Search PubMed⌕ Search

Biomedical subjects

Leanne M Currie

Publications and source records attributed to Leanne M Currie.

17 recordsLinked to original sources
PubMed2006

A framework for evaluating image segmentation algorithms.

The purpose of this paper is to describe a framework for evaluating image segmentation algorithms. Image segmentation consists of object recognition and delineation. For evaluating segmentation methods, three factors-precision (reliability), accuracy (validity), and efficiency (viability)-need to be considered for both recognition and delineation. To assess precision, we need to choose a figure of merit, repeat segmentation considering all sources of variation, and determine variations in figure of merit via statistical analysis. It is impossible usually to establish true segmentation. Hence, to assess accuracy, we need to choose a surrogate of true segmentation and proceed as for precision. In determining accuracy, it may be important to consider different 'landmark' areas of the structure to be segmented depending on the application. To assess efficiency, both the computational and the user time required for algorithm training and for algorithm execution should be measured and analyzed. Precision, accuracy, and efficiency factors have an influence on one another. It is difficult to improve one factor without affecting others. Segmentation methods must be compared based on all three factors, as illustrated in an example wherein two methods are compared in a particular application domain. The weight given to each factor depends on application.

Algorithms↗
PubMed2006

Fall and injury prevention.

Falls and related injuries are increasingly being recognized as a nursing-sensitive quality indicator, and they continue to be an unsolved patient safety problem in inpatient and outpatient care areas as well as in the community at large. The purpose of this review is to summarize the current research related to fall and injury prevention. The chapter is organized presenting research in (1) the community and (2) acute and long-term care settings. For each setting, the research that addresses risk factors, risk assessment instruments, and fall and injury prevention efforts are reviewed. There is a large body of research that investigates fall and injury prevention across the care continuum. In the community setting, targeted risk evaluation in the emergency department and management of vitamin D deficiency appear to be promising preventive methods. However, further research needs to explore staffing ratios, automated methods of assessing and communicating fall risk, improved methods and timing of risk evaluation and methods by which existing and new evidence might be translated into practice.

Accidental Falls↗
PubMed2006

Clinical cognition and biomedical informatics: Issues of patient safety.

Recent developments in biomedical informatics research have afforded possibilities for great advances in health care delivery. As in most domains, there is a gulf between technologic artifacts and end users, which compromises the culture of safety in the workplace. This necessitates a broadening of disciplinary boundaries to consider cognitive and social factors related to the design and use of technology. The authors argue for a place of prominence for cognitive science in understanding nursing factors associated with patient safety. Cognitive science provides a framework for the analysis and modeling of complex human performance. Studies of clinical cognition can meaningfully inform and shape design, development, and assessment of information systems. Furthermore, they have a decisive impact on whether information technology has a positive influence on human performance and are especially important in understanding and promoting safe practices. These issues are discussed in the context of clinical informatics with a focus on nursing practice.

Cognitive Science↗
PubMed2006

Requirements specification for automated fall and injury risk assessment.

Fall and injury prevention continues to be a challenge in the acute care environment. Identification of patients at risk can guide preventive care for these individuals. The following study employed usability engineering methods via a series of focus groups, to specify functional and design requirements for an automated Fall-Injury Risk Assessment Instrument. Focus groups were held with interdisciplinary decision makers and end-users to identify functional and design specifications for the automated instrument. The results were mapped to usability heuristics, which were used to guide design decisions. The main elements identified were data completeness, workflow processes, resource access, and cognitive burden. The main usability factors identified were efficiency of user, match with real world, error prevention, recognition not recall and minimalist design. Focus groups are a useful methodology to specify requirements for healthcare applications. Outcomes evaluation of the automated instrument is in process.

Academic Medical Centers↗
PubMed2006

An automated approach to studying health resource and infobutton use.

Many studies have found that clinicians require access to medical knowledge sources while viewing data in their patients' health records. To address this need, we have been developing links to various on-line health information resources from our Web-based clinical information system (WebCIS). Clinicians can access these resources through a "Health Resources" Web page or use context-sensitive "infobuttons" that automatically link to specific resources. To assist in understanding how clinicians interact with these two mechanisms, we have been exploring the use of an automated approach to answer questions about usage for guiding the further development of links to resources. In this paper, we discuss the use of a knowledge discovery technique (CIS Usage Mining) to obtain usage statistics from log files that record interactions with health resources and infobuttons in WebCIS, describe a Web-based interface developed to present the results, and summarize how the results could be applied. The availability of effective links to on-line medical knowledge sources from the patient health record can assist in resolving information needs, potentially improving patient care and decision-making.

Access to Information↗
PubMed2006

Mobile decision support for advanced practice nurses.

Mobile Decision Support for Advanced Practice Nurses (MODS-APN) is a PDA-based decision support tool designed to assist APNs in the diagnosis and management of smoking cessation, obesity, and depression. It is currently being tested in a randomized, controlled trial (RCT) in a sample of APN students to determine the effect on adherence to clinical practice guideline (CPG) recommendations. Tools such as MODS-APN have the potential to increase CPG adherence, enhance evidence-based practice, promote patient safety, and in the long term improve patient outcomes.

