| Course | C790 Foundations in Nursing Informatics |
|---|---|
| Task | Task 1 |
| Paper type | Informatics e-portfolio |
| Length | About 1,100 words, 5 pages |
| Format | APA 7 |
| School | Western Governors University (WGU) |
| Program | MSN Nursing Informatics |
| Updated | September 2026 |
Free sample paper for C790 Task 1
Nursing Informatics E-Portfolio: The Informatics Nurse Specialist's Role in Moving Suicide Risk Screening From Paper to Structured Documentation at a Rural Hospital
Student Name
Leavitt School of Health, Western Governors University
C790: Foundations in Nursing Informatics, Task 1
Course Instructor
Month Day, Year
Nursing Informatics E-Portfolio: The Informatics Nurse Specialist's Role in Moving Suicide Risk Screening From Paper to Structured Documentation at a Rural Hospital
The Setting and the Informatics Problem
The setting is a composite 110-bed hospital that serves a rural county of about 60,000 people, with a 14-bed emergency department (ED), two medical-surgical floors and a small intensive care unit. The hospital screens ED patients who present with behavioral health complaints for suicide risk, as the accreditor's suicide prevention safety goal requires (The Joint Commission, 2019). In practice, the screening is done on a paper Columbia Suicide Severity Rating Scale (C-SSRS) screener that is scanned into the electronic health record (EHR) as an image after the visit. Nobody can search the answers, the risk level does not trigger any orders, and inpatient nurses cannot see an ED screen without opening a scanned document. Hospital leaders have decided to extend screening to every ED patient aged 12 and older and every inpatient admission, and to build the screener into the EHR as structured data linked to decision support. The chief nursing officer has asked the informatics nurse specialist (INS) to lead the clinical side of the work.
The Role of the Informatics Nurse Specialist
The profession's scope and standards document frames nursing informatics as the specialty that combines nursing knowledge with information science and analytics, so that what nurses record can move from raw data to sound judgment (American Nurses Association [ANA], 2015). In this project the INS works in four capacities.
As translator, the INS sits between nurses, the behavioral health team and EHR analysts, turning a clinical question, such as what a nurse should do when a patient answers yes to the question about a recent suicide attempt, into requirements an analyst can build. As designer, the INS decides with frontline nurses how the screener appears, where it sits in the admission workflow and which answers are required. As educator, the INS prepares nurses in the ED and on the floors, who have never used the tool electronically. As evaluator, the INS defines what the organization will measure after go-live: how many eligible patients are screened, how quickly high-risk patients receive safety precautions and whether the alerts help or annoy.
Stakeholders include ED and floor nurses, the ED medical director, the behavioral health liaison who performs follow-up assessments, EHR analysts, the patient safety officer, security staff who carry out one-to-one observation and patients themselves, whose privacy the design must protect.
Data, Information, Knowledge and Wisdom
The data-information-knowledge-wisdom framework describes how raw facts become the basis for sound action, and it has been used in nursing informatics to explain what informatics systems contribute at each level (Matney et al., 2011). It maps directly onto the screening project.
Data are the individual answers to the screener's questions, recorded as yes or no. Information is those answers organized and interpreted: a patient who answers yes to having had thoughts of killing themselves in the past month and yes to having started to work out how is at high risk by the screener's own scoring. Knowledge is the organization's protocol connecting that risk level to action, such as continuous observation, removal of hazardous items and a behavioral health evaluation before discharge. Wisdom is the nurse's judgment when the screen and the patient do not match, for example a patient who screens low but whose affect and history worry the nurse, or a patient who screens high because of a question misunderstood through an interpreter. A paper image stops at the data level. Structured documentation lets the system produce information automatically and prompt the knowledge the organization has agreed on, while leaving wisdom to the nurse.
Standardized Terminology and Interoperability
If screening answers are stored as free text or as one hospital's local codes, they cannot be compared across settings or shared with the community mental health center that receives referrals. The INS will ask the analysts to map the screener questions and the resulting risk level to Logical Observation Identifiers Names and Codes (LOINC), which assigns standard codes to questionnaires and their items, and to record nursing interventions using the organization's existing standardized nursing terminology. Standard coding also allows the hospital to report screening rates to its quality program without manual chart review.
The Systems Development Life Cycle for This Project
The project will follow the systems development life cycle (SDLC), which moves a system change through planning, analysis, design, building and testing, implementation, and maintenance and evaluation. In planning, the INS confirms scope, the extension of screening to all eligible patients, and secures a project sponsor. Analysis documents the current paper workflow and the future electronic one. Design specifies the screener form, the risk scoring and the orders each risk level suggests. Building and testing include scenario testing with nurses using realistic test patients. Implementation covers education, a go-live date and at-the-elbow support. Maintenance and evaluation track screening rates and alert responses and adjust the build. Later courses in the program take several of these phases in depth.
Evidence for the Change
Universal screening in EDs is feasible and finds patients who would otherwise be missed. In a multisite study of eight EDs, documented screening rose from 26% to 84% after universal screening was introduced and improved, and detection of suicidal ideation or behavior nearly doubled, from 2.9% to 5.7% (Boudreaux et al., 2016). The C-SSRS itself has shown good validity against other measures of suicidal ideation and behavior and high sensitivity and specificity for classifying suicidal behavior in adolescent and adult samples, including adults presenting to an ED (Posner et al., 2011). Neither finding helps patients if the result is trapped in a scanned image, which is why the informatics design matters.
