Nursing Informatics Project Paper Help: Map the Workflow First, Then Show the Change Works

Key Takeaways

What Informatics Project Papers Cover

A tool is only as good as the workflow around it. Informatics papers are judged on how well they connect people, process and technology, not on how impressive the software sounds.

Common project types

Project type	Typical problem	Typical evidence of success
Workflow redesign	Steps are duplicated or out of order	Fewer steps, less time, clearer roles
Clinical decision support	A recommended action is missed at the point of care	Use of the prompt, adherence to the recommendation
Documentation template	Information is missing or hard to find	Completeness and user satisfaction
Data quality	Data are inconsistent or hard to reuse	Reduced errors, clearer definitions
Patient-facing technology	Patients cannot use a portal or remote tool easily	Uptake, usability and satisfaction
Dashboards and analytics	Leaders lack timely information	Use in decisions and accuracy of the data

Choosing a problem you can address

A good informatics problem is specific, visible in data or observation, and within reach of the people who can change the system. Before you commit, ask the following.

1. Can I describe the problem as a step in a workflow, not just as "the EHR is hard to use"?
2. Is there a person or committee who can approve and build a change?
3. Can I obtain data or observations to show the problem is real?
4. Would the change be safe to test in a limited way?

Workflow Analysis

Map the current state before you design the future state. A workflow analysis shows what really happens, who does it, with which tools and where the pain points are.

Ways to gather workflow information

Method	What it shows	Watch for
Direct observation or shadowing	What people do, in what order	Observation can change behavior
Interviews	Reasons behind steps and workarounds	People describe the ideal, not the real
Time studies	How long steps take	Needs a fair sample of shifts and days
Record or log review	What was documented, and when	Documentation is not always the same as practice

Drawing the map

1. List the steps in order, starting from the trigger and ending at the outcome.
2. Assign each step to a role in a swimlane diagram, with one lane per role.
3. Mark handoffs, waits, workarounds and rework in a different color or symbol.
4. Validate the map with the people who do the work.
5. Draw a future-state map showing what the change would alter.

Pain point	Illustrative example	Design question
Duplicate entry	The same data are typed in two places	Can one entry populate both?
Delayed information	A result is visible but not flagged	Who needs to see it, and when?
Workaround	Staff use a paper list beside the system	What does the list do that the system does not?
Unclear ownership	Nobody is sure who acts	Should the system assign a task or role?

Turning pain points into requirements

Requirements translate what users need into statements a builder can act on. A common format is: as a role, I need a function, so that a benefit. Add a way to test each one.

Pain point	Requirement statement (illustrative)	How to test it
Pending tasks are lost at handoff	As an oncoming nurse, I need pending tasks listed in the handoff view so that I can plan my shift.	Compare handoff view with a chart review for a sample of patients
Duplicate entry of one value	As a nurse, I need a value entered once to populate related fields so that I avoid repeated typing.	Observe the task and count entries
Alert ignored as irrelevant	As a nurse, I need the alert to fire only for patients meeting defined criteria so that alerts stay meaningful.	Review firing rate and override reasons

Clinical Decision Support

Good decision support follows the five rights: the right information, to the right person, in the right format, through the right channel, at the right time. If your design fails one of these, explain how you will address it.

Types of decision support

Type	Benefit	Risk to address
Interruptive alert	Draws attention to urgent issues	Alert fatigue if too frequent or low value
Passive reminder or banner	Less intrusive prompt	May be ignored
Order set	Standardizes care around evidence	Needs maintenance as evidence changes
Documentation template with prompts	Guides completeness	Can add clicks and clutter
Dashboard or worklist	Shows patients or tasks needing attention	Data must be timely and accurate

Manage alert burden

• Define who receives the alert and why they are the right person.
• Set criteria that are specific enough to avoid firing needlessly.
• Plan to review override reasons and adjust the rule.
• Link the rule to a cited recommendation; see the guideline citation guide.

Data quality dimensions

If your project touches data quality, name the dimension you mean. Different problems need different fixes.

Dimension	Question	Illustrative check
Completeness	Are required data present?	Share of records with a required field filled
Accuracy	Do the data reflect reality?	Compare a sample of entries with source observation
Timeliness	Are data available when needed?	Delay between event and documentation
Consistency	Do the same things look the same everywhere?	Variation in how a concept is coded across units

Data Standards and Interoperability

Standards are what let systems share meaning. If your project moves or compares data, name the standards involved and say what problem each one solves.

