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HISM (D033): Chapter 2 Exam Questions and Answers 100% Solved $10.99   Add to cart

Exam (elaborations)

HISM (D033): Chapter 2 Exam Questions and Answers 100% Solved

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HISM (D033): Chapter 2 Exam Questions and Answers 100% Solved Authorship - The origination or creation of recorded information attributed to a specific individual or entity acting at a particular time Back-end speech recognition (BESR) - A speech recognition technology in which the physician d...

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  • October 25, 2024
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  • 2024/2025
  • Exam (elaborations)
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JOSHCLAY
©JOSHCLAY 2024/2025. YEAR PUBLISHED 2024.
HISM (D033): Chapter 2 Exam Questions

and Answers 100% Solved


Authorship - ✔✔The origination or creation of recorded information

attributed to a specific individual or entity acting at a particular time

Back-end speech recognition (BESR) - ✔✔A speech recognition

technology in which the physician dictates in the traditional manner and an

editor listens to the audio and reviews the document created

Data accessibility - ✔✔Data items can be easily obtainable by authorized

users

Data accuracy - ✔✔Data that are free of identifiable errors

Data capture - ✔✔The process of recording healthcare-related data in a

health record system or clinical database

Data cleansing - ✔✔The process of checking internal consistency and

duplication as well as identifying outliers and missing data. In other words,

it means looking for errors or problems with the data, such as duplicate

patients

, ©JOSHCLAY 2024/2025. YEAR PUBLISHED 2024.
Data comprehensiveness - ✔✔The patient's health record must be

complete and all required data must be included

Data consistency - ✔✔Ensures that like data are the same on each

document or computer screen

Data currency - ✔✔Ensures that data are up to date

Data definition - ✔✔the specific meaning of a healthcare-related data

element. Defining each data element provides the foundation that allows

everyone to interpret and collect the data in the same way

Data granularity - ✔✔The level of detail at which the attributes and values

of healthcare data are defined

Data integrity - ✔✔The extent to which healthcare data are complete,

accurate, consistent, and timely

Data mapping - ✔✔Allows for connections between two systems

Data precision - ✔✔Ensures that there is justification for the need to collect

the data

Data quality - ✔✔the reliability and effectiveness of data for its intended

uses in operations, decision making, and planning

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