NU625 information technology and data mining in quality
Describe how information technology and data mining affect healthcare quality, then use two quality performance indicators to compare and contrast concrete examples of how technology and data have changed patient care outcomes.
Editorial process
Last reviewed · August 13, 2026
From data capture to changed outcomes
The first prompt asks how information technology and data mining affect quality, and the useful answer traces a chain of causation rather than asserting a benefit and moving on. Electronic records make care data machine-readable; data mining then finds patterns nobody was looking for, including associations between practice variation and patient outcome; those findings then support alerts, clinical decision support and targeted intervention at the point of care; and the same systems then measure whether the intervention worked. Each link in that chain can also fail, and naming how is what makes the answer credible: alerts fire so often that clinicians dismiss them by reflex, documentation burden pulls attention away from the patient in front of the clinician, and inferences get drawn from fields that were recorded to support billing rather than to be clinically accurate. A post acknowledging both directions is stronger than one treating technology as self-evidently good.
The second prompt is more specific than it looks. It asks for two quality performance indicators and a comparison and contrast of how technology and data changed outcomes for each, so pick two that behave differently. Central line infection rates and readmission rates make a good pair: the first is a process-driven measure where surveillance and checklists in the record can drive the number down directly, while the second is an outcome measure shaped by factors well outside the hospital, where data mining contributes by identifying who is at risk rather than by preventing the event. That contrast is the point — where the indicator sits between process and outcome determines what technology can actually do for it. Name both indicators precisely, cite where their published definitions come from, and validate every claim in APA format. Estimating three hours for this discussion is the course signalling that both halves are expected to carry real content.
Likely learning objectives
Inferred from the brief — check these against your own rubric.
- 01Trace the chain from data capture through mining to changed clinical practice.
- 02Identify failure modes of clinical information technology.
- 03Distinguish process indicators from outcome indicators.
- 04Explain why technology affects different indicator types differently.
- 05Cite indicator definitions to the bodies that publish them.
Read the full question
Review every instruction before using the planning guidance that follows.
Course-wide instructions that accompany this question
ADDITIONAL INSTRUCTIONS FOR THE CLASS Discussion Questions (DQ) Initial responses to the DQ should address all components of the questions asked, include a minimum of one scholarly source, and be at least 250 words. Successful responses are substantive (i.e., add something new to the discussion, engage others in the discussion, well-developed idea) and include at least one scholarly source. NU625-7 Unit 4 DQ 1 One or two sentence responses, simple statements of agreement or “good post,” and responses that are off-topic will not count as substantive. Substantive responses should be at least 150 words. I encourage you to incorporate the readings from the week (as applicable) into your responses. Weekly Participation Your initial responses to the mandatory DQ do not count toward participation and are graded separately. In addition to the DQ responses, you must post at least one reply to peers (or me) on three separate days, for a total of three replies. Participation posts do not require a scholarly source/citation (unless you cite someone else’s work). Part of your weekly participation includes viewing the weekly announcement and attesting to watching it in the comments. These announcements are made to ensure you understand everything that is due during the week. APA Format and Writing Quality Familiarize yourself with APA format and practice using it correctly. It is used for most writing assignments for your degree. Visit the Writing Center in the Student Success Center, under the Resources tab in LoudCloud for APA paper templates, citation examples, tips, etc. Points will be deducted for poor use of APA format or absence of APA format (if required). Cite all sources of information! When in doubt, cite the source. Paraphrasing also requires a citation. I highly recommend using the APA Publication Manual, 6th edition. Use of Direct Quotes I discourage overutilization of direct quotes in DQs and assignments at the Masters’ level and deduct points accordingly. As Masters’ level students, it is important that you be able to critically analyze and interpret information from journal articles and other resources. Simply restating someone else’s words does not demonstrate an understanding of the content or critical analysis of the content. It is best to paraphrase content and cite your source. LopesWrite Policy For assignments that need to be submitted to LopesWrite, please be sure you have received your report and Similarity Index (SI) percentage BEFORE you do a “final submit” to me. Once you have received your report, please review it. This report will show you grammatical, punctuation, and spelling errors that can easily be fixed. Take the extra few minutes to review instead of getting counted off for these mistakes. Review your similarities. Did you forget to cite something? Did you not paraphrase well enough? Is your paper made up of someone else’s thoughts more than your own? Visit the Writing Center in the Student Success Center, under the Resources tab in LoudCloud for tips on improving your paper and SI score. Late Policy The university’s policy on late assignments is 10% penalty PER DAY LATE. This also applies to late DQ replies. Please communicate with me if you anticipate having to submit an assignment late. I am happy to be flexible, with advance notice. We may be able to work out an extension based on extenuating circumstances. If you do not communicate with me before submitting an assignment late, the GCU late policy will be in effect. I do not accept assignments that are two or more weeks late unless we have worked out an extension. As per policy, no assignments are accepted after the last day of class. Any assignment submitted after midnight on the last day of class will not be accepted for grading. Communication Communication is so very important. There are multiple ways to communicate with me: Questions to Instructor Forum: This is a great place to ask course content or assignment questions. If you have a question, there is a good chance one of your peers does as well. This is a public forum for the class. Individual Forum: This is a private forum to ask me questions or send me messages. This will be checked at least once every 24 hours.
