Information needs in day-to-day operations management in hospital units: A cross-sectional national survey

Information Management in Hospital Unit Daily Operations: A Descriptive Study With Nurses and Physicians

Operations management of a hospital unit is a shared activity involving nursing and medical professionals, characterized by suddenly changing situations, constant interruptions, and ad hoc decision-making. Previous studies have explored the informational needs affecting decision-making, but only limited information has been collected regarding factors affecting information management related to the daily operations of hospital units. The aim of this study was to describe the experiences of nursing and medical professionals of information management in the daily operations of hospital units. This qualitative study consists of interviews following the critical incidence technique. Twenty-six nurses and eight physicians working in operational leadership roles in hospital units were interviewed, and the data were subjected to thematic analysis. The data analysis showed that strengths of current systems were organizational operational procedures, general instruments supporting information management, and a digital operations dashboard, whereas opportunities for improvement included the information architecture, quality of information, and technology use. The study findings highlight that despite several decades of efforts to provide solutions to support information management in hospital daily operations, further measures need to be taken in developing and implementing information systems with user-centered strategies and systematic approaches to better support healthcare professionals.

Nurse Managers' Opinions of Information System Support for Performance Management: A Correlational Study

BACKGROUND

 Current information systems do not effectively support nurse managers' duties, such as reporting, resource management, and assessing clinical performance. Few performance management information systems are available and features in many are scattered.

OBJECTIVES

 The purpose of the study was to determine nurse managers' opinions of information system support for performance management.

METHODS

 An online questionnaire was used to collect data from nurse managers (n = 419). Pearson's correlation coefficients and linear regression were used to examine the relationships between variables, which were nurse managers' ability to manage resources, to report and evaluate productivity, and to assess nursing performance and clinical procedures.

RESULTS

 More than half of the managers used performance management systems daily. Managers (60%) felt that they can use information systems to follow the use of physical resources, and in general (63%), they felt that it is easy to perform searches with the systems used for following up activity. Nurse managers' ability to manage resources, to report productivity, and to assess nursing care performance were correlated significantly with each other.

CONCLUSION

 Currently, managers have to collect data from various systems for management purposes, as system integration does not support performance data collection. The availability of continuous in-service training had a positive effect on information system use.

Identifying nursing sensitive indicators from electronic health records in acute cardiac care-Towards intelligent automated assessment of care quality

AIM

The aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing-sensitive indicators in acute cardiac care.

BACKGROUND

Nursing care quality is a multifaceted phenomenon, making a holistic assessment of it difficult. Quality assessment systems in acute cardiac care units could benefit from big data-based solutions that automatically extract and help interpret data from electronic health records.

METHODS

This is a deductive descriptive study that followed the theory of value-added analysis. A random sample from electronic health records of 230 patients was analysed for selected indicators. The data included documentation in structured and free-text format.

RESULTS

One thousand six hundred seventy-six expressions were extracted and divided into (1) established and (2) unestablished expressions, providing positive, neutral and negative descriptions related to care quality.

CONCLUSIONS

Electronic health records provide a potential source of information for information systems to support assessment of care quality. More research is warranted to develop, test and evaluate the effectiveness of such tools in practice.

IMPLICATIONS FOR NURSING MANAGEMENT

Knowledge-based health care management would benefit from the development and implementation of advanced information systems, which use continuously generated already available real-time big data for improved data access and interpretation to better support nursing management in quality assessment.

