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.

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.

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.

Involvement in Medical Informatics May Enable Pharmacists to Expand Their Consultation Potential and Improve the Quality of Healthcare

1992 ◽  
Vol 26 (1) ◽  
pp. 100-104 ◽  
Author(s):  
Alise E. Woodruff ◽  
C. Anthony Hunt
Keyword(s):  
Quality Assurance ◽  
Information Systems ◽  
Information Management ◽  
Medical Informatics ◽  
Quality Of Healthcare ◽  
Knowledge Based Systems ◽  
Related Services ◽  
Medical Computing ◽  
Knowledge Based

The outlook for pharmacy-related services foretells more involvement of both computers and information systems. Expert therapeutic systems and databases will enable pharmacists to expand their consultation potential through networks and improve the quality of healthcare that they provide. Therapeutic information management could be the largest pharmacy speciality of the future. As knowledge-based systems and networks become commonplace, there will be an increasing need for new components, system monitoring, and quality assurance. This is an opportunity for pharmacy to bring medical computing, as it relates to therapeutics, into the mainstream of the profession as a new discipline.

scholarly journals Collaborative chronic care model implementation within outpatient behavioral health care teams: qualitative results from a multisite trial using implementation facilitation

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Jennifer L. Sullivan ◽  
Bo Kim ◽  
Christopher J. Miller ◽  
A. Rani Elwy ◽  
Karen L. Drummond ◽  
...  
Keyword(s):  
Mental Health ◽  
Decision Support ◽  
Information Systems ◽  
Clinical Information ◽  
Self Management ◽  
Clinical Information Systems ◽  
Work Role ◽  
Community Resources ◽  
Management Support ◽  
Outpatient Mental Health

Abstract Background This paper reports on a qualitative evaluation of a hybrid type II stepped-wedge, cluster randomized trial using implementation facilitation to implement team-based care in the form of the collaborative chronic care model (CCM) in interdisciplinary outpatient mental health teams. The objective of this analysis is to compare the alignment of sites’ clinical processes with the CCM elements at baseline (time 1) and after 12 months of implementation facilitation (time 2) from the perspective of providers. Methods We conducted semi-structured interviews to assess the extent to which six CCM elements were in place: work role redesign, patient self-management support, provider decision support, clinical information systems, linkages to community resources, and organizational/leadership support. Interviews were transcribed and a priori CCM elements were coded using a directed content analysis approach at times 1 and 2. We sought consensus on, and compared, the extent to which each CCM element was in place at times 1 and 2. Results We conducted 27 and 31 telephone interviews at times 1 and 2, respectively, with outpatient mental health providers at nine participating sites. At time 1 and time 2, three CCM elements were most frequently present across the sites: work role redesign, patient self-management support, and provider decision support. The CCM elements with increased implementation from time 1 to time 2 were work role redesign, patient self-management support, and clinical information systems. For two CCM elements, linkages to community resources and organizational/leadership support, some sites had increased implementation at time 2 compared to time 1, while others had reductions. For the provider decision support element, we saw little change in the extent of its implementation. Conclusions Sites increased the extent of implementation on several CCM elements. The most progress was made in the CCM elements where sites had CCM-aligned processes in place at time 1. Teams made progress on elements they could more easily control, such as work role redesign. Our results suggest that maximizing the benefits of CCM-based outpatient mental health care may require targeting resources and training toward specific CCM elements—especially in the use of clinical information systems and linking with community resources. Trial registration Clinical Trials NCT02543840.

scholarly journals Integrating evidence into clinical information systems for nursing decision support

2008 ◽  
Vol 77 (6) ◽  
pp. 413-420 ◽  
Author(s):  
Suzanne Bakken ◽  
Leanne M. Currie ◽  
Nam-Ju Lee ◽  
W. Dan Roberts ◽  
Sarah A. Collins ◽  
...  
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Clinical Information ◽  
Clinical Information Systems
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