HA530 Unit 3 Virtual Nurse Job Analysis Example

Nurses Who Never Touch a Patient: A Healthcare Job Analysis for a Composite Health System's New Virtual Nurse Role, Sorting Thirty-Eight Bedside Tasks Into Those That Travel Over a Camera and Those That Cannot Before Any Posting Is Written

[Student Name]

Purdue University Global

HA530: Human Resources for Health Care Managers

Unit 3 Healthcare Job Analysis

[Instructor Name]

[Date]

The system, the units and the task counts are composite and bracketed; the analysis shows the form of a job analysis and is not a staffing standard.

Why Analyze the Job First

A new role has no incumbents to observe and no history of performance. Writing a description by analogy to bedside nursing would import duties the virtual nurse cannot perform. Job analysis records the tasks a role involves and the human attributes those tasks call for, and supports every later HR decision, from selection to pay (Brannick et al., 2007).

Method

1. Task inventory: [38] tasks drawn from the medical-surgical nurse job description and two weeks of activity logs.

2. Subject matter experts: a panel of [six] bedside nurses, [two] charge nurses, a nurse educator and an informatics nurse rated each task on frequency, importance and whether it could be done by video.

3. Observation: the writer shadowed [four] shifts to see how long admission and discharge tasks take.

4. Literature: reports on admission and discharge nurse roles that relieved bedside staff of time-consuming documentation and teaching (Spiva & Johnson, 2012).

The Sort

Travels over camera ([15] tasks): admission history interviews, medication history and reconciliation interviews, discharge teaching, care plan reviews, fall and pressure injury risk screening questions, family updates, education for new nurses, documentation quality checks, rapid response early warning surveillance and others. Cannot travel ([18] tasks): physical assessment requiring touch, medication administration, wound care, intravenous starts, mobility assistance, specimen collection, responding to emergencies at the bedside and others. Split tasks ([five]): tasks such as pain reassessment, where questions travel but observation of the patient does not, and patient education requiring demonstration. The useful finding is not which tasks travel but how much bedside time they take: the [15] traveling tasks account for about [27] percent of a day nurse's shift.

From Tasks to Duties

1. Conducts admission interviews and medication histories by video within [two] hours of arrival. [30 percent]

2. Provides discharge teaching by video, confirming understanding with teach-back. [25 percent]

3. Monitors early warning scores and alerts bedside nurses to changes. [15 percent]

4. Reviews documentation for completeness and coaches new nurses. [15 percent]

5. Updates families by phone or video with patient consent. [10 percent]

6. Participates in unit huddles by video. [5 percent]

Knowledge, Skills, Abilities and Other Characteristics

Knowledge: medical-surgical nursing, discharge planning and the hospital's electronic record. Skills: interviewing on camera, teach-back, coaching. Abilities: sustained attention to several patients' data at once. Other: a current registered nurse license, at least [three] years of medical-surgical experience and comfort working without physical presence.

Physical Demands

Unlike bedside nursing, the role is largely seated, with prolonged screen use and headset work. Lifting is not an essential function. Under federal disability regulations, the essential functions identified here, rather than those of bedside nursing, would be used to judge whether an applicant with a disability is qualified (29 C.F.R. § 1630.2, 2024). The role may open nursing work to experienced nurses who can no longer meet bedside physical demands.

What the Panel Disagreed About

The panel split on medication reconciliation. Two bedside nurses argued that reconciliation requires seeing the patient's pill bottles; the informatics nurse argued that a video interview with the family holding the bottles to the camera works. The panel settled on video reconciliation for patients with family present or a pharmacy list, and bedside reconciliation otherwise. Recording the disagreement keeps the analysis honest about tasks that sit on the line.

How the Role Fits the Unit

Each virtual nurse will support [24] to [30] patients across two units, working with the charge nurse to choose which admissions and discharges to take first. The bedside nurse remains responsible for each patient's care; the virtual nurse supports specific tasks. A shared message channel and a two-minute video huddle at each shift change link the two roles.

What the Analysis Changes

The posting will not ask for lifting ability, will emphasize experience over new graduates and will place the role in a pay grade that recognizes experience. Bedside nurses' expectations will also change: they keep all hands-on care and receive help with documentation-heavy tasks.

Risks

Bedside nurses may see the role as taking away patient relationships; the panel recommended that bedside nurses keep the discharge conversation and the virtual nurse provide the detailed teaching. Technology failures could leave admissions undone; a fallback to the bedside nurse is required.

Limits

The task sort reflects one service line. Video tasks may take longer than expected until patients and staff adjust.

Conclusion

Analyzing the job before writing it showed which work travels, how much of the shift it represents and what the role demands physically, which shapes the posting, the pay grade and the expectations of bedside staff.

References

Brannick, M. T., Levine, E. L., & Morgeson, F. P. (2007). Job and work analysis: Methods, research, and applications for human resource management (2nd ed.). Sage.

29 C.F.R. § 1630.2 (2024). https://www.ecfr.gov/current/title-29/section-1630.2

Spiva, L., & Johnson, D. (2012). Improving nursing satisfaction and quality through the creation of admission and discharge nurse team. Journal of Nursing Care Quality, 27(1), 89-93. https://doi.org/10.1097/NCQ.0b013e318227d645