Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Data Storage And Retrieval”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,081 records · Page 60Linked to original sources

Full-text and bibliographic database searching in the health sciences: an exploratory study comparing CCML and MEDLINE.

An exploratory study to investigate perceived differences between searching full-text databases and bibliographic databases was undertaken. BRS's full-text database, Comprehensive Core Medical Library (CCML), and BRS's current MEDLINE file (MESH) were compared. Identical literature search topics were run in the two databases and the results evaluated regarding currency of search results, success in answering specific questions, uniqueness of information retrieved, and relevancy of retrieval. Additionally, connect time and costs were noted to aid in determining the feasibility of offering full-text database searching as a service for which the authors' institution would charge.

Data Collection↗

Information search in health care decision-making: a study of word-of-mouth and internet information users.

This paper investigates how individual consumers may differ in their information search behavior in health care decision-making. Results indicate that most consumers still use word-of-mouth as a primary information source for health care decisions. However, usage of the Internet is increasing. The results of this study indicate that consumers who are most likely to use the Internet for health care information are single, younger, and less educated, whereas consumers who are most likely to use word-of-mouth are middle-aged, married, with higher income and higher education. Surprisingly, no significant gender difference was found in information search behavior for health care decision-making. The results also suggest that consumers with the highest tendency to use word-of-mouth are also the lowest users of the Internet in health care decision-making. Implications of these findings are discussed.

Adult↗

CD-ROM use by rural physicians.

A survey of 131 eastern Washington rural family physicians showed that 59.5% owned a personal computer with a CD-ROM drive. There was an inverse correlation between the physicians' years in practice and computer ownership: 10 years or less (80.6%), 11 to 20 years (72.2%), 21 to 30 years (55.6%), and more than 30 years (32.4%). Those physicians who owned a computer used their CD-ROM for entertainment (52.6%), medical textbooks (44.9%), literature searching software (25.6%), drug information (17.9%), continuing medical education (15.4%), and journals on CD-ROM (11.5%). Many rural doctors who owned computers felt that CD-ROM software helped them provide better patient care (46.8%) and kept them current on new information and techniques (48.4%). Indications for medical education, libraries and CD-ROM publishers are noted.

Adult↗

The electronic patient records of the Hannover Medical School.

In this paper, the successful introduction of a commercially available electronic patient record archiving system at the Hannover Medical School is described. Since 1996, more than 11 million document sheets of 130,000 patient records have been stored electronically. Currently, 100,000 sheets are stored each week.

Data Collection↗

XML-based visual data mining in medicine.

Medical databases in general are characterized by a high degree of complexity in terms of quantity of items, number of parameter values and data types (free text, categorical, numerical and other). Substantial domain knowledge is required for adequate formalization of medical entities. In this context we developed medical database plot (mdplot), a data mining tool to visualize both structure and quality of data in medical databases to identify items suitable for evaluation. Data models are provided in XML format. Missing data is identified to enable targeted efforts to improve data quality prior to analysis. Database items are classified as 1:1- related to the patient (i.e. variables are collected once per patient) and 1:n related. mdplot provides a list of all classes contained in a database, the number of records each and a condensed bar chart for semi-quantitative description of completeness according to four types of items: categorical, numerical, text and other. All items in a category are grouped from left to right, the height of each bar represents the proportion of non-missing values with respect to the total number of records in the class; thus the amount of content in a specific class is visualized. By selection of a specific class, a detailed description of it is provided including mean completeness in each item category as well as number of values per item. The new methodology was applied to a cardiological research database consisting of 619 items on 88 patients.

Atrial Fibrillation↗

Gradual approach key to successful transition to electronic records.

Implementing an electronic document imaging system hasn't exactly been pain-free, according to health information managers at the DeKalb Regional Healthcare System in Atlanta. But DeKalb's nearly four-year project has gone well thanks to a gradual phase-in of the system.

Electronic Data Processing↗

Analysis of human factors in aircraft accidents.

This paper describes our current approach and accomplishments in the analysis of human factors aspects of aircraft accidents. Emphasis has been placed upon methods of analysis of Boards of Inquiry and human factors information storage and retrieval methods.

Accidents, Aviation↗

Automated discovery of patient-specific clinician information needs using clinical information system log files.

