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Question 1 What are the AHRQ prevention quality indicators (PQIs)?…
Question 1
What are the AHRQ prevention quality indicators (PQIs)?
1 point
The PQIs are a set of measures that can be used with hospital inpatient discharge data to identify quality of care for ambulatory care-sensitive conditions.
The PQIs are a set of measures that can be used with clinical data to prevent adverse events.
The PQIs are a new group of eCQM measures.
The PQIs are a group of measures within the HEDIS system.
Involved clinical data for Meaningful Use.
2.
Question 2
What are all the correct attributes of the Charlson Comorbidity Index?
1 point
Was developed by independent researchers.
Has weights associated with each category.
Is a relatively expensive commercial grouper.
Is similar to the HCUP Comorbidity grouper.
Groups laboratory codes
Is a subset of the CCS grouper system.
3.
Question 3
Which are common commercial groupers? (Select all that apply).
1 point
Charlson Groupers
Clinical Classification Software
Symmetry ETGs
RxNorm
Diagnosis Related Groups
4.
Question 4
Why do healthcare analysts use groupers?
1 point
Healthcare analysts often do not have the appropriate training – they need data pre-aggregated.
Grouper technology groups medical records into simple strata
Most statistical and data mining algorithms will not work well with hundreds or thousands of categories – it is often necessary to group codes, records and other data into more manageable categories for analyses.
Medical terminologies are not granular enough – groupers lead to more analytical and granular categories.
5.
Question 5
With clinical identification algorithms, which questions might help identify and measure medical conditions? (Select all that apply)
1 point
What procedures and prescription drugs might reliably identify conditions?
What claims or encounter types should be considered?
What is the source of the diagnosis?
How many diagnoses should be considered?
6.
Question 6
Which are the correct associations between groupers and types of medical terminologies? (Select all that apply).
1 point
Clinical classification software and ICD codes
Comorbidity software and drug codes
Clinical classification software and drug codes
Chronic condition indicator and ICD codes
Berenson-Eggers Type of Service system (BETOS) and HCPC codes
7.
Question 7
Which attributes are associated with the Hierarchical Condition Categories? (Select all that apply).
1 point
Group ICD Codes into smaller categories
Are sub-categories of the Clinical Classification Software
Have recently been used for risk-adjustment within the new health exchanges created by the Affordable Care Act.
Are a commercial grouper system that require a fee
Group ICD and laboratory codes
Developed in the 1990s to adjust for health differences among Medicare member.
8.
Question 8
What are groupers?
1 point
Groupers are algorithms that group ICD-9 codes into financial categories.
Groupers are a type of data that group medical records into clinical categories for analyses and study.
Groupers are categories of medical records that form natural categories for analyses and study.
Groupers are algorithms that group codes or sets of medical records into more meaningful categories for analyses and study.
Groupers are the key technology that aggregate information within EHR systems.
9.
Question 9
What is the purpose of the Clinical Classification Software (CCS)?
1 point
Evaluate clinical groups using medication categories.
Identify which patients in a clinical database have rare conditions.
Group ICD codes into clinically homogenous groups.
Identify co-morbidity categories among common diseases.
Group diagnoses and drugs into financial categories.
10.
Question 10
What does HEDIS stand for? Are these commonly used? About how many measures are there within HEDIS?
1 point
Health Care Effectiveness Data and Information Set; Uncommon; over 500 measures.
Health Care Effectiveness Data and Information Set; only starting to be used; Over 1000 measures.
Health Care Efficacy Data and Information Set; Common among hospital; less than 20 measures.
Health Care Effectiveness Data and Information Set; Very common; over 90 measures.
11.
Question 11
Which statements are correct concerning sensitivity and specificity when creating clinical identification algorithms?(Select all that apply)
1 point
Clinical identification algorithms include clinical data – little error in identifying diseases should be expected.
Specificity is the true negative rate.
Sensitivity is the true positive rate.
Sensitivity and specificity must be thought about together.
Clinical identification algorithms are similar across domains. Concerns with sensitivity and specificity are not expected to differ when looking at financial vs. clinical care.
