WGU D220- Information Technology in Nursing Practice Exam 100% Complete

WGU D220- Information Technology in Nursing Practice Exam 100% Complete computer literacy The ability to use computers for basic tasks, such as developing documents, sending emails and searching the internet for information. Nursing informatics uses information and technology to communicate, manage knowledge, mitigate error, and support decision making Translational Bioinformatics Deals with the storage, analysis, and interpretation of large volumes of data. Clinical research informatics Discovery and management of new knowledge pertinent to health and disease from clinical trials and secondary data use. Clinical Informatics delivery of timely, safe, efficient, effective, evidence-based and patient-centered care consumer health informatics (CHI) focus is on the consumer, or patient, view and the structure and processes that enables consumers to manage their own health. Applications for consumer health informatics: -Personal health record -telehealth -mobile health -games for health -health 2.0 public health informatics surveillance, prevention, health promotion and preparedness Data numbers, characters, or facts gathered for analysis and possible action Information the collection of facts and patterns extracted from data knowledge synthesis of information from several sources to produce a single concept NANDA North American Nursing Diagnosis Association, purpose is to define, refine, and promote a taxonomy of nursing diagnostic terminology of general use to professional nurses. Quantative Methods focus on numbers and frequencies, with the goal of finding relationships or variables specific to an outcome. Qualitative Methods attempt to collect information about the social world that cannot be readily converted to numeric form EBP Evidence-based practice: nursing care provided that is supported by sound scientific rationale Big Data very large data sets that are beyond human capability to analyze or manage without the aid of information technology. information literacy the ability to recognize when information is needed as well as the skills to find, evaluate and use needed information effectively. knowing when specific information is needed, why it is important, and then being able to locate it, evaluate it, and apply it health literacy the degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions wisdom application of knowledge to manage and solve problems TIGER initiative for technology informatics guiding education reform; advance nurses' competencies related to informatics. Health Information Exchange (HIE) an electronic system that allows physicians, nurses, pharmacists, other health care providers, and patients to appropriately access and securely share a patient's vital medical information. types: -directed exchange:ability to send and receive secure information to other health care providers involved in a patients care over the internet -query-based exchange: healthcare providers the ability to find and/or request information on a patient from other providers and is often used for unplanned/emergency care -consumer mediated exchange: give patients the ability to aggregate and manage their health information on the internet. Data Quality A comprehensive approach to ensuring the accuracy, validity, and timeliness of data. Systems Check A mechanism provided by a computer system to assist users by prompting them to complete a task, verify information, or prevent entry of inappropriate info. Data cleansing/scrubbing A process that weeds out and fixes or discards inconsistent, incorrect, or incomplete information Digitization the process of converting data and information into an electronic format. data governance collection of policies, standards, processes, and controls applied to an organization's data to ensure that it is available to appropriate persons when, where, and in the format needed while maintaining security. data mining Technique used to search and analyze data to reveal patterns and trends in large groups of data using software. Predictive modeling/analytics uses past and current data to forecast the likelihood of an event Business Intelligence integration of business data from different sources to optimize its use and understanding in business decisions. Knowledge discovery in databases (KDD) extraction of implicit, unknown, and potentially useful information from data. Data Modeling a process to define and analyze data requirements to support processes required within an organization. Metadata data that provides information about how, when, and by whom data are collected, formatted, and stored. Knowledge Management (KM) selectively applying knowledge gained from previous experiences and decision-making to current and future situation Knowledge Management Systems sets of information systems that enable organizations to tap into the knowledge, experiences, and creativity of their staff to improve performance. Data Science systematic study of digital data discovery informatics uses scientific models/ theories to create computer based discovery of new learning big data Health Data Sources and Their Limitations Surveys (questionnaires, in-depth interviews) -hard to get detailed information, recall bias, low response rates Med records -only available for people who are ale to get medical care Claims Data (doc appt, bills, insurance) -low validity due to illegal billing practices Vital records (births, deaths, marriages, divorces, fetal death) -records can be inconsistent Surveillance (study of infectious disease) -data can be lacking if doctors do not report it