The Impact of Leadership in the Autonomy and Engagement of Nurses: A Cross-sectional Multicenter Study Among Nurses Outside the United States.

Objective: To add to the body of evidence regarding nurse engagement and related factors from a non-US sample of nurses.

Background: Leadership has a positive impact on nurses' autonomy and engagement experiences. It is necessary to explore the factors that explain the relationships between leadership, autonomy, and engagement level.

Applying language technology to nursing documents: pros and cons with a focus on ethics.

Objectives: The present study discusses ethics in building and using applications based on natural language processing in electronic nursing documentation. Specifically, we first focus on the question of how patient confidentiality can be ensured in developing language technology for the nursing documentation domain. Then, we identify and theoretically analyze the ethical outcomes which arise when using natural language processing to support clinical judgement and decision-making.

Towards automated classification of intensive care nursing narratives.

Background: Nursing narratives are an important part of patient documentation, but the possibilities to utilize them in the direct care process are limited due to the lack of proper tools. One solution to facilitate the utilization of narrative data could be to classify them according to their content.

Objectives: Our objective is to address two issues related to designing an automated classifier: domain experts' agreement on the content of classes Breathing, Blood Circulation and Pain, as well as the ability of a machine-learning-based classifier to learn the classification patterns of the nurses.

Towards automated classification of intensive care nursing narratives.

Nursing narratives are an important part of patient documentation, but the possibilities to utilize them in the direct care process are limited due to the lack of proper tools. One solution to facilitate the utilization of narrative data could be to classify them according to their content. In this paper, we addressed two issues related to designing an automated classifier: domain experts' agreement on the content of the classes into which the data are to be classified, and the ability of the machine-learning algorithm to perform the classification on an acceptable level.

Theoretical considerations of ethics in text mining of nursing documents.

This paper discusses theoretical considerations of ethics in building and using a text mining application in nursing documentation. Nursing documentation is based on the process of gathering information from the patient, setting goals for care, documenting nursing interventions and evaluating delivered nursing care. Privacy-sensitive health care documentation brings specific ethical concerns and difficulties that one needs to be aware of and conform to when developing and using text mining tools in electronic patient records.

Need for change in patient education: a Finnish survey from the patient's perspective.

This study aims to find out how hospital patients in Finland perceive and evaluate the education they receive. It represents the first part of a patient education project at one university hospital in which the ultimate goal is to support patients' decision-making and self-care and in this way to facilitate the independent empowerment with health problems. The survey comprised of 754 patients from 63 of the hospital's 100 wards during a randomly selected week in spring 2001.