Dear editor,
One of the necessities in each health service provider is quality assurance. Accessibility to patients’ information is one of the most important factors for this goal and Electronic Health Records (EHR) does that. In this short review letter we provide a minimum data set template for Medical Tourism EHR in developing countries because of needed infrastructure in these countries. The collected data were classified based on popular use included demographic and clinical data such as diagnosis, and treatment. Such records are capable documents to store, retrieve, and transfer through the computer application. In addition, EHR can use by physician far from their patients simultaneously. Of course this tool needs infrastructure, platform, and applications as well (1, 2, 3). According to the results of this short review, the standards of Electronic Health Records have divided into four subcategories: Lexicon, Structure-content, Exchange messages and Health care confidence (4). The original set of data elements by the national health department for collecting and reporting required at the national level agreed (5). The results of comparison showed that database designing based on the documentary belongs to Health Information Standards Organization (HISO) Version 1.2, is efficient for better integration between the Islamic-Countries (6, 7). According to our review, HISO provides comprehensive e-Standards for several projects in some countries such as New Zealand (8) where one of the key elements of promotion in this project is localization and customization of the original pattern on medical records, according to HL7 and DICOM standards (9, 10). It seems can be considered a good regional instrument for integration between health service providers.
Footnotes
Conflict of Interest:
There is no conflict of interest to be declared.
References
- 1.Rafati H, Rashidi Jahan H, Hoseinpourfard M, Tavakoli HR, Tofighi S. Study about the Pattern of Knowledge Management in (Glenview) Healthcare Service Provider. World Appl Sci J. 2010;8(9):1116–21. [Google Scholar]
- 2.Eason K, Dent M, Waterson P, Tutt D, Hurd P, et al. Getting the benefit from electronic patient information that crosses organisational boundaries. 2012. Final report. NIHR Service Delivery and Organisation Programme, Department of Health, London.
- 3.Hosseinpourfard M, Abbasi S, Ayoubian A, Izadi M, Mahjob MP. Hospital Compliance with Clinical Documentation Standards: A Descriptive Study in two Iranian Teaching Hospitals. Int J Hosp Res. 2012;1(2):121–5. [Google Scholar]
- 4.Byrd JB, et al. Data quality of an electronic health record tool to support VA cardiac catheterization laboratory quality improvement: The VA Clinical Assessment, Reporting, and Tracking System for Cath Labs (CART) program. American Heart Journal. 2013 doi: 10.1016/j.ahj.2012.12.009. [DOI] [PubMed] [Google Scholar]
- 5.Castro VM, et al. QT interval and antidepressant use: a cross sectional study of electronic health records. BMJ. 2013;346:f288. doi: 10.1136/bmj.f288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hristidis V. Challenges and communities of medical informatics research. ACM SIGMOD Record. 2013;41(4):51–4. [Google Scholar]
- 7.Djerejian EP. Changing minds, winning peace: A new strategic direction for US public diplomacy in the Arab & Muslim world. The Advisory Group on Public Diplomacy in the Arab and Muslim World; USA. 4 October 2003. [Google Scholar]
- 8.Blobel B, Engel K, Pharow P. HL7 Version 3 compared to advanced architecture standards. Methods Inf Med. 2006;45:343–53. [PubMed] [Google Scholar]
- 9.Andrade R, Wangenheim Av, Bortoluzzi MK. Wireless and PDA: a novel strategy to access DICOM-compliant medical data on mobile devices. Intern J of Med Info. 2003;71(2):157–64. doi: 10.1016/s1386-5056(03)00093-5. [DOI] [PubMed] [Google Scholar]
- 10.Wang H-Q, et al. Creating personalised clinical pathways by semantic interoperability with electronic health records. Artificial Intelligence in Medicine. 2013 doi: 10.1016/j.artmed.2013.02.005. [DOI] [PubMed] [Google Scholar]