scholarly journals THE USAGE OF MEDICAL INFORMATICS IN CRITICAL CARE MEDICINE

2017 ◽  
Vol 1 (4) ◽  
pp. 100-101
Author(s):  
Marsa Gholamzadeh ◽  
Hamidreza Abtahi
Keyword(s):  
Critical Care ◽  
Intensive Care ◽  
Decision Support ◽  
Information Systems ◽  
Medical Informatics ◽  
Clinical Information ◽  
Clinical Information Systems ◽  
Quality Of Patient Care ◽  
The World

Introduction: The intensive care unit can be defined as a complex system that composed of clinical informations, tasks and knowledge. It is also one of the most stressful and most vital parts of healthcare centers which involve a huge amount of information and clinical data daily. These informations should be analyzed and managed in the best way as soon as possible to restore patients to normal by health professionals. Accurate and timely diagnosis, the best treatment and to avoid any possible error in this section can be equivalent to achieve the best possible result and reducing the length of hospitalization and mortality. As a result, due to the complex nature of the critical care and the mass of clinical data; using a combination of medical knowledge with the latest technologies and use of medical informatics capabilities can be the best way to reduce the workload of the sector and improve the quality of patient care. Methods: A systematic search was conducted on the PubMed/MEDLINE, web of science, BMJ, ScienceDirect, and Scopus database for finding studies that have related to critical care and usage of informatics or medical informatics. The collected data and results are summarized by researchers and the results analyzed based on similarities and differences. Results: With increased development of medical informatics and electronic systems has led to substantial progress in the field of critical care since 1980 till now around the world. Several articles, research projects has published. From 1981 to 2016 almost 600 scientific papers were found which included reports, posters and thesis written in context of critical care medical informatics. More than 65 percent of these studies is about designing CDSS in this field. Today, many of these systems are used in medical centers around the world and lead to improving the quality of patient care and reduce medical errors in intensive care units. Among these 600 papers, 230 articles related to our issue in fields of the design of electronic records, clinical information systems, decision support systems, data mining, telemedicine, smart analysis of clinical information and knowledge extraction techniques were selected as the main source of this study. Conclusion: According to results of our study, it seems that critical care is potentially a valuable resource for medical informatics researches. The applied of medical informatics in the different fields of the diagnosis, interpretation, and treatment in different countries have improved the quality of care for patients in critical care field. We can mention some common fields which used such as infection control and early detection in intensive care units, clinical information systems, and CPOE and decision support systems such as APACHE system for grading the severity of illness of patients who hospitalized and even telemedicine. Since this area of research has not been a field of interest in Iran yet, it seems that this study with the aim of review the application of medical informatics in different countries could lead to practical researches in this field.

Clinical Information Systems for Intensive Care, Pediatric Critical Care, and Neonatology

1997 ◽  
Vol 12 (2) ◽  
pp. 79-92
Author(s):  
James H. Jose ◽  
Saul M. Adler ◽  
William G. Keyes ◽  
James M. Bradford
Keyword(s):  
Quality Assurance ◽  
Critical Care ◽  
Intensive Care ◽  
Information Systems ◽  
Clinical Information ◽  
Data Access ◽  
Clinical Information Systems ◽  
Great Promise ◽  
Pediatric Critical Care ◽  
Functional Components

Computer information systems are expected to soon take the place of current paper charting practices, and they offer great promise to assist management of the considerable amounts of data encountered in the information-rich environment of intensive care units (ICUs). Efforts to create an electronic medical record (EMR) have been underway for more than two decades, and major national organizations, such as the Institute of Medicine, have issued recommendations on standards. Benefits of an EMR include a legible patient record, enhanced communication, provision of timely reminders and alerts to clinicians, reduction of calculation errors, access to data bases for quality assurance and research, reduced healthcare costs, and improved patient outcomes. Despite these benefits, successful EMR implementations have been confined to a few committed institutions, and expensive failures have occurred. Practitioners of neonatology and pediatric intensive care are likely to have substantial difficulty implementing an EMR to fit their specialized needs because most experience in this area has been gained through care of adult patients, and systems being developed are oriented toward nonpediatric patients. It is therefore important to examine experience thus far with the functional components of an EMR so practitioners will be able to evaluate systems better as they become available. System components discussed include nursing charting facilities, lab reporting, physician order entry, physician progress notes, structured reports, decision support systems, and problem list management. Other concerns discussed include research and quality assurance functions, data access and confidentiality issues, and electronic mail. Maximizing the “structured data” content, as opposed to narrative content of an EMR, is an important priority, and progress on developing a uniform medical language is discussed. An approach to evaluating clinical information systems for use in the ICU is presented; it should assist practitioners of pediatric critical care and neonatology in identifying computer-based charting solutions that are optimal for infants and children, while cooperating with medical center-wide needs for compatibility and a common data base.

