This is a solution of Methodology Assignment in which we discuss Methodology can help your company cope with aging systems and limited resources that can lead to fragmented Methodology solutions.
Chapter 1: Methodology
Australian healthcare and hospitals association is a public organization, which supports healthcare providers and hospitals to ensure a developed technological healthcare system so that Australian citizens can be benefited. Hence this part of the study focuses on the various steps to collect information about the electronic health record complexities in healthcare centers. The research problem along with sub problems is discussed first. Quantitative and qualitative research methods are applied and finally, justified reasons for the chosen methodology is proposed.
1.1: Research problem and collected literatures
1.1.1 Research Problem statement
This research focuses on the Australian Healthcare and Hospitals Association and the complexities it faces during installing EHR in its operations. Physicians already have a lot on their plate such as maintaining diagnoses list of coded documents, patient’s’ medication list and allergies, fulfilling billing forms, entering orders, initiating referrals, ensuring quality reports and considering population management. The introduction of EHR has made their lives even more complicated as they have to take on more tasks like maintaining searchable notes, generating patient record list for better quality reporting, exchanging summary of these records, performing surveillance on public health reporting, supporting other clinical decisions and keeping contact with other healthcare providers electronically (Denaxas et al. 2017).
The problem mainly affects the medical practitioners and hospital staffs. It creates boundaries in the existing workflow and in the interoperable solutions. Starting from the time it got implemented in the hospitals registered under the Australian healthcare and hospitals association, it has been affecting the operating procedures. This subject is creating its impact on all the hospitals and this is important to be fixed so that necessary developments can be taken to ensure proper health management to citizens
1.2.1: Contrast and compare between qualitative and quantitative methodologies
Quantitative research methods generally present the entire research in form of statistical figures and numbers so that the phenomenon can be understood through variables. It needs parameters like ratio, interval, nominal and ordinal and they originate from objective measurement scales. Numerical inputs will be the primary outcome of quantitative method (Bouamrane, Tao & Sarkar, 2015).
On the contrary, qualitative research method focuses on gathering data through open-ended interviews and market surveys. Since behavioral and social science are the main areas of originating aspect of qualitative research. Since, this research stays more descriptive so it becomes easier to understand (de Oliveira, Guimaraes & Jeunon, 2017).
Quantitative methodology stays conclusive whereas qualitative methodology stays exploratory. The research approach of quantitative is objective but qualitative research approach is subjective. The analysis of quantitative method is statistical and qualitative method is non-statistical.
1.2.2 Justification of chosen methodology
In this research, the chosen methodology is mixed methodology as it takes consideration of both the types of methods as in quantitative and qualitative methods. This is chosen because in order to identify the EHR complexities in healthcare centers quantitative data and qualitative knowledge are needed.
In order to develop a deep knowledge and understanding about the issue of EHR complexities, qualitative method plays a major role. The research is not just about people’s views on EHR complexities but also on the sustainable information of this system’s importance and reasons of its implementation in the hospitals.
1.3. Summaries of existing methodologies in the collected literatures
1.3.1 Selection of sub problem
In this segment the variability in metabolic health and the challenges faced due to complicated data recording system has been used for further analysis
1.3.2 Analysis of the selected methodologies and literature
Literature 1: IDENTIFYING GENETIC ASSOCIATIONS WITH VARIABILITY IN METABOLIC HEALTH AND BLOOD COUNT LABORATORY VALUES: DIVING INTO THE QUANTITATIVE TRAITS BY LEVERAGING LONGITUDINAL DATA FROM AN EHR
Considering the new trend of EHR adoption in hospitals, this research focuses on the quantitative method so that the longitudinal quantitative data from EHR in Geisinger Health system can be identified. The focused area is blood panel and complete outpatient metabolic rate. The quantitative variance from laboratory data to find relations among clinical phenotypes and genetic variants obtained through EHR. This is particularly significant for certain diseases, which are much more of heterogametic nature and progress with age and time.
Literature 2: Lessons Learned from Implementing Service-Oriented Clinical Decision Support at Four Sites: A Qualitative Study
Hence this research paper sheds its light on the issue of EHR complexities using a qualitative approach. Therefore the system demonstration analysis along with clinical observations all are part of this research article (Blijleven, Koelemeijer & Jaspers, 2017). Various challenging aspects of entire hospital infrastructure, workflow communication, clinical contents and external policies and regulations all face some dimension of complexities after EHR introduction in their hospital management system.
1.3.3 Relevance of research problems
Literature 1: This literature is relevant to this present research because it uses a quantitative method and present research focuses on the mixed methodology.