Nurses' Utilization of Information Resources for Patient Care Tasks: A Survey of Critical Care Nurses in an Urban Hospital Setting

Critical care nurses manage complex patient care interventions under dynamic, time-sensitive and constrained conditions, yet clinical decision support systems for nurses are limited compared with advanced practice healthcare providers. In this work, we study and analyze nurses' information-seeking behaviors to inform the development of a clinical decision support system that supports nurses. Nurses from an urban midwestern hospital were recruited to complete an online survey containing eight open-ended questions about resource utilization for various nursing tasks and open space for additional insights. Frequencies and percentages were calculated for resource type, bivariate analyses using Pearson's χ2 test were conducted for differences in resources utilization by years of experience, and content analysis of free text was completed. Forty-five nurses (response rate, 19.6%) identified 38 unique resources, which we organized into a resource taxonomy. Institutional applications were the most common type of resource used (35.6% of all responses) but accounted for only 15.4% of respondents' "go-to resources," suggesting potential areas for improvement. Our findings highlight that knowing where to look for information, the existence of comprehensive information, and fast and easy retrieval of information are key resource seeking attributes that must be considered when designing a clinical decision support system.

Relationship Between Undergraduate Nursing Students' Self-directed Learning and Training Demands for Nursing Information Systems: A Cross-sectional Study

Self-directed learning refers to an approach to acquiring knowledge and skills in which learners take responsibility for themselves. Currently, it is a feasible way to familiarize with nursing information systems, which are essential components of hospital information systems and widely used in clinical nursing. This study assessed undergraduate nursing students' self-directed learning of nursing information systems and explored influencing factors, using a cross-sectional design and a convenience sample. Participants voluntarily completed a general information questionnaire, a training demands questionnaire for nursing information systems, and the Self-rating Scale for Self-directed Learning, which measured the level of self-directed learning. A total of 353 valid surveys were analyzed, among which 51.8% agreed with the necessity of mastering nursing information systems. Nursing students present a moderate level of self-directed learning, with an advantage in interpersonal skills and a deficiency in learning activities. Students' training demands, confidence in using nursing information systems in clinical practice, attitude toward nursing as a career, and academic performance were identified as predictors of self-directed learning for nursing information systems. Future cross-national research, studies about other factors, and ways to improve formal education are needed.

Identifying periodicity in nurse call occurrence: Analysing nurse call logs to obtain information for data-based nursing management

AIM

To verify our hypothesis that 'there is periodicity in nurse call occurrence'.

BACKGROUND

It is difficult to plan nursing management because nursing tasks can vary widely, seemingly at random. One of the most useful pieces of information for decision-making is periodicity. If periodicity is present, it should be possible to predict the occurrence of tasks and make preventive strategies. In this study, we focused on the nurse call, which plays an important role in nursing practice.

METHOD

We used nurse call logs that accumulated automatically when patients pushed the button. Data were obtained from 1 January 2014 to 30 September 2017 (1,369 days) in a university hospital. The total number was 5,982,935. Periodicity was verified by the autocorrelation function.

RESULTS

The value of the autocorrelation function increased regularly, which demonstrates there was periodicity in nurse call occurrence.

CONCLUSION

Our hypothesis was accepted. The presence of periodicity indicates that nurse call occurrence is not a random event but has a pattern.

IMPLICATIONS FOR NURSING MANAGEMENT

If we can identify patterns such as the time that nurse calls frequently occur, managers can implement two strategies: one, assigning more nurses and two, moving tasks other than nurse calls to another time.

Identifying nurse managers' essential information needs in daily unit operation in perioperative settings

Aim

To identify nurse managers' essential information needs in daily unit operation in perioperative settings.

Design

Qualitative and quantitative descriptive design.

Methods

The study consisted of (I) generation of an item pool of potential information needs, (II) assessment of the item pool by an expert panel and (III) confirming the essential information needs of nurse managers in daily unit operation with a survey (N = 288). Content validity index values were calculated for the assessments by expert panel and in the survey. Internal consistency of the final item pool was explored with Cronbach's alpha. The data were collected from 2011-2015.

Results

During the study process, the number of essential information needs decreased from 92-41. The final item pool consisted of 12 subthemes, and they were categorized into four main themes: patient's care process, surgical procedure, human resources and tangible resources. The findings can be used to create a knowledge map for information system purposes.