Related Research Articles
Health informatics is the study and implementation of computer structures and algorithms to improve communication,understanding,and management of medical information. It can be viewed as branch of engineering and applied science.
Renato Marcos Endrizzi Sabbatini is a retired professor at the Department of Biomedical Engineering and at the State University of Campinas Institute of Biology. He received a B.Sc. in Biomedical Sciences from Medical School of the University of São Paulo and a doctorate in behavioral neuroscience in 1977,followed by postdoctoral work at the Max Planck Institute of Psychiatry's Primate Behavior Department. He founded the Center for Biomedical Informatics,and helped create the Brazilian Society for Health Informatics.
An electronic health record (EHR) 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.
Biomedical text mining refers to the methods and study of how text mining may be applied to texts and literature of the biomedical domain. As a field of research,biomedical text mining incorporates ideas from natural language processing,bioinformatics,medical informatics and computational linguistics. The strategies in this field have been applied to the biomedical literature available through services such as PubMed.
Edward ("Ted") Hance Shortliffe is a Canadian-born American biomedical informatician,physician,and computer scientist. Shortliffe is a pioneer in the use of artificial intelligence in medicine. He was the principal developer of the clinical expert system MYCIN,one of the first rule-based artificial intelligence expert systems,which obtained clinical data interactively from a physician user and was used to diagnose and recommend treatment for severe infections. While never used in practice,its performance was shown to be comparable to and sometimes more accurate than that of Stanford infectious disease faculty. This spurred the development of a wide range of activity in the development of rule-based expert systems,knowledge representation,belief nets and other areas,and its design greatly influenced the subsequent development of computing in medicine.
Homer Richards Warner was an American cardiologist who was an early proponent of medical informatics who pioneered many aspects of computer applications to medicine. Author of the book,Computer-Assisted Medical Decision-Making,published in 1979,he served as CIO for the University of Utah Health Sciences Center,as president of the American College of Medical Informatics,and was actively involved with the National Institutes of Health. He was first chair of the Department of Medical Informatics at the University of Utah School of Medicine,the first American medical program to formally offer a degree in medical informatics.
Yves A. Lussier is a physician-scientist conducting research in Precision medicine,Translational bioinformatics and Personal Genomics. As a co-founder of Purkinje,he pioneered the commercial use of controlled medical vocabulary organized as directed semantic networks in electronic medical records,as well as Pen computing for clinicians.
Health information technology (HIT) is health technology,particularly information technology,applied to health and health care. It supports health information management across computerized systems and the secure exchange of health information between consumers,providers,payers,and quality monitors. Based on a 2008 report on a small series of studies conducted at four sites that provide ambulatory care –three U.S. medical centers and one in the Netherlands,the use of electronic health records (EHRs) was viewed as the most promising tool for improving the overall quality,safety and efficiency of the health delivery system.
Clinical point of care (POC) is the point in time when clinicians deliver healthcare products and services to patients at the time of care.
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.
Christopher G. Chute is a Bloomberg Distinguished Professor at Johns Hopkins University,physician-scientist and biomedical informatician known for biomedical terminologies and health information technology (IT) standards. He chairs the World Health Organization Revision Steering Group for the revision of the International Classification of Diseases (ICD-11).
Donald Allen Bror Lindberg was the Director of the United States National Library of Medicine from 1984 until his retirement in 2015. He was known for his work in medical computing,especially the development of PubMed. He won the 1997 Morris F. Collen Award from the American College of Medical Informatics.
Ellen Wright Clayton is an American academic specialzing in law and medicine. She is the Rosalind E. Franklin Professor of Genetics at Vanderbilt University and chairwoman of the Institute of Medicine Board at the Population Health and Public Health Practice. She was the 2013 recipient of the David Rall Medal.
