Essay On Data Sharing

The Data Protection Act states that you must only collect information that you need for a specific purpose and keep it secure, ensure that it is relevant and up to date to guarantee that no changes in medication or health status goes unnoticed or unaccounted

Value the rights of patients to whom you will need to obtain and use their health data to collaborate in their own care with other clinicians and physicians.

Some data that might be considered sensitive is maybe if one had an illness that almost cost them their life or an injury or an accident or the death of a loved one due to illness. I do feel that this data should be shared differently. I feel like this type of data should have its own set of opt in and opt out system because this is data that could be very sensitive to a patient and should be treated with care. Although this data can be helpful in diagnosing problems or treatments, I feel that they should not be talked about casually if they are talked about, they should be spoken of with just the doctor and the patient and whomever else the patient wishes to hear the sensitive data and that is it. As long as this data is handled with care and not taken lightly, it will not be a problem.

Not protecting data integrity and when it is available - any healthcare institution should realize that it is necessary to protect healthcare data's confidentiality and that protecting the integrity and availability of the data is also important.

As a carer or healthcare provider, some of our obligations are to make sure that information is: utilized reasonably and legally, utilized for restricted, particularly expressed purposes, utilized as a part of a way that is sufficient, applicable and not unnecessary, accurate, kept for no more than is totally fundamental, handled by information insurance rights, kept protected and secure and not exchanged outside the UK without sufficient insurance (Walsh, 2011, p.88).

(ONC) is to coordinate “national efforts to implement and use the most advanced health information technology and the electronic exchange of health information … to improve health care” (Health and Human Services [HHS], n.d., website). However, sharing confidential information found in the electronic health record (EHR) for research and quality improvement potentiate legal, financial and ethical challenges.

It is essential that robust methods are used in qualitative research as maintaining confidentiality is critical. Confidentiality issues must be addressed by the researcher in relation to individual participants as well as to the sites in which the research is conducted. With regard to individual participants, researchers may need to address confidentiality by using not only pseudonyms --non-identifying names in all written records, but also to be selective when describing defining characteristics of participants which could reveal their identity (Polit & Beck

Data privacy is vital to healthcare organizations and the health information they store. Johns (YEAR) defines data security as “a collection of protection measures and practices that safeguard data, computers, and associated resources from undesired occurrences and exposures” (p. 207). To protect their information, organizations must develop a data security program to meet the needs of Health Information Portability Accountability Act (HIPAA), stakeholders, and the business’s needs. Additionally following the guidelines set by HIPAA is key to being in compliance with the law. These programs differ depending on the organizations that are required to establish them, however, they all follow the same steps in creating and implementing this program

Failure to protect subject’s personal information, is an example of not complying the above two principles in the research industry. Researchers are in a position of dealing with a great deal of very personal information that their participants have agreed to disclose. Depending on the type of study, personal identifiers such as names, birthdates, places of residence etc. may or may not have to be collected. In situations where these data are collected, researchers may take several steps to ensure the confidentiality of their participants’

According to the Chief Data Officer, all three of these units work very closely together to make sure the NHS understand what exactly what data is needed from patients while making sure the rights of said patient are respected and ‘adhere to the interlocking legal framework.’ In order for the NHS to run as successfully as it is the data and information collected by these three units are key as it gives an insight into what policies are needed in regard to data collection and how they are set up and what information client and stakeholders need.

There is a complete audit that takes place as to who is accessing the information, what information they are looking so that we can know who has been in there and what they were looking at. These standards, services, and policies will help move health care from a system where patient information is stored in paper medical records and carried from one doctor’s office to the next to a process where information is stored and shared securely and electronically. Health information will follow the patient and be available for clinical decision making as well as for uses beyond direct patient care, such as measuring quality of care.

The continuous stream of data can be turned into valuable, actionable information practice leaders can use to enhance data security and enforce compliance, improve financial health and limit liability exposure.

When dealing with privacy, the data protection act requires that the identity of all participants remains confidential. As well as safeguarding privacy there is an obvious practical benefit from this approach. Participants are unlikely to volunteer for procedures if they believe that their identity and behaviour will be divulged. There were clear breaches of confidentiality in the Milgram and Zimbardo studies as in both cases participants were secretly filmed. Guidelines require that participants are not identified unless they give their permission and various methods may be used to disguise their identity. For example in case studies patients may be identified only by their initials such as KF or HM.

“datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze,” the McKinsey researchers acknowledged that “this definition is intentionally subjective and incorporates a moving definition of how big a dataset needs to be in order to be considered big data.”

Encryption is a method of programming data for security so that it appears to be random data. Only the people sending and receiving the information have the key to decrypt the message, which will put it back into its original form making it readable. The only people with the key are the people who are intended to read the message. Not many people know what encryption is. I took a survey of twenty students and asked two questions. The first question I asked was do you know what encryption means and the second question I asked was have you ever heard of anybody using encryption. This is a chart of the information I received: