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Biomedical subjects

J P Turley

Publications and source records attributed to J P Turley.

9 recordsLinked to original sources

Data mining: a strategy for knowledge development and structure in nursing practice.

Data mining is an emerging technique used more widely by the business world than the world of nursing and health care. However, this strategy can be helpful for improving the quality of decision making by clinicians and health care administrators. This paper addresses the concepts and techniques of data mining that could be useful for practicing nurses as well as nurse administrators. Data mining can be an important tool for the development of nursing knowledge and knowledge structures. An example of the use of the technique in an inpatient setting is provided and insights from the process are discussed.

Cluster Analysis↗

Developing informatics as a discipline.

Informatics is developing in all of the disciplines related to healthcare. There are many aspects to informatics development which frequently appear to be unrelated and to lack cohesion. This paper builds on the development of a model for nursing informatics and proposes how the components of that model can interact to provide an outline for the development of informatics as a discipline. A understanding of the disciple allows us to organize the existing research and more importantly to understand the areas where research is lacking as the discipline is evolving.

Classification↗

Toward a model for nursing informatics.

PURPOSE: To propose a new model for the development of nursing informatics based on historical precedent. SIGNIFICANCE: Nursing informatics is expanding rapidly. The proposed model aids in understanding the areas of research, relating them to each other, and it shows areas where work is missing or should be extended. ORGANIZING FRAMEWORK: Nursing informatics as the interaction of cognitive science, computer science, and information science resting on a base of nursing science. IMPLICATIONS: As this model is tested, it can act as an organizing framework to understand and relate studies of nursing informatics and give organization for future research, education, and development.

Computer Communication Networks↗

Professional culture models of science and data types for computerized health records.

This paper examines the influence of professional culture and the types of science on clinical judgments and decision making. The advent of electronic records that can store richer and more complex data types will allow different professional disciplines to store data that more appropriately reflect the profession and its decisions. The results should be improved patient care.

Decision Making↗

The relationship between nursing and medical cultures: implications for the design and implementation of a clinicians' workstation.

The culture of different professions is manifest in how members relate to each other and in how they organize and store data and information. For developers of clinical workstations intended to support not only the independent tasks but also the interdependent tasks of multiple health professionals, recognition of cultural differences among groups of health care professionals may be of great importance. Allowance for and adaptation to these differences are likely to be important for both acceptance and effective use of clinical workstations. Examples are drawn from Nursing and Medicine based on a clinician's workstation currently in use and undergoing continuous development.

Clinical Medicine↗

A framework for the transition from nursing records to a nursing information system.

The future of patient record keeping is being developed now. Critical aspects are in place with the development of computer communication standards for health care. The Institute of Medicine's report on the computerized patient record has galvanized many in the health care field to rethink their methods of record keeping. Nurses need to examine the history of the nursing record and look toward the development of a comprehensive nursing information system. Nurses, along with the other disciplines, must examine what they want the system of the future to encompass. A suggested framework for the information system has four major nursing components: (1) data storage component, (2) transaction log, (3) nursing decision support systems, and (4) an engine to link and combine the first three components and to present a consistent easy-to-use interface to the nurse. Done properly, this approach will reduce the amount of time nurses spend charting, add dimension to their notation, and increase the efficiency of data usage for clinical practice. The nursing information system must allow information availability in a manner that accentuates quality practice while releasing the nurse from time-consuming record keeping. These goals are possible to meet, but only if nurses plan for the design now, before it becomes a fait accompli.

Databases, Factual↗