Introduction
Bupa is one of leading United Kingdom private healthcare specialists. They provide private health clinics, insurance, and home care through experts you may trust upon. Bupa has got over 80000 workers around the universe to enhance their service delivery. They provide private medical healthcare and clients have the option to choose where to get treatment from our best facilities and professionals medical worldwide. Bupa ensures that everyone gets access to healthcare through offering a broad range of products and services. In many years Bupa has been devising how data may support its mission and influence the health of their clients positively. Although, they have an excellent data resources with no real incentive to people since the data does not benefit the general public and their patients. The first step Bupa took was to create big data projects that directly yielded benefits to public and patients.
Big data was discerning issue to data science group of Bupa until when the team delivered big data projects which enhanced performance to their patients (Isson & Harriott, 2016). They were able to contrast health care outcomes across various facilities and physicians around the universe. This assisted them to formulate better decisions on how and where patients must be treated. It also improved their perception of performance and cost of medical supplies, to enhance value in patients and make sure that patients' treatments are flourishing (Isson & Harriott, 2016). For instance, a current big data project in Bupa nursing staff for homes care services are working through data science group to enhance care in elderly patients who have dementia.
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A nurse in one of their home care observed that patients who have advanced dementia frequently shows repeated behaviors, for example, closing and opening windows and this required staff intervention to enhance their conditions. The HR managers had to work with the nursing group, and they created a solution which uses pattern recognition and under-floor pressure software to produce big data (Isson & Harriott, 2016). The data may be analyzed to note repeated behaviors and ensure patients get assisted for their need. This software facilitated analytic of data to get desired information and come up with expected outcomes.
Big Data Application and Transformation
Bupa has incorporated significant data in their service to enhance patients' treatment. This incorporation used by Bupa allows customers to use the internet, websites, and social media services to create networks that allow sharing of photos, opinions, views, information and other network media public, individuals or patients doctors presenting unique opportunities and challenges to health care unit(Kirkpatrick, 2013). Bupa firm seeks to incorporate social media into healthcare services in identifying clients and present proper service required whether through consultation or treatment.
Bupa has incorporated the big data in COPD service for persons suffering from a lung condition. The service has improved medical results in also aspects. Nurses use tablets to key in patient data and results in a clinical database grade than writing notes (Kirkpatrick, 2013). Through data analysis on patients breathing and capabilities, they can consider suitable exercise that is beneficial to the patient. Application of accurate data was generated through the process of designing effective outcomes for rehabilitation course. The application helped patients in the reduction of oxygen demand by an average of 1.5 liters daily.
Bupa’s initiative of big data enables working group, online community to identify patient needs, and issues first in applying the value of technology and data. The firm boasts that big data application network makes healthcare system better and accurate thus promoting happy lives, good health, and longer lives in patients.
In the transformation of data in Bupa firm, they mainly base on patients and healthcare trust and confidentiality to enable them to make best decisions. The company requires their personal information applied to the patient to be protected thus generating patient consent (Kirkpatrick, 2013). The company has provided an initiative of big data where they explain how the information obtained will assist them in overcoming their health conditions. This enables patients in the provision of their personal information that is applied to the big data for the positive outcome of their health.
Data Collection application about HR Management
Bupa technology infrastructure and centralized governance framework will enable them to outline the required components in supporting value-propelled decisions (Isson & Harriot, 2016). By applying the best model practice in big data, the information capability map will enable the healthcare team in demonstrating its potential. This generation will be witnessed among high-rank managers, regulators, market observers, patients, and stakeholders.
Bupa healthcare plans to apply data from HR information system in asking more strategic and complex HR questions for metrics concerns in the provision of robust tools for analysis in assisting managers in the delivery of tough choices (Isson & Harriot, 2016). This will empower employees in controlling their data through HR website and assign basic HR transactions to nurses. The technology will enhance data timeliness, easy navigation and fast communication and service provision.
Conclusion
Provision of accessible, new data is an opportunity to the interesting analysis in the big data market. For Bupa to apply, it has to analyze casual data models in testing and provision of actionable insights for performance improvement in the health sector. When the patients' measures and healthcare outcomes are correlated in statistics, causal models require ruling and consideration before applying any action. This will prove significant data movement of HR ahead as per the mission of Bupa Company.
References
Isson, J. P., & Harriott, J. S. (2016). People analytics in the era of big data: Changing the way you attract, acquire, develop, and retain talent . Hoboken, NJ: John Wiley & Sons, Inc.
Kirkpatrick, R. (2013). Big Data for Development. Big Data , 1 (1), 3-4. doi:10.1089/big.2012.1502