Knowledge about users and their information needs can contribute to better user interface design and organization of information in clinical information systems. This can lead to quicker access to desired information, which may facilitate the decision-making process. Qualitative methods such as interviews, observations and surveys have been commonly used to gain an understanding of clinician information needs. We introduce clinical information system (CIS) log analysis as a method for identifying patient-specific information needs and CIS log mining as an automated technique for discovering such needs in CIS log files. We have applied this method to WebCIS (Web-based Clinical Information System) log files to discover patterns of usage. The results can be used to guide design and development of relevant clinical information systems. This paper discusses the motivation behind the development of this method, describes CIS log analysis and mining, presents preliminary results and summarizes how the results can be applied.

Critical Pathways↗

A local report entry system for governmental collection of medical adverse events.

Japanese government started the governmental collection of medical adverse events in October 2001. That provides data entry methods by hospitals, not by departmental risk managers. It was the barrier to wide spread. A Local Report Entry System was developed, which allowed risk managers to report by their HIS terminals with its user-friendly graphical user interface.

Data Collection↗

Requirements of tools and techniques to support the entry of structured nursing data.

The benefits of structured data are widely accepted within the nursing informatics community. However, despite the existence of structured data in the form of well-established nursing terminologies, computer-based nursing record systems are yet to achieve widespread adoption and few of the potential benefits have yet to be realized. In this paper we argue the need for tools and techniques to support the entry of structured nursing data into computer-based systems. In the absence of a generally accepted solution, we build on preliminary work carried out at the 2002 Nursing Terminology Summit and analyze the results of other studies in order to identify a preliminary set of requirements or desiderata for such tools and techniques. These requirements are centered on: how structured data is presented to users for selection; how to mediate between a variety of conceptual structures--terminologies, information models, user interface models and models of the clinical process; and how to reduce the considerable modeling burden through reuse of modeling constructs. Further applied research is needed with the ultimate goal of developing a general solution that will benefit nurses, other professionals and ultimately their patients.

Data Collection↗

The establishment of the photo management system for orthodontics and its clinical application.

It is necessary for orthodontists to collect and analyze the patients' photographic data. By conventional methods, these photo data were commonly saved on film, which were frail and often resulted in data loss. Furthermore, it is not convenient for the orthodontists to consult and study these data during clinical research. A critical problem thus arises in managing these photo data scientifically. The computer technique and picture processing method were employed in the present study to establish the Photo Management System for Orthodontics (PMSO), which makes the administration of patients' photo data more scientific, convenient, and effective than before. This system is characterized as follows: (1) Clinical orthodontists designed and programmed the system, which is "close to clinical reality and serves the clinic". Orthodontists can easily use it without any training course. (2) The images can be imported from many devices, such as digital cameras, scanners, and electronic data storage media such as floppy disks. (3) Even two groups of photos (four images) could be displayed in the same window for comparison and study. This function allows orthodontists to easily observe the differences in the same patient's photos at different stages, which is important to obtain comprehensive knowledge of the patient. (4) The network technique makes it possible for the photos to be shared. The orthodontists can get the patients' photos through the network without going to the radiology department or the imaging room. (5) It is helpful for orthodontic research since the photos can be exported easily in different ways. (6) This is shared software; orthodontists can use it for free.

Computer Communication Networks↗

Automation of data acquisition and of experiment control: application to the study of sleep-wake cycles and behavioral paradigms.

The low cost of microcomputers allows them to be dedicated full time to data acquisition and analysis of experimental paradigms. The usual interfaces required for such interaction with the experiment are briefly explained, namely, analog-to-digital converters, input-output control lines and real time clocks. Some basic concepts on the use of microcomputers for the automation of data acquisition and control are summarized, including the characterization of waveshapes, the structure of data storage and on-line data reduction. Off-line, the matrices generated by the data acquisition program become the input for ad-hoc processing programs. Precision, flexibility and fluidity of analysis are outstanding advantages of computer controlled setups. A system for automation of sleep studies and a system for automation of scheduled-controlled behavior are presented as working examples.

Activity Cycles↗

Evaluation of the Newton Pen-Pad as a tool for collecting clinical research data at the bed-side.

A protocol for the study of practice variation between Quebec Intensive Care Units in the treatment of myocardial infarction by thrombolysis was coded into the Newton Pen-Pad. This tool for the direct recording of clinical data was tested in the working environment by research nurses of 4 different teaching hospitals. Data was sent directly from the pen-pad by telecommunication to the information coordinating center. The results of this evaluation confirm the reliability and robustness of this approach which promises to be an important tool for applied clinical research.

Attitude to Computers↗