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Biomedical subjects

Jacqueline Moss

Publications and source records attributed to Jacqueline Moss.

9 recordsLinked to original sources

High-reliability teams and situation awareness: implementing a hospital emergency incident command system.

To enhance disaster preparedness, hospitals are beginning to implement the Hospital Emergency Incident Command System. Although Hospital Emergency Incident Command System provides a template for disaster preparation, its successful implementation requires an understanding of situation awareness (SA) and high-reliability teams. The authors present the concept of SA and how this concept relates to team reliability in dynamic environments. Then strategies for increasing SA and team reliability through education, training, and improved communication systems are discussed.

Disaster Planning↗

Computerized provider order entry: strategies for successful implementation.

An estimated 522,000 serious medication errors can be eliminated in the United States each year through the use of computerized provider order entry. However, the implementation of computerized provider order entry is being slowed down by resistance from clinicians, particularly physicians. Nurses understand the work of physicians and are in a unique position to help overcome their resistance and smoothen the transition to computerized provider order entry. The authors outline the strategies for nurses to increase organizational acceptance during the process of computerized provider order entry implementation.

Attitude of Health Personnel↗

Informatics challenges for the impending patient information explosion.

As we move toward an era when health information is more readily accessible and transferable, there are several issues that will arise. This article addresses the challenges of information filtering, context-sensitive decision support, legal and ethical guidelines regarding obligations to obtain and use the information, aligning patient and health professionals' expectations in regard to the use and usefulness of the information, and enhancing data reliability. The authors discuss the issues and offer suggestions for addressing them.

Confidentiality↗

Improving operating room coordination: communication pattern assessment.

OBJECTIVE: To capture communication patterns in operating room (OR) management to characterize the information needs of OR coordination. BACKGROUND: Technological applications can be used to change system processes to improve communication and information access, thereby decreasing errors and adverse events. The successful design of such applications relies on an understanding of communication patterns among healthcare professionals. METHODS: Charge nurse communication was observed and documented at four OR suites at three tertiary hospitals. The data collection tool allowed rapid coding of communication patterns in terms of duration, mode, target person, and the purpose of each communication episode. RESULTS: Most (69.24%) of the 2074 communication episodes observed occurred face to face. Coordinating equipment was the most frequently occurring purpose of communication (38.7%) in all suites. The frequency of other purposes in decreasing order were coordinating patient preparedness (25.7%), staffing (18.8%), room assignment (10.7%), and scheduling and rescheduling surgery (6.2%). CONCLUSION: The results of this study suggest that automating aspects of preparing patients for surgery and surgical equipment management has the potential to reduce information exchange, decreasing interruptions to clinicians and diminishing the possibility of adverse events in the clinical setting.

Appointments and Schedules↗

A comparison of communication needs of charge nurses in two operating room suites.

To achieve the potential inherent in the use of computer applications in distributed environments, we need to understand the information needs of users. Communication is the method by which information is transferred and is essential for all organizational interaction. The primary goal of operating room coordination is to insure the prompt, safe, and effective care of surgical patients. Nevertheless, larger organizational goals and characteristics can influence individual operating room information needs. The purpose of this paper is to describe the differing information needs in two operating suites by documenting the communication of OR charge nurses. A data collection tool was developed to record: 1) the purpose of the communication, 2) mode of communication, 3) the target individual, and 4) the length of time taken for each occurrence. The chosen data collection categories provided a functional structure for data collection and analysis involving communication. Study findings are discussed within the context of opportunities for application design

Appointments and Schedules↗

Evaluation of the draft international standard for a reference terminology model for nursing actions.

PURPOSE: The purpose of this study was to evaluate the draft ISO reference terminology model (RTM) for nursing actions. Nursing RTM models attempt to include concepts that are universally represented in nursing documentation to improve the depiction of nursing practice in computerized systems. METHOD: Content analysis was used to decompose interventions into words and phrases, which were then mapped to the six model categories used to represent nursing actions in the draft ISO RTM. The decomposition of interventions was applied to nurses' documentation of pain interventions entered into a clinical information system. FINDINGS: Consistent with the ISO standard requirements, all (100.00%) of the interventions contained an word or phrase and a < >. Additional findings are discussed in relation to earlier studies of terminology models. CONCLUSIONS: It is recommended that terminology and information system developers consider this model in their ongoing system development, evaluation, maintenance, and revisions. Further evaluation of the ISO RTM for nursing will contribute to the goals of this specific model and the harmonization and integration with other health care models.

Computational Biology↗