HADM 4840 Exam 1

What is data collected through?
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Terms in this set (22)
What is data collected through?
diagnostic tests
services provided
costs & payment
diagnosis & procedure codes
The task of transforming, summarizing, or modeling data to allow the user to make meaningful conclusions
data analysis
the use of data for its primary purpose
Ex) billing & coding to determine payment for services
primary data analysis
the use of data beyond its primary purpose
Ex) analyzing billing data to benchmark cost or stats on the number of services provided to a patient
secondary data analysis
- describes the distribution of data
- estimates the center or 'typical value'
- measures the spread or variation in the data
descriptive statistics
- uses sample data to make conclusions or decisions regarding a population
- not practical to observe the entire pop.
- often accompanied w/ a probability of making an incorrect decision based on the sample
Inferential statistics
- data stored in fields that may be delineated
- values can be listed & validated
Ex) admission date, gender, CPT code
Structured Data (Discrete Data)
- free-form text data captured in narrative form
- may be stored in a database field, but the content is not limited to values of a variable
Ex) progress notes in an EHR, comments in patient satisfaction survey
Unstructured Data
- describes observations about a subject
- typically free text or comments (a lot of open ended questions)
- may be recorded or placed into categories for analysis
Ex) survey questions, a nurse describes a patient as having pale skin tone
Qualitative Data
What data scales are typically used for recording qualitative data?
Nominal: categories w/o a natural order (gender, race, colors, diagnosis codes)
Ordinal: categories w/ a natural order (patient satisfaction surveys, patient severity scores, evaluation & mngt code levels)
- naturally numeric - may be categorical (ordinal/nominal)Quantitative DataWhat data scales are found in quantitative analysis?- Interval: numeric values where the distance b/w 2 values has meaning, but no true 0, and multiplying values has no meaning Ex) temp., dates - Ratio: numeric values where 0 has meaning, and multiplying/dividing values has meaning Ex) currency, LOS, age, weight- used to uncover patterns in data - typically a secondary use of data - primarily graphical analysis (plots, trends)exploratory data analysis (EDA)- looks for patterns in data - adds in descriptive stats & more formal statistical techniques - may be used for benchmarking & determining high/lower performersdata mining- historical data is used to build models to determine most likely outcome in future - data mining is used to identify the potentially best predictors - maybe a simple function (linear regression) or more involved models (neural networks) Ex) used by CMS for pre-payment reviews to fight fraud, used by credit card co. to fight fraud, used by providers to identify missed chargespredictive modelingperformance of internal & external reviews to find variations from established baselines - performed using random samplesAuditingContractors who perform audits of HC provider billing data to find payment errors & recover overpayments for the medicare programRecovery Audit Contractor (RAC)Must be able to combine: - content knowledge - understanding the strengths & weaknesses of various data elements - data acquisition skills through querying databases or effectively writing specifications for queries - ability to identify the appropriate statistical technique to apply - familiarity w/ analytic software to produce the required output - present the analysis to the end user so that it may be the basic for business decisionsData Analyst Skill Must be able to Combine:HIM Professionals are uniquely positioned to:- understand data structures and coding systems - understand available data and methods for integration - can communicate w/ both finance and IT staff - act as a business analystEntry Level Health Data Analyst Responsibilities- working with data - reporting resultsMid-level Health Data Analyst Responsibilities- work collaboratively ' - develop & maintain - develop, implement, & enhance evaluation and measurement models for the quality, data and reporting, and data warehouse department programs, projects, and initiatives for maximum effectiveness - act as a business analystSenior-level Health Data Analyst Responsibilities- understand & address the info needs of governance, leadership, and staff to support continuous improvement of patient care processes and outcomes - lead & manage efforts to enhance the strategic use of data and analytic tools to improve clinical care processes and outcomes continuously