Related Research Articles
A randomized controlled trial is a form of scientific experiment used to control factors not under direct experimental control. Examples of RCTs are clinical trials that compare the effects of drugs, surgical techniques, medical devices, diagnostic procedures, diets or other medical treatments.
Health informatics combines communications, information technology (IT), and health care to enhance patient care and is at the forefront of the medical technological revolution. It can be viewed as a branch of engineering and applied science.
An electronic health record (EHR) also known as an electronic medical record (EMR) or personal health record (PHR) is the systematized collection of patient and population electronically stored health information in a digital format. These records can be shared across different health care settings. Records are shared through network-connected, enterprise-wide information systems or other information networks and exchanges. EHRs may include a range of data, including demographics, medical history, medication and allergies, immunization status, laboratory test results, radiology images, vital signs, personal statistics like age and weight, and billing information.
Public health surveillance is, according to the World Health Organization (WHO), "the continuous, systematic collection, analysis and interpretation of health-related data needed for the planning, implementation, and evaluation of public health practice." Public health surveillance may be used to track emerging health-related issues at an early stage and find active solutions in a timely manner. Surveillance systems are generally called upon to provide information regarding when and where health problems are occurring and who is affected.
Public health informatics has been defined as the systematic application of information and computer science and technology to public health practice, research, and learning. It is one of the subdomains of health informatics, data management applied to medical systems.
Gunther Eysenbach is a German-Canadian researcher on healthcare, especially health policy, eHealth, and consumer health informatics.
The Journal of Medical Internet Research is a peer-reviewed open-access medical journal established in 1999 covering eHealth and "healthcare in the Internet age". The editors-in-chief are Gunther Eysenbach and Rita Kukafka. The publisher is JMIR Publications.
Philip Eric Bourne is an Australian bioinformatician, non-fiction writer, and businessman. He is currently Stephenson Chair of Data Science and Director of the School of Data Science and Professor of Biomedical Engineering and was the first associate director for Data Science at the National Institutes of Health, where his projects include managing the Big Data to Knowledge initiative, and formerly Associate Vice Chancellor at UCSD. He has contributed to textbooks and is a strong supporter of open-access literature and software. His diverse interests have spanned structural biology, medical informatics, information technology, structural bioinformatics, scholarly communication and pharmaceutical sciences. His papers are highly cited, and he has an h-index above 80.
Remote patient monitoring (RPM) is a technology to enable monitoring of patients outside of conventional clinical settings, such as in the home or in a remote area, which may increase access to care and decrease healthcare delivery costs. RPM involves the constant remote care of patients by their physicians, often to track physical symptoms, chronic conditions, or post-hospitalization rehab.
Translational bioinformatics (TBI) is a field that emerged in the 2010s to study health informatics, focused on the convergence of molecular bioinformatics, biostatistics, statistical genetics and clinical informatics. Its focus is on applying informatics methodology to the increasing amount of biomedical and genomic data to formulate knowledge and medical tools, which can be utilized by scientists, clinicians, and patients. Furthermore, it involves applying biomedical research to improve human health through the use of computer-based information system. TBI employs data mining and analyzing biomedical informatics in order to generate clinical knowledge for application. Clinical knowledge includes finding similarities in patient populations, interpreting biological information to suggest therapy treatments and predict health outcomes.
Health information on the Internet refers to all health-related information communicated through or available on the Internet.
Infodemiology was defined by Gunther Eysenbach in the early 2000s as information epidemiology. It is an area of science research focused on scanning the internet for user-contributed health-related content, with the ultimate goal of improving public health. Later, it is also defined as the science of mitigating public health problems resulting from an infodemic.
Genomic and medical data refers to an area within genetics that concerns the recording, sequencing and analysis of an organism's genome.
ICES is an independent, non-profit corporation that applies the study of health informatics for health services research and population-wide health outcomes research in Ontario, Canada, using data collected through the routine administration of Ontario's system of publicly funded health care.
