Use of big data in health care : utilization, monetization and exploitation of big data by Pharma and healthcare industry
Agrawal, Yashi (2024)
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024052716040
https://urn.fi/URN:NBN:fi:amk-2024052716040
Tiivistelmä
The future of healthcare is changing drastically with the emergence of big data integration. This thesis aimed to study how big data brings about a multi-faceted impact on healthcare, focusing on the hazards, benefits, and implementation. The empirical research highlighted the significant impact of big data on healthcare operations and patient care, as well as the unique advantages of predictive analytics, personalization, and operational optimization.
The thesis highlighted the positive aspects of change. It addressed the challenges posed by big data implementation, including resistance to change, data confidentiality concerns, interoperability issues, ethical dilemmas, and security issues. In addition, it offered holistic approaches to data, emphasizing the importance of training, promoting supportive organizational cultures, strong data governance, interoperability solutions, ethical frameworks, and cybersecurity measures to make up for these obstacles.
This research explored the main aspects of effective big data implementation. It underscored the importance of open communication, continuous improvement, collaboration, technology flexibility, patient-centricity, and proactive data security. Structured outcomes are a compass for shaping the future of big data in healthcare, and they will promote sensitive, patient-oriented, and ethically uptight healthcare. The thesis provided new and necessary information that will add to the ongoing talk about using big data well.
The thesis highlighted the positive aspects of change. It addressed the challenges posed by big data implementation, including resistance to change, data confidentiality concerns, interoperability issues, ethical dilemmas, and security issues. In addition, it offered holistic approaches to data, emphasizing the importance of training, promoting supportive organizational cultures, strong data governance, interoperability solutions, ethical frameworks, and cybersecurity measures to make up for these obstacles.
This research explored the main aspects of effective big data implementation. It underscored the importance of open communication, continuous improvement, collaboration, technology flexibility, patient-centricity, and proactive data security. Structured outcomes are a compass for shaping the future of big data in healthcare, and they will promote sensitive, patient-oriented, and ethically uptight healthcare. The thesis provided new and necessary information that will add to the ongoing talk about using big data well.