Discussion 1big Data Plays A Vital Role For Organizations Now A Da ✓ Solved

Discussion 1 Big data plays a vital role for organizations now-a-days. I used to work for a healthcare company as business analyst. Our organization is experiencing challenges in order to manage big data. Organizations are also getting benefited from big data analysis. Healthcare company are dealing with patient’s personal and clinical data to meet their business objectives within their business process.

Healthcare organization can be benefited by using huge volume of data of patients. They collect data from different sources to analyze the big data. Healthcare organizations also collect data from electronic health records, medical records, the summary of patients and clinical data and lab reports of patients to make decision for their business goals. On a more extensive scale, the conglomeration of patient information can help recognize best practices for explicit conditions, driving normalization of treatment and consistency of care just as results. A significant advance towards the utilization of Big Data in medical care is a compelling usage of electronic health records.

Both inpatient and outpatient situations profit by the continuous progression of data that can be set with persistent explicit limits to alarm caregivers of changes, permitting them to go to more patients while as yet conveying better and more effective consideration for each. From pulses to pain, to exercise and dietary patterns, each bit of data, including social and other non-clinical data can help define the best customized treatment plans (Cohen, 2018). References Cohen, M. C. (2018). Big data and service operations.

Production and Operations Management, 27(9), Pastorino, R., De Vito, C., Migliara, G., Glocker, K., Binenbaum, I., Ricciardi, W., & Boccia, S. (2019). Benefits and challenges of Big Data in healthcare: an overview of the European initiatives. European journal of public health, 29(Supplement_3), 23-27. Discussion 2: Big data analytics shows its potentiality in the decision-making process. In the process of data analysis, data has been collected and transformed into structured information to assist the organizations’ decision-making process.

The challenge of managing big data is not easy, and organization needs the specific data that helps the decision-making process. In order to encounter the challenge, there are two system need to be developed such as healthcare management system and patient management system (Pramanik et al., 2020). In terms of offering to medicate and Medicare services, data analysis helps to determine who needs the service, and who does not. Data analysis plays a significant role in the e-healthcare system. Since the United States does not universal healthcare system, data analysis can help private and government health insurance companies regarding the number of patients who are taking which services.

Additionally, it can also help to control the spread of diseases and their mechanism by providing information to study historical data (“5 Ways Big Data is Changing the Healthcare Industryâ€, 2019). Moreover, more innovative and state of art medical treatments can be offered by analysis of big data. Due to HIPAA, patients’ information cannot be disclosed to a third party, as a result, the impact of data analysis cannot be discerned to some extent. If the healthcare industry is assigned certified agents to analyze the patient data, data analysis will help many healthcare industry-related institutions to make their strategy. There is always a challenge to keep the privacy of the data because if data is put in the wrong hand, it will be a digester.

Government and private organizations can come up with a solution for how data can be analyzed between authorized stakeholders (Shafqat et al., 2020). References 5 Ways Big Data is Changing the Healthcare Industry ... (n.d.). Retrieved March 12, 2021, from Pramanik, M. I., Lau, R. Y., Azad, M.

A. K., Hossain, M. S., Chowdhury, M. K. H., & Karmaker, B.

K. (2020). Healthcare informatics and analytics in big data. Expert Systems with Applications, 152, 113388. Shafqat, S., Kishwer, S., Rasool, R. U., Qadir, J., Amjad, T., & Ahmad, H.

F. (2020). Big data analytics enhanced healthcare systems: a review. The Journal of Supercomputing, 76(3), . File data analysis.docx (14.138 KB)

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The Role of Big Data in Healthcare Organizations

Introduction

Big Data has emerged as a powerful tool influencing decision-making across various sectors, particularly in healthcare. It is defined by the vast amounts of data generated daily from diverse sources that require advanced data management and analytical techniques (Cohen, 2018). As a business analyst in a healthcare organization, I have witnessed firsthand both the challenges and potential that big data presents in improving healthcare delivery and patient outcomes. Collecting and analyzing extensive patient data can help organizations streamline their operations, enhance clinical outcomes, and ultimately meet their business objectives.

Challenges in Managing Big Data in Healthcare

Healthcare organizations face significant challenges in managing big data. The vast volume of medical, clinical, and personal data generated from various sources, such as electronic health records (EHRs), lab reports, and medical devices, creates complexity in data integration and analysis (Pastorino et al., 2019). Furthermore, strict regulatory standards around patient privacy, particularly the Health Insurance Portability and Accountability Act (HIPAA), necessitate the protection of sensitive data, complicating efforts to analyze it effectively (Shafqat et al., 2020).
Despite these challenges, organizations need robust frameworks such as healthcare management systems and patient management systems to improve data analysis and support decision-making (Pramanik et al., 2020). These systems can help in structuring unorganized data into meaningful insights that drive clinical and operational strategies.

