternative medicine, 2%. Good interobserver correlation was found for both ratings instruments. The DISCERN tool rated Web sites as excellent (4%), good (7%), fair (29%), poor (39%), or very poor (21%). Only 5% of the Web sites provided one or more inaccurate pieces of information. Web sites were found deficient in topics covering etiology, late effects, prognosis, and treatment choices. Few sites offered information in languages other than English, and readability statistics showed an average required reading level of U.S. grade 12+ (the suggested level being grades 6-8 for an adult audience). The Internet is increasingly being used as a source of oncology information for patients and their families. Health care professionals should be actively involved in developing high-quality information for use in the next generation of Web sites.

Background: Improving the safety, quality, and efficiency of health care will require immediate and ubiquitous access to complete patient information and decision support provided through a National Health Information Infrastructure (NHII)., Methods: To help define the action steps needed to achieve an NHII, the U.S. Department of Health and Human Services sponsored a national consensus conference in July 2003., Results: Attendees favored a public-private coordination group to guide NHII activities, provide education, share resources, and monitor relevant metrics to mark progress. They identified financial incentives, health information standards, and overcoming a few important legal obstacles as key NHII enablers. Community and regional implementation projects, including consumer access to a personal health record, were seen as necessary to demonstrate comprehensive functional systems that can serve as models for the entire nation. Finally, the participants identified the need for increased funding for research on the impact of health information technology on patient safety and quality of care. Individuals, organizations, and federal agencies are using these consensus recommendations to guide NHII efforts.

Peer-reviewed publication of scientific research results represents the most important means of their communication. The authors have annually reviewed a large heterogeneous set of papers to produce the International Medical Informatics Association (IMIA) Yearbook of Medical Informatics. To support an objective and high-quality review process, the authors attempted to provide reviewers with a set of refined quality criteria, comprised of 80 general criteria and an additional 60 criteria for specific types of manuscripts. Authors conducted a randomized controlled trial, with 18 reviewers, to evaluate application of the refined criteria on review outcomes. Whereas the trial found that reviewers applying the criteria graded papers more strictly (lower overall scores), and that junior reviewers appreciated the availability of the criteria, there was no overall change in the interrater variability in reviewing the manuscripts. The authors describe their experience as a "case report" and provide a reference to the refined quality review criteria without claiming that the criteria represent a validated instrument for quantitative quality measurement.

The Agency for Healthcare Research and Quality and its predecessor organizations-collectively referred to here as AHRQ-have a productive history of funding research and development in the field of medical informatics, with grant investments since 1968 totaling $107 million. Many computerized interventions that are commonplace today, such as drug interaction alerts, had their genesis in early AHRQ initiatives. This review provides a historical perspective on AHRQ investment in medical informatics research. It shows that grants provided by AHRQ resulted in achievements that include advancing automation in the clinical laboratory and radiology, assisting in technology development (computer languages, software, and hardware), evaluating the effectiveness of computer-based medical information systems, facilitating the evolution of computer-aided decision making, promoting computer-initiated quality assurance programs, backing the formation and application of comprehensive data banks, enhancing the management of specific conditions such as HIV infection, and supporting health data coding and standards initiatives. Other federal agencies and private organizations have also supported research in medical informatics, some earlier and to a greater degree than AHRQ. The results and relative roles of these related efforts are beyond the scope of this review.

Increasingly, consumers engage in health information seeking via the Internet. Taking a communication perspective, this review argues why public health professionals should be concerned about the topic, considers potential benefits, synthesizes quality concerns, identifies criteria for evaluating online health information and critiques the literature. More than 70 000 websites disseminate health information; in excess of 50 million people seek health information online, with likely consequences for the health care system. The Internet offers widespread access to health information, and the advantages of interactivity, information tailoring and anonymity. However, access is inequitable and use is hindered further by navigational challenges due to numerous design features (e.g. disorganization, technical language and lack of permanence). Increasingly, critics question the quality of online health information; limited research indicates that much is inaccurate. Meager information-evaluation skills add to consumers' vulnerability, and reinforce the need for quality standards and widespread criteria for evaluating health information. Extant literature can be characterized as speculative, comprised of basic 'how to' presentations, with little empirical research. Future research needs to address the Internet as part of the larger health communication system and take advantage of incorporating extant communication concepts. Not only should research focus on the 'net-gap' and information quality, it also should address the inherently communicative and transactional quality of Internet use. Both interpersonal and mass communication concepts open avenues for investigation and understanding the influence of the Internet on health beliefs and behaviors, health care, medical outcomes, and the health care system.

