Enterprise Information Architecture
Discuss about the EIA RA in developing a national EHR system.
There have been major issues in the healthcare system since the problems that have set to arise due to the latest adversities in the strata. These have grown with respect to the demonstration of the workers, impending threats that arise due to the risks arising as a result of unknown diseases. In addition to this, there has been heavy shortage of healthcare experts all over the world who claim to share none of their expertise for the benefit of the people living in the rural areas; rather they are more interested in serving people in the cities. These are the challenges that forced the government to invest into the amalgamation of Information and Communication Technology or ICT techniques and healthcare systems (Adenuga, Kekwaletswe and Coleman 2015). However, it had been found that the implementation had been a faulty one. Thus, began the implementation of a new set of technology, called HER or Electronic Health Record, into the business that allowed storing of the different healthcare record data and would implement it further into the invention of further newer technologies using these data as a reference (Wang, Kung and Byrd 2018). The following report would thus include the entire Enterprise Information Architecture to have a clear view about how the electronic data is saved in the healthcare business discussing about the implementation of EIA RA technology and the benefits it provide with the help of a detailed diagram. It would further include Further; it would include the Information Management and Integration System with disparate nature of entities and systems within the healthcare business, the volume of structured and unstructured data and the sensitivity of that poses challenges for data management and integration. The report would also include the challenges and the strategies to recover from these challenges.
The Enterprise architecture model is broadly classified in 4 different categories namely: –
- The orient group model
- Federal enterprise architecture model
- Department of defense architecture model
- Zachman architecture model
The EIA reference architecture is proponed with the benefits regarding the process of the enterprise architecture. The major benefit of this health centre framework is that the technology helps the framework to store the data of the patients in the data base for the future usage of the data that is being stored in the data base (America C. o. 2009). The benefits that are being enjoyed in eh curse of the project by storing the data of the patients electronically are the facts like the usage of the Enterprise Information Architecture enhance the fact of increasing the efficiency of the organization due to the increase in efficiency in storing the information in the database of the system (Viceconti, Hunter and Hose 2015). The decision making aspect of the organization also gets better due to the fact if the storing the data in their framework which acts as the reference during the time of the decision making of the organization. The usage of the Enterprise Information Architecture leads to the fact that it helps the organization to make the management strategy of the organization regarding the data that is related to the cost management of the company. The usage of the Enterprise Information Architecture has gained a control over the employee management of the company, which indirectly helps the organization to get a high turnover in the corporate sector.
Benefits Of Implementing The Electronic Health Record
Another benefit that the organization enjoys due to the fact of the introduction of the Enterprise Information Architecture is that the infrastructural system allows the fact that the technology is implemented properly and the return of investment is maintained with higher efficiency rate (Smith et al. 2015). Another man benefit of installing the Enterprise Infrastructure Architecture is that it helps the organization to gain the Infrastructural communication that acts as the function in an efficient way in order to check the communication methodology for the functioning of the organization (Birkhead, Klompas and Shah 2015). This fact ensures the fact that the transparency of the infrastructure of the communication among the employees of the organization and the communication stays efficient and the hierarchy of the employees does not create a barrier for the organization (Wager, Lee and Glaser 2017). The introduction of the Enterprise Infrastructure Information provides the security that in case the data of the system leaks the data will still be stored in the framework which might act beneficial to the organization for the further use.
The usage of Enterprise Information Architecture finds its importance in the course of gathering and providing the information about the organization. The technical strategy of Bottom up approach is used for the functioning of this technology. This application of the bottom up strategy helps the business organization in creating, using and maintaining the data in the database of the organization (Brennan 2017). The organization that is applying the Enterprise Infrastructure architecture takes into consideration of the source of the information that is being gained by the organization. This enables the fact that the source of the information acts as the reference of the authentication if the information that is being used by the organization.
The first benefit of the Electronic Health Record is that in case of the Electronic heath Record, proper return of investments is the main concern for the organization that is dealing with the issues of the organization (Sagha Zadeh, Xuan and Shepley 2016). The main purpose of Electronic health Record is that it can calculate and estimate the profit that is to be gained and the business turnover that possibly is possible for the organization is calculated by the Electronic Health Record (Crowley, Hinchliffe and McDonald 2017). The usage of the Enterprise Information architecture is that the planning of the task and the actions that is to be performed is preplanned by the organizations. This aspect ensures the fact that threats that are aiming towards the organization are dismissed and the potential threats are kept under control. The data source also helps in curing the patients of the by knowing the facts and details of the patients and the clients.
Information Management And Integration
The second aspect that acts to be beneficial for the organization as the data that are collected by the clients must be safe and the data must be protected from being lost or forms being accessed by the imposters who tend to modulate the data (White, Dudley-Brown and Terhaar 2016). The previous case study allows the fact to determine the facts that include the decisive decision making of the organization. The initial investment on the framework helps the organization to gain the goodwill of the client, which again helps the organization to flourish with a loyalty of the clients for the organization (Dinev et al. 2016). This technology not only helps the organization to gain the good will of the organization but also helps the organization to get the technology of the infrastructure efficiently placed which allows the betterment of the organization in high stature. This technology also helps the organization to maintain a database of a particular disease, which helps the organization to work efficiently.
