PubMed Health⌕ Search

Biomedical subjects

Suzanne Bakken

Publications and source records attributed to Suzanne Bakken.

12 recordsLinked to original sources

Integrating nursing diagnostic concepts into the medical entities dictionary using the ISO Reference Terminology Model for Nursing Diagnosis.

OBJECTIVE: The purposes of the study were (1) to evaluate the usefulness of the International Standards Organization (ISO) Reference Terminology Model for Nursing Diagnoses as a terminology model for defining nursing diagnostic concepts in the Medical Entities Dictionary (MED) and (2) to create the additional hierarchical structures required for integration of nursing diagnostic concepts into the MED. DESIGN AND MEASUREMENTS: The authors dissected nursing diagnostic terms from two source terminologies (Home Health Care Classification and the Omaha System) into the semantic categories of the ISO model. Consistent with the ISO model, they selected Focus and Judgment as required semantic categories for creating intensional definitions of nursing diagnostic concepts in the MED. Because the MED does not include Focus and Judgment hierarchies, the authors developed them to define the nursing diagnostic concepts. RESULTS: The ISO model was sufficient for dissecting the source terminologies into atomic terms. The authors identified 162 unique focus concepts from the 266 nursing diagnosis terms for inclusion in the Focus hierarchy. For the Judgment hierarchy, the authors precoordinated Judgment and Potentiality instead of using Potentiality as a qualifier of Judgment as in the ISO model. Impairment and Alteration were the most frequently occurring judgments. CONCLUSIONS: Nursing care represents a large proportion of health care activities; thus, it is vital that terms used by nurses are integrated into concept-oriented terminologies that provide broad coverage for the domain of health care. This study supports the utility of the ISO Reference Terminology Model for Nursing Diagnoses as a facilitator for the integration process.

Dictionaries, Medical as Topic↗

Impact of a physician's order entry (POE) system on physicians' ordering patterns and patient length of stay.

OBJECTIVE: To investigate the impact of a physician's order entry (POE) system on physicians' ordering patterns and patient length of stay. DESIGN: Prospective time series study at pre-POE, 3 months and 6 months after POE at a tertiary teaching hospital in Korea. The study period was from June 1999 to May 2000. MEASUREMENTS: The number of orders (doctor's, PRN, medication, changed, canceled orders), number of tests (complete blood count, chemistry, chest X-ray, stat laboratory, serum electrolytes tests), appropriateness and length of patient stay were measured through chart review of 171 in-patients (liver disease, renal disease, gastrectomy, simple mastectomy). RESULTS: The number of doctors' orders, PRN, and medication orders significantly increased after POE. The numbers of changed and canceled orders were not significantly different between pre- and post-POE. The number of stat lab tests significantly decreased after POE. There was no change in appropriateness of patients' hospital stay between pre- and post-POE. Length of stay significantly decreased (P=0.049). CONCLUSION: POE contributed to improving the quality of care in two ways: improvement of auditability by recording the medical services for patients in more precise and transparent manner, and more appropriate utilization of resources by decreasing the number of stat diagnostic tests and length of stay.

Analysis of Variance↗

Economic evidence for evidence-based practice.

PURPOSE: To explicate (a) the types of economic analyses available to nurses, (b) the measurement of costs in different types of economic evaluations, (c) recommendations for standardization, and (d) the assessment of economic evaluations for evidence-based practice. METHODS: Five types of economic analyses are reviewed. Recommendations for standardization of cost-effectiveness analyses are included as well as a worksheet for use in critiquing economic evaluations for validity and applicability to clinical settings. FINDINGS: Limited knowledge and a lack of consistent approaches to economic analyses are evident in the nursing and health care literature. However, nurses have not contributed to the conduct of rigorous economic evaluations or research to the extent found in other health care disciplines. CONCLUSIONS: Basing nursing practice on the best available evidence is now the expected standard of care. Applying economic evidence to practice requires understanding the methods used to conduct economic evaluations and to analyze the rigor of such evaluations.

Cost-Benefit Analysis↗

Information model and terminology model issues related to goals.

Goal statements are a significant component of structures that support the process of health care delivery such as practice guidelines, standards of care, critical pathways, disease management plans, patient education plans, and nursing care plans. Although these structures are increasingly computer-based, there has been little attention to the formal representation of goal statements. This is a necessary prerequisite for enabling semantic interoperability. Existing and evolving information model and terminology model standards offer some approaches that may be applicable to goal statements, however, a number of issues require resolution

Goals↗

Theoretical, empirical and practical approaches to resolving the unmet information needs of clinical information system users.

We hypothesize that when clinicians review clinical data in an electronic medical record, the information needs that arise are predictable, based on a number of situational factors. Because our theory does not say, exactly, what those needs are, we are using an empirical approach (observation) to detecting and categorizing them. For each need, we can construct an "infobutton" that links the clinical data to an on-line information resource. We have constructed an Infobutton Manager to match the data being reviewed by clinicians with context-appropriate infobuttons. This paper describes how the theory, observations, and practical solutions can come together to improve clinician decision making by resolving information needs.

Decision Making, Computer-Assisted↗

Formal nursing terminology systems: a means to an end.

In response to the need to support diverse and complex information requirements, nursing has developed a number of different terminology systems. The two main kinds of systems that have emerged are enumerative systems and combinatorial systems, although some systems have characteristics of both approaches. Differences in the structure and content of terminology systems, while useful at a local level, prevent effective wider communication, information sharing, integration of record systems, and comparison of nursing elements of healthcare information at a more global level. Formal nursing terminology systems present an alternative approach. This paper describes a number of recent initiatives and explains how these emerging approaches may help to augment existing nursing terminology systems and overcome their limitations through mediation. The development of formal nursing terminology systems is not an end in itself and there remains a great deal of work to be done before success can be claimed. This paper presents an overview of the key issues outstanding and provides recommendations for a way forward.

Information Systems↗

Developing, implementing, and evaluating decision support systems for shared decision making in patient care: a conceptual model and case illustration.

The importance of including patient preferences in decisions regarding their care has received increased emphasis over recent years. Medical informatics can play an important role in improving patient-centered care by developing decision support systems to support the inclusion of patient preferences in clinical decision making. However, development of such systems is a complex task that requires the integration of knowledge from four major research areas: (1) the clinical domain, for understanding of the decision problem, (2) decision science and research on shared decision making, to provide the theoretical underpinnings and techniques for eliciting patient preferences; (3) medical informatics, to provide the technology and algorithms for the collection, processing, structure, presentation and integration of patient preferences into patient care; and (4) organizational knowledge, to adapt the decision support system to the practices and work flows of clinicians and the organizational and professional context of the clinical practice settings. This paper describes a conceptual model comprising eight key components that are important to be considered in the development, implementation, and evaluation of decision support systems for shared decision making in patient care. The example of CHOICE, a decision support system to assist nurses in eliciting and integrating rehabilitation patients' preferences for functional performance in patient care is used to illustrate the eight components.

Choice Behavior↗

Implementing a Web-based information resource at an inner-city community church: lessons learned.

The objective of this project was to develop and implement electronic access to HIV/AIDS information resources at Glide Memorial Church in San Francisco, CA. This involved developing tailored Web-based access to the relevant information for the Glide Clinic patients. In addition, the project deployed workstations in 2 clinic areas and provided support to clinic patients as they learned to access the information resources. This article describes the experience with information retrieval in a clinic setting for underserved patients, including lessons learned, effective strategies, and anecdotes of effect on patients. Required nursing informatics competencies in this particular area are also addressed.

Attitude to Health↗