According to the National Library of Medicine, The four ethical issues that arise when storing electronic information, or electronic health records, are “privacy and confidentiality, security breaches, system implementation, and data inaccuracies”. The first ethical concern, privacy, is the amount of protection that a person has when their information is inserted into the system. In the context of Electronic Health Record Systems (EHRS), sensitive data including medical history, and test results needs to be secure from unauthorized access at all times. Individuals have a right to privacy with respect to their health information. The second issue that may arise is security breaches. When protecting the privacy of patients, there is a chance that cyber attackers will breach security, which can lead to identity theft and fraud. Organizations liable for EHRS have to maintain strong cybersecurity measures. The third issue is system implementation. Several implementation efforts go to waste because they “underestimate the importance of one or more clinicians to serve as opinion leaders for providers in the clinic” (NCBI). This issue raises frustration, unsatisfied patients, and safety issues. To improve, future implementations must be planned thoughtfully. The fourth, and last, ethical issue is data inaccuracies. This happens when the electronic information that is stored is inserted incorrectly, incomplete, or manipulated. This can lead to misinformation and in turn, harm the individual. When information about a patient is either incorrect or incomplete, there is a chance the individual can receive inadequate care. The healthcare provider might not be informed about their client’s medical history, which can lead to the wrong prescription. Ultimately, confusion between the patients and their providers can cause huge issues that are challenging to fix. Although there are many ethical issues that arise when storing information about individuals, these four concerns of privacy, security breaches, system implementation, and data inaccuracies are among the most common.