Data Fundamentals
What is the term for the process of transforming raw healthcare data into a usable format for analysis?
What is data preprocessing?
Which data source would you consider for marketing a new product like At Home Kitting?
What is Consent Data?
What type of chart is commonly used to show the distribution of a single continuous variable in healthcare analytics?
What is a histogram?
This technique summarizes data using measures like mean, median, and standard deviation to describe its basic features
What is descriptive analytics?
What does PHIPA stand for in the context of healthcare data privacy and security?
What is the (Personal Health Information Protection Act) in Ontario's key law?
Name one type of healthcare data that is that PI is considered as extremely sensitive in Healthcare.
What is patient demographics (DOB, health card number, etc.)?
Name one external data source used for data enrichment of Health Care Providers.
What is One-Key Data?
What are two key components of effective data visualization in healthcare analytics?
What are clarity and relevance?
What is the term for the process of predicting future outcomes based on historical data in healthcare analytics?
What is predictive modeling?
What are the 4 data classification standards?.
What is Public, Internal, Confidential, Restricted?
In healthcare analytics, what does the acronym "EMR" stand for?
What is Electronic Medical Record?
What data source would I access for abandon calls, name the source?
What is CCAIT or Five9?
Name one popular data visualization tool used in analytics, known for its interactive capabilities.
What is Power BI? Tableau? etc.
In ETL, this step ensures data consistency by applying business rules and converting data types before loading into the target system.
What is the transformation step?
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What are two key requirements of the General Data Protection Regulation (GDPR) regarding the processing of healthcare data?
What are consent and data minimization?
What statistical measure is used to describe the central tendency of a dataset in healthcare analytics?
What is the mean (average)?
What are some challenges associated with integrating data from multiple healthcare systems?
What are data interoperability issues and inconsistencies in data formats?
What is the purpose of using color in data visualization?
What is to encode additional information or emphasize key points?
This process involves reshaping data from wide format to long format or vice versa for easier analysis
What is pivoting or melting?
When sharing diagnostic data across provinces, labs must comply with these interoperability standards to ensure secure and accurate exchange?
What are HL7 and FHIR standards?
What is the purpose of exploratory data analysis in healthcare analytics?
What is to understand the underlying patterns and relationships in the data before formal modeling?
What is the primary purpose of data warehousing in healthcare analytics?
What is to integrate and consolidate data from various sources for analysis and reporting?
What principle suggests that the visual representation of data should accurately reflect the underlying data values?
What is the principle of data integrity in visualization?
This data wrangling step detects and corrects inconsistencies in categorical values, such as typos or mixed casing.
hat is data standardization or normalization of categorical values?
To maintain compliance with privacy laws, laboratories must implement these safeguards when transmitting patient data electronically.
What are encryption and secure transmission protocols (e.g., TLS)?