The Double Integration cloud system is a new application on the cloud that help the user, the physician usually or pharmacist or any health care provider, to integrate all the patients’ information from all over the nation hospital or from one hospital and different system. By using central database that contain a table with at least three different ID’s. First is National Id, which refers to the Id of each country such as Riyadh and Jeddah. The second Id is the Hospital Id witch refers to each hospital in one country. The last Id is the local Id, which refers to the patient in one hospital. The system can find and match the patient record by its Ids and retrieves and exchanges this information using the HL7 standard. Double Integration application on request can find all patient record not only in one hospital even in all hospitals in one country as national (Wager, Lee, & Glaser, 2013).
At the level of the hospital we can integrate all patient information’s from all different hospital systems such as LIS, RIS and Pharmacy in one view, we assume that each patient in any hospital had a local unique Id to identify its record in the same hospital and the other two Nation Id and Hospital Id. By using this local Id and specify the hospital Id that he searching in we can find all patient information and integrate them in one view.
At the level of the nation the physician can request the history of on patient by interring in the system the patient local Id and the national id and he will search all the hospital to find out if he had any medical history in any of them.
There are many advantages for the above proposed system: the ability to integrate all patient information in one single record, any time anywhere .And the more important over this is the patient medical history all over the country that makes it easy for the Physician to decide about the patient condition. The system utilizes new advanced technologies such as cloud computing, database integrating, and web application (Wager, Lee, & Glaser, 2013).
The gap in this objective is the parameters that are pertinent in the adoption of cloud computing in referral hospitals. There parameters that have been mentioned in many researches are those in other sectors. There is no research that has been proposed to cover this area of referral hospitals.
Data security and confidentiality
While organizations can see value in real cloud-delivered applications today, challenges remain. Security is one of the more significant concerns. Organizations need to manage the security of their infrastructure carefully, taking into consideration everything that could happen.
The health sector in the country has been facing numerous challenges with regard to storage of medical records, patient records and information pertaining drugs and prescriptions. The problems further include the transfer of these records and information between the several health care facilities in the country for effective delivery of health and medical service (Wager, Lee, & Glaser, 2013).
Proper implementation and use of cloud computing in various sectors has proved to be fruitful to the organization by taking the whole aspect of computing to another level. This in essence creates a collaborative and well coordinated environment in the various sectors.
In their research work, Huang et al. (2005) [15] HL7 is a standard applied in interchange of electronic data within the domain of a health care system and that it was developed in 1987. Precisely, inclusion of the term ‘level 7’ is used in reference to the application layer of the Open System Interconnection (OSI) model. According to Saeed et al., (2011), HL7 is used in converting electronic medical data as well as other health information into the standard HL7 format. In addition, Hl7 is based on Extensible Markup Language (XML) standard to exchange structured data as well as documents on the internet. Reason being this is a universal format and it is relatively easy to implement. In terms of performance, HL7 defines both the content of the information/data as well as transmission sequence for every event in the computerized health domain (Wager, Lee, & Glaser, 2013).
However, according to Saeed et al., (2011) a lot of users perceive that HL7 lacks easy-to-use tools for retrieving information. As such, in the recent past ongoing research has been on how to facilitate effective integration between online health knowledge resources and clinical information systems. This has led to the development of HL7Context-Aware Knowledge Retrieval Standard widely referred to as Infobutton. Infobuttons makes use of interaction between the clinical information system and a user to forecast information needs and as well retrieve content from online knowledge resources which may be used in addressing such needs. Its adoption is argued by Day and Gray (2012) as having the capacity to bring contextually relevant clinical decision support content into healthcare system.
References
Buntin, M. B., Burke, M. F., Hoaglin, M. C., & Blumenthal, D. (2011). The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Affairs, 30(3), 464-471.
Day, C., & Gray, A. (2012). Health and related indicators: health information.South African health review, 207-329.
Saeed, M., Villarroel, M., Reisner, A. T., Clifford, G., Lehman, L. W., Moody, G., & Mark, R. G. (2011). Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II): a public-access intensive care unit database. Critical care medicine, 39(5), 952.
Wager, K. A., Lee, F. W., & Glaser, J. P. (2013). Health care information systems: a practical approach for health care management. John Wiley & Sons.