Turn the brief into deliverables
- 01A description of how information technology and data mining affect the quality of health care.
- 02Two named quality performance indicators.
- 03A comparison and contrast of how technology and data changed outcomes for each.
- 04Citations and references in APA format.
- 05Substantive responses to at least two peers.
Mechanism, then two indicators compared
How the chain works
Capture, mining, decision support, intervention and measurement.
Where it fails
Alert fatigue, documentation burden and billing-driven data quality.
Indicator one
A process-oriented measure with its published definition.
Indicator two
An outcome-oriented measure shaped by factors outside the organisation.
Compare and contrast
What technology could do for each, and why the answers differ.
Indicator definitions from the bodies that set them
Recommended databases
- CMS
- AHRQ
- HealthIT.gov
- PubMed
- Course readings
Search sequence
- 1.Read the CMS quality initiatives material and pick two indicators with published definitions.
- 2.Read the HealthIT account of EHR benefits and note which claims are evidenced.
- 3.Search for evidence on alert fatigue or documentation burden for the failure-mode section.
- 4.Find outcome data showing change over time for each of your two indicators.
- 5.Decide the axis of contrast before writing, so the comparison has a spine.
Reference shortlist
These are authoritative starting points, not a ready-made bibliography. A qualified reviewer must confirm that each source fits the assignment and supports the claim beside which it is cited.
Nothing here is cleared for citation until you have read it.
- 01
Quality Initiatives - General Information
Centers for Medicare and Medicaid Services · 2025
Published quality performance indicators and their definitions.
- 02
Benefits of EHRs
Office of the National Coordinator for Health Information Technology · 2025
The mechanism by which electronic records are claimed to affect quality.
- 03
Quality Improvement
Agency for Healthcare Research and Quality · 2025
How indicators are used to drive and measure improvement.
- 04
Patient Safety and Quality Improvement
Agency for Healthcare Research and Quality · 2025
Evidence on outcomes for process measures such as device-associated infections.
Review before submission
Common mistakes
- Asserting that technology improves quality without tracing how.
- Ignoring alert fatigue, documentation burden and data recorded for billing.
- Naming two indicators but describing rather than comparing them.
- Choosing two indicators so similar that the contrast has nothing to work with.
- Using an indicator without citing its published definition.
- Posting without APA citations, which the instructions require.
Submission checklist
- The mechanism from data capture to outcome change is described.
- At least one failure mode of health IT is acknowledged.
- Two indicators are named precisely, with sourced definitions.
- The two indicators are both compared and contrasted.
- The contrast rests on something structural about the indicators.
- APA citations and two peer responses are present.
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Written by
Aaron Bishop
MA, Education
assignment interpretation and research-methods coaching across disciplines
Aaron leads the EssayCrackers editorial desk. He works on how assignment briefs are read — what a rubric is actually asking for, and where students most often answer a different question than the one set.
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Dr. Nathan Cole
PhD, Rhetoric & Composition
Argumentation and thesis development
Nathan teaches first-year composition and directs a university writing center. He reviews EssayCrackers guides for argumentative soundness and citation accuracy.