BMI2207C CA1 Flashcards
List the 4 objectives of EMRAM (4S).
- Improving patient SAFETY
- Increasing patient SATISFACTION
- SUPPORTING clinicians
- SECURING data
Explain what EMRAM stands for and what it is about.
EMRAM stands for Electronic Medical Record Adoption Model and is by the Healthcare Information and Management System Society (HIMSS). It is a scoring system that incorporates methodology and algorithms that hospitals can follow for digitalisation.
Why is digitalisation important?
- Greater efficiency
- Reduced human errors
- Greater accessibility
- Facilitates integration at the system level
- Enables continuity of care for same patient at different hospitals
- Facilitates data analytics for clinical decisions
- Improves security and privacy
- Allows patient to view and access
What does ETL stand for?
Extract
Transform
Load
What is ETL for?
- Ensures operating systems are kept lean and functional
- Ensures data is effectively integrated and managed
Explain extraction.
Retrieving data from multiple sources. This is because data might be REPEATED in different databases and data might have different variations in different databases.
Explain transform.
Transforming the extracted data to ensure consistency and accuracy.
- Involves data standardisation to ensure that transformed data is compatible with the data in the database
- Challenging to match data from disparate, heterogeneous sources
Explain some important features of ETL systems.
- Ensures data integrity
- Retains flexibility to turn raw data into info that you can work with
- Scalable architecture
- Requires standardised data
How do clinicians use ETL?
- Convert patient data from subsystems like EHR and EMR to allow interoperability
- Downstream analytics and AI operations
- Support clinical decisions
- Create algorithms for diagnostic tools and research
Define Healthcare data.
Any data related to :
- Health conditions
- Reproductive outcomes
- Causes of death
- Quality of life
for an individual or population
Distinguish between primary and secondary healthcare data.
Primary healthcare datasets are data elements that are collected for each patient encounter in a particular healthcare setting.
Secondary healthcare datasets are aggregates of data across multiple encounters.
Explain how healthcare data can be categorised.
Categorised based on difference in level of organisation (structured, unstructured, semi-structured)
Big data is defined by the 3Vs :
Volume, Velocity, Variety
Big data varies in :
Features, Sources, States
Distinguish between data, information and knowledge.
- Data consists of raw facts
- Information consists of a collection of facts organised and processed to provide answers to specific questions
- Knowledge consists of awareness and understanding of a set of information
Finding relationships among data would help to turn data into information and then knowledge.