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Dive into the research topics where Johan Ellenius is active.

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Featured researches published by Johan Ellenius.


BMC Public Health | 2008

What they fill in today, may not be useful tomorrow: Lessons learned from studying Medical Records at the Women hospital in Tabriz, Iran

Faramarz Pourasghar; Hossein Malekafzali; Alireza Kazemi; Johan Ellenius; Uno Fors

BackgroundThe medical record is used to document patients medical history, illnesses and treatment procedures. The information inside is useful when all needed information is documented properly. Medical care providers in Iran have complained of low quality of Medical Records. This study was designed to evaluate the quality of the Medical Records at the university hospital in Tabriz, Iran.MethodsIn order to get a background of the quality of documentation, 300 Medical Records were randomly selected among all hospitalized patient during September 23, 2003 and September 22, 2004. Documentation of all records was evaluated using checklists. Then, in order to combine objective data with subjective, 10 physicians and 10 nurses who were involved in documentation of Medical Records were randomly selected and interviewed using two semi structured guidelines.ResultsAlmost all 300 Medical Records had problems in terms of quality of documentation. There was no record in which all information was documented correctly and compatible with the official format in Medical Records provided by Ministry of Health and Medical Education. Interviewees believed that poor handwriting, missing of sheets and imperfect documentation are major problems of the Paper-based Medical Records, and the main reason was believed to be high workload of both physicians and nurses.ConclusionThe Medical Records are expected to be complete and accurate. Our study has unveiled that the Medical Records are not documented properly in the university hospital where the Medical Records are also used for educational purposes. Such incomplete Medical Records are not reliable resources for medical care too. Some influencing factors external to the structure of the Medical Records (i.e. human factors and work conditions) are involved.


Journal of Medical Systems | 2011

The Effect of Computerized Physician Order Entry and Decision Support System on Medication Errors in the Neonatal Ward: Experiences from an Iranian Teaching Hospital

Alireza Kazemi; Johan Ellenius; Faramarz Pourasghar; Shahram Tofighi; Aref Salehi; Ali Amanati; Uno Fors


Clinical Chemistry | 1997

Early assessment of patients with suspected acute myocardial infarction by biochemical monitoring and neural network analysis

Johan Ellenius; Torgny Groth; Bertil Lindahl; Lars Wallentin


Archive | 2000

Provision of decision support for acute myocardial infarction

Torgny Groth; Johan Ellenius


International Journal of Cardiology | 2007

Artificial neural network algorithms for early diagnosis of acute myocardial infarction and prediction of infarct size in chest pain patients

Kai M. Eggers; Johan Ellenius; Mikael Dellborg; Torgny Groth; Jonas Oldgren; Eva Swahn; Bertil Lindahl


Archive | 1996

Detection/exclusion of acute myocardial infarction using neural network analysis of measurements of biochemical markers

Torgny Groth; Johan Ellenius


International Journal of Medical Informatics | 2009

CPOE in Iran--a viable prospect? Physicians' opinions on using CPOE in an Iranian teaching hospital.

Alireza Kazemi; Johan Ellenius; Shahram Tofighi; Aref Salehi; Fatemeh Eghbalian; Uno Fors


Artificial Intelligence in Medicine | 2008

Dynamic decision support graph-Visualization of ANN-generated diagnostic indications of pathological conditions developing over time

Johan Ellenius; Torgny Groth


Archive | 1997

DECISION SUPPORT FOR ACUTE MYOCARDIAL INFARCTION

Torgny Groth; Johan Ellenius


Archive | 2001

Provision de soporte de decisiones para el infarto agudo de miocardio.

Johan Ellenius; Torgny Groth

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Uno Fors

Stockholm University

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Eva Swahn

Linköping University

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