In genetics and genetic epidemiology,a phenome-wide association study,abbreviated PheWAS,is a study design in which the association between single-nucleotide polymorphisms or other types of DNA variants is tested across a large number of different phenotypes. The aim of PheWAS studies is to examine the causal linkage between known sequence differences and any type of trait,including molecular,biochemical,cellular,and especially clinical diagnoses and outcomes. It is a complementary approach to the genome-wide association study,or GWAS,methodology. A fundamental difference between GWAS and PheWAS designs is the direction of inference:in a PheWAS it is from exposure to many possible outcomes,that is,from SNPs to differences in phenotypes and disease risk. In a GWAS,the polarity of analysis is from one or a few phenotypes to many possible DNA variants. The approach has proven useful in rediscovering previously reported genotype-phenotype associations,as well as in identifying new ones.
The Electronic Medical Records and Genomics Network is a consortium of American medical institutions dedicated to advancing the use of electronic medical records for genomics research. It was established in 2007 and is funded by the National Human Genome Research Institute (NHGRI). eMERGE's Administrative Coordinating Center is located at Vanderbilt University Medical Center.
Dean Forrest Sittig is an American biomedical informatician specializing in clinical informatics. He is a professor in Biomedical Informatics at the University of Texas Health Science Center at Houston and Executive Director of the Clinical Informatics Research Collaborative (CIRCLE). Sittig was elected as a fellow of the American College of Medical Informatics in 1992,the Healthcare Information and Management Systems Society in 2011,and was a founding member of the International Academy of Health Sciences Informatics in 2017. Since 2004,he has worked with Joan S. Ash,a professor at Oregon Health &Science University to interview several Pioneers in Medical Informatics,including G. Octo Barnett,MD,Morris F. Collen,MD,Donald E. Detmer,MD,Donald A. B. Lindberg,MD,Nina W. Matheson,ML,DSc,Clement J. McDonald,MD,and Homer R. Warner,MD,PhD.
Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics,Biomedical informatics,and machine learning,with the goal of understanding biological and medical data. It can be viewed as the study and application of data science to solve biomedical problems. Modern biomedical datasets often have specific features which make their analyses difficult,including:
Nicholas Pierino Tatonetti is an American bioscientist who is Vice Chair of Operations in the Department of Computational Biomedicine and Associate Director of Computational Oncology in the Cancer Center at Cedars-Sinai Medical Center in Los Angeles,California.
Morris Frank Collen was founder of the Kaiser Permanente Division of Research and an original member of the Permanente Medical Group,pioneering developer of Automated Multiphasic Health Testing (AMHT) systems,and Electronic Health Records (EHRs) for Public Health and Clinical Screening,serving as a model for pre-paid healthcare at the national level. Collen was a Founder of the American College of Medical Informatics (ACMI) in 1984,and the American Medical Informatics Association (AMIA) in 1989. The Morris F. Collen Award of Excellence was established in his honor by ACMI in 1993. In 1971 Collen was elected a member of the Institute of Medicine of the National Academy of Sciences.
Charles Safran is an American-born physician,biomedical informatician,and professor,who is known for his work regarding the use of health information technology (HIT) to improve the delivery and quality of healthcare,in particular clinical information systems.
References
- 1 2 "Daniel R. Masys, MD - UW faculty home page". faculty.washington.edu.
- 1 2 "Dan Masys". scholar.google.com.
- ↑ "The NIH Record". 1993.
- ↑ "The NIH Record" (PDF).
- ↑ "AMIA Leadership Awards | AMIA - American Medical Informatics Association". amia.org.
- ↑ "Dr. Daniel R Masys".
- ↑ Gerardi, Donna. "New Members Press Release".
- ↑ "Daniel Masys, MD | AMIA - American Medical Informatics Association". amia.org.
- ↑ "Daniel Richard Masys".
- 1 2 "Daniel Masys – Biomedical Informatics and Medical Education".
- ↑ Smith, Kent (October 19, 2013). "A Brief History of NCBI's Formation and Growth". The NCBI Handbook [Internet]. 2nd edition. National Center for Biotechnology Information (US) – via www.ncbi.nlm.nih.gov.
- ↑ Masys, D. R.; Baker, D. B. (October 19, 1997). "Patient-Centered Access to Secure Systems Online (PCASSO): a secure approach to clinical data access via the World Wide Web". Proceedings of the AMIA Annual Fall Symposium: 340–343. PMC 2233557 . PMID 9357644.
