11.11. Clinical Data in Care Processes. Developing a Meaningful Interdisciplinary Data Mode

Public examination of a doctoral dissertation in the field of health and human services informatics
Doctoral candidate: MHS Kristiina Häyrinen
Time and venue 11.11. at 12 noon, Technopolis Auditorium, Kuopio Campus

In this study the interest was the syntactic and semantic information contained in the EHR. Syntactic information enables message transmissions within and between health care organizations with signs or symbols. Semantic information articulates the meaning of symbols i.e. the reality of patient care received.

The purpose of this study was to describe and evaluate patient EHR data and the significance of this data in care processes. The purpose was moreover to determine meaningful multi-professional data model of the care process.

The data for this study consisted of a systematic literature review dealing with the content of electronic health records (EHRs) of 89 studies and data of EHRs (N=9098) in 2003–2006. The data were analyzed using deductive content analysis and descriptive statistics.

Health care professionals’ documentation habits are inconsistent. Physicians and physiotherapists documented patient care in the EHRs principally as narrative text. These narrative texts were structured with inconsistent headings. Furthermore, physicians documented diagnoses using ICD-10 in over 50% of their documentations. Nurses’ documentation was based on the nursing process and they used the Finnish Care Classification. The use of the Finnish Care Classification is inconsistent.

Different groups of health care professionals do their documentation according to their own documentation models. In this study developed meaningful interdisciplinary data model consists of common data elements for different health care professionals caring for patients. The use of different terminologies in the documentation demands mapping of the different terminologies onto each other.

The doctoral dissertation of MHS Kristiina Häyrinen, entitled Clinical Data in Care Processes. Developing a Meaningful Interdisciplinary Data Model, will be examined at the Faculty of Social Sciences and Business Studies. The opponent in the public examination will be Dosent Mikko Nenonen (Talent Partners Public Consulting/ Talent Partners Group), and the custos will be Professor Kaija Saranto of the University of Eastern Finland.

Photo available for download at http://www.uef.fi/vaitoskuvat.

Publishing year: 2011

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