61IMPROVING TIMELINESS OF DISCHARGE LETTERS
نویسندگان
چکیده
منابع مشابه
Automatic diagnosis classification of patient discharge letters.
CAIRN (Computer Assisted Medical Information Resource Navigation) is a prototyping System that allows flexible medical data storage and retrieval supporting medical informatics research. In this paper methods that automate the selection of ICD-9 diagnosis (International Classification of Diseases and Diagnoses, 9th Revision) are investigated. We present the Text Data Mining module extension of ...
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OBJECTIVES The transition of care from hospital to primary care provider (PCP) at discharge carries the potential for significant information loss. There is evidence that the timeliness and content of discharge communication are often unreliable during this handoff. Suboptimal transitions of care at discharge have been associated with adverse outcomes, and efficient solutions are required to tr...
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In the era of the Electronic Health Record the release of medical narrative textual data for research, for health care statistics, for monitoring of new diagnostic tests and for tracking disease outbreak alerts imposes tough restrictions by various public authority bodies for the protection of (patient) privacy. In this paper we present a system for automatic identification of named entities in...
متن کاملTowards Temporal Segmentation of Patient History in Discharge Letters
This paper reports about ongoing work in automatic identification of temporal markers and segmentation of patient histories into episodes. We discuss the discourse structure of the Anamneses in Bulgarian hospital discharge letters and present experiments with a corpus of 1,375 anonymised discharge letters of patients with endocrine and metabolic diseases. Our IE prototype discovers 32,445 key t...
متن کاملThe Timeliness of Ankle Fracture Management from Presentation to Discharge; Our Experience from a District Eeneral Hospital
Introduction: Unstable ankle fractures are a common presentation and operative intervention has proven to improve patient outcomes. Each stage of patient management can have an impact on patient length of stay and clinical outcome. The aim of the present study is to assess how we manage the patient at each stage from their presentation right through to discharge, and if/how variation in practic...
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ژورنال
عنوان ژورنال: Age and Ageing
سال: 2017
ISSN: 0002-0729,1468-2834
DOI: 10.1093/ageing/afx055.61