information governance program paper

In business consideration for successful Information governance program, we have learned from "The Path to Information Value" of managers and executives say data are "extremely important" for creating competitive advantage. In addition, it is implied by the authors that, "The key, of course, is knowing which data matter, who within a company needs them, and finding ways to get that data into users' hands." Based on the healthcare company  

1) the data that matters to the executives in that industry,

2) who, within that industry, needs that data,

3) some methods for ensuring that the critical data gets into the users' hands

1. The data obtained at the point of care in the hospital, medical facility, or clinic is known as the Electronic Medical Record (EMR). This data is typically not provided outside the medical practice; it is typically an electronic version of the paper records the doctor prepares after a patient visit. The executive or in this case the doctor should know the data inside and out. The data It is required to make thoughtful and patient-centered recommendations.

2. The clinical data obtained by the Electronic Health Record (EHR) is a much broader view of the

patient and facilitates large professional collaborations such as with the National Institutes of Health (NIH), National Heart, Lung and Blood Institute (NHLBI) in the healthcare industry or even between departments in other industries such as financial institutions, government agencies, insurance companies, and Solicitors.

3. EMR is used to share critical data with the users in the health industry. It contains highly sensitive data and also needs to be shared with the users. So, blockchain provides the trustable and secure data management of EMR and provides a sharing system. Data sharing can be done using a two-factor authentication method, which includes the consent via online methods and exchanging health information. Data can be shared by using cloud services like google drive, Dropbox, etc., which provides the encryption end to end between the different parties.

Explanation:

1. Electronic Health Records include demographic and administrative information, treatment, diagnosis, demographic information, physiologic monitoring data, laboratory tests, prescription drugs, patient insurance, hospitalization, etc. (2020). This is accessed by internal staff. This data can provide meaningful insight into the clinical approach and methods that are required for different situations. Also, this information is helpful for the executive to determine how they contrast to peer organizations.

2. Over the years, health data management systems have transformed from paper to e- record, cloud computing, big data analytics, and blockchain. The types of data include medical record data, real-time data access, patient participation, data sharing, data security, patient identity privacy, and public insights. Clinical research is important to the NIH and other executives in the healthcare industry as it has a mission of improving health, lowering the burdens of disability and illness, and lengthening life. This data helps in gaining insights and provides solutions to the safety and effectiveness of other therapies. The data varies among the different institutes like NHLBI that has centralized access to many clinical trials. Ismail suggests in the requirements of Health Data Management Systems for Biomedical Care and Research that healthcare organizations need a comprehensive real-time, secure, and efficient health data management system that allows physicians, patients, and external users to input their medical and lifestyle data into the system. Incorporating big data analytics will aid in better prognosis or diagnosis of the diseases and the prediction of diseases. The prediction results will help in the development of an effective prevention plan (Ismail, 2020). As with all types of processing, insurance companies and solicitors must have a lawful basis for processing patient data. Under the Data Protection Legislation, sharing personal data is permitted for the establishment, exercise, defense of legal claims or in connection with legal proceedings, potential legal proceedings. The potential to share patient data with insurance companies and solicitors should be outlined to patients in the Privacy Policy to ensure transparency obligations are met. Insurance companies and solicitors process patient data for their own purposes (e.g., for claims handling), meaning they are data controllers (Smith, 2018). Sharing patient data with data controllers does not require a written contract to be in place between the parties to comply with the General Data Protection Regulation (GDPR) (Dumitrescu, 2018). However, only the information that is required by the insurance company or the solicitor to handle the claim or provide the advice must be shared.

3. The way that the data is shared among different users is by using the EMR method. In healthcare, a method of creating and transferring EMR data is performed between different users is basically a transaction. The group of transactions is integrated into the ledger, which represents the condition of the network. As this data is very sensitive, blockchain is used to maintain its security, which uses cryptographic primitives like digital signatures and hashing. Two-factor authentication is used for sharing the data among users, which combines "what you have" and "what you know" is more feasible. It allows sharing of data with greater security. Cloud services like google drive and dropbox help share the data among different users having end to end encryption features. It does not require the encryption of the same data while sharing it with multiple users. Also, if the user requires the relevant part then, the cloud also provides this facility.

Reference

Dumitrescu, R. (2018). Processing of personal and medical data by judicial institutions in the context of

the enforcement of Regulation EU 2016/679 – General Data Protection Regulation (GDPR). Journal of Comparative Research in Anthropology and Sociology, 9(1), 1–18.

Ismail, M. (2020). Requirements of Health Data Management Systems for Biomedical Care and Research:

Scoping Review. Journal of Medical Internet Research, 22(7), e17508–e17508. https://doi.org/10.2196/17508

Smith, A. (2018, September 6). Who Can (and Can't) Access Medical Records. The Records Company.

https://www.therecordsco.com/who-can-and-cant-access-medical-records/. 

University of Washington. (2020, December 4). Data Resources in the Health Sciences: Clinical Data.

Health Sciences Library. https://guides.lib.uw.edu/c.php?g=99209&p=642709#12209007.