| Course | HA 645 Quality Improvement and Patient Safety in Healthcare |
|---|---|
| Unit | Unit 2 |
| Paper type | Measure specification |
| Length | About 1,070 words, 6 pages |
| Format | APA 7 student paper |
| School | Herzing University |
| Program | MS in Healthcare Administration |
| Updated | October 2026 |
Free sample paper for HA 645 Unit 2
Did the Follow-Up Scan Happen? A Measure Specification for Closing the Loop on Incidental Lung Nodules Found on Emergency Department CT
Student Name
Health Care Administration, Herzing University
HA 645: Quality Improvement and Patient Safety in Healthcare
Instructor Name
January 22, 2026
Did the Follow-Up Scan Happen? A Measure Specification for Closing the Loop on Incidental Lung Nodules Found on Emergency Department CT
Measure Name, Purpose and Type
Name: Incidental Pulmonary Nodule Follow-Up Completion, Emergency Department CT.
Purpose: Northfield Regional Medical Center performs about 3,900 chest CT scans a year in its emergency department. Some show a lung nodule unrelated to the reason for the visit that, under national guidelines, needs a follow-up scan to rule out early cancer (MacMahon et al., 2017). No public rating tracks whether that follow-up happens, and published work shows that it often does not (Blagev et al., 2016). This measure tells Northfield how often it closes the loop.
Type: process. It counts whether a recommended step of care was completed, not whether a patient's outcome changed. In the familiar framework of structure, process and outcome, a process measure is appropriate when the link between the process and the outcome is established, as it is for surveillance of suspicious nodules (Donabedian, 1988). A companion outcome measure, stage at diagnosis for nodule-related cancers, is too rare at Northfield's volume to track usefully.
Denominator
Population: emergency department patients aged 35 years or older who had a CT of the chest, including CT pulmonary angiography, at Northfield, whose finalized radiology report contains the structured incidental-finding statement "Pulmonary nodule, follow-up CT recommended" with a recommended interval.
Window: CT scans finalized during the measurement quarter. Because follow-up intervals run to 12 months, the measure for a given quarter is reported 13 months after the quarter ends. For example, the measure for CTs finalized January through March 2026 is reported in April 2027.
Index date: the date and time the radiology report was finalized.
Numerator
Rule: denominator patients with a completed follow-up chest CT, at Northfield or elsewhere, performed on or before the index date plus the recommended interval plus 30 days.
Date logic: the recommended interval is taken from the structured report field, in months, and converted to days at 30.4 days per month, rounded up. A patient with a 6-to-12-month recommendation is counted as complete if the follow-up CT date is on or before the index date plus 365 days plus 30 days, that is, within 395 days. Where a range is given, the upper bound is used. A follow-up CT performed before the lower bound still counts, since earlier imaging does not fail the patient.
Evidence of completion: a Northfield CT result in the electronic record, or an outside CT report received through the health information exchange or scanned into the record. A patient's statement alone does not count.
Exclusions, Each With Its Reason
1. Known active cancer at the index date, documented in the problem list. Reason: the national nodule guidelines do not apply to patients with a known primary cancer, who are followed by oncology. 2. Immunocompromised status documented at the index date. Reason: the guidelines exclude these patients, whose nodules are often infectious and are managed differently. 3. Death within the follow-up window. Reason: follow-up could not occur. 4. Enrollment in hospice within the window. Reason: surveillance imaging is not consistent with hospice goals of care. 5. A documented informed refusal of follow-up imaging by the patient after notification. Reason: the loop was closed; the patient decided. Refusals are counted and reported separately so that a rising refusal rate is visible.
Not excluded: patients without a primary care physician, patients who are uninsured, and patients who live outside the service area. These are the patients most likely to be lost, and excluding them would make the measure look better by removing the problem it exists to find.
Data Sources and Who Pulls Them
Denominator: radiology information system, structured incidental-finding field and recommended-interval field, pulled monthly by the radiology quality analyst. Exclusions: electronic record problem list (cancer, immunocompromise), registration system (death), hospice enrollment flag, and the nurse navigator's refusal log, pulled by the same analyst. Numerator: electronic record imaging results and the health information exchange query, run by the analyst; outside reports scanned into the record are found through the document index. The analyst's queries are stored in the quality department's shared library so another analyst can reproduce any quarter.
Sampling, Stratification, Baseline and Target
Sampling: none. All eligible cases are included, about 75 to 85 patients a quarter at current volume.
Stratification: results are reported by whether the patient has a primary care physician of record, by insurance status (commercial, Medicare, Medicaid, uninsured), by age band (35 to 64, 65 and older), and by CT type (pulmonary angiography or other chest CT). These strata are chosen because each is a plausible reason for a patient to be lost after discharge.
Baseline period: CTs finalized January through June 2024, so that every follow-up window had closed before measurement. Baseline result: 146 patients in the denominator after exclusions; 45 completed follow-up; 30.8%.
Target: 70% for CTs finalized from July 2026, the first quarter after the planned tracking process begins. Because the main measure takes 13 months to report, a leading measure is reported monthly alongside it: the percentage of denominator patients whose primary care physician, or the patient directly if there is none, received written notice of the nodule and the recommended interval within 14 days of the index date. Target for the leading measure: 95%.
Balancing measure: follow-up CTs ordered for patients whose report did not recommend follow-up, counted quarterly, to detect overuse of imaging and radiation as attention to nodules increases.