The AMIA 2001 Spring Congress brought together members of the the public health and informatics communities to develop a national agenda for public health informatics. Discussions of funding and governance; architecture and infrastructure; standards and vocabulary; research, evaluation, and best practices; privacy, confidentiality, and security; and training and workforce resulted in 74 recommendations with two key themes-that all stakeholders need to be engaged in coordinated activities related to public health information architecture, standards, confidentiality, best practices, and research; and that informatics training is needed throughout the public health workforce. Implementation of this consensus agenda will help promote progress in the application of information technology to improve public health.

The contention of the author is that an informatics infrastructure is essential for evidenced-based practice. Five building blocks of an informatics infrastructure for evidence-based practice are proposed: 1) standardized terminologies and structures, 2) digital sources of evidence, 3) standards that facilitate health care data exchange among heterogeneous systems, 4) informatics processes that support the acquisition and application of evidence to a specific clinical situation, and 5) informatics competencies. Selected examples illustrate how each of these building blocks supports the application of evidence to practice and the building of evidence from practice. Although a number of major challenges remain, medical informatics can provide solutions that have the potential to decrease unintended variation in practice and health care errors.

The "vocabulary problem" has long plagued the developers, implementers, and users of computer-based systems. The authors review selected activities of the Health Level 7 (HL7) Vocabulary Technical Committee that are related to vocabulary domain specification for HL7 coded data elements. These activities include: 1) the development of two sets of principles to provide guidance to terminology stakeholders, including organizations seeking to deploy HL7-compliant systems, terminology developers, and terminology integrators; 2) the completion of a survey of terminology developers; 3) the development of a process for HL7 registration of terminologies; and 4) the maintenance of vocabulary domain specification tables. As background, vocabulary domain specification is defined and the relationship between the HL7 Reference Information Model and vocabulary domain specification is described. The activities of the Vocabulary Technical Committee complement the efforts of terminology developers and other stakeholders. These activities are aimed at realizing semantic interoperability in the context of the HL7 Message Development Framework, so that information exchange and use among disparate systems can occur for the delivery and management of direct clinical care as well as for purposes such as clinical research, outcome research, and population health management.

In 1887, Polish physician Ludovic Zamenhof introduced Esperanto, a simple, easy-to-learn planned language. His goal was to erase communication barriers between ethnic groups by providing them with a politically neutral, culturally free standard language. His ideas received both praise and condemnation from the leaders of his time. Interest in Esperanto peaked in the 1970s but has since faded somewhat. Despite the logical concept and intellectual appeal of a standard language, Esperanto has not evolved into a dominant worldwide language. Instead, English, with all its idiosyncrasies, is closest to an international lingua franca. Like Zamenhof, standards committees in medical informatics have recognized communication chaos and have tried to establish working models, with mixed results. In some cases, previously shunned proprietary systems have become the standard. A proposed standard, no matter how simple, logical, and well designed, may have difficulty displacing an imperfect but functional "real life" system.

The 1998 Scientific Symposium of the American College of Medical Informatics (ACMI) was devoted to developing visions for the future of health care and biomedicine and a strategic agenda for health and biomedical informatics in support of those visions. This symposium focus was prompted by the many major changes currently underway in health care delivery, education, and research, as well as in our health and biomedical enterprises, and by the constantly increasing role of information technology in both shaping and enabling these changes. The three audacious goals developed for 2008 are a virtual health care databank, a national health care knowledge base, and a personal clinical health record.

Some observers feel that the federal government should play a more active leadership role in educating the medical community and in coordinating and encouraging a more rapid and effective implementation of clinically relevant applications of wide-area networking. Other people argue that the private sector is recognizing the importance of these issues and will, when the market demands it, adopt and enhance the telecommunications systems that are needed to produce effective uses of the National Information Infrastructure (NII) by the healthcare community. This debate identifies five areas for possible government involvement: convening groups for the development of standards; providing funding for research and development; ensuring the equitable distribution of resources, particularly to places and people considered by private enterprise to provide low opportunities for profit; protecting rights of privacy, intellectual property, and security; and overcoming the jurisdictional barriers to cooperation, particularly when states offer conflicting regulations. Arguments against government involvement include the likely emergence of an adequate infrastructure under free market forces, the often stifling effect of regulation, and the need to avoid a common-and-control mentality in an infrastructure that is best promoted collaboratively.

Objective: To develop a representational schema for clinical data for use in exchanging data and applications, using a collaborative approach., Design: Representational models for clinical radiology were independently developed manually by several Canon Group members who had diverse application interests, using sample reports. These models were merged into one common model through an iterative process by means of workshops, meetings, and electronic mail., Results: A core merged model for radiologic findings present in a set of reports that subsumed the models that were developed independently., Conclusions: The Canon Group's modeling effort focused on a collaborative approach to developing a representational schema for clinical concepts, using chest radiography reports as the initial experiment. This effort resulted in a core model that represents a consensus. Further efforts in modeling will extend the representational coverage and will also address issues such as scalability, automation, evaluation, and support of the collaborative effort.