BACKGROUND With advances in computer technology and mounting pressure to cut health care costs, there is a desire to automate clinical and patient records. METHODS We reviewed the barriers that hindered automation in the past, changes in the business environment, and the recent developments that could encourage automation, including the enactment of the Health Insurance Portability and Accoun...

Medical records contain an abundance of information, very little of which is extracted and put to clinical use. Increasing the flow of information from medical records to clinical practice requires methods of analysis that are appropriate for large nonintervention studies. The purpose of this article is to explain in nontechnical language what these methods are, how they differ from conventiona...

Clinical record keeping is integral to good professional practice and the delivery of quality healthcare http://ow.ly/TicN305wiyc.

introduction: different oral lesions have clinical characteristics which in some cases are similar. therefore, in these cases histopathological examination for correct diagnosis is necessary. the aim of this study was to evaluate the compatibility rate of clinical and histopathological diagnosis of oral lesions in zahedan school of dentistry. methods: in this retrospective study, determination ...

Clinicians perform many tasks in their daily work requiring summarization of clinical data. However, as technology makes more data available, the challenges of data overload become ever more significant. As interoperable data exchange between hospitals becomes more common, there is an increased need for tools to summarize information. Our goal is to develop automated tools to aid clinical data ...

OBJECTIVE To construct a set of guidelines for data collection from medical records. STUDY DESIGN AND SETTING Retrospective analysis of clinical data is often performed by physician-scientists. In such research, the source of clinical data is the patient's medical record; however, medical records are intended for patient care and the data are not systematically recorded for research purposes....

Essential information relevant to medical problems, tests, and treatments is often expressed in patient clinical records with natural language, making their processing a daunting task for automated systems. One of the steps towards alleviating this problem is concept extraction. In this work, we proposed a machine learning-based named entity recognition system to extract clinical concepts from ...

INTRODUCTION The promise of Clinical Decision Support (CDS) has always been to transform patient care and improve patient outcomes through the delivery of timely and appropriate recommendations that are patient specific and, more often than not, are appropriately actionable. However, the users of CDS-providers-are frequently bombarded with inappropriate and inapplicable CDS that often are not i...

The explosive growth of patient-specific genomic information relevant to drug therapy will continue to be a defining characteristic of biomedical research. To implement drug-based personalized medicine (PM) for patients, clinicians need actionable information incorporated into electronic health records (EHRs). New clinical decision support (CDS) methods and informatics infrastructure are requir...

BACKGROUND This study was performed to investigate the usefulness of clinical pathway (CP) using an electronic medical record (EMR) in pediatric patients undergoing closed pinning for supracondylar fracture of the humerus, by analyzing the length of hospital stay, hospital cost and satisfaction of the medical teams. METHODS This before and after comparative study included consecutive children...