Data-Driven Decision Making in Healthcare

This assignment explores the role of data-driven decision making in healthcare leadership. It highlights a vision for utilizing data to optimize throughput and workforce, illustrated by an example of redesigning an emergency room based on data analysis. The challenges discussed include data quality, access issues, lack of skilled analysts, employee understanding, and the continuous need for data analysis to inform decisions effectively.

Running head: LEADERSHIP IN HEALTHCARE
Leadership in Healthcare
Name of the Student:
Name of the University:
Author’s Note:

1LEADERSHIP IN HEALTHCARE
Vision: As a healthcare leader, the vision in support of data-driven decision-making includes
managing throughput and workforce optimization.
Example:
After evaluating the data from the healthcare organization, the decision was made to
redesign the emergency room of the future by optimizing the physical layout of the room. After
considering the data-driven by the healthcare, it has been seen that the emergency room needs to
be redesigned for convenience and comfort of the patients. The doctors, nurses and the staffs will
be provided with data ID badges that will make it easier to monitor the physical and digital world
of the emergency room.
The challenges in supporting data-driven decision-making include:
 The quality of data that is considered for decision-making. Though technology is used to
disparate and manage large data, accessing the large data is sometimes an issue. This is
because accessing the data from the cloud is a major challenge for the healthcare
organization due to which the quality is hampered (Raghupathi & Raghupathi, 2014).
 Another issue with making data-driven decision-making is that people with exceptional
data analytics expertise are difficult to find. The healthcare organization is facing extreme
challenges to find the right person for analysing the data for improved decision-making
(Groves et al., 2016).
 The analysis of data needs to be a continuous process that needs to influence the
decision-making. However, analysing the data in the healthcare sector are often
hampered due to lack of experienced and skillful employees thereby, deriving
inappropriate data that hampers the decision-making.

2LEADERSHIP IN HEALTHCARE
 Additionally, data-driven decision-making is challenging, as the employees might not be
able to understand and interpret the data for correct decision-making.

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References
Groves, P., Kayyali, B., Knott, D., & Kuiken, S. V. (2016). The'big data'revolution in healthcare:
Accelerating value and innovation.
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and
potential. Health information science and systems, 2(1), 3.