DNP 805 Topic 4 DQ 2 Discuss the type of integration data from your defined patient population in Topic 4 DQ 1 would require
Integration is a technical claim, not an aspiration. Two systems join on an identifier, a coded vocabulary and a time reference, and if any of those is missing the integration does not happen.
Editorial process
Last reviewed · August 18, 2026
Clinical and administrative data, joined on what?
Start by naming the data your population actually requires, because integration is only meaningful once you know what you are joining. For a heart failure population you need clinical data — diagnoses, ejection fraction, weights, medications, laboratory values — and administrative data — admission and discharge dates, payer, length of stay, cost per case, readmission within thirty days. The question the prompt is really asking is what has to be true for those to be linked. Three things: a patient identifier that means the same person in both systems, a coded vocabulary so that a diagnosis in one system maps to a diagnosis in the other, and a time reference so that an encounter can be located relative to a measurement. That is the substance, and stating it is what separates this from a general endorsement of integrated data. Integration is a technical claim about three specific conditions, not a general commitment to joined-up care.
Then say how an EHR database facilitates it, and be specific about mechanism. A single shared database is the simplest case and the least common: more often the EHR is the clinical source and integration happens through an interface engine, an HL7 or FHIR exchange, or a data warehouse that extracts from both and reconciles them. Standard terminologies do the vocabulary work — ICD for diagnoses, CPT for procedures, LOINC for laboratory results, SNOMED CT for clinical concepts, RxNorm for medications — and a master patient index does the identity work. Then name the failure modes honestly, because they are where a DNP project actually stalls: free-text fields that carry the clinical detail you need and cannot be queried, documentation whose completeness varies by unit, administrative coding optimised for billing rather than for clinical accuracy, and governance approval for extracting patient data taking longer than the project timeline allows for.
Likely learning objectives
- Specify the clinical and administrative data a defined population requires.
- Identify identifier, vocabulary and time as the join conditions.
- Describe the mechanisms by which an EHR supports integration.
- Name the practical failure modes of health data integration.
Assignment instructions
Read the full question
Review every instruction before using the planning guidance that follows.
Topic 4 DQ 2 May 5-9, 2022 Discuss the type of integration data from your defined patient population in Topic 4 DQ 1 would require. How could the EHR database facilitate this type of integration between clinical and administration systems
Turn the brief into deliverables
- 01The population, defined.
- 02The clinical data elements needed.
- 03The administrative data elements needed.
- 04The three conditions for a join.
- 05Standards and mechanisms, named.
- 06At least two realistic failure modes.
The data your population needs, then the EHR's role
The population and its data
Name the clinical and administrative elements the population requires.
What the assessor is likely looking for
Specific fields rather than data categories.
What a join requires
Set out identifier, coded vocabulary and time reference.
What the assessor is likely looking for
The identity problem stated as a problem.
Mechanisms and standards
Describe interface engines, exchange standards and terminologies.
What the assessor is likely looking for
Named standards mapped to the element they encode.
Where integration fails
Cover free text, variable documentation and billing-optimised coding.
What the assessor is likely looking for
A failure mode that would affect this specific project.
Governance and access
Note approval, privacy and timeline constraints.
What the assessor is likely looking for
A lead time the student would actually have to plan for.
Where interoperability standards are defined
Recommended databases
- Office of the National Coordinator for Health IT
- Centers for Medicare & Medicaid Services
- PubMed Central
- NIST
Search sequence
- 1.Read the national interoperability material for the standards vocabulary.
- 2.Find a study of EHR implementation and note the integration problems it reports.
- 3.Check which terminologies your own organisation actually uses.
- 4.Find out who approves a data extract in your setting and how long it takes.
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.
Interoperability
Office of the National Coordinator for Health Information Technology · 2024
The national account of interoperability, including standards and exchange.
Promoting Interoperability Programs
Centers for Medicare & Medicaid Services · 2025
The programme that pushed structured data capture and exchange into hospitals.
Implementing electronic health records in hospitals: a systematic literature review
BMC Health Services Research · 2014
A systematic review of EHR implementation in hospitals and the problems encountered.
The Impact of Structured and Standardized Documentation on Documentation Quality; a Multicenter, Retrospective Study
Journal of Medical Systems · 2022
Structured and standardised documentation and its effect on documentation quality.
Challenges using electronic nursing routine data for outcome analyses: A mixed methods study
PubMed Central · 2022
Challenges using electronic nursing routine data for outcome analysis — the failure modes, documented.
Review before submission
Common mistakes
- Describing integration as a benefit rather than a technical condition.
- Omitting the patient identifier problem, which is the commonest blocker.
- Naming no standards, so the vocabulary claim is unsupported.
- Ignoring free-text data, which is where the clinical detail usually sits.
Submission checklist
- Is your population specific?
- Have you listed elements from both systems?
- Are identifier, vocabulary and time all addressed?
- Have you named at least two real standards?
- Is a failure mode named that would affect your own project?
Use this guide to plan and review your own work. Follow your institution's rules and read Brinevia's academic-integrity policy.
Written by
Maren Caldwell
MSN, RN, CNE
Medical-surgical nursing, pharmacology and NCLEX preparation
Maren is a registered nurse with over 15 years of clinical and educational experience in medical-surgical nursing. She writes on NCLEX preparation, patient care fundamentals, pharmacology and evidence-based practice.

Reviewed by
Dr. Tessa Redmond
DNP, RN, CNE
Evidence-based practice and clinical education
Tessa is a doctorally-prepared nurse educator. She reviews Brinevia content for clinical accuracy and alignment with current evidence-based guidelines.