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Research (web and peer-reviewed literature) and present

Research (web and peer-reviewed literature) and present

Sample Answer 

Research (web and peer-reviewed literature) and present

Healthcare Data

Introduction

Healthcare data has a lot of impacts on the quality of medical care delivered. Therefore, a healthcare facility’s care delivery system needs to ensure that healthcare data is accurately collected and safely kept. This follows the adverse effects of data problems on healthcare delivery and operations. The purpose of this paper is to elaborate on the effects of data quality problems on care delivery and operation. This essay will discuss the various effects of data quality problems and how these problems can be overcome.

Effects of data problems on healthcare delivery and operations

Data quality problems can result in poor healthcare decisions. Healthcare decisions remain one of the most crucial elements in the delivery process. When the available data is not accurate, the healthcare delivery team may arrive at a conclusion and make steps which are not effective or adequate (Sitepu, 2017). Additionally, data quality problems may interfere with the safety of the patients. With incorrect or inaccurately collected data, patients risk receiving treatment that does not correspond with the disease they are suffering. This may even cause accidental poisoning of the patients in some extreme situations. Data problems also increase the cost of care delivered. This increase results from the first two problems, patient safety interference and wrong decisions, as there will be a need to correct the mistakes once it is realized.

Ways to overcome data quality problems

First, avoiding healthcare data quality problems requires the use of the right procedure for collecting medical data (Sitepu, 2017). Describing the process would help greatly in preventing data collection issues. Teaching professionals the need for accurate data can also help by urging them to be very careful with patient data. Thirdly, ensure that data is monitored and transferred in the right way to avoid mixing up and confusion of different patients’ data.

References

Sitepu, S., Sembiring, P., & Mawengkang, H. (2017). An Optimization Model for Integrate Capacity Management and Bed Allocation Planning of Hospitals. International Journal on Recent and Innovation Trends in Computing and Communication, 5(3), 169-173.

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Question 


Research (web and peer-reviewed literature) and present

Research (web and peer-reviewed literature) and present to the class the effects of data quality problems on

Research (web and peer-reviewed literature) and present

Research (web and peer-reviewed literature) and present

healthcare delivery and operations and suggest ways to overcome these problems

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