Welcome to the tag category page for Data governance!
Health Care Technologies refer to a wide range of technologies used in the healthcare industry to improve patient care, increase efficiency, and enhance medical processes. This includes medical devices, IT systems, algorithms, artificial intelligence, cloud computing, blockchain, and more. Some of the top healthcare technology trends include artificial intelligence, data integration and predictive analysis, mental health technology, remote patient monitoring, telemedicine, personalized medicine, genomics, wearables, and more. Healthcare technology aims to support healthcare organizations in providing better care, increasing productivity, and gaining new insights into medicine. It encompasses various tools and software designed to enhance hospital and administrative processes and improve patient outcomes. Technologies such as geospatial technologies, social media monitoring, wearable tech, 3D printing, and telehealth are also being utilized to improve patient care and outcomes. The constant evolution and advancement of healthcare technologies play a crucial role in transforming the healthcare industry and improving overall patient care.
A data catalog is an organized inventory and detailed list of all data assets in an organization that helps manage and discover data. It uses metadata management to enable data analysts, scientists, stewards, and other data consumers to find and understand datasets for extracting business value. It includes data from the World Bank's microdata, and open-source data catalog tools. Some examples of data catalog tools are Amundsen by Lyft and LinkedIn DataHub. The difference between a data catalog and a data warehouse is that the former helps find, understand, trust, and use data, while the latter stores structured data.
Data literacy is the ability to read, understand, work with, analyze, and communicate data effectively. It is a crucial skillset for individuals and organizations in today's workforce, as data becomes more and more integral to decision-making and business operations. Data literacy involves evaluating data sources, interpreting data visualizations, and communicating results to a general audience. Gartner defines data literacy as the ability to read, write, and communicate data in context. The three C's of data literacy are curiosity, creativity, and critical thinking. The Data Literacy Project is a global community dedicated to creating a data-literate world, and there are training and certification programs available for those seeking to develop their data literacy skills.