Reflection on the Role
I came into this course picturing informatics as the people who repair computers. Mapping one project to the framework showed me that most of the INS's work is clinical and relational: deciding with nurses what the right action is, and then making the system make that action easier than the alternative. The part I expect to find hardest is evaluation, because a screening rate is easy to count but a missed patient is not. I will use the rest of the program to build that evaluation deliberately rather than leaving it to the end.
References
American Nurses Association. (2015). Nursing informatics: Scope and standards of practice (2nd ed.). American Nurses Association.
Boudreaux, E. D., Camargo, C. A., Arias, S. A., Sullivan, A. F., Allen, M. H., Goldstein, A. B., Manton, A. P., Espinola, J. A., & Miller, I. W. (2016). Improving suicide risk screening and detection in the emergency department. American Journal of Preventive Medicine, 50(4), 445-453. https://doi.org/10.1016/j.amepre.2015.09.029
Matney, S., Brewster, P. J., Sward, K. A., Cloyes, K. G., & Staggers, N. (2011). Philosophical approaches to the nursing informatics data-information-knowledge-wisdom framework. Advances in Nursing Science, 34(1), 6-18. https://doi.org/10.1097/ANS.0b013e3182071813
Posner, K., Brown, G. K., Stanley, B., Brent, D. A., Yershova, K. V., Oquendo, M. A., Currier, G. W., Melvin, G. A., Greenhill, L., Shen, S., & Mann, J. J. (2011). The Columbia-Suicide Severity Rating Scale: Initial validity and internal consistency findings from three multisite studies with adolescents and adults. American Journal of Psychiatry, 168(12), 1266-1277. https://doi.org/10.1176/appi.ajp.2011.10111704
The Joint Commission. (2019). R3 report issue 18: National patient safety goal for suicide prevention. The Joint Commission.
What the C790 Task 1 instructions ask
The first C790 task asks you to describe what an informatics nurse specialist does and to show it through a project in a real or realistic setting. You will usually set out the setting and an informatics problem, explain the role of the informatics nurse specialist, apply a framework such as data, information, knowledge and wisdom, address standardized terminology and interoperability, relate the project to the systems development life cycle and reflect on the role. The task introduces themes that later informatics courses build on. The evaluator reads for accurate use of informatics concepts applied to the project, not definitions presented on their own.
How this C790 Task 1 example is built
The e-portfolio opens with the hospital and the specific informatics problem, a paper screener that cannot be searched or shared. The role section uses the professional scope and standards to define the specialty and then lists what the specialist would do on this project. The framework section follows one screening answer from datum to information to knowledge to a wise decision. The terminology section explains why local codes would block sharing and names the standards that allow it. The life cycle section maps project steps to phases. An evidence section supports the change, and a closing reflection describes how the writer's view of the role changed. Each section ends by returning to the screening project, so the concepts never float free of the example.
Where the C790 Task 1 rubric puts the marks
Evaluators rate each C790 Task 1 aspect competent, approaching competence or not evident. A setting and problem aspect checks that the context and informatics issue are clear. A role aspect asks for an accurate description of the informatics nurse specialist grounded in professional standards. Framework, terminology and interoperability aspects each need correct concepts applied to the project. A life cycle aspect looks for phases mapped to real tasks. A reflection aspect rewards honest insight into the role. APA citations of standards and research, and professional writing, are assessed throughout. Papers that name the standards used for sharing data, rather than saying data will be shared, tend to satisfy the interoperability aspect more easily.
C790 Task 1 help: what sends it back
The most frequent return is a paper that defines concepts without applying them. After explaining the data-information-knowledge-wisdom framework, trace one piece of your project's data through it. Second, the role is often described as technical support. Emphasize the clinical, analytical and change management work that professional standards describe. Third, interoperability is discussed abstractly; name what needs to be shared, with whom and which standard makes it possible. Fourth, the life cycle section can become a list of phase names. Attach at least one real task to each. Finally, choose a project with a clear clinical purpose, since later courses in the program often build on it.
Get a C790 Task 1 example written to your instructions
Send the Task 1 instructions and rubric aspects from your C790 course of study. We write the portfolio sections as a custom sample to those exact aspects and your project, returned in 24-48h. The first custom sample is free.
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C790 Task 1 questions, answered
What is the role of an informatics nurse specialist in C790?
To bridge nursing practice and information systems: defining clinical needs, designing and evaluating systems, managing data and leading adoption. The sample shows each through a screening project.
Can my C790 project carry into later informatics courses?
Often yes. Many students keep one project through the program. The sample's suicide screening project continues through workflow analysis, data modeling, analytics, system design and the capstone.
What framework should C790 Task 1 apply?
Most students use the DIKW model, which moves from raw data to information, knowledge and wise action. It fits nearly any project; trace one real data element through every level, as the sample does with a screening answer.
Does the C790 sample include practice experience records?
No. The sample is the written e-portfolio content only. Any practice hours, logs or preceptor documentation your program requires must come from your own experience.
Where can I find a free C790 Task 1 sample paper?
The complete e-portfolio is published above with margin notes. For one built around your own informatics project, share the C790 instructions and the first custom version is free.