Known Weaknesses of the Measure
Three weaknesses are acknowledged so they are not discovered later. First, the denominator depends on radiologists using the structured incidental-finding statement. A nodule described only in free text in the findings section would be missed by the query, and published work suggests such nodules are the least likely to be followed up (Blagev et al., 2016). The radiology department will audit 30 randomly chosen chest CT reports a quarter for nodules described without the structured statement, and report that count beside the measure. Second, follow-up performed at a facility that does not share records through the exchange will be counted as not done unless the navigator obtains the report. The navigator will call a sample of patients recorded as not done each quarter to estimate how often this happens. Third, the 13-month reporting lag means the measure cannot guide weekly work; the leading notification measure exists for that purpose, and the two should always be read together.
References
Blagev, D. P., Lloyd, J. F., Conner, K., Dickerson, J., Adams, D., Stevens, S. M., Woller, S. C., Evans, R. S., & Elliott, C. G. (2016). Follow-up of incidental pulmonary nodules and the radiology report. Journal of the American College of Radiology, 13(2), R18-R24. https://doi.org/10.1016/j.jacr.2015.12.008
Donabedian, A. (1988). The quality of care: How can it be assessed? JAMA, 260(12), 1743-1748. https://doi.org/10.1001/jama.1988.03410120089033
MacMahon, H., Naidich, D. P., Goo, J. M., Lee, K. S., Leung, A. N. C., Mayo, J. R., Mehta, A. C., Ohno, Y., Powell, C. A., Prokop, M., Rubin, G. D., Schaefer-Prokop, C. M., Travis, W. D., Van Schil, P. E., & Bankier, A. A. (2017). Guidelines for management of incidental pulmonary nodules detected on CT images: From the Fleischner Society 2017. Radiology, 284(1), 228-243. https://doi.org/10.1148/radiol.2017161659
Reading the HA 645 Unit 2 instructions
Unit 2 asks you to write a specification for a quality measure. Expect the name, purpose and type, the denominator, the numerator with date logic, exclusions with reasons, data sources and owners, sampling, stratification, baseline and target, and known weaknesses. Students often ask how detailed the definitions must be. Precise enough that two analysts would count the same cases. Define the denominator from a field that can be queried, not a judgment. Spell out time windows in days. Give a reason for every exclusion, since unexplained exclusions look like gaming. Stratify by groups where gaps are likely, such as patients without a primary care physician. State weaknesses before others find them.
How this HA 645 Unit 2 example is built
The specification opens with the measure's name, why it matters and its classification as a process measure. The denominator section defines age, scan types and the structured report statement that qualifies a patient. The numerator section sets the completion window and shows how months convert to days. A numbered list gives five exclusions, each with a reason grounded in the nodule guidelines or data availability. The data section names systems and the analyst responsible for each pull. The sampling section notes that all eligible cases are counted. Stratification, baseline and target are stated with reasons. The weaknesses section explains reliance on structured statements, outside scans that may be missed and small quarterly counts.
Where the points sit in the HA 645 Unit 2 rubric
Herzing's rubric for a measure specification typically covers name and purpose, denominator, numerator, exclusions, data sources, sampling and stratification, baseline and target, and weaknesses. Precise, reproducible definitions of the denominator and numerator weigh most, because a measure two analysts would count differently cannot track improvement. Purpose points reward a link to patient harm. Exclusion criteria look for a reason for each. Data credit goes to named systems and owners. Stratification points reward groups where disparities are likely. Targets should be justified. Weaknesses stated openly are often credited, along with a plan for when the measure will be reviewed and revised. Donabedian's quality framework, the Fleischner Society nodule guidelines and Blagev's study of nodule follow-up support the specification.
HA 645 Unit 2 help before you submit
Measure specifications in HA 645 Unit 2 frequently go wrong with denominators that depend on judgment rather than a queryable field. Another frequent problem is time windows stated loosely, such as about a year. Students often list exclusions without reasons. Data sources have no owner. Stratification is skipped, hiding gaps by insurance or primary care status. Targets are picked without a baseline. Outside follow-up scans are not counted, so patients who had the scan at another facility look like failures and the rate understates real performance. Weaknesses are left for reviewers to discover. Finally, write it so two people would count the same patients, because graders reward a specification an analyst could run the next morning.
Get a HA 645 Unit 2 example written to your instructions
Send the Unit 2 instructions and the rubric from your HA 645 classroom, plus the measure your section assigned or the process you want measured. We write a custom example with the numerator and denominator written as rules, exclusions justified, a source named and a baseline period argued, returned in 24 to 48 hours. The first custom sample is free.
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HA 645 Unit 2 questions, answered
Should I specify an outcome measure or a process measure?
Take whichever your instructions point at, and where the choice is open, pick the one you can genuinely define. Process measures are easier to specify and faster to move; outcome measures are harder to attribute but carry more weight with leadership. Whichever you choose, state the type at the top and add one balancing measure so the page shows what the change might cost elsewhere.
How long should the baseline period be?
Long enough to contain the ordinary ups and downs of the process, which for most monthly measures means a year rather than a quarter. Short baselines make an unusual stretch look like normal performance and hand you a target you cannot hold. Say in the specification why you chose that window, since a defended baseline reads far stronger than a round number.
Can I specify a measure my organization does not collect?
In many sections yes, and a proposed measure often produces a better page, because you have to say where the data would come from instead of pointing at an existing report. Name the system that would hold it, the work the pull would take and who would own it. What you should not do is invent current performance figures to fill the baseline line.
Where can I find a free HA 645 Unit 2 sample paper?
Read the complete HA 645 Unit 2 measure specification here at no charge, incidental lung nodule follow-up with denominator, numerator, exclusions and weaknesses. Ask for a custom specification for another measure.
What goes in a quality measure specification?
Name and purpose, denominator, numerator with time windows, exclusions with reasons, data sources, sampling, stratification, baseline, target and known weaknesses. This sample covers each for lung nodule follow-up.