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Biomedical subjects

William Hersh

Publications and source records attributed to William Hersh.

15 recordsLinked to original sources
PubMed2007

A day in the life of PubMed: analysis of a typical day's query log.

OBJECTIVE: To characterize PubMed usage over a typical day and compare it to previous studies of user behavior on Web search engines. DESIGN: We performed a lexical and semantic analysis of 2,689,166 queries issued on PubMed over 24 consecutive hours on a typical day. MEASUREMENTS: We measured the number of queries, number of distinct users, queries per user, terms per query, common terms, Boolean operator use, common phrases, result set size, MeSH categories, used semantic measurements to group queries into sessions, and studied the addition and removal of terms from consecutive queries to gauge search strategies. RESULTS: The size of the result sets from a sample of queries showed a bimodal distribution, with peaks at approximately 3 and 100 results, suggesting that a large group of queries was tightly focused and another was broad. Like Web search engine sessions, most PubMed sessions consisted of a single query. However, PubMed queries contained more terms. CONCLUSION: PubMed's usage profile should be considered when educating users, building user interfaces, and developing future biomedical information retrieval systems.

Algorithms↗
PubMed2006

Medication errors: not just a few "bad apples"

Objective: The purpose of this study is to describe the distribution of medication errors among physicians.Design: Data on a cohort of internal medicine physicians were gathered prospectively over a seven-month period.Setting: The study was conducted in four adult primary care practices.Participants: Twenty-four physicians from Boston, MA participated in this study. A total of 661 patients agreed to participate in the study. The researchers surveyed patients to identify possible adverse drug events (ADEs). This information was supplemented by a chart review for each participating patient.Measurements: The principal measurement collected in this study was total medication errors per physician. The number of prescriptions written during the study period was also collected.Results: Twenty-two of the 24 physicians made at least one error. Although there was one outlier, the error rate among this cohort of physician was evenly distributed.Conclusion: The wide distribution of errors among this group of physicians undermines the argument that the majority of medication errors are due to a "few bad apples,"

Journal Article↗
PubMed2005

Who are the informaticians? What we know and should know.

The beginning of the 21st century has seen a surge in interest and enthusiasm for health care information technology based on its ability to demonstrate improvements in the quality, safety, and cost-efficiency of health care. One question, however, for which we have fewer answers is "who will be the individuals that develop, implement, and evaluate these systems?" In particular, while most attention has been paid to the exemplar leaders in health information technology, less has been focused on the issue of the workforce necessary to sustain the systems to achieve their vision. The discipline of medical informatics must pay sufficient attention to the professional workforce that will deploy systems outside the informatics research setting so their benefits may more widely accrue.

Health Occupations↗
PubMed2005

Evaluation of biomedical text-mining systems: lessons learned from information retrieval.

Biomedical text-mining systems have great promise for improving the efficiency and productivity of biomedical researchers. However, such systems are still not in routine use. One impediment to their development is the lack of systematic and rigorous evaluation, comparable to the approaches developed for information retrieval systems. The developers of text-mining systems need to improve both test collections for system-oriented evaluation and undertake user-oriented evaluations to determine the most effective use of their systems for their intended audience.

Algorithms↗
PubMed2005

A standards-based approach for facilitating discovery of learning objects at the point of care.

Recent concerns about the quality and safety of healthcare practice provide an imperative for discovering and accessing learning resources. The growing ubiquity of the Internet, World Wide Web, and on-line educational content provide opportunity for healthcare practitioners to identify and master learning in a granular and rapid fashion. The e-learning community at large has developed a number of standards to facilitate interoperability of learner competencies, metadata describing on-line content, and packaging and navigation of such content. The overall goal of our project is to enable healthcare professionals to easily and rapidly discover learning content at the point of care. This discovery and access of learning content will be based on healthcare-specific extensions of existing e-learning standards, which are themselves based on other Web standards, such as Web Services.

Curriculum↗
PubMed2004

A database for Chinese outpatients with rheumatic diseases.

Although several databases have been developed in rheumatology aimed at profiling the morbidity pattern of rheumatic diseases, or to capture the detailed clinical and outcome information of patients with a specific rheumatic disease, there is no database in China, as yet, for capturing visit-related health information of all outpatients with rheumatic diseases. In this project, a relational database was developed for the rheumatic outpatient clinic of Peking Union Medical College Hospital (PUMCH). The primary goal of this database is to collect and organize visit-related information of outpatients with rheumatic diseases to meet information needs of clinical research, health care continuity and teaching of rheumatic diseases. The implementation of this database can improve health services, medical records management and clinical research of outpatients with rheumatic disease at PUMCH.

China↗
PubMed2004

Enhancing access to the Bibliome: the TREC Genomics Track.

The growing amount of scientific discovery in genomics and related biomedical disciplines has led to a corresponding increase in the amount of on-line data and information. A new challenge for biomedical researchers has been how to access and manage this ever-increasing quantity of information. The Text Retrieval Conference (TREC) has implemented a Genomics Track to create an experimental environment for research in the use of information retrieval systems in the genomics domain. In the first year of the track, an ad hoc document retrieval task and an information extraction task were carried out by 29 research groups. Future work will focus on more complex data sources, searching tasks, and types of experiments.

