Patient Classification Systems Discussion

Patient Classification Systems Discussion Patient Classification Systems Discussion please reply to the following two post 100 words one reference each #1 Stephanie Mortimer-Wallace Patient classification systems which is also known as patient acuity system is considered a method for grouping patients according to the amount and complexity of their nursing care needs such as their reliance on caregivers or it is to decide patient acuity (Dunham-Taylor & Pinczuk, 2015). This system was developed to objectively assist nurse leaders in determining the workload for nurses staffing needs, and work hours. In addition to helping organizations better manage their bottom line in a risk-based reimbursement environment; a patient classification system makes it easier for hospitals to comply with nurse-to-patient ratio regulations. Patient Classification Systems Discussion Organizations are constantly improving on EHR technology to reduce cost and improve care quality, safety, and outcomes however; healthcare providers can also achieve these goals by influencing the use of patient classification software to manage nursing staff more effectively (Flo et al., 2019). When this software’s are used together or incorporated into the EHR, these combined resources give organizations extra tools to realize even greater clinical and financial benefits. As patients are becoming more and sicker and hospitals are admitting at an alarming rate, and nurse’s budgets being cut, nurses and others are increasingly urging lawmakers to pass laws to ensure sufficient staffing is available to meet the needs of patients as they admitted to hospital. The patient acuity tool is a tool that uses both clinical patient characteristics and workload indicators to score a patient from 1 to 4 based on their acuity level (Ingram & Powell, 2018). This method also gives nurses leverage to score their patients, then report to the nurse in charge so that the assignments for nurses on the oncoming shift can be irrefutable and impartial (Ingram & Powell, 2018). The level of patient safety risk can also be realized through the utilization of this tool. This tool would also help to enhance nurse’s satisfaction with patient assignment and amplify nurse’s awareness of patient safety by assigning patients with high acuity scores equally (Fenton & Carey, 2015). References Dunham-Taylor, J., & Pinczuk, J. Z. (2015). Financial management for nurse managers: merging the heart with the dollar . Burlington, MA: Jones & Bartlett Learning. Fenton, K., & Casey, A. (2015) A tool to calculate safe nurse staffing levels. Nursing Times ; 111: 3, 12-14. Flo, J., Landmark, B., Tønnessen, S., & Fagerström, L. (2019). Patient classification systems used to classify nursing intensity and assess nursing staffing resources in home health care: A scoping review. International journal of nursing studies , 99 , 103361. https://doi.org/10.1016/j.ijnurstu.2019.05.009 Ingram, A., & Powell, J., (2018) Patient Acuity Tool on a Medical-Surgical Unit Retrieved 6/262020 from https://www.myamericannurse.com/patient-acuity-medical-surgical-unit/ #2 Shannon Del Orbe Been Patient classification systems (PCS), also known as patient acuity systems, are used to assist a nurse leader to determine workload requirements and staffing needs. Some leaders and staff use the PCS to increase staffing, others to decrease staffing hours. The reality is the data produced by a PCS are patient care needs translated into hours of care; these then are compared with available staff hours (Allegra, Anca, & Ruff, 2019). Increasing and decreasing staff hours is a management function based on data from patient needs, nurse hours, and available budget resources. Patient-to-nurse ratios identify the minimum staffing levels, whereas patient classification systems define the amount of staff needed for a particular situation. Patient Classification Systems Discussion Ratio staffing levels are data derived from a valid and reliable PCS and from knowing the range of patient care needs. Ratio data are best used in the aggregate for budgeting and scheduling, not for day-to-day staffing. The effective use of a PCS in a way that provides value to all health care organizations has yet to be realized given the challenging developmental pathway of these systems (Allegra, Anca, & Ruff, 2019). As the science and technology of workforce management emerges along with evidence to support the relationships between nurse work and patient care needs, it is no longer appropriate to rely on systems that provide aggregated and minimal data to address the need for safer patient care and retention of nurses. Specificity about patient care needs in a valid and reliable PCS is essential on our pathway to improved resource utilization, improved decision making, integration of nurse cognitive and knowledge work, and management of variances from planned resource use. The patient acuity tool has been implemented by healthcare organizations to addresses the important issue of unbalanced nurse-patient assignments and helps nurses influence decision-making in their organizations. Given the original concern by staff that assignments were unequal, one of the strengths of this acuity tool is that it allows nurses to become stakeholders in making patient assignments. In addition, it also gives the charge nurse an objective way to justify assignment rationale. The tool costs no money to implement and requires no special technology. In addition, it’s noninvasive to the unit’s workflow, easy to implement, and easily adapted to different units and their specific needs. The patient acuity tool enhances the shift-to-shift handoff report and that it can be used to assign patients based on nurse competence (Gross, Faulkner, Goodrich, & Kain, 2019). References Allegra, J., Anca, R., & Ruff, D. (2019). Development of a Patient Assignment Acuity Tool to Improve Equity in Assignments, Patient Safety, and Nurse Satisfaction in a Labor and Delivery Unit. Journal of Obstetric, Gynecologic & Neonatal Nursing, 48 (3). doi:10.1016/j.jogn.2019.04.032 Gross, J. C., Faulkner, E. A., Goodrich, S. W., & Kain, M. E. (2019). A Patient Acuity and Staffing Tool for Stroke Rehabilitation Inpatients Based on the FIM™ Instrument. 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