- ↑ Masys, D. (March 1, 2002). "Giving Patients Access to Their Medical Records via the Internet: The PCASSO Experience". Journal of the American Medical Informatics Association. 9 (2): 181–191. doi:10.1197/jamia.M1005. PMC 344575 . PMID 11861633.
- ↑ Roden, Dm; Pulley, Jm; Basford, Ma; Bernard, Gr; Clayton, Ew; Balser, Jr; Masys, Dr (September 19, 2008). "Development of a Large-Scale De-Identified DNA Biobank to Enable Personalized Medicine". Clinical Pharmacology & Therapeutics. 84 (3): 362–369. doi:10.1038/clpt.2008.89. PMC 3763939 . PMID 18500243.
- ↑ Masys, Daniel R.; Jarvik, Gail P.; Abernethy, Neil F.; Anderson, Nicholas R.; Papanicolaou, George J.; Paltoo, Dina N.; Hoffman, Mark A.; Kohane, Isaac S.; Levy, Howard P. (June 1, 2012). "Technical desiderata for the integration of genomic data into Electronic Health Records". Journal of Biomedical Informatics. 45 (3): 419–422. doi:10.1016/j.jbi.2011.12.005. PMC 3328607 . PMID 22223081.
- ↑ Monroe-Wise, Aliza; Kinuthia, John; Fuller, Sherrilynne; Dunbar, Matthew; Masuda, David; Opiyo, Elisha; Muchai, Betty; Chepken, Christopher; Omwenga, Elijah; Oboko, Robert; Osoti, Alfred; Masys, Daniel; Chung, Michael H. (December 31, 2019). "Improving Information and Communications Technology (ICT) Knowledge and Skills to Develop Health Research Capacity in Kenya". Online Journal of Public Health Informatics. 11 (3): e22. doi: 10.5210/ojphi.v11i3.10323 . PMC 6975540 . PMID 31976035.
- ↑ McCarty, Catherine A.; Chisholm, Rex L.; Chute, Christopher G.; Kullo, Iftikhar J.; Jarvik, Gail P.; Larson, Eric B.; Li, Rongling; Masys, Daniel R.; Ritchie, Marylyn D.; Roden, Dan M.; Struewing, Jeffery P.; Wolf, Wendy A.; eMERGE Team (January 26, 2011). "The eMERGE Network: A consortium of biorepositories linked to electronic medical records data for conducting genomic studies". BMC Medical Genomics. 4 (1): 13. doi: 10.1186/1755-8794-4-13 . PMC 3038887 . PMID 21269473.
- ↑ Denny, Joshua C.; Ritchie, Marylyn D.; Basford, Melissa A.; Pulley, Jill M.; Bastarache, Lisa; Brown-Gentry, Kristin; Wang, Deede; Masys, Dan R.; Roden, Dan M.; Crawford, Dana C. (2010). "PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations". Bioinformatics. 26 (9): 1205–1210. doi: 10.1093/bioinformatics/btq126 . PMC 2859132 . PMID 20335276.
- ↑ Denny, Joshua C.; Bastarache, Lisa; Ritchie, Marylyn D.; Carroll, Robert J.; Zink, Raquel; Mosley, Jonathan D.; Field, Julie R.; Pulley, Jill M.; Ramirez, Andrea H.; Bowton, Erica; Basford, Melissa A.; Carrell, David S.; Peissig, Peggy L.; Kho, Abel N.; Pacheco, Jennifer A.; Rasmussen, Luke V.; Crosslin, David R.; Crane, Paul K.; Pathak, Jyotishman; Bielinski, Suzette J.; Pendergrass, Sarah A.; Xu, Hua; Hindorff, Lucia A.; Li, Rongling; Manolio, Teri A.; Chute, Christopher G.; Chisholm, Rex L.; Larson, Eric B.; Jarvik, Gail P.; Brilliant, Murray H.; McCarty, Catherine A.; Kullo, Iftikhar J.; Haines, Jonathan L.; Crawford, Dana C.; Masys, Daniel R.; Roden, Dan M. (December 19, 2013). "Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data". Nature Biotechnology. 31 (12): 1102–1111. doi:10.1038/nbt.2749. PMC 3969265 . PMID 24270849.