| Course | MHA 507 Using Informatics in the Health Sector (MHA/507) |
|---|---|
| Week | 3 |
| Paper type | Data privacy paper |
| Length | about 1,151 words, 4 double-spaced pages plus title page and references |
| Format | APA 7 student paper |
| School | University of Phoenix |
| Program | MHA |
| Updated | September 2026 |
Free sample paper for MHA 507 Week 3
Three Requests for the Same Records: Deciding What a University, a Dashboard Vendor and a Unit Manager May See From a Health System's Electronic Record
[Student Name]
University of Phoenix
MHA/507: Using Informatics in the Health Sector
Week 3 Assignment
[Instructor Name]
[Date]
The health system, its requests and decisions are composites written for a model paper; federal rules and research findings come from the sources listed.
In one week, the performance improvement manager at a composite four-hospital system received three requests for patient data. A university health services researcher asked for two years of readmission data, including dates, ZIP codes and diagnoses, for a study of readmission patterns. A software vendor offered a free quality dashboard if the system sent a nightly feed of patient-level data from its electronic record. And a nurse manager asked for access to every patient record on her unit, not only those of patients assigned to her. The manager worked through each with the privacy officer. This paper explains the rules and the decisions.
Purpose Determines the Path
Federal privacy rules let a provider use and share patient information to treat patients, get paid and run its operations, permit research under set conditions and allow vendors to handle data on an organization's behalf under business associate agreements. For most uses other than treatment, organizations must limit information to the minimum necessary for the purpose (U.S. Department of Health and Human Services, 2026). The first question for any request is therefore its purpose.
Paths for Sharing Data
The rules provide several paths. Data can be de-identified in one of two ways: stripping out 18 listed identifiers, or having a qualified statistician certify, after analysis, that identifying any individual would be very unlikely; de-identified data are no longer protected health information. A limited data set removes direct identifiers such as names and addresses but keeps some dates and geographic details, and may be shared for research, public health or operations under a data use agreement. Identifiable data may be shared for research when patients authorize it or when a research ethics board grants a waiver.
How Safe Is De-Identified Data?
Evidence on re-identification points in two directions. A study using generative models estimated that 99.98% of Americans would be correctly re-identified in any data set using 15 demographic attributes, challenging the idea that removing names makes data anonymous (Rocher et al., 2019). A systematic review of actual re-identification attacks found that about a quarter of records were re-identified on average across studies, but most attacks targeted data not de-identified to existing standards, and the one attack on properly de-identified health data succeeded for a tiny fraction of records (El Emam et al., 2011). De-identification lowers risk a great deal when done properly and much less when done loosely.
Request One: The University
The researcher's study needed dates and ZIP codes to analyze time to readmission and neighborhood patterns, which rules out fully de-identified data under the removal method. A limited data set fits. The system agreed to provide admission and discharge dates, five-digit ZIP codes, age, sex and diagnosis codes, without names, record numbers or addresses, under a data use agreement prohibiting re-identification or contact with patients, limiting use to the approved study and requiring destruction at the end. The university's review board also approved the study.
Request Two: The Vendor
A vendor that receives patient data to perform a service for the system is a business associate. The free dashboard raised questions: what the vendor would do with the data, whether it would combine them with other clients' data and how it would protect them. The system required a business associate agreement limiting use to providing the dashboard, prohibiting sale or other use, requiring security safeguards and breach notification and returning or destroying data at the end. It also reduced the feed to the fields the dashboard needed and removed patients' names and street addresses. The vendor accepted.
Request Three: The Nurse Manager
Treatment uses are not subject to the minimum necessary standard, but access should still match the role. A unit nurse manager has legitimate reasons to see records of patients on her unit for supervision, staffing and quality review. The system's role-based access was updated to let unit managers view records of patients currently on their units and for 30 days after discharge, with all access logged. She could not view records of patients on other units or of staff members treated elsewhere in the system without a reason documented in the record.
Controls Inside the Record
The electronic record enforces privacy through role-based access, which grants each job the records and functions it needs; break-the-glass access, which lets clinicians override limits in emergencies with a documented reason and review; audit logs of every view; and automated alerts for unusual access, such as a staff member viewing a family member's or coworker's record.
Monitoring Access
The privacy office reviews audit alerts weekly. In the past year, alerts led to 14 investigations and 5 findings of inappropriate access, each addressed through discipline and retraining.
Governance of Data Requests
The three requests led to a standard process for every future request: a data request form stating purpose, fields, recipients and retention; review by the privacy officer, the data governance lead and, for research, the review board; and a register of all data shared outside the organization.
Security Obligations Travel With the Data
Privacy rules govern who may use data; security rules govern how data are protected wherever they go. The data use agreement and business associate agreement both require the data to be encrypted whether stored or moving, restrict access to named people and oblige prompt notice of any breach. Before sending the first file, the system's security team confirmed the university's secure research environment and reviewed the vendor's most recent independent security assessment.
