9 – 10: Louhi project: Text mining of Finnish nursing narratives
[Slides text mining] [Slides parsing]
For more information about the project, click here.
10 – 11: DSV-KEA project: The Stockholm-EPR Corpus and some experiments.
[slides]
For more information about the project, click here.
11 – 12: LIME, Karolinska institutet, Sabine Koch: Integrating electronic health records to bridge health and social care,[slides]
For more information about the project, click here.
Tuesday, December 2, 2008, sammanträdesrum 6405, floor 6, Forum, DSV, Kista
(EPR = Electronic Patient Records)
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Some notes on the presentations:
The Louhi project at University of Turku carries out research at intensive care unit patient records written in Finnish. According to the participants of the Louhi project 20-30 percent of the clinicians’ time goes to documenting during the health care process, many times the clinicians also need to enter the same information in several different medical record systems. Sometimes it can be up to 50 pages of documentation for one ICU intensive care unit patient. This information is very difficult to obtain an overview of, therefore very little of this written information is reused. Almost none of the information in the EPRs is transferred to the discharge letter.
The DSV-KEA group presented the Stockholm-EPR corpus that contains several hundred thousand patient records. From the Stockholm-EPR corpus a Gold corpus was created that will assist in assessing the quality of a deidentification system for Swedish patient records. The Gold corpus contains 100 patient records and contains in average 4 200 PHIs, (Protected Health Information) that is 2.5 percent of the total amount of information. Name on both clinicians and patients were about 0.75 percent of the total amount of information.
Sabine Koch presented a system from the Vinnova supported project old@home. In the project handheld devices were developed to support in the health care care process. In this system all people involved in the health care care process obtained customized information about the patient. The users are the patients themselfes, the nurses, the home helpers, the relatives, etc. The system is now used partly in Hudiksvalls kommun, (muncipality).