Analytical Skills in Healthcare Leadership
When making decisions, individuals utilize their access to information to make informed outcomes that yield the much-needed impact in the business environment. Managers are expected to develop guidelines that dictate the nature of approaches that people can adopt to overcome underlying and emerging issues in their surroundings (Pasarakonda et al., 2020). Competent health managers use their analytical skills to predict the future and enable the organization to benefit from their leadership, which engages different stakeholders. For this reason, analytical skills play a critical role in health management because of its ability to influence outcomes and respond to the various issues affecting firm performance.
Potential Barriers to Data Analytics in Healthcare
While data analytics has had a significant impact in healthcare, concerns have emerged regarding the incoherent nature of information when using it to solve patient problems. For example, many patients encounter the challenging nature of Electronic Health Records (EHR) system, which disregards their symptoms that are visible to the health practitioner. Capturing, cleaning, and storing data are some of the potential barriers hindering health organizations from accessing the benefits of data analytics in the health context (Chen, Lin, & Wu, 2020). However, the cost aspect of overseeing the analytical process and reporting the feedback is one of the primary challenges faced health facilities.
The Role of Hadoop in Generating Concise, Precise, and Scalable Data
Unlike other digital health architectural systems, Hadoop can handle large data sets without exposing the health practitioner to any challenges because of its focus in responding to the different patient cases. It oversees this challenging task by utilizing simple programming models that can be executed by anyone in the workplace. However, its design is made in a way that allows Hadoop to a single server to many machines, addressing the potential barriers that hinder efficiency in the workplace such as computation and storage.
