respond to post; 4 hours ago Mellissa Thompson RE: Discussion – Week 5 COLLAPSE
respond to post; 4 hours ago Mellissa Thompson RE: Discussion - Week 5 COLLAPSE Advances in technology have created ample avenues for development in data collection in health care and other industries. Health care professionals can access big data through electronic health records (EMR), smartphones, genomic sequencing, or medical devices like infusion pumps. The implementation of these technological advances has changed the health care landscape. Now health care clinicians have access to the extensive benefit of large volumes of data at their fingertips. With this access comes great responsibility and challenges, such as patient concerns regarding accessibility and privacy. Changing laws that govern easy access and confidentiality helps to mitigate these risks. Clinicians make judgments and decisions on an ongoing basis. These decisions affect patient care from information gathered from congregated data sources such as EMR (Bezemer et al.,2019, p.1). Patient data such as history and physical, lab reports, notes from different health care personnel, and medication prescribed can help create meaningful insight into a patient's disease process. The idea of just one significant benefit of big data is an understatement. It doesn't consider the multitude of benefits from big data, like cost reduction, disease prevention through research, improved patient outcomes, and a reduction in fraudulent activities. The information that big data can provide has opened doors for health professionals to make better decisions and expedite the management of disease processes with supportive data for the proper treatment and administration of medications. Using big data as part of a clinical system entails incorporating evidence-based practices and application software into usable data to increase productivity and create better patient outcomes while providing value-based care (Nejm Catalyst, 2018). With the advancement of telehealth, health care apps, and intelligent data capabilities, the risk of big data in health care is prone to security concerns such as privacy and fraudulent capabilities. Privacy is considered valuable by patients who are increasingly concerned about how organizations protect their health information. The dangers of bid data use to seclude patients from needed treatments by sources such as health insurance, identity theft, employment practices, or life insurance is highly possible (Cassel & Bindman, 2019, p. 105). Big data is a massive opportunity for organizations. Along with this opportunity comes the inherent risk of protecting data from hackers, fraud, and securing information. Although health information can come from different sources, laws must reflect the same regardless of who handles the information. The laws that govern the Health Insurance Portability and Accountability Act (HIPPA) do not cover other business parties such as life insurance, health care apps, smart devices, or google patient searches (Price& Cohen, 2019, p.5). To mitigate these challenges, I propose that the laws be revised and expanded to keep up with technological advances. If the rules are changed and broadened to entities that gather health care data, this will mitigate the use of big data for unintended purposes and protect private information. How do we accomplish this through lobbying governmental officials to enact these changes? References Bezemer, T., Groot, M. C. de, Blasse, E., Berg, M. J. ten, Kappen, T. H., Bredenoord, A. L., Solinge, W. W. van, Hoefer, I. E., Haitjema, S., de Groot, M. C., Ten Berg, M. J., & van Solinge, W. W. (2019). A Human(e) Factor in Clinical Decision Support Systems. Journal of Medical Internet Research, 21(3), N.PAG. Cassel, C., & Bindman, A. (2019). Risk, Benefit, and Fairness in a Big Data World. JAMA, 322(2), 105–106. Nejm Catalyst. (2018). Innovations in Care Delivery. Health Care Big Data and the Promise of Value-Based Care. Price, W. N., 2nd, & Cohen, I. G. (2019). Privacy in the age of medical big data. Nature Medicine, 25(1), 37–43.

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