Standard or terminology	What it standardizes	Example use
HL7 FHIR	How health data are exchanged between systems	Sharing patient data with an app or another system
SNOMED CT	Clinical concepts such as findings and procedures	Coding a problem list in a consistent way
LOINC	Laboratory and clinical observations	Identifying a test or measurement across systems
RxNorm	Normalized names for medications	Comparing medication lists
ICD-10-CM	Diagnosis classification for reporting and billing	Grouping patients for analysis
Nursing terminologies	Nursing diagnoses, interventions and outcomes, for example NANDA-I, NIC, NOC and the Omaha System	Documenting nursing care in a structured way

The National Library of Medicine provides information on several of these vocabularies, including RxNorm. Note any place your project depends on a standard being implemented correctly, since mapping errors are a real risk to data quality.

Usability

Test usability with real users doing real tasks. A design that looks logical to its builder can fail in ten minutes with a nurse in a busy shift.

Common usability methods

Method	How it works	Output
Heuristic evaluation	Experts review the interface against known principles, such as Nielsen's ten usability heuristics	List of problems ranked by severity
Think-aloud testing	Users perform tasks while describing their thinking	Observed errors, confusion and suggestions
Task measures	Time, errors and completion for defined tasks	Comparable numbers before and after
System Usability Scale	A ten-item questionnaire that yields a score from 0 to 100	A summary score to compare over time or against a benchmark

Report how many users tested the design, who they were and what you changed as a result. Even a small, well-described test is more convincing than a claim that the design is intuitive.

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Writing up a usability test

A usability test write-up can be short. Give the reader enough to judge how much to trust the results.

Element	What to report
Participants	Roles, experience level, how they were recruited
Tasks	The realistic tasks users were asked to perform
Method	Think-aloud, questionnaire, timing, environment
Findings	Problems found, ranked by severity, with examples
Changes made	What you redesigned as a result

Governance, Safety and Privacy

Governance answers who decides, who tests and who is accountable. Reviewers want to know that a change to a clinical system went through proper channels.

Governance element	What to describe
Decision body	The committee or steering group that approves changes, and who sits on it
Change control	How requests are documented, prioritized, built and tested
Testing	Where the change is tested before release, and by whom
Training and support	Who is trained, how, and who helps at go-live
Downtime and rollback	What happens if the change fails
Privacy and security	Access controls and safeguards required by law and policy, such as HIPAA in the United States
Ethics	Whether patient or staff data are used, and what review applies

If your project analyzes patient data or surveys staff, see our IRB and research ethics guide. The Agency for Healthcare Research and Quality publishes material on health information technology and patient safety.

Document your design decisions

Informatics reviewers like to see why you chose one design over another. A short decision log turns your choices into evidence of judgment.

• Record the options you considered, and the reasons for the one you chose.
• Note who was consulted, such as users, analysts and clinical leaders.
• State the trade-offs, such as speed of build versus depth of decision support.
• Keep the log short and link it to the workflow map and requirements.

The Project Lifecycle

Many informatics projects follow a lifecycle from analysis to evaluation. Naming the phase you are in, and the nurse's role in each, shows that you understand how systems change.

Phase	Main activities	Nurse informaticist contribution
Analysis	Define the problem, map workflow, gather requirements	Bring clinical insight and translate it into requirements
Design	Draft screens, rules and templates	Check clinical logic and usability
Build and test	Configure the system and test scenarios	Write realistic test cases
Implementation	Train users, release, support go-live	Lead training and feedback channels
Evaluation and optimization	Measure use and outcomes, refine	Analyze data and recommend changes

Training and support at go-live

A good design fails if people do not know how to use it. Describe how users are prepared and supported.

• Short, role-specific training tied to real tasks, not a tour of every feature.
• Super users or champions on each shift who can help at the point of care.
• A simple way to report problems, and a promise to fix or explain them quickly.
• A follow-up review a few weeks after launch to catch drift and workarounds.

Privacy and security questions to answer in the paper

Question	Why reviewers ask
Who can see the new data or view?	Access should match role and need
Are any new data collected or shared?	New flows can create privacy risk
Where are data for evaluation stored, and are they de-identified?	Protects patients and staff
What happens if the system is unavailable?	Continuity of care and safety

Evaluation

Plan evaluation before launch, and use more than one lens. A system can be used heavily and still fail to help, or be liked and unused. Socio-technical models, such as Sittig and Singh's eight-dimension model, remind you to look at the technology, the people, the workflow and the organization together.

