Essay Available:
Pages:
5 pages/β1375 words
Sources:
Check Instructions
Style:
APA
Subject:
Health, Medicine, Nursing
Type:
Essay
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 21.6
Topic:
Raw Data and Data Analytics
Essay Instructions:
For the Module 2 SLP, continue with the selected healthcare organization from Module 1, and respond to the items below:
How would you explain data analytics to your leadership team? What does it mean?
What are three opportunities to use Big Data in your organization?
How can Big Data benefit your patients?
How is Big Data used to identify healthcare fraud?
Essay Sample Content Preview:
480 SLP2
Student’s Name
Institutional Affiliation
Course Name and Number
Lecturer’s Name
Assignment Due Date
Data Analytics
Data analytics refers to the science of analyzing raw data to make inferences about that information (Wang & Alexander, 2020). It is the collection and analysis of data to gain insights and support decision-making (Wang & Alexander, 2020).The techniques of data analytics can reveal trends and metrics that would be lost in big data. This information can then leverage processes to increase an organization's system (Reddy & Ramanadham, 2017). It is used to predict trends, improve outreach and manage disease transmission. This field covers a wide range of businesses and offers insight on micro and macro levels.
From primary areas like clinical data, medical costs, pharmaceuticals, and patient behavior, data analytics are used on micro and macro levels to shape operations, reduce overall costs and improve patient care (Pramanik et al., 2019). It can show progress in clinical data, diagnosis, patient care quality, and business management. When combined with data visualization tools and business intelligence suites, data analytics improve managers' operations by providing real-time information that can deliver actionable insights and support decisions (Craven & Page, 2015). For healthcare organization managers, data analytics provide administrative and financial data alongside information that can improve services, patient care efforts, and existing procedures.
Healthcare organizations can use data analytics to filter huge volumes of data for a short time to determine treatment options or solutions to various diseases (Alexandru et al., 2018). Doing so will provide accurate solutions based on the patient's history and customized solutions to patients' concerns. With data analytics, health care organizations can find it easier to gather clinical data and convert it into relevant insights that medical professionals can use to provide quality care (Craven & Page, 2015). With the transition from models of fee-for-service to value-based care, the need to enhance efficiency makes data analytics a key function of everyday operations.
The ingrained analytics and reporting solution help medical professionals improve performance through the delivery of data-based quality care; reduce wait-times; provide patients with more modified treatments and promote their experience; reduce readmission rates by comparing population health data with the personal patient data to predict at-risk patients; and improve patient satisfaction and quality care by streamlining monotonous processes associated with processing insurance, making appointments and providing referrals (Pramanik et al., 2019).
Opportunities to use Big Data
Big data presents significant opportunities for health care organizations. The three opportunities to use big data in the healthcare organization include analyzing Electronic Health Care Records, discovering a remedy for illness, and reducing healthcare costs (Alexandru et al., 2018).
Analyzing Electronic Records
Analyzing the massive electronic health record would enable a healthcare professional to understand the treatment trends, their impacts, and side...
Student’s Name
Institutional Affiliation
Course Name and Number
Lecturer’s Name
Assignment Due Date
Data Analytics
Data analytics refers to the science of analyzing raw data to make inferences about that information (Wang & Alexander, 2020). It is the collection and analysis of data to gain insights and support decision-making (Wang & Alexander, 2020).The techniques of data analytics can reveal trends and metrics that would be lost in big data. This information can then leverage processes to increase an organization's system (Reddy & Ramanadham, 2017). It is used to predict trends, improve outreach and manage disease transmission. This field covers a wide range of businesses and offers insight on micro and macro levels.
From primary areas like clinical data, medical costs, pharmaceuticals, and patient behavior, data analytics are used on micro and macro levels to shape operations, reduce overall costs and improve patient care (Pramanik et al., 2019). It can show progress in clinical data, diagnosis, patient care quality, and business management. When combined with data visualization tools and business intelligence suites, data analytics improve managers' operations by providing real-time information that can deliver actionable insights and support decisions (Craven & Page, 2015). For healthcare organization managers, data analytics provide administrative and financial data alongside information that can improve services, patient care efforts, and existing procedures.
Healthcare organizations can use data analytics to filter huge volumes of data for a short time to determine treatment options or solutions to various diseases (Alexandru et al., 2018). Doing so will provide accurate solutions based on the patient's history and customized solutions to patients' concerns. With data analytics, health care organizations can find it easier to gather clinical data and convert it into relevant insights that medical professionals can use to provide quality care (Craven & Page, 2015). With the transition from models of fee-for-service to value-based care, the need to enhance efficiency makes data analytics a key function of everyday operations.
The ingrained analytics and reporting solution help medical professionals improve performance through the delivery of data-based quality care; reduce wait-times; provide patients with more modified treatments and promote their experience; reduce readmission rates by comparing population health data with the personal patient data to predict at-risk patients; and improve patient satisfaction and quality care by streamlining monotonous processes associated with processing insurance, making appointments and providing referrals (Pramanik et al., 2019).
Opportunities to use Big Data
Big data presents significant opportunities for health care organizations. The three opportunities to use big data in the healthcare organization include analyzing Electronic Health Care Records, discovering a remedy for illness, and reducing healthcare costs (Alexandru et al., 2018).
Analyzing Electronic Records
Analyzing the massive electronic health record would enable a healthcare professional to understand the treatment trends, their impacts, and side...
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