HIM 220 CH. 14 Data Analytics
predictive modeling
a process in predictive analysis to identify patterns that can be used to determine the odds of a particular outcome based on the observed data -statistics from the past are reviewed to determine what is likely to happen in the future -used to predict future trends -can help reduce costs and improve care
Dashboard
a visual display of the most important information that a physician would need to see about his patient -these usually can be customized by facilities or an individual. -can have labs, X-rays medications, physician orders, on the electric __________
information governance (IG)
organization-wide framework for managing information throughout its lifecycle and support the organizations strategy operations and regulatory legal and environmental requirements -includes policies, procedures, and protocols
data mining
process of extracting and analyzing large volumes of data from a database for the purpose of identifying hidden and sometimes subtle relationships or patterns and using those relationships to predict behaviors -uses both graphical techniques and descriptive statistics to identify trends and patterns in data
Clinical Data Warehouse
-collection of data that reflects all aspects of hospital operations and that is used for reporting and analysis. -rather than backing up data, it lets users find subject-oriented information on demand.
real time analytics
-data that can be accessed as they come into the computer system -aka streaming analytics -implies instantaneous results; however data may not be immediately available but within a few minutes
predictive analytics
-is a branch of data mining concerned with the prediction of future probabilities and trends -also called forecasting -is about understanding the future and keeping in mind nothing can predict the future with 100% certainty -takes information from the EHR and data warehouses and tries to make the best guess based on patterns
data analytics
-link various components, including provider and equipment supplier names, aliases and demographic data, to detect unusual or hidden relationships -the science of examining raw data with the purpose of drawing conclusions about that information
prescriptive analytics
-related to descriptive and predictive analytics but it tries to automatically process new data to improve the accuracy of predictions and provide better decisions -allows users to prescribe a different amount of possible actions -predicts what will happen but also provides recommendations that will take advantage of the predictions -allows them to look at possible outcomes and come to a decision -relatively new
descriptive analytics
-summarization of data -describes raw data -helps us see what was done in the past -most statistics we use falls into this category
evidence based medicine
-trend in healthcare to move towards this -involves systematically reviewing clinical data and making treatment decisions based on the best available information -this would be tedious and most impossible for a physician to complete manually
health data analyst
responsible for taking health data and transforming it into information that is easily understood -ahima offers CHDA credential -practitioners who earn this credential have the knowledge to acquire, manage, analyze, interpret and transform data into accurate, consistent, and timely information while balancing the "big picture" strategic vision with day to day details.
Big Data
term used for massive amounts of information that can be interpreted by analytics to provide an overview of trends or patterns
data analysis
the task of transforming, summarizing, or modeling data to allow the user to make meaningful conclusions. -example---can help healthcare administration identify fraud in their billing claims.