Lens	Question	Illustrative measure
Use and adoption	Are people using the change?	Rate of template or prompt use
Workflow	Did work get easier or harder?	Time per task, number of steps, staff comments
Data quality	Are data more complete and accurate?	Completeness of required fields
Usability and satisfaction	How do users experience it?	Usability scale score, brief survey
Clinical or safety outcome	Did care improve?	The process or outcome measure linked to the change
Unintended effects	Did new problems appear?	Workarounds, override reasons, complaints

For designs, statistics and honest reporting, use the outcomes evaluation guide, and cite any tools you adopt in APA 7; see the APA 7 guide.

Weak versus strong evaluation statements

Weak	Stronger
The new tool improved efficiency.	The median time for the handoff task was compared before and after implementation, and staff comments described the direction of change (report the actual figures and the sample).
Users were satisfied.	Usability questionnaire scores were summarized for the participating nurses, and the main complaint concerned screen layout (report the score and the number of respondents).
The alert reduced errors.	The rate of the target process was measured before and after; the design cannot show that the alert alone caused the change.

A Worked Illustrative Example

The example below is invented. It shows how the sections of an informatics paper connect around a nursing shift handoff report.

Section	Illustrative content
Problem	Handoff reports omit pending tasks, according to staff comments and a documentation review.
Workflow analysis	Swimlane map showing where pending tasks are recorded and where they are lost.
Design	A structured report view that pulls pending tasks, with a prompt at shift change.
Standards	Uses existing coded fields; no new terminology required.
Usability	Think-aloud sessions with a few nurses, then a short usability questionnaire.
Governance	Reviewed by the nursing informatics committee; tested in a non-production environment; training at huddles.
Evaluation	Use of the report, completeness of pending tasks, staff experience, and any new workarounds.

Change management is part of the design

Technology changes fail for human reasons more often than technical ones. Reviewers appreciate a paper that treats change management as part of the project rather than an afterthought.

• Involve end users from the analysis phase, not only at go-live.
• Explain the reason for the change in terms of patient or work benefit.
• Release in stages where possible, and gather feedback between stages.
• Report back to users about what changed because of their input.

For general theory on managing change, see our leadership and change guide.

An Illustrative Story

Common Mistakes

• Describing software features without describing the workflow.
• Designing a change before observing the current process.
• Proposing alerts without a plan to manage burden.
• Ignoring standards and assuming data will map cleanly.
• Claiming usability without testing with users.
• Leaving out governance, training and downtime plans.
• Evaluating only satisfaction, and not use or outcomes.

Common committee feedback and how to respond

Feedback	Meaning	Fix
"Show me the workflow."	No current-state analysis.	Add a swimlane map and pain point table
"Who owns this?"	Governance is unclear.	Name the committee, change control and owner
"How do you know it is usable?"	No testing.	Add a small usability test with described users
"What could go wrong?"	No safety or downtime plan.	Add risks, testing and rollback steps

Final Checklist

• The problem is described in workflow and data terms.
• Current-state and future-state maps are included and validated.
• Decision support follows the five rights and manages alert burden.
• Standards and vocabularies are named and their role explained.
• Usability testing is described, with users and results.
• Governance, privacy, training and downtime plans are covered.
• Evaluation covers use, workflow, data quality, experience and outcomes.

Frequently Asked Questions

Do I need to build the system myself?

Usually not. Most informatics projects design, test or evaluate a change made with an analyst or vendor. Describe your role clearly.

Can I write an informatics paper without access to a live system?

Often yes, if your program allows a proposal, a simulation or a case analysis. Ask your faculty what data and evidence are expected.

How many users should I test?

Small numbers can reveal many usability problems, but the right number depends on your design and your program. Describe who you tested and why.

Do I need to name a vendor?

Only if it is relevant and permitted. Keep descriptions general enough to protect confidentiality, and follow your program's guidance.

What if my project is only a proposal?

Then describe the planned workflow analysis, design, testing, governance and evaluation in enough detail that a reader could carry it out. State which data you would collect and how you would decide whether the change worked.

Systems Serve People

The best informatics papers keep returning to the people who use the system and the patients they serve. Map the workflow, choose standards carefully, test with users, govern the change and evaluate honestly, and your paper will show that you understand technology as part of care.

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