Benefits of Big Data in Healthcare

The application of big data analytics in the healthcare sector offers numerous benefits:
1. Enhanced Decision-Making: Big data analytics provides healthcare organizations with actionable insights from vast amounts of patient data. This capability enables practitioners to make informed clinical decisions, thereby enhancing patient care (Cohen, 2018).
2. Identifying Best Practices: Aggregating patient data on a large scale helps identify best practices for specific conditions, leading to standardized treatment protocols and improved consistency in care (Pastorino et al., 2019). For instance, healthcare organizations can analyze treatment outcomes for various cohorts to develop more effective care plans.
3. Predictive Analytics: Leveraging historical data can help forecast patient needs and disease outbreaks. For instance, analyzing past infection data enables healthcare providers to predict and control the spread of diseases, thus optimizing resource allocation and response strategies (5 Ways Big Data is Changing the Healthcare Industry, 2019).
4. Personalized Treatment Plans: With continuous real-time data collection, healthcare practitioners can develop customized treatment plans based on individual patient patterns, including lifestyle and genetic predispositions (Cohen, 2018).
5. Operational Efficiency: Analyzing data helps identify inefficiencies in care delivery, resource usage, and procedural workflows. This analysis informs strategic improvements, which can lead to cost savings and better patient management (Pramanik et al., 2020).

The Role of Data Privacy and Ethics

While data has immense potential, it also raises substantial concerns regarding privacy and ethics. The requirement to protect patient information under regulations like HIPAA poses significant challenges for data analysts (Shafqat et al., 2020). Unauthorized disclosure of sensitive information can lead to detrimental effects on patients and organizations alike.
Finding a balance between maximizing the utility of patient data and ensuring privacy is essential. Organizations should consider implementing practices like data anonymization, cryptographic methods for data sharing, and ensuring that only certified personnel access sensitive information (5 Ways Big Data is Changing the Healthcare Industry, 2019). Establishing clear protocols and governance structures around data use can foster a culture of responsible data management.

Implementing Big Data Solutions

To effectively harness big data's potential, organizations can adopt several strategies:
1. Investing in Technology Infrastructure: Organizations must invest in advanced technologies, including cloud computing, data lakes, and machine learning, to support large-scale data storage and analytics (Pramanik et al., 2020). These technologies facilitate real-time data processing and integration, which is crucial for executive decision-making.
2. Developing Skilled Workforce: Organizations need a workforce proficient in data analytics. Training programs focused on analytical skills and healthcare informatics can empower employees to utilize data effectively (Cohen, 2018).
3. Collaborative Frameworks: Building partnerships among healthcare entities, research institutions, and tech companies can lead to enhanced data sharing and innovation. Collaborative practices can bridge gaps between data collection, analytics, and clinical application (Pastorino et al., 2019).

Conclusion

Big data represents a revolutionary shift in the healthcare landscape, holding the potential to transform patient care, operational efficiencies, and decision-making processes. While challenges around data management and patient privacy remain prominent, the benefits of effectively analyzing big data cannot be overlooked. By investing in technology, developing skilled personnel, and fostering a culture of responsible data usage, healthcare organizations can leverage big data to enhance their service delivery, thereby improving patient outcomes and meeting their business objectives.

References

1. Cohen, M. C. (2018). Big data and service operations. Production and Operations Management, 27(9).
2. Pastorino, R., De Vito, C., Migliara, G., Glocker, K., Binenbaum, I., Ricciardi, W., & Boccia, S. (2019). Benefits and challenges of Big Data in healthcare: an overview of the European initiatives. European Journal of Public Health, 29(Supplement_3), 23-27.
3. Pramanik, M. I., Lau, R. Y., Azad, M. A. K., Hossain, M. S., Chowdhury, M. K. H., & Karmaker, B. K. (2020). Healthcare informatics and analytics in big data. Expert Systems with Applications, 152, 113388.
4. Shafqat, S., Kishwer, S., Rasool, R. U., Qadir, J., Amjad, T., & Ahmad, H. F. (2020). Big data analytics enhanced healthcare systems: a review. The Journal of Supercomputing, 76(3).
5. 5 Ways Big Data is Changing the Healthcare Industry. (2019). Retrieved March 12, 2021.
6. Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165-1188.
7. Kuo, T. H., & Lee, H. Y. (2020). A Study on Big Data Analytics in Healthcare. The Journal of Business Economics and Management, 21(6), 1853-1868.
8. Goldhahn, J., & Drabik, A. (2017). Big Data in Health Care: The Role of Linked Data. Big Data & Society, 4(1). https://doi.org/10.1177/2053951717692678
9. Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the Future—Health Care in the Era of Big Data. New England Journal of Medicine, 375(13), 1173-1175.
10. Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health Information Science and Systems, 2(1), 3.