Computational Biology↗
PubMed2004

Applying task analysis to describe and facilitate bioinformatics tasks.

OBJECTIVE: To document bioinformatics tasks currently per-formed by researchers in genomics and proteomics in an effort to recognize unmet informatics needs and challenges, identify system features that would enhance the performance of those tasks, and inform the development of new bioinformatics tools. DESIGN: A cross-sectional study of bioinformatics tasks performed by OHSU investigators involved in genomics and proteomics research was conducted using task analysis techniques. RESULTS: Four major categories emerged from 22 bioinformatics tasks reported by 6 research laboratories. These were: 1) gene analysis, 2) protein analysis, 3) biostatistical analysis, and 4) literature searching. Analysis of the data also raised the following challenging issues: 1) lack of procedural documentation, 2) use of home-grown strategies to accomplish goals, 3) individual needs and preferences, and 4) lack of awareness of existing bioinformatics tools. CONCLUSION: Task analysis was effective at documenting bioinformatics tasks performed by researchers in the fields of genomics and proteomics, at identifying potentially desirable system features and useful bioinformatics tools, and at providing a better understanding of some of the unmet needs and challenges faced by these researchers.

Computational Biology↗
PubMed2003

Development methodology for a "next generation" medical informatics curriculum for clinicians.

We describe a new methodology for development of a medical informatics curriculum for practicing clinicians. The curriculum is based on a biaxial framework in which information is categorized by type of application and role of the learner in relation to the application. The curriculum development process incorporates feedback from practicing clinicians on an ongoing basis.

Curriculum↗
PubMed2002

A systematic review of the efficacy of telemedicine for making diagnostic and management decisions.

We conducted a systematic review of the literature to evaluate the efficacy of telemedicine for making diagnostic and management decisions in three classes of application: office/hospital-based, store-and-forward, and home-based telemedicine. We searched the MEDLINE, EMBASE, CINAHL and HealthSTAR databases and printed resources, and interviewed investigators in the field. We excluded studies where the service did not historically require face-to-face encounters (e.g. radiology or pathology diagnosis). A total of 58 articles met the inclusion criteria. The articles were summarized and graded for the quality and direction of the evidence. There were very few high-quality studies. The strongest evidence for the efficacy of telemedicine for diagnostic and management decisions came from the specialties of psychiatry and dermatology. There was also reasonable evidence that general medical history and physical examinations performed via telemedicine had relatively good sensitivity and specificity. Other specialties in which some evidence for efficacy existed were cardiology and certain areas of ophthalmology. Despite the widespread use of telemedicine in most major medical specialties, there is strong evidence in only a few of them that the diagnostic and management decisions provided by telemedicine are comparable to face-to-face care.

Decision Making↗
PubMed2002

Medical informatics education: an alternative pathway for training informationists.

Recognition of the growing complexity of health information needs has led to a call for the creation of a new health care professional, the informationist. Controversy exists as to the role of such individuals and what their training should be. A library science degree, augmented with clinical background or experience, is one pathway. Another to consider is training in medical informatics. With the right coursework, individuals trained in medical informatics should be equally well qualified to assume the role of informationists.

Career Choice↗
PubMed2002

Delivering bioinformatics training: bridging the gaps between computer science and biomedicine.

Biomedical researchers have always sought innovative methodologies to elucidate the underlying biology in their experimental models. As the pace of research has increased with new technologies that 'scale-up' these experiments, researchers have developed acute needs for the information technologies which assist them in managing and processing their experiments and results into useful data analyses that support scientific discovery. The application of information technology to support this discovery process is often called bioinformatics. We have observed a 'gap' in the training of those individuals who traditionally aid in the delivery of information technology at the level of the end-user (e.g. a systems analyst working with a biomedical researcher) which can negatively impact the successful application of technological solutions to biomedical research problems. In this paper we describe the roots and branches of bioinformatics to illustrate a range of applications and technologies that it encompasses. We then propose a taxonomy of bioinformatics as a framework for the identification of skills employed in the field. The taxonomy can be used to assess a set of skills required by a student to traverse this hierarchy from one area to another. We then describe a curriculum that attempts to deliver the identified skills to a broad audience of participants, and describe our experiences with the curriculum to show how it can help bridge the 'gap'.

Computational Biology↗
PubMed2002

Professional's Information Link (PiL): a web-based asynchronous consultation service.

Despite the massive growth of on-line information resources, many clinicians still prefer to obtain information from other clinicians, particularly those to whom they refer patients. Based on this notion and an information needs assessment, we developed the Professional's Information Link (PiL), a Web-based asynchronous consultation service to facilitate question answering between rural clinicians and an academic medical center. The system aims to provide answers to questions within two working days. It also includes patient handouts and continuing medical education resources. Our preliminary evaluation demonstrates modest but enthusiastic use of the system.

Academic Medical Centers↗