Semantics and the medical web: a review of barriers and breakthroughs in effective healthcare query.

This paper provides an overview of the research into current medical vocabularies and their impact on searching the Web for health information. The Web provides growing opportunities for laypersons to gain knowledge about specific health conditions, though research to date has been incomplete. Many studies have examined aspects of controlled medical vocabularies. Other studies have examined aspects of medical Web searching vocabularies. In this context, there is a growing need to examine more closely laypersons' Web queries using controlled medical vocabularies that were designed to serve the needs of medical professionals. It may be the case that the average consumer of Web health services is not able to use correct medical terminology, and may not be able to choose analogous or synonymous terms from a search result list. Our review suggests a growing need for studies to examine the current applicability of controlled medical vocabularies as well as alternatives to semantic query by Web search engine users.

A study of medical and health queries to web search engines.

This paper reports findings from an analysis of medical or health queries to different web search engines. We report results: (i). comparing samples of 10000 web queries taken randomly from 1.2 million query logs from the AlltheWeb.com and Excite.com commercial web search engines in 2001 for medical or health queries, (ii). comparing the 2001 findings from Excite and AlltheWeb.com users with results from a previous analysis of medical and health related queries from the Excite Web search engine for 1997 and 1999, and (iii). medical or health advice-seeking queries beginning with the word 'should'. Findings suggest: (i). a small percentage of web queries are medical or health related, (ii). the top five categories of medical or health queries were: general health, weight issues, reproductive health and puberty, pregnancy/obstetrics, and human relationships, and (iii). over time, the medical and health queries may have declined as a proportion of all web queries, as the use of specialized medical/health websites and e-commerce-related queries has increased. Findings provide insights into medical and health-related web querying and suggests some implications for the use of the general web search engines when seeking medical/health information.

Sexual information seeking on web search engines.

Sexual information seeking is an important element within human information behavior. Seeking sexually related information on the Internet takes many forms and channels, including chat rooms discussions, accessing Websites or searching Web search engines for sexual materials. The study of sexual Web queries provides insight into sexually-related information-seeking behavior, of value to Web users and providers alike. We qualitatively analyzed queries from logs of 1,025,910 Alta Vista and AlltheWeb.com Web user queries from 2001. We compared the differences in sexually-related Web searching between Alta Vista and AlltheWeb.com users. Differences were found in session duration, query outcomes, and search term choices. Implications of the findings for sexual information seeking are discussed.

Manager's reports of variation in coding accuracy across U.S. oncology centers.

Advances in high-speed data processing capabilities, and the increasing reliance on information systems in comparative data assessment, are creating greater dependence on information systems, with a related need for more timely assessment of coding quality. Assessing the accuracy of coded and classified data becomes critical as the implementation of government compliance management requirements, along with the growing adoption of evidence-based medicine in error detection, serve to challenge healthcare researchers to consider the quality of coded data in management assessments. The implementation of larger, faster and more comprehensive databases in healthcare delivery settings is one response to this changing environment, but at a national level there will need to be some degree of uniformity in their utilization and management, if researchers are expected to rely on comparative benchmarks to fully assess organizational performance. In a nationwide survey of health information managers we found about 81 percent of respondents reported that significant coding errors existed in 5 percent or less of the records in their institutions. About 11 percent of respondents, however, reported that the coding errors existed in six to ten percent of their records. Regional and practice setting variation in reported coding error ranged widely, occurring across organizations as well as area locations. Related impact on comparative data-driven management assessment is discussed.

Information in medical decision making: how consistent is our management?

BACKGROUND: The use of outcomes data in clinical environments requires a correspondingly greater variety of information used in decision making, the measurement of quality, and clinical performance. As information becomes integral in the decision-making process, trustworthy decision support data are required. METHODS: Using data from a national census of certified health information managers, variation in automated data quality management practices was examined. RESULTS: Relatively low overall adoption of automated data management exists in health care organizations, with significant geographic and practice setting variation. Nonuniform regional adoption of computerized data management exists, despite national mandates that promote and in some cases require uniform adoption. Overall, a significant number of respondents (42.7%) indicated that they had not adopted policies and procedures to direct the timeliness of data capture, with 57.3% having adopted such practices. CONCLUSIONS: The inconsistency of patient data policy suggests that provider organizations do not use uniform information management methods, despite growing federal mandates to do so.

EPR adoption and dual record maintenance in the U.S.: assessing variation in medical systems infrastructure.

The growing adoption of evidence-based medicine in the United States is acting to cause fundamental changes in the delivery of healthcare management services. With the increasing incorporation of electronic patient records (EPRs) into the day-to-day practice of medicine, it necessitates greater dependence on adequate functioning of such resources, as they become more frequently used as a clinical complement in the practice of medicine. Assessing the patterns of adoption of EPRs is likewise of increasing importance, with the recent imposition of uniform government data collection and management requirements. The medium of data storage and maintenance within many organizations is a critical factor in the ultimate delivery of service, with a like need for an integrated, designated medium for the management of data becoming paramount. This study examines, on a nationwide basis, variation in reported adoption of EPRs within U.S. healthcare organizations, and the related maintenance of dual electronic/paper record systems.

Regional variation in medical systems data: influences on upcoding.

Attempts to minimize over-reimbursement to health care providers have resulted in highly publicized prosecution of health care providers and provider organizations. Such prosecution has led many to propose that upcoding influences exerted upon health care information managers would largely disappear, both within and external to the provider organization. This study seeks to examine the degree of both intra- and extraorganizational influences on reimbursement optimizing practices through a national survey of accredited health information managers. Results suggest that significant upcoding influence continues to occur within organizations, despite the risk of severe counterfraud penalties designed to eliminate such practices. We examine variation in intra- and extraorganizational optimizing influences, finding such influence was found to exist both within and external to the provider organization. We also examine how optimization influences vary across demographic, practice setting, and market characteristics. We find significant variation in influence across practice settings and managed care markets. Ramifications for reimbursement assessment are discussed.

Assessing managed care market variation in reports of coding accuracy.

The implementation of larger, faster and more comprehensive databases in healthcare delivery settings is an emerging outgrowth of evidence-based medicine. This study seeks to assess, at a national level, the degree of uniformity across markets in utilization and management of coded medical information. Implications for managers and policymakers, related to comparative managed care data benchmarks, are reviewed.