Big Data In Healthcare Management Discussion Response

Big Data In Healthcare Management Discussion Response

 

Thank you, MaryAnn, for your discussion post.

I support that big data in organizations helps stakeholders predict future trends and occurrences accurately. Therefore, it becomes an effective tool that guides informed decision making whose primary goal is to improve quality care and patient outcomes. Integration of electronic documentation has brought about the use of electronic health records in organizations that allow easy storage and management of patient data. Big data is also applied in healthcare, including predicting epidemic spread, detecting discrepancies, insurances, and pharmaceutical development (SA, 2018). Additionally, electronic documentation has facilitated the easy sharing of patient information among healthcare professionals. Data sharing ensures that professionals focus on providing patient-centered care that helps improve quality and safe care (Hulsen, 2020). Therefore, patient information privacy, confidentiality, and integrity during data transfer must never be compromised Big Data In Healthcare Management Discussion Response.

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The significant risks associated with big data transfer are data privacy and security. The effects include increased risk to patient health and damage to the organization’s reputation. Organizations must therefore implement different solutions to help prevent data breaches. The intervention might take a technical or administrative approach. The technical method involves using technology to avoid accessing patient information by outsiders. This might include the installation of antivirus software, firewalls, and cryptography. Administrative strategies include managerial permits to access patient information and conducting system audits to track who, how, when, and what patient information was accessed during a particular period (Dash et al., 2019). The Health Insurance Portability and Accountability law (HIPAA), in collaboration with HITECH, safeguards and protect patient information by providing national standards and guidelines that organizations must comply with when integrating electronic documentation. Complying with the standards reduces the risk of data breaches on patient information, which consequently impacts healthcare outcomes.

 

Discussion – Big Data Risk and Rewards/ MSN Class

Organizational transformation is fueled by data, thus spurring innovations. To provide the finest healthcare services to its customers, a healthcare company must access a wide range of information. A healthcare system’s use of digital technology and interactions with healthcare stakeholders and healthcare systems generates a large volume of data, which is then referred to as big data (Wang et al., 2018). Healthcare providers may benefit greatly from leveraging big data to make accurate predictions about future trends and occurrences, which can be used as the foundation for evidence-based treatments (Wang et al., 2018). For instance, big data may assist a company in predicting future trends in the prevalence of lifestyle illnesses within a certain demographic group.

Companies have begun gathering and documenting data on every part of the care continuum as they get more accustomed to using electronic documentation. This results in data systems becoming overloaded with massive amounts of unmanageable data. In this regard, big data’s most demanding domain is patient data accessibility in terms of interoperability, intellectual rights, and privacy. The HIPAA statute protects patients’ privacy by limiting access to their medical records. As a result, healthcare professionals are often hesitant to capture and share patient health information efficiently for fear of violating privacy policies. Perlin (2016) defines interoperability as the capacity of healthcare information systems to transmit critical data between organizations in a manner that is intelligible to the end-user. Many organizations’ capacity to communicate with one another is now hampered (Ramadas, 2018).

Accessibility issues posed by massive data sharing necessitate multiple techniques, which I have discovered. Encrypting sensitive data and maintaining professional integrity are two of the most critical security processes that can help providers avoid compromising patient privacy when transmitting large amounts of data. Upgrades to health care institutions’ pre-existing information systems will make it easier for physicians and facilities to communicate patient data.

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References

Dash, S., Shakyawar, S., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis and future prospects. Journal Of Big Data, 6(1). https://doi.org/10.1186/s40537-019-0217-0

Hulsen, T. (2020). Sharing Is Caring—Data Sharing Initiatives in Healthcare. International Journal Of Environmental Research And Public Health, 17(9), 3046. https://doi.org/10.3390/ijerph17093046

SA, S. (2018). Big Data in Healthcare Management: A Review of Literature. American Journal Of Theoretical And Applied Business, 4(2), 57. https://doi.org/10.11648/j.ajtab.20180402.14 Big Data In Healthcare Management Discussion Response