Information technology and informatics

2020 ◽  
pp. 92-99
Author(s):  
Don Detmer
Keyword(s):  
Public Health ◽  
Health Informatics ◽  
Clinical Medicine ◽  
Rapid Evolution ◽  
Health Sciences ◽  
Clinical Informatics ◽  
Information And Communications Technology ◽  
Communications Technology ◽  
Professional Career ◽  
Health Discipline

After reading this chapter, you should be able to: identify the emerging sub-disciplines within biomedical and health; informatics that are critical to the skilful use of health information and communications technology in the health sciences; appreciate how informatics is applied to public health, clinical medicine, and research, and that its roles are in rapid evolution; consider clinical informatics as a professional career choice regardless of your health discipline.

Information technology and informatics

2013 ◽  
pp. 84-89 ◽  
Author(s):  
Don Eugene Detmer
Keyword(s):  
Public Health ◽  
Information Technology ◽  
Health Information ◽  
Health Informatics ◽  
Clinical Medicine ◽  
Rapid Evolution ◽  
Health Sciences ◽  
Information And Communications Technology ◽  
Communications Technology

After reading this chapter you should be able to identify the emerging sub-disciplines within biomedical and health informatics that are critical to the skilful use of health information and communications technology in the health sciences, and appreciate how informatics is applied to public health, clinical medicine, and research and that its roles are in rapid evolution.

Coordination, Incentives, and Persuasion: South Korea’s Comprehensive Approach to COVID-19 Containment

2020 ◽  
Vol 35 (3) ◽  
pp. 119-139
Author(s):  
Tobin Im ◽  
Jesse W. Campbell
Keyword(s):  
Public Health ◽  
Central Government ◽  
Information And Communications Technology ◽  
Social Characteristics ◽  
Communications Technology ◽  
Critical Resource ◽  
Containment Strategy ◽  
National Governments ◽  
Health Experts ◽  
Core Features

A rapid and comprehensive policy response allowed South Korea to contain an aggressive outbreak of COVID-19 without resorting to the harsh lockdown measures necessitated in other countries. However, while the general content of Korea’s response is now fairly well-known, what has received less attention is the unique governance context in which the country’s containment strategy was formulated and implemented. This article focuses on 3 administrative elements of Korea’s pandemic containment approach. First, the central government effectively coordinated the efforts of sub-national governments to ensure critical resource availability and deliver a response calibrated to the situation of each locale. Second, ongoing inter-sectoral collaboration was used to marshal non-government resources in both the biotech and medical sectors which in turn enabled core features of Korea’s policy, including a rapid acceleration of testing. Third, a timely, accessible, and technocratic communications strategy, led by public health experts and leveraging the country’s highly developed information and communications technology systems, facilitated citizen trust and ultimately voluntary compliance with public health directives. Although the Korean approach offers a number of lessons for other countries, by ignoring the specific administrative and social characteristics that are relevant to its implementation, policymakers risk overestimating its inter-contextual portability. By thoroughly contextualizing Korea’s virus containment strategy, this article seeks to minimize this risk.

scholarly journals Clinical Informatics Board Certification: History, Current Status, and Predicted Impact on the Clinical Informatics Workforce

2010 ◽  
Vol 01 (01) ◽  
pp. 11-18 ◽  
Author(s):  
Don Detmer ◽  
Benson Munger ◽  
Christoph Lehmann
Keyword(s):  
Public Health ◽  
Medical Informatics ◽  
Health Informatics ◽  
Policy Design ◽  
Clinical Care ◽  
Work Force ◽  
Clinical Informatics ◽  
Current Status ◽  
Public Health Informatics ◽  
Medical Specialties

