Assignment: Data Entry Question
Assignment: Data Entry Question
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The purpose of this assignment is to apply user testing to the created workflow for the identified case study need. HCI 670 Data Entry Question
Read the “Integrated Case Study” resource prior to beginning the assignment. In addition, refer to the instructor feedback you received on the Topic 5 assignment.
Write a 750-1,000 word test script that answers the following questions:
- Who would be part of the user testing?
- What are the elements to test?
- What are the steps used to perform acceptance testing, integration testing of new systems, and testing of system enhancements?
- Are there any rules involved?
- What is the action/outcome expected?
- What would the action plan be if testing does not work?
Cite at least two scholarly resources in your response.
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are required to submit this assignment to LopesWrite.
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Oncology Workflow Assessment
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Grand Canyon University: HCI-670
March 14, 2021
Workflow Assessment
Cancer treatment is a complicated process that necessitates the whole oncology team to work together to guarantee practical, expeditious, and safe patient treatment in the two clinics. Thus, standardizing the Oncology North and Oncology South facilities’ workflows is crucial to minimize miscommunication and human errors and enhance treatment quality. In this regard, consistent documentation and clear procedural instructions are essential in attaining a standardized workflow (Halvorsen et al., 2019).
Current State of Workflow
The two oncology clinics lack a consistent documentation procedure. As a result, the workflow is constantly disrupted as the oncology navigator nurses have to develop creative workarounds, including accessing data that they may not typically utilize and continuously asking other staff for per-patient process instructions. Additionally, the current workflow affects the flexibility to customize treatments since no consistent documentation and procedures outline how key steps can be conducted. Therefore, streamlining the workflow can minimize ambiguity, redundancy and simplify the principle of shared responsibility. HCI 670 Data Entry Question
Users and Opportunities
Identifying the users and their roles is a vital part of workflow improvement (Lowry et al., 2014). The future workflow involves three key users, the patient, the intake specialist, and the oncology navigator nurse. The intake specialist is responsible for documenting collected data, while the oncology navigator nurse is responsible for preparing a treatment plan based on emergency. Additionally, the new workflow creates new opportunities to reduce the patient waiting time. The intake specialist can pull the patient information from the EHR system after calling to secure an appointment. If it is a new patient, the intake specialist will create a new entry in the system, and the patient can fill in the electronic form remotely. HCI 670 Data Entry Question
Optimization
With the patient information, the oncology navigator nurse can create a customized treatment plan based on the urgency. Sub-acute and acute patients can be scheduled in a timely manner due to their treatment’s urgency. For these patients, pre-treatment processes require to be offered proper time to be carried out before the pre-scheduled starting time to avert linac sessions’ rebooks (Vieira et al, 2019). On the other hand, regular patients with different treatment combinations can be scheduled right after the phone call. Consequently, even without visiting the clinic, a therapy plan can be developed to minimize the number of steps. The optimized workflow can be achieved with integrated information technology that simplifies the process (Beaumont et al., 2018).
Effects of the Future state workflow on Patient Care
The future state workflow will improve patient care by evading unnecessarily extended clinic waiting times. Waiting times result from patients visiting the clinic and securing an appointment based on an incomplete picture concerning their treatment and condition. The future workflow is adaptive to the patient since the therapy plan is developed based on urgency and up-to-date information. In this regard, high-risk patients are offered more priority. At the same time, oncology navigator nurses will develop customized programs for moderate and low-risk patients that prevent them from becoming high risk.
Conclusion
Streamlining the workflow helps enhance overall patient care quality and department flow. By minimizing errors, omissions, and delays in the scheduling process, both oncology North and Oncology South can maximize resource utilization and improve patient satisfaction. Additionally, the workflow can assess patients’ risk profiles regularly and timely. Consequently, the future workflow frees the oncology navigator nurse from the stress and frustration produced by needless interruptions and inefficiencies. The nurses can also focus on developing an improvement plan and offering the best possible patient care.
Future State Workflow Proposal
References
Beaumont, H., Iannessi, A., Klifa, C., & Patriti, S. (2018). 548P Can we improve the cost-effectiveness of oncology clinical trials workflow? A prospective RECIST 1.1 study. Annals of Oncology, 29(suppl_9), mdy433-001.
Halvorsen, P., Gupta, N., & Rong, Y. (2019). Clinical practice workflow in Radiation Oncology should be highly standardized. Journal of applied clinical medical physics, 20(4), 6.
Lowry, S. Z., Ramaiah, M., Patterson, E. S., Brick, D., Gurses, A. P., Ozok, A., Simmons, D., & Gibbons, M. C. (2014). Integrating Electronic Health Records into Clinical Workflow: An Application of Human Factors Modeling Methods to Ambulatory Care. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care, 3(1), 170-177. https://doi.org/10.1177/2327857914031028
Vieira, B., Demirtas, D., Kamer, J. B., Hans, E. W., & Harten, W. v. (2019). Improving workflow control in radiotherapy using discrete-event simulation. BMC Medical Informatics and Decision Making.
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