The third benefit of EHR is that the platform of HER helps in maintain in the gathered data as the data that is gathered finds its importance in the future referencing of the data ;in the case of the medical issues that acts as the probable cause of the issues in case of the tracking of the data.
Disparate Nature Of The Data
In a healthcare management system, the nature of data taken is complex, in term of both the taxonomy of the data as well as the characteristics of the data. The system integration and the collection of data both depend on this disparate nature that forms the base of data analytics in healthcare business (Ginter 2018). All these data are collected from various resources, however; for many healthcare providers, the data are not always collected from places that are impeccable in their data governance habits. Since these data are intricate in nature, the collection and storage of this data becomes increasingly complete, clean, accurate, and prone to be formatted correctly in nature (Lacey et al. 2017). Multiple systems are used in a single healthcare institute ranging to a various different range of medical data collection. The use of multiple devices in storing these complex amounts of data is also necessary since they are disparate in nature. There possibly cannot be a single device used for the collection and integration of different data sets in the healthcare structure (Zhang et al. 2017). In addition, strategizing to use devices that have the capability of storing huge amount of data in a single go is also helpful in this regards. In one study, it has been found that in an ophthalmologic centre, the EHR data and the data produced in the patient reports were matched by 23.5 percent of the total records stored in the system (Hitz et al. 2015). EHR data was seen to not agree with the patient data at all. These problems always tend to occur, and it is seen to occur because of the disparate nature of the medical data.
It can be clearly seen that EHR system implementation has been taken in account as the latest technology of storing electronic medical and clinical data that is growing to become the big data of healthcare industry. This is because this system integrates the data stored and acquired in the system to use it further in other system integration like, finding a cure from the data that has been stored in the systems (Manogaran et al. 2017). These data can be both structured and unstructured. Structured data is considered as the patient demographic data that is collected during a lab testing of the patient. This is an organized data that is entered in a dropdown, checkbox or radio button fashion while collection of the data. Structured data is consistent and resides in pre-defined fields within the record. On the other hand, unstructured data is mostly unorganized in nature. It has ambiguity and irregularity. These data are mostly considered as text-heavy in nature.
The studies have found that mostly all the data, almost 95 percent of it, available over the healthcare system is unstructured in nature (Payne and Ediche 2016). Any data that is transferred in the healthcare system that are produced through EHR devices are categorically unstructured in nature. These data are very difficult to work with in general. Natural Language processing tools in the EIA RA approach systems have the capability of acquiring a pattern in these arbitrary data produced in the healthcare systems.
The challenges that sensitivity nature in storing of electronic data faces, are described as follows (Raghupathi and Raghupathi 2014):
- Having compliance with the HIPAA technology
- Being compatible to the mobile devices
- Sharing of patient data within the healthcare institution
- Lack of integrations amongst the clinical and the administrative systems
- Analytics of the operations including the EHRs to perform profitability and productivity
- Lack of analytics talent in the healthcare system as the machineries and technologies follow ICT technologies, different from the expertise of a medical background person
The most important part of recommendation for the EHR system is the consideration of the implications of the evaluation of the electronic data produced. If this is implemented in the correct procedure, continuous improvement and development of a learning culture can be stimulated. If evaluation studies are studied further, negative results would just not be published, but also actions should be taken on them. This is, however; a typically complex procedure. Evaluation results might lead to make the conclusions overlooking at the aims of the implementation of EHR system in an EIA RA approach. It is better to avoid the system in these situations. Taken for instance, alerting systems that appear to be unreliable or alert too often too fast will not be accepted by personnel or management of a hospital. It is therefore needed that a formal documented action plan is implemented that is agreed upon by all stakeholders and allocates responsibilities for improvement and identifies timescales. In addition, it is important that there is proper communication of the actions and those necessary adjustments are made in. Taken as an instance are the policies in order to make the actions possible. For the interest of the health care community, it is important that negative findings are also viewed as a basis for shared learning and action planning. In addition, it is required that the healthcare systems should also be ready for the instances that are created due to the failure of the newest technology systems. For instance, there should be backup data at the ready if any sort of technological malfunction arises in the EHR systems. If these recommendations be followed, there would not be any misinterpretation, redundancy of data and loss of data due to technological failure.
Conclusion
Therefore, from the above report it can be concluded that the data that is stored in the health center platform are used for the usage of the platform of the Enterprise Information Architecture. The reports give the benefits that are enjoyed due to the aspect of collection the data regarding the data storage of the health centers. This is used for the case of the benefit of the clients as well as the planning of the organization. This is used for the case of the maintenance of the health record of the data that is being stored in the processing of the framework. The nature of the data entities that are used in the functioning of the health care and the volume of the structure an unstructured data are also performed in the processing of the Information System and the Integration of the database of the system. From the next part of the assignment we get a clear picture about the data integration and management system in the healthcare business. Any kind of data, that does not form into a similarity index or do not fall into a particular pattern that has been detected in the systems can clearly be used as a reference to make out the differences and form a new set of pattern. This enables the opportunity to the healthcare experts to find out if there has been any undetected disease or the presence of the symptoms of any new health problem. Thus, the benefits EIA RA and EHR implementation brings about in healthcare systems form the most revolutionary change in integration and management of electronic data in healthcare systems.
References
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