Inter-rater reliability of medication error classification in a voluntary patient safety incident reporting system HaiPro in Finland.

Background: Medication errors are common in healthcare. Medication error reporting systems can be established for learning from medication errors and risk prone processes, and their data can be analysed and used for improving medication processes in healthcare organisations. However, data reliability testing is crucial to avoid biases in data interpretation and misleading findings informing patient safety improvement.

Literature Review of Patient Record Structures from the Physician's Perspective.

The Finnish Patient Data Repository is a nationwide electronic health record (EHR) system collecting patient data from all healthcare providers. The usefulness of the large amount of data stored in the system depends on the underlying data structures, and thus a solid understanding of these structures is in focus in further development of the data repository. This study seeks to improve that understanding by a systematic literature review.

Impacts of structuring the electronic health record: Results of a systematic literature review from the perspective of secondary use of patient data.

Purpose: To explore the impacts that structuring of electronic health records (EHRs) has had from the perspective of secondary use of patient data as reflected in currently published literature. This paper presents the results of a systematic literature review aimed at answering the following questions; (1) what are the common methods of structuring patient data to serve secondary use purposes; (2) what are the common methods of evaluating patient data structuring in the secondary use context, and (3) what impacts or outcomes of EHR structuring have been reported from the secondary use perspective.

Methods: The reported study forms part of a wider systematic literature review on the impacts of EHR structuring methods and evaluations of their impact.

Steps in Moving Evidence-Based Health Informatics from Theory to Practice.

Objectives: To demonstrate and promote the importance of applying a scientific process to health IT design and implementation, and of basing this on research principles and techniques.

Methods: A review by international experts linked to the IMIA Working Group on Technology Assessment and Quality Development.

Results: Four approaches are presented, linking to the creation of national professional expectations, adherence to research-based standards, quality assurance approaches to ensure safety, and scientific measurement of impact.

Evolving Health IT Systems Evaluation: The Convergence of Health Informatics and HTA.

The credibility and reliability of health IT systems as a means of achieving changes towards safer and cost-effective care have been questioned for over two decades due to the lack of methodologically strong evidence. As national level adoption and implementation of health IT are becoming widespread across the EU and globally, but are also being offset by adverse reports, the demands for evidence become more pronounced and the stakes higher. The adaptation of HTA (health technology assessment) methodology as a means to address gaps in health IT evidence production has been proposed repeatedly and tested in the field of telemedicine services.