Issue orders and discontinued EPR.

Users gave us 104 different reasons for the failure of implementing an EPR in a surgical clinic. We classify the reasons with the issue order model, where the first issue level is for simple and technical issues, the second one for more complex and combined issues, and the third one for political or ideological issues. However, what appears as a first order issue to a manager might be seen as an insurmountable third order issue for a worker and vice versa.

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.

User interpretations of future information system use: a snapshot with technological frames.

Integrated information systems for managing patient data transform the nature of hospital work to the extent that the work practices, the responsibilities, even the professional identities are likely to undergo major changes. Therefore, during the organizational implementation of the IS, attention should be paid to the future users and how they understand and see what is going on. Here the focus is on these interpretation processes, analyzed as technological frames.