Harnessing Data Science Through Healthcare IT Interoperability
نویسندگان
چکیده
منابع مشابه
Supporting Science through the Interoperability of Data and Articles
Whereas it is established practice to publish relevant findings of a research project in a scientific article, there are no standards yet as to whether and how to make the underlying research data publicly accessible. According to the recent PARSE.Insight study of the EU, over 84% of scientists think it is useful to link underlying digital research data to peerreviewed literature.[1] This tren...
متن کاملHarnessing the Potential to Quantify Public Preferences for Healthcare Priorities through Citizens’ Juries
Despite progress towards greater public engagement, questions about the optimal approach to access public preferences remain unanswered. We review two increasingly popular methods for engaging the public in healthcare priority-setting and determining their preferences; the Citizens’ Jury (CJ) and Discrete Choice Experiment (DCE). We discuss the theoretical framework from which each method is de...
متن کاملData Science in Healthcare
Data Science in Healthcare The confluence of science, technology, and medicine in our dynamic digital era has spawned new data applications to develop prescriptive analytics, to improve healthcare personalization and precision medicine, and to automate the reporting of health data for clinical decisions. Data science in health care has seen recent and rapid progress along 3 paths: (1) through b...
متن کاملEnabling Data Interoperability Through Metadata
The NSDI, through the Federal Geographic Data Committee (FGDC) Secretariat, facilitates the technologies, policies, and people necessary to promote sharing of geospatial data throughout all levels of government, the private and non-profit sectors, and the academic community. The National Map is the product of a consortium of federal, state, and local partners who provide geospatial data t...
متن کاملDemocratizing data science through data science training.
The biomedical sciences have experienced an explosion of data which promises to overwhelm many current practitioners. Without easy access to data science training resources, biomedical researchers may find themselves unable to wrangle their own datasets. In 2014, to address the challenges posed such a data onslaught, the National Institutes of Health (NIH) launched the Big Data to Knowledge (BD...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Online Journal of Public Health Informatics
سال: 2019
ISSN: 1947-2579
DOI: 10.5210/ojphi.v11i1.9712