The quality of healthcare is determined on the patient receiving the best care, but also care that is cost effective and time efficient. An activity in healthcare that is value-added is one that improves and makes a change to processes, on the other hand non-value activities are ones that add cost and promote no change. In an article it was discussed that most healthcare organizations focus on improving value-added activities, while it is more important to fix and improve the non-value-added activities, to cut wasteful and cost ineffective activities. Analytics in healthcare can generate insight in a few ways, including providing more information on previous technologies and the organizations performance. When analytics is used in healthcare it can lead to improvement on future and existing goals, in turn promoting the quality of care all around. The predictive analytics model focuses on the future and developing evidence-based planning to prepare for future healthcare scenarios and decisions. This model uses an extensive amount of data that is contained using healthcare tools that providers must utilize. This can create an ethical issue leading to provider overload by adding on to their already heavy workload to use these healthcare tools, which can lead to providers not being able to perform to their best ability and patients may suffer the consequences of this burnout.

References

Langer. F, Renaud. J. Lean Sigma principles: A New Approach to Healthcare Cost Reduction. Healthcare Finance News. https://www.healthcarefinancenews.com/news/lean-sigma-principles-new-approach-healthcare-cost-reduction. Accessed June 11, 2021.

Strome, T. L. (2013). Healthcare analytics for quality and performance improvement. Hoboken, NJ: John Wiley and Sons.

According to the textbook, Healthcare quality is “monitoring measures that assist in the decision-making process. Healthcare information systems are one technology with the potential to transform healthcare with its many capabilities. It can deliver good evidence to the point of care, can help in intelligent algorithms to reduce and prevent mistakes in the medical field, and help in collecting detailed information for patients at the time of their encounter” (Strome).

Value-added activity in healthcare is referred to as any work activity that contributes in a meaningful way to the patient’s care provision or information about that care in general. This usually adds cost but pays off in the long run.

Data analytics can help “derive insights on systemic wastes of resources, can track individual practitioner performance, and can even track the health of populations and identify people at risk for chronic diseases.”

Ethical issues have a significant impact on patient care outcomes. Patient experience is a fundamental problem and can significantly affect the patient’s health overall. If a patient feels like their care was not the best, they might look elsewhere and not go back. If the patient feels like their care was superior, they will undoubtedly go back and tell their friends and family about the excellent care they received during their visit.

Strome, T. L. (2013). Healthcare analytics for quality and performance improvement. Wiley.

University of Illinois at Chicago. (2020, July 13). How Health Care Analytics Improves Patient Care. UIC Online Health Informatics. https://healthinformatics.uic.edu/blog/how-health-care-analytics-improves-patient-care/#:%7E:text=In%20the%20context%20of%20the,at%20risk%20for%20chronic%20diseases.