scholarly journals On the Way to Close the Loop in Information Logistics: Data from the Patient — Value for the Patient

2018 ◽  
Vol 27 (01) ◽  
pp. 091-097 ◽  
Author(s):  
Werner Hackl ◽  
Alexander Hoerbst ◽  
Keyword(s):  
Information Systems ◽  
Medical Informatics ◽  
Clinical Information ◽  
Data Reuse ◽  
Clinical Information Systems ◽  
Free Text ◽  
Search Terms ◽  
Information Logistics ◽  
Free Text Search ◽  
Selection Of

Objective: To summarize recent research and to propose a selection of best papers published in 2017 in the field of Clinical Information Systems (CIS). Method: Each year a systematic process is carried out to retrieve articles and to select a set of best papers for the CIS section of the International Medical Informatics Association (IMIA) Yearbook of Medical Informatics. The query aiming at identifying relevant publications in the field of CIS was refined by the section editors during the last years. For three years now, the query is stable. It comprises search terms from the Medical Subject Headings (MeSH) thesaurus as well as additional free text search terms from PubMed and Web of Science®. The retrieved articles were categorized in a multi-pass review carried out by the two section editors. The final selection of candidate papers was then peer-reviewed by Yearbook editors and external reviewers. Based on the review results, the best papers were then selected by the IMIA Yearbook editorial board. Text mining, and term co-occurrence mapping techniques were used to get an overview on the content of the retrieved articles. Results: The query was carried out in mid-January 2018, yielding a consolidated result set of 2,255 articles which had been published in 939 different journals. Out of them, 15 papers were nominated as candidate best papers and four of them were finally selected as best papers in the CIS section. Again, the content analysis of the articles revealed the broad spectrum of topics which is covered by CIS research. Conclusions: Modern clinical information systems serve as backbone for a very complex, trans-institutional information logistics process. Data that is produced by, documented in, shared via, organized in, presented by, and stored within clinical information systems is more and more reused for multiple purposes. We found a lot of examples showing the benefits of such data reuse with various novel approaches implemented to tackle the challenges of this process. We also found that the patient moves in the focus of interest of CIS research. So the loop of information logistics begins to close: data from the patients is used to produce value for the patients.

Teaching Medical Informatics to Biomedical Engineering Students: Experiences over 15 Years

1989 ◽  
Vol 28 (04) ◽  
pp. 309-312
Author(s):  
O. Wigertz ◽  
J. Persson ◽  
H. Ahlfeldt
Keyword(s):  
Decision Support ◽  
Computer Science ◽  
Medical Informatics ◽  
Biomedical Engineering ◽  
Cell Biology ◽  
Engineering Students ◽  
Clinical Information ◽  
Clinical Information Systems ◽  
Medical Computing ◽  
Knowledge Based

Abstract:The Departments of Biomedical Engineering and Medical Informatics at Linkoping University in Sweden were established in 1972-1973. The main purpose was to develop and offer courses in medicine, biomedical engineering and medical informatics to students in electrical engineering and computer science, for a specialization in biomedical engineering and medical informatics. The courses total about 400 hours of scheduled study in the subjects of basic cell biology, basic medicine (terminology, anatomy, physiology), biomedical engineering and medical informatics. Laboratory applications of medical computing are mainly taught in biomedical engineering courses, whereas clinical information systems, knowledge based decision support and computer science aspects are included within the medical informatics courses.

Clinical Information Systems in Critical Care

2013 ◽  
Author(s):  
Cecily Morrison ◽  
Matthew R. Jones ◽  
Julie Bracken
Keyword(s):  
Critical Care ◽  
Information Systems ◽  
Clinical Information ◽  
Clinical Information Systems
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