Electronic Heath Information Exchange Research Assignment (Essay Sample)

Electronic Heath Information Exchange
Name
Institutional Affiliation
Date
Electronic Heath Information Exchange
The health information technology enables a secure system whereby large data regarding individual’s health is collected. Once this data is collected, it will help plan and plan future health care. Health information exchange will help empower people and enhance the ability to study about payment and care delivery systems (Ludwick & Doucette, 2009). However, today, electronic health record, telehealth, personal health records, mobile health applications, and remote monitoring technologies are underutilized. In the year 2010, there were very few acute hospitals and physician offices that took advantage of the electronic health records. In the current world, very many customers access their bank details online, while it is only seven percent who use the website to access information regarding their health.
In large hospital settings, policies need to be improved, so that procedures and different operations can run smoothly within the institution. When dealing with electronic health information, providing data security is imperative (Chaudhry et.al 2006). Some of the policies that can be put up in the institution are cloud computing. This ensures that the data that is stored is safe and cannot be compromised. Another policy for data protection that needs to be set up is remote data access which will allow data to be received remotely. There also needs to be an IT risk management plan which will help Identify the potential risks that the data is likely to encounter. This can be done by placing measures such as SSL certificates, password, firewalls, and anti-virus software that will help prevent protect the hospital and the patient's records.
Data that is stored in the hospital systems needs to be regularly monitored. Security are privacy are critical in ensuring that information in the hospitals is authentic including the audits and records. Measuring the quality of data is imperative and can be done by making sure that the data stored is complete. The elements can be improved by providing the data stored unique, and values in the information recorded only appear once. The data also needs to be valid and accurate. The data must also be available when it is needed by a patient or a physician (Gans, Kralewski, Hammons, & Dowd, 2005). Data monitoring will help ensure that data quality rules are executed, and there are also exceptions in the data quality. Data monitoring also allows appropriate notifications to be generated. Data monitoring determines which data quality rules to implement, error threshold, and the frequency.
For the set system to work efficiently, they will need to be assessed to ensure they meet the regulatory requirements. System regulatory requirements play a huge role since they are based on a synthesis of information and the identification that is required (Hesse, Moser & Rutten, 2010). The quality measure provides a basis for candidate assessment solutions, and the verifying the completed system. System requirements are displayed in the technical language that is significant for its architecture and design. One way through which the system can be assessed is by requirements traceability. This means taking a two-direction linkage between the operational requirement and the hospital's goals. Once data is corrected in the system, it should not interfere with any other information since all the data stored should be independent. Audit logs should be authentic and reliable.
The devices that are selected to run the system in this hospital need to be easy to operate for the physicians. These doctors know the needs and requirements of the patients they treat, and also know how the technology will assist each of them. Human factors can range from characteristics, attitudes, and professionalism in this case. Therefore, when selecting the best device for workflow, it is important to consider its safety and quality, when it comes to patient care. It is unfortunate that even as attempts to make health information technology better, there has been a lack of consideration on ergonomics and human factors. Mismatching human machines is a significant human error and indicates an improper interface design. It is, therefore, important to consider safety of a system, and its performance
Data warehousing can help gather information efficiently and quickly. It also helps enhance the productivity of the business. A data warehouse in this hospital will help keep track of trends and patterns over a period in a manner that is reliable and consistent. Creating an efficient and effective data warehouse, it is important to understand the hospital’s needs and construct a credible analysis framework.
Before s system is implemented, it needs to be tested by evaluating whether it complies with the requirements that are specified. Interface management needs to be conducted so that other unrelated objects such as software, data, services, systems can co-function. Interface management needs are considered especially for a new system that they can stick to the objectives. For the system to run efficiently, data relationships need to exist. This means that the programs that will be used will be consistent and of high quality.
For a database design and warehousing system to work successfully, it requires a well-laid information management plan. This plan outlines the goals, recommendations, scope, cost estimate, assumptions and risks that are necessary for the needed program governance. The hospital requires an information management plan that will consist of an information management framework that will define the activities required and the successful policy implementation. It will also need a data warehouse architecture that should focus on data integration. The third management plan is to have an information management methodology that will define activities and projects needed to improve efficiency. The fourth is...