Literature 2: This literature is relevant to the present research as it uses qualitative method and the present topic lays its focus on mixed methodology. The system demonstration along with clinical observations all are done using a qualitative approach and thus it is relevant to the present topic.
1.4. Proposed methodology
1.4.1 Justification of chosen methodology
This is previously also mentioned that this present research focuses on mixed methodology because both the types as in quantitative and qualitative methods are applicable in this segment. customers along with feedback options are also provided. Hence, it is quite significant to use mixed methodology because the statistical numbers are as important as the depth understanding of the subject is.
1.4.2 Benefits and limitations of chosen methodology
Benefits: The benefits of choosing mixed methodology in research are as follows;
- Mixed methodology serves opportunities in facial interaction with people so that exact ratio and proper understanding of the problem can be identified together
- Surveys and testing are performed together in this method so it is quite beneficial in terms of identifying the severity of this problem
- Reliable and authentic sources can be evaluated in this method and because of that correct result can be derived
- This method has identified a good opportunity of user interaction so that the numerical data as well as descriptive information can be found
- Data analysis has been done on both types like structured and unstructured data and so the entire research has turned out to be scalable and transparent.
Limitations: Apart from the benefits, there are also certain limitations of this method and they are as follows;
- The methodology took account of various people and so it also dealt with a variety of perceptions which made the research progression somehow slow and difficult
- The statistical and descriptive data gathering together became complicated to some extent too
- Since, the method emphasized both the methods equally, so the resultant theories could be vague and ambiguous to some extent
- In the rush of considering quantitative and qualitative data together, some necessary portions could also be left out
- Since, methods were considered, the budget became quite high and time was not enough so there remain high chances of some important details to be missed out
Arndt, B. G., Beasley, J. W., Watkinson, M. D., Temte, J. L., Tuan, W. J., Sinsky, C. A., & Gilchrist, V. J. (2017). Tethered to the EHR: primary care physician workload assessment using EHR event log data and time-motion observations. The Annals of Family Medicine, 15(5), 419-426. Retrieved on 25th September 2016 from: http://www.annfammed.org/content/15/5/419.full.pdf
Blijleven, V., Koelemeijer, K., & Jaspers, M. (2017). Identifying and eliminating inefficiencies in information system usage: A lean perspective. International journal of medical informatics, 107, 40-47. Retrieved on 25th September 2018 from: https://www.researchgate.net/profile/Vincent_Blijleven/publication/319280169_Identifying_and_Eliminating_Inefficiencies_in_Information_System_Usage_A_Lean_Perspective/links/5b4e1a52aca27217ff9e9181/Identifying-and-Eliminating-Inefficiencies-in-Information-System-Usage-A-Lean-Perspective.pdf
Blobel, B. (2018). Interoperable EHR Systems–Challenges, Standards and Solutions. EJBI, 14(2), 10-19. Retrieved on 25th September 2018 from: https://www.ejbi.org/scholarly-articles/interoperable-ehr-systems–challenges-standards-and-solutions.pdf
Bouamrane, M. M., Tao, C., & Sarkar, I. N. (2015). Managing interoperability and complexity in health systems. Methods of information in medicine, 54(1), 1-4. Retrieved on 25th September 2018 from: https://strathprints.strath.ac.uk/55120/1/Bouamrane_etal_MOIIM_2015_Managing_interoperability_and_complexity_in_health_systems.pdf
de Oliveira, E. M. C., Guimaraes, E. H. R., & Jeunon, E. E. (2017). Effectiveness of Medical-Care Equipment Management: Case Study in a Public Hospital in Belo Horizonte/Minas Gerais. International Journal of Innovation, 5(2), 234-249. Retrieved on 25th September 2018 from: http://www.redalyc.org/pdf/4991/499154044006.pdf
Denaxas, S., Gonzalez-Izquierdo, A., Pikoula, M., Direk, K., Fitzpatrick, N., Hemingway, H., & Smeeth, L. (2017, June). Methods for enhancing the reproducibility of observational research using electronic health records: preliminary findings from the CALIBER resource. In Computer-Based Medical Systems (CBMS), 2017 IEEE 30th International Symposium on (pp. 506-508). Retrieved on 25th September 2018 from: https://www.researchgate.net/profile/Spiros_Denaxas/publication/321067543_Methods_for_Enhancing_the_Reproducibility_of_Observational_Research_Using_Electronic_Health_Records_Preliminary_Findings_from_the_CALIBER_Resource/links/5aa7b9c4a6fdcc9576d54dcb/Methods-for-Enhancing-the-Reproducibility-of-Observational-Research-Using-Electronic-Health-Records-Preliminary-Findings-from-the-CALIBER-Resource.pdf
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