National Health Issue
The healthcare sector is affected by data security issues due to the risks of hacking and data breach. Hackers target personal information contained in Electronic Health Records. They use the data is used to access bank accounts, homes or businesses of patients (Archenaa & Anita, 2015). Patients are thus vulnerable when their data is leaked to people with wrong motives. Healthcare companies also destroy their reputation if they do not protect the data against hacking (Wang, Kung & Byrd, 2018). Companies are thus investing in data security systems to prevent cyberattacks that can compromise their operations and lower the quality of service delivery.
The healthcare issue may affect the work settings since it compromises the integrity of the data. Informaticists thus do not rely on quality data once it has been infiltrated by the hackers. The loss of crucial data means that the management cannot make informed choices (Archenaa & Anita, 2015). Additionally, patients are vulnerable to attacks that can lead to loss of money in their bank accounts. The loss of data also interferes with the efficiency of sharing data among healthcare providers (Wang, Kung & Byrd, 2018). For example, nurses can hardly share notes with the laboratory technicians, surgeons or pharmacists when a cyberattack occurs.
The work setting has responded by creating a two-step verification system to prevent hackers from accessing the data. For example, one of the crucial changes that have been adopted includes the use of fingerprints locks to access the systems. The servers are stored in a secluded room that is only accessed by specific people in the information technology department (Wang, Kung & Byrd, 2018). All the systems are also protected using strong firewalls that are frequently updated. The strategies are used to ensure the data is secure to promote efficiency of operations and reputation of the healthcare facility.
References
Archenaa, J., & Anita, E. M. (2015). A survey of big data analytics in healthcare and government. Procedia Computer Science, 50, 408-413.
Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, 3-13.
