Data in the Healthcare Industry
July 22, 2022- Unlike in the past, the present technology available in the healthcare industry allows medical practitioners and healthcare administrators to collect patient data to dictate future treatments. The recent pandemic has resulted in a massive increase in the amount of health data collected and analyzed, allowing for more comprehensive and accurate analytics. With the popularity and widespread adoption of technology such as EMR, telehealth, and remote patient monitoring, the industry has a massive influx of data.?
The data sets alone are not helpful for healthcare professionals, which is where data analytics teams come in. They utilize data science methodologies and a strategic planning process to provide long-term goals for healthcare professionals.?
Data Analytics?
Before understanding the application and impact of data analytics, it is crucial to understand its definition. According to Harvard Business school, data analytics interprets quantitative data to uncover qualitative insights, answer questions, and identify trends. The four key types of data analysis they detail are as follows:?
The four data analysis types above are often performed by business strategy consulting services for Healthcare companies. Product development teams leverage strategic planning consulting services to create, gather, interpret and analyze quantitative and qualitative studies data.
Data analyst utilizes tools such as Tableau and Microsoft Power BI to visualize data. These visuals are used during the deep learning process taken by analysts to understand big data. Additionally, these visuals are used by healthcare companies to make informed decisions and dictate business decisions to gain a competitive advantage.?
Data in Healthcare ?
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As stated earlier, many emerging forms of data are available in the Healthcare industry. According to the University of Pittsburgh, some of the most prominent forms of data in this industry are as follows:?
Recent application of data analysis in Healthcare:?
Historically, consulting firms uncover key metrics from health data, improve process efficiencies, reduce time to delivery, and achieve higher accuracy and efficiency for health care professionals. Consulting companies perform an initial data and technology sweep regarding analytic and execution needs. Then, their team integrates end-to-end implementation into partners’ businesses. They also manage post-engagement support, ensuring a smooth transition for their partners and the use of cutting-edge data analytics.?
Recently, health data analytics has played a significant role in the fight against the COVID-19 outbreak. Although these data-driven insights have significantly improved patient treatment plans, many still have concerns over its real-world impact on patient privacy. Thus, there are still many obstacles to data sharing in the healthcare industry.?
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