Patients' Expectations
The law is a floor, not the whole standard. Patients generally expect their information to be used for their care and for improving care, and they are more wary of commercial uses. The system posted a plain-language page explaining how it uses and shares data for research and quality improvement, and its patient advisory council reviewed the vendor arrangement before approval.
Training Analysts
The analysts who pull data are the last line of defense. Each completed training on the request process, the difference between identified and de-identified data and safe handling of extracts, including never emailing patient-level files and deleting working copies after use. The manager added a checklist to every extract: purpose verified, fields limited, recipient confirmed and agreement on file.
Balancing Privacy and Value
Refusing all requests would have blocked research that could reduce readmissions and a tool that could improve quality. Approving them without conditions would have exposed patients. The rules, applied carefully, allowed both.
Conclusion
Three requests for the same records followed three different paths: a limited data set for research, a business associate agreement for a vendor and role-based access for a manager. Evidence that re-identification risk depends on how carefully data are de-identified shaped the conditions. Controls in the record and a standard request process let the system use its data while keeping faith with patients.
References
El Emam, K., Jonker, E., Arbuckle, L., & Malin, B. (2011). A systematic review of re-identification attacks on health data. PLoS ONE, 6(12), e28071. https://doi.org/10.1371/journal.pone.0028071
Rocher, L., Hendrickx, J. M., & de Montjoye, Y.-A. (2019). Estimating the success of re-identifications in incomplete datasets using generative models. Nature Communications, 10(1), 3069. https://doi.org/10.1038/s41467-019-10933-3
U.S. Department of Health and Human Services. (2026). Security and privacy, 45 C.F.R. pt. 164. Electronic Code of Federal Regulations. https://www.ecfr.gov/current/title-45/subtitle-A/subchapter-C/part-164
What the MHA 507 Week 3 instructions ask
MHA 507 Week 3 usually asks students to address data privacy and the electronic medical record in the context of using data for decisions. Prompts may ask students to explain federal privacy requirements for using and sharing health data, describe de-identification and data use agreements, discuss access controls and audit functions in the electronic record and analyze risks and trade-offs in real requests for data. Some versions ask students to draft a data use agreement outline. Strong papers apply the rules to specific requests, distinguish treatment, operations, research and business associate uses, explain de-identification methods and their limits with evidence, describe technical and administrative controls and balance privacy with the legitimate value of data.
How this MHA 507 Week 3 example is built
The paper opens with three emails arriving the same week. A university asks for two years of readmission data for a study; a vendor offers a free dashboard if it receives a nightly data feed; and a nurse manager asks for access to every patient record on her unit. Federal rules on minimum necessary use, de-identification, limited data sets and business associate agreements are explained. Research showing that most Americans can be re-identified from enough demographic details is weighed against a review of attacks on properly de-identified data. Each request receives a decision with conditions, and controls inside the record, an access audit program and a standard data request process close the paper.
MHA 507 Week 3 grading rubric: where the points go
The privacy week is generally graded on accurate application of privacy rules and thoughtful handling of trade-offs. Graders look for correct distinctions among uses for treatment, operations, research and vendors, explanation of minimum necessary, de-identification methods, limited data sets and agreements, evidence on re-identification risk, electronic record controls such as role-based access and audit logs and decisions that protect privacy without blocking legitimate use. Specific requests analyzed step by step earn credit. Federal rules and peer-reviewed research strengthen the paper. The last points go to APA style and clear organization, and papers that treat all data sharing as forbidden, or all de-identified data as risk-free, usually lose points.
MHA 507 Week 3 help: mistakes to avoid
Weak MHA 507 Week 3 papers treat privacy as a wall rather than a set of rules with paths through them. For each request, identify the purpose: treatment, operations, research or a vendor service. Apply the right path: minimum necessary access, de-identification, a limited data set with a data use agreement or a business associate agreement. Explain that de-identification reduces but does not always eliminate re-identification risk, citing evidence on both sides. Describe controls in the record, such as role-based access and audit logs. Finally, show that the decision protects patients while still letting the organization use data well, and describe how the decision will be documented and reviewed.
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MHA 507 Week 3 questions, answered
What does MHA/507 Week 3 usually ask for?
Prompts usually ask students to address privacy and the electronic record when using health data, including federal rules, de-identification, data agreements and access controls.
Where can I find a free MHA 507 Week 3 sample paper?
Every decision in the three-request privacy paper is laid out above for free, with a comment beside each. Send the data requests your own organization faces, and we write your first paper without charge.
What is a limited data set?
Health information with direct identifiers removed but some details, such as dates and ZIP codes, retained, which may be shared for research, public health or operations under a data use agreement.
Can de-identified health data be re-identified?
Sometimes; one study estimated that 99.98% of Americans could be re-identified using 15 demographic attributes, while a review found very low success for attacks on data de-identified to existing standards.
What is the minimum necessary standard?
A privacy rule requirement that, for most uses and disclosures other than treatment, an organization limit protected health information to the minimum needed for the purpose.
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