Health data is any data "related to health conditions, reproductive outcomes, causes of death, and quality of life" for an individual or population. Health data includes clinical metrics along with environmental, socioeconomic, and behavioral information pertinent to health and wellness. A plurality of health data are collected and used when individuals interact with health care systems. This data, collected by health care providers, typically includes a record of services received, conditions of those services, and clinical outcomes or information concerning those services. Historically, most health data has been sourced from this framework. The advent of eHealth and advances in health information technology, however, have expanded the collection and use of health data—but have also engendered new security, privacy, and ethical concerns. The increasing collection and use of health data by patients is a major component of digital health.
Real-world evidence (RWE) in medicine is the clinical evidence regarding the usage and potential benefits or risks of a medical product derived from analysis of real-world data (RWD). RWE can be generated by different study designs or analyses, including but not limited to, randomized trials, including large simple trials, pragmatic trials, and retrospective or prospective observational studies. In the USA the 21st Century Cures Act required the FDA to expand the role of real world evidence.
The COVID-19 Genomics UK (COG-UK) consortium was a group of academic institutions and public health agencies in the United Kingdom created in April 2020 to collect, sequence and analyse genomes of SARS-CoV-2 at scale, as part of COVID-19 pandemic response.
A common data model (CDM) can refer to any standardised data model which allows for data and information exchange between different applications and data sources. Common data models aim to standardise logical infrastructure so that related applications can "operate on and share the same data", and can be seen as a way to "organize data from many sources that are in different formats into a standard structure".
Noémie Elhadad is an American data scientist who is an associate professor of biomedical informatics at the Columbia University Vagelos College of Physicians and Surgeons. As of 2022, she serves as the chair of the Department of Biomedical Informatics. Her research considers machine learning in bioinformatics, natural language processing and medicine.
Nigam Shah is a scientist, educator, and entrepreneur. His research is focused on the application of machine learning, knowledge representation, and artificial intelligence for the analysis of multiple types of health data. He is a professor of Medicine and Biomedical Data Science at Stanford University and the Chief Data Scientist at Stanford Health Care.
References
- 1 2 Hripcsak, George; Duke, Jon D; Shah, Nigam H; Reich, Christian G; Huser, Vojtech; Schuemie, Martijn J; Suchard, Marc A; Park, Rae Woong; Wong, Ian Chi Kei; Rijnbeek, Peter R; van der Lei, Johan; Pratt, Nicole; Norén, G Niklas; Li, Yu-Chuan; Stang, Paul E (2015). "Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers". Studies in Health Technology and Informatics. 216: 574–578. ISSN 0926-9630. PMC 4815923 . PMID 26262116.
- ↑ "Observational Health Data Sciences and Informatics (OHDSI)". Programs in Global Health. 2020-10-23. Retrieved 2024-02-01.
- 1 2 Overhage, J Marc; Ryan, Patrick B; Reich, Christian G; Hartzema, Abraham G; Stang, Paul E (2012). "Validation of a common data model for active safety surveillance research". Journal of the American Medical Informatics Association. 19 (1): 54–60. doi:10.1136/amiajnl-2011-000376. ISSN 1067-5027. PMC 3240764 . PMID 22037893.
- ↑ Stang, Paul E.; Ryan, Patrick B.; Racoosin, Judith A.; Overhage, J. Marc; Hartzema, Abraham G.; Reich, Christian; Welebob, Emily; Scarnecchia, Thomas; Woodcock, Janet (2010-11-02). "Advancing the science for active surveillance: rationale and design for the Observational Medical Outcomes Partnership". Annals of Internal Medicine. 153 (9): 600–606. doi:10.7326/0003-4819-153-9-201011020-00010. ISSN 1539-3704. PMID 21041580.
- ↑ "OMOP CDM v6.0". ohdsi.github.io. Retrieved 2024-02-01.