Healthcare Industry Data Discussion

Considering the big data nature of healthcare industry data, data analytics is required for the presentation and making the big data usable. Data analytics allows for improvements to patient care, faster and more accurate diagnosis, preventive measures, more personalized treatment, and more informed decision-making. At the business level, data analytics can lower costs, simplify internal operations, and more.

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Hospitals use data analysis to keep an eye on overall hospital performance and track aspects like patient progress and outcomes.

Structured sequel Language (SQL) is a programming language used to manage data held in relational databases. They are used to access, read, manipulate, and analyze the data stored in a database and generate useful insights to drive an informed decision-making process. SQL offers users fine-grained control of data being pulled, it provides a powerful way to explore data that is not filtered through a predefined data set or model (Wadsworth J. 2019).

Wadsworth J. (2019). 6 Essential Data Analyst Skills for Your Healthcare Organization. Health Catalyst. Retrieved from: https://www.healthcatalyst.com/

Sharren:

Data Analytics is the process of examining raw datasets to find trends, draw conclusions and identify the potential for

improvement.

The use of health data analytics allows for improvements to patient care, faster and more accurate diagnoses, preventive

measures, more personalized treatment and more informed decision-making. At the business level, it can lower costs, simplify

internal operations and more.

Data makes this possible. Instead of treating the symptoms with the use of data practitioners are able to identify patients at high

risk of developing chronic illnesses and help to treat an issue before it get worst.

This helps to lower costs for the practitioner, insurance company and patient as the preventive treatment may help to save off

long-term issues and expensive hospitalizations. Example is the impact we have on covid-19 pandemic. The data

that being collected is analyzed and able to understand the effects of the virus better and predict the future trends to slow down

the spread and prevent the future outbreaks (“The role of data analytics in Health Care,” 2021).

Structured Query Language (SQL). It is a programming language used for managing the data held in relational databases. A

data analyst can use SQL to access, read, manipulate, and analyze the data stored in a database and generate useful insights to

drive an informed decision-making process (“SQL techniques Data Analysis Using SQL,” 2020).

References

SQL techniques: Data Analysis Using SQL. Analytics Vidhya. (2020, July 12). Retrieved November 13, 2021, from

https://www.analyticsvidhya.com/blog/2020/07/8-sql-techniques-data-analysis-analytics-data-science/.

The role of data analytics in Health Care. School of Health and Rehabilitation Sciences Online – University of Pittsburgh. (2021,

January 13). Retrieved November 13, 2021, from https://online.shrs.pitt.edu/blog/data-analytics-in-health-care/.

Miriam:

Data analytics is the future of healthcare. The provision of modern treatment methods and techniques relies on data analytics. When implemented correctly, analytics can predict outbreaks, bolster preventive care, enhance the overall quality of care that patients receive, and lessen the costs associated with treatments. Data analytics helps hospitals save money while enhancing the lives of their patients. Healthcare analytics has a number of complexities that set it apart from other businesses. When performing analytics, for example, real-time vital signs and electronic health data are taken into account. This information can be combined with socioeconomic determinants of health data to help patients be better managed when they leave the hospital.

SQL or Structured Query Language is a critical tool for data professionals. It is undoubtedly the most important language for getting a job in the field of data analysis or data sciences.SQL is the language of databases. It facilitates retrieving specific information from databases that are further used for analysis. Even when the analysis is being done on another platform like Python or R, SQL would be needed to extract the data that you need from a company’s database.

References

Miller, L. (2020, December 31). How Data Analytics is Used in Healthcare. VIE Healthcare Consulting; VIE Health Care Consulting. https://viehealthcare.com/how-data-analytics-is-used-in-healthcare/

What is SQL & How Does It Work? A Guide to Structured Query Language. (2021, October 6). Springboard Blog. https://www.springboard.com/blog/data-analytics/what-is-sql/