Sayles chapter 12 from reading

key indicator

A quantifiable measure used over time to determine whether some structure, process, or outcome in the provision of care to a patient supports high-quality performance measured against best practice criteria

point of care charting

A system whereby information is entered into the health record at the time and location of service

natural language processing nlp

A technology that converts human language (structured or unstructured) into data that can be translated then manipulated by computer systems; branch of artificial intelligence;Two other technologies—speech recognition (speech-to-text) and natural language processing (NLP)—provide yet another way to acquire health data. NLP is a technology that converts human language (structured or unstructured) into data that can be translated and then manipulated by computer systems. Integration of these technologies with the EHR system can result in the provision of clinical information needed by providers to inform decision making. (Sayles 326) Sayles, Nanette. Health Information Management Technology: An Applied Approach, 5th Edition. AHIMA Press, 20160725. VitalBook file.

scorecard

A tool for evaluating alternative assessments that lists the characteristics or factors to use when evaluating learning and a maximum point value for each criterion but does not describe levels of quality.

Data Capture

The process of indirectly entering data into a system by recording (capturing) it electronically and converting it to machine-readable form. Examples of data capture methods include bar coding, voice recognition software, and structured templates.

discuss analytics

There are different types of analytics. Descriptive analytics answers the question "what happened," diagnostic analytics answers the question "why did it happen," predictive analytics answers "what will happen," and prescriptive analytics answers "how can we make it happen" (Gartner 2012). (Sayles 323) Sayles, Nanette. Health Information Management Technology: An Applied Approach, 5th Edition. AHIMA Press, 20160725. VitalBook file.

dashboard

a BI application that provides rapid access to timely information and direct access to management reports

Data Visualization

describes technologies that allow users to see or visualize data to transform information into a business perspective

structured data

machine readable data ; data that (1) are typically numeric or categorical; (2) can be organized and formatted in a way that is easy for computers to read, organize, and understand; and (3) can be inserted into a database in a seamless fashion.

unstructured data

non binary human readable data ;nonnumeric information that is typically formatted in a way that is meant for human eyes and not easily understood by computers

discreet data

represent separate and distinct values or observations; that is, data that contain only finite numbers and have only specified values.

back-end speech recognition

specific use of SRT in an environment where the recognition process occurs after the completion of dictation by sending voice files through a server

methods for preventing data quality problems related to Word processing and copying

•Clearly label the information as copied from another source •Limit the ability for data to be copied and pasted from other systems •Limit the ability of one author to copy from another author's documentation •Allow a provider to mark specific results as reviewed •Allow only key, predefined elements of reports and results to be copied or imported •Monitor a clinician's use of copy and paste (AHIMA Work Group 2015) (Sayles 326) Sayles, Nanette. Health Information Management Technology: An Applied Approach, 5th Edition. AHIMA Press, 20160725. VitalBook file.

when considering methods for ehr data capture one should consider what best practices /

•Consider what data needs to be captured and customize available tools to collect it. •Evaluate the data and determine its placement in the record to determine what rules or procedures are needed to upload the information most efficiently and without errors. •Collect the data in a standardized format using templates or discrete fields to make retrieval for reporting easier. •Routinely audit a sample of records that are collected using the data capture methods described. •Acquire primary and secondary data from existing internal or external data sources (AHIMA 2014). (Sayles 326) Sayles, Nanette. Health Information Management Technology: An Applied Approach, 5th Edition. AHIMA Press, 20160725. VitalBook file.