Computers, Handheld↗
PubMed2005

Heuristic evaluation of paper-based Web pages: a simplified inspection usability methodology.

Online medical information, when presented to clinicians, must be well-organized and intuitive to use, so that the clinicians can conduct their daily work efficiently and without error. It is essential to actively seek to produce good user interfaces that are acceptable to the user. This paper describes the methodology used to develop a simplified heuristic evaluation (HE) suitable for the evaluation of screen shots of Web pages, the development of an HE instrument used to conduct the evaluation, and the results of the evaluation of the aforementioned screen shots. In addition, this paper presents examples of the process of categorizing problems identified by the HE and the technological solutions identified to resolve these problems. Four usability experts reviewed 18 paper-based screen shots and made a total of 108 comments. Each expert completed the task in about an hour. We were able to implement solutions to approximately 70% of the violations. Our study found that a heuristic evaluation using paper-based screen shots of a user interface was expeditious, inexpensive, and straightforward to implement.

Computer Graphics↗
PubMed2005

Evaluation frameworks for nursing informatics.

Rigorous evaluation of informatics applications in healthcare is important so that the impact of such systems can be understood. Although many quantitative methods have been employed to evaluate informatics systems, there is a growing trend to utilized qualitative methods during both the formative and summative phases of research. Several evaluation frameworks that have been proposed highlight the need for both qualitative and quantitative evaluation methods in the development and post-implementation phases of informatics systems development. Recommendations regarding the timing, type and use of qualitative methods differ for each of these frameworks. This paper examines the strengths and weaknesses of the published evaluation frameworks and enumerates the qualitative research methods in use in each of these frameworks.

Nursing Informatics↗
PubMed2005

Clinical cognition and biomedical informatics: issues of patient safety.

Recent developments in biomedical informatics research have afforded possibilities for great advances in health care delivery. These exciting opportunities also present a number of challenges to the implementation and integration of technologies in the workplace. As in most domains, there is a gulf between technologic artifacts and end users, which compromises the culture of safety in the workplace. Because clinical practice is a human endeavor, there is a need for bridging disciplines to enable clinicians to benefit from rapid technologic advances. This, in turn, necessitates a broadening of disciplinary boundaries to consider cognitive and social factors related to the design and use of technology. The authors argue for a place of prominence for cognitive science in understanding nursing factors associated with patient safety. Cognitive science provides a framework for the analysis and modeling of complex human performance. Studies of clinical cognition can meaningfully inform and shape design, development and assessment of information systems. Furthermore, they have a decisive impact on whether information technology has a positive influence on human performance and are especially important in understanding and promoting safe practices. These issues are discussed in the context of clinical informatics with a focus on nursing practice.

Biomedical Engineering↗
PubMed2004

Practical considerations for exploiting the World Wide Web to create infobuttons.

BACKGROUND: We are studying ways to provide automated, context-specific links (called "infobuttons") between clinical information systems (CIS) and other information resources available on the World Wide Web. As part of this work, we observed the information needs that arose when clinicians used a CIS and we classified those needs into generic questions. We then sought general methods for accessing information resources to answer the questions. METHODS: For each generic question, we identified a satisfactory resource and then developed a method for retrieving from it the information relevant to the question. We then studied these methods to characterize them into general approaches. RESULTS: We identified six general approaches and describe them in detail. These approaches range in complexity from simple, hard-coded links to intelligent agents and calculators. CONCLUSION: Web-based information resources can be exploited using a relatively small number of methods, although the specific methods require custom solutions. Standard methods for accessing Web-based resources would simplify the task of linking to CISs.

Decision Support Systems, Clinical↗
PubMed2004

Development and representation of a fall-injury risk assessment instrument in a clinical information system.

The potential for informatics solutions to address inpatient safety issues is significant; however, several challenges are associated with the development of patient safety related informatics applications. These challenges include: 1) the identification and/or development of valid and reliable instruments; 2) adequate representation of key safety concepts, constructs, and associated concepts in the clinical information system; and 3) identification of data sources for instrument pre-population. As part of a larger project aimed at identifying and addressing the information needs of clinicians while using a clinical information system, an electronic fall and injury risk assessment instrument is in development to address a hospital-based fall and injury prevention initiative. The concepts contained in the instrument are well represented by Clinical LOINC and the UMLS. Associated concepts have been identified in the existing clinical information system data dictionary for pre-population of the instrument.

Accidental Falls↗
PubMed2003

The classification of clinicians' information needs while using a clinical information system.