SummaryWithin health and health care, medical informatics and its subspecialties of biomedical, clinical, and public health informatics have emerged as a new discipline with increasing demands for its own work force. Knowledge and skills in medical informatics are widely acknowledged as crucial to future success in patient care, research relating to biomedicine, clinical care, and public health, as well as health policy design. The maturity of the domain and the demand on expertise necessitate standardized training and certification of professionals. The American Medical Informatics Association (AMIA) embarked on a major effort to create professional level education and certification for physicians of various professions and specialties in informatics. This article focuses on the AMIA effort in the professional structure of medical specialization, e.g., the American Board of Medical Specialties (ABMS) and the related Accreditation Council for Graduate Medical Education (ACGME). This report summarizes the current progress to create a recognized sub-certificate of competence in Clinical Informatics and discusses likely near term (three to five year) implications on training, certification, and work force with an emphasis on clinical applied informatics.

scholarly journals Big Data Application in Biomedical Research and Health Care: A Literature Review

2016 ◽  
Vol 8 ◽  
pp. BII.S31559 ◽  
Author(s):  
Jake Luo ◽  
Min Wu ◽  
Deepika Gopukumar ◽  
Yiqing Zhao
Keyword(s):  
Public Health ◽  
Health Care ◽  
Big Data ◽  
Health Informatics ◽  
Imaging Informatics ◽  
Clinical Informatics ◽  
Public Health Informatics ◽  
Big Data Applications ◽  
Data Application ◽  
Big Data Application

Big data technologies are increasingly used for biomedical and health-care informatics research. Large amounts of biological and clinical data have been generated and collected at an unprecedented speed and scale. For example, the new generation of sequencing technologies enables the processing of billions of DNA sequence data per day, and the application of electronic health records (EHRs) is documenting large amounts of patient data. The cost of acquiring and analyzing biomedical data is expected to decrease dramatically with the help of technology upgrades, such as the emergence of new sequencing machines, the development of novel hardware and software for parallel computing, and the extensive expansion of EHRs. Big data applications present new opportunities to discover new knowledge and create novel methods to improve the quality of health care. The application of big data in health care is a fast-growing field, with many new discoveries and methodologies published in the last five years. In this paper, we review and discuss big data application in four major biomedical subdisciplines: (1) bioinformatics, (2) clinical informatics, (3) imaging informatics, and (4) public health informatics. Specifically, in bioinformatics, high-throughput experiments facilitate the research of new genome-wide association studies of diseases, and with clinical informatics, the clinical field benefits from the vast amount of collected patient data for making intelligent decisions. Imaging informatics is now more rapidly integrated with cloud platforms to share medical image data and workflows, and public health informatics leverages big data techniques for predicting and monitoring infectious disease outbreaks, such as Ebola. In this paper, we review the recent progress and breakthroughs of big data applications in these health-care domains and summarize the challenges, gaps, and opportunities to improve and advance big data applications in health care.

scholarly journals Collection-based analysis of selected medical libraries in the Philippines using Doody’s Core Titles

2017 ◽  
Vol 105 (1) ◽  
Author(s):  
Efren Torres Jr., MLIS
Keyword(s):  
Public Health ◽  
Clinical Medicine ◽  
Health Sciences ◽  
The Philippines ◽  
Collection Development ◽  
Basic Sciences ◽  
Book Selection ◽  
School Of Medicine ◽  
Medical Libraries

Objectives: This study assessed the book collection of five selected medical libraries in the Philippines, based on Doodys’ Essential Purchase List for basic sciences and clinical medicine, to compare the match and non-match titles among libraries, to determine the strong and weak disciplines of each library, and to explore the factors that contributed to the percentage of match and non-match titles.Method: List checking was employed as the method of research.Results: Among the medical libraries, De La Salle Health Sciences Institute and University of Santo Tomas had the highest percentage of match titles, whereas Ateneo School of Medicine and Public Health had the lowest percentage of match titles. University of the Philippines Manila had the highest percentage of near-match titles.Conclusion: De La Salle Health Sciences Institute and University of Santo Tomas had sound medical collections based on Doody’s Core Titles. Collectively, the medical libraries shared common collection development priorities, as evidenced by similarities in strong areas. Library budget and the role of the library director in book selection were among the factors that could contributed to a high percentage of match titles.

Sign in / Sign up

Export Citation Format

Share Document