INTRODUCTION: Information needs are prevalent in clinical practice. They represent a potential source of medical errors. This study seeks to empirically determine the information needs of clinicians while using a clinical information system (CIS), and characterize those needs. In addition this paper will provide the framework necessary for the development of the solutions to these information needs. METHODS: Clinicians were observed while using a CIS. They were recorded on audiotape and the computer screen recorded on videotape. The types of question during these interactions were recorded. A classification of the questions provided the conceptual and architectural basis for the development of context-sensitive links to information resources, called infobuttons. RESULTS: There were 154 information needs. The questions were grouped into seven categories. Within these categories we were able to identify eleven specific repeated question patterns, accounting for 72 or 47% of users' questions. DISCUSSION: These findings are applicable to a number of settings and can be generalized to other institutions. The proposed infobuttons based on six categories, will be navigational ('how-to.' links), cross-reference ('what is the em leader ' links), domain knowledge buttons in the areas of laboratory, pharmacy, diagnosis, and definitions/general information. Using these groups we were able to identity eleven patterns of questions.

Clinical Medicine↗
PubMed2003

Use of online resources while using a clinical information system.

BACKGROUND: Clinical information system (CIS) use is likely to evoke information needs, yet information resources use during CIS use has not been studied. METHODS: We used CIS log files and a survey to characterize clinicians' use of resources and infobuttons (context-sensitive links from a CIS to specific resources) while using a CIS. RESULTS: We examined 38,763 uses of resources and infobuttons by 2,607 users to identify specific sources and contexts (CIS functions) in which they used them. Laboratory results review was the most frequent context and Micromedex was the most popular resource. Differences in resource use were related to context and user type. The survey confirmed that resources and infobuttons were perceived as useful for patient-specific questions while using a CIS. CONCLUSIONS: Understanding context- and user-type-specific information needs can guide the development of infobuttons for use in a CIS.

Clinical Laboratory Techniques↗
PubMed2003

Clinical information needs in context: an observational study of clinicians while using a clinical information system.

INTRODUCTION: The development of tools to meet the information needs of clinicians requires an understanding of the clinician and the context in which clinical decisions are being made. METHODS: We conducted an observational study of clinicians' information needs via think-aloud protocols during which we observed physicians and nurses as they used the clinical information system. Protocol analysis was then used to identify the information needs events, the types of questions that were asked, the method of meeting that need, the success or failure of meeting the specific information need, and the context in which it arose. RESULTS: Results indicated that a) unmet information needs occur frequently and that b) the predominant feature of these unmet needs is that they are patient-related or domain-specific. Two categories of context: laboratory and medical communication accounted for more than half of the events.

Hospital Information Systems↗
PubMed2003

Characterizing information needs and cognitive processes during CIS use.

Medical errors are often associated with inadequate cognitive processing that is based upon impaired access to information.1 Understanding the information needs of nurses and physicians' when using a clinical information system (CIS) is difficult largely because there are few systematic attempts made to do so. We collected 15.5 hours of data of nurses and physicians' CIS interactions in three clinical environments (cardiac ICU, a general medical/surgical nursing, and an ambulatory clinic). We accomplished this through observational, cognitive-based methods (e.g., thinking aloud during interaction) and the video capturing of events with a portable usability laboratory.2 We developed a systematic approach to identify and define in-context clinical information needs while using a CIS, and determine how to categorize and code such events. 3

Cognition↗
PubMedDate not supplied

Adequacy of evolving national standardized terminologies for interdisciplinary coded concepts in an automated clinical pathway.

PURPOSE: The purpose of this analysis was to determine the adequacy of evolving national standardized terminologies with regard to coded data elements (concepts) in an automated clinical pathway designed to drive adherence with the American College of Cardiology (ACC)/American Heart Association (AHA) Guidelines for Evaluation and Management of Chronic Heart Failure. METHOD: Concepts were identified in a previously developed automated clinical pathway and associated tools. Once identified, concepts were categorized according to the conceptual domains identified by Campbell et al. (1997). A review of evolving national standardized terminologies and coding systems was initiated to determine if the identified concepts had corresponding representation in one of these coding systems. Available codes were then evaluated for adequacy with respect to national guideline adherence measures put forth by the Centers for Medicare/Medicaid Services (CMS) and Joint Commission on Accreditation of Healthcare Organizations (JCAHO). RESULTS: The concept domain model put forth by Campbell et al. (1997) worked well for organizing concepts and for providing a useful framework for data analysis. Using our method, 260 unique pathway concepts were identified, of which, 91.9% (239) are represented by one or more of the standardized coding systems. Logical Observation Identifiers Names and Codes (LOINC) and SNOMED CT alone represented 86.2% of the concepts. Seventy percent (70%) of the clinical pathway concepts are represented using the Health Insurance Portability and Accountability Act (HIPAA) mandated national terminologies alone. Less than 50% of CMS and JCAHO guideline adherence concepts were found to have representation in the HIPAA mandated terminologies. The addition of Logical Observation Identifier Names and Codes (LOINC) and SNOMED CT improved representation up to 86.4%, but did not include representation of all concepts necessary for complete electronic monitoring of guideline adherence. CONCLUSIONS: Evolving national standardized terminologies provided matching terms for the majority of the data elements in the automated clinical pathway. Standard clinical terminologies with granular terms such as LOINC and SNOMED CT are required to represent the depth and detail of certain procedures and guideline-based care. Gaps exist in Health Insurance Portability and Accountability Act (HIPAA) mandated terminologies for representing interdisciplinary concepts in national adherence measures.

Computational Biology↗