Unit 1: My Research

 

Research Field: 

The research field I have choosen is the health industry's use of EHR systems in health care in Southern Africa. 

    

    

 

    

    

 


 


Table of Contents

Table of Contents. 1

Introduction. 2

Project Description. 2

Preliminary Literature Review.. 3

“Why is there little or no EMR\EHR system present in developing countries?”. 3

“Why would a country want an EMR system?”. 5

“Is there an EMR\EHR \ e-health system available for developing countries.”. 5

Research Questions, Design and Methodology. 5

Resources and Constraints. 7

Social, Ethical, Professional and Legal Considerations. 7

References. 8

 

 

Word Count: 2780


 

Introduction

In this report I will explore the use of electronic health records in South Africa and the rest of Southern Africa. I will explore my research questions which asks the questions:

“Why is there little or no EMR\EHR system present in developing countries?”

“Why would a country want an EMR system?”

“Is there an EMR\EHR \ e-health system available for developing countries.”

South Africa and other Southern African countries face many challenges that many developed countries would fail to understand. In this report I want to make these challenges clear, so I may present my own solution or prototype if available. I have explored academic literature reports and journals which I have read during my research and hope to tie it back to my own research questions stated above. My exploration will look at the issues EMR\EHR\ e-Health systems face in Southern African countries, the constraints they find as well as any social, ethical, professional, and legal considerations found. I will show my method of research, approach to literature and the goals I hope to accomplish with my research.


Project Description

The use of EMR (Electronic Medical Records) \ EHR (Electronic Health Records) or Health began as early as the 1960s with a Mayo Clinic in Rochester Minnesota being one of the first major health system to adopt EHR.  With the use of storing patient records and results into digital formats the healthcare database has expanded exponentially since then. With over 50 years of collecting patient data and with the use of data science and machine learning today.  We can help distinguish patterns in our current healthcare and healthcare from the past. As humanity learns more and more about how certain aspects of life can affect our health, we can use the data stored from EHRs to effectively predict certain outcomes. Here is a figure showing the use of an EMR system by general practitioners in France.







EMR systems have been used to supply better health care to patients and allow doctors to make better diagnosis of their patients. Developed countries have now had the additional advantage of collecting long term data to help the developed country make correct decisions on healthcare using what people term big data in healthcare. As big data has changed the way we manage and analyze data across industries. Big data does not fit into the typical data processing format. It is a massive amount of data sets which cannot be stored, processed, or analyzed using traditional tools(Batko and Ślęzak, 2022). Big data in healthcare will continuously allow for greater medical research like machine learnt medical predictions could be implemented.  

With such advantageous systems used in developed countries why are developing countries lagging with little or no presence of EMR or EHR systems present in their countries? I will use already written academic reports and articles that discuss and explain the issues developing countries face when implementing a EMR system. These issues could range from computer science issues to corruption. In this report I will hope to find the problems faced through these reports and articles and hope to give my own solution on how to solve the problems faced in Southern African countries based on my research done.

Preliminary Literature Review

“Why is there little or no EMR\EHR system present in developing countries?”

A countries performance in healthcare can be mostly affected by its economic growth and the invested resources. If for instance these two key principles are inadequate, then this will result in a poor health system in that country. On the other side of the coin a proper running healthcare (greater healthcare expenditure) can lead to increase economic performance in a country this was found to be true in the findings of Raghupathi and Raghupathi (2020). However, many difficulties face with regards to a countries health care system is that of poor public expenditure on health care. Sub Sharan countries could see a range of 0.6% to 1.5% of the GDP being used for healthcare (Wootton, 2001). Where South Africa shows a decrease trend in healthcare spending increased by 14.9% in 2016 and then a decrease of 3.16% in 2018. This brings the healthcare GDP expenditure to 9.11% in 2019 (Macrotrends).

 

A review on telemedicine for developing countries brought up some issues regarding the generic infrastructure of Sub- Saharan Africa. Where poor electricity supply; poor-quality water supplies; isolation and lack of continuing medical education are some generic infrastructures issues developing countries have that are not the same as that found in developed countries. With quality electricity supplies where the average consumption per capita is 124KWh per year in Sub Sharan Africa, which is one tenth of what is found in developing countries. This is not enough to power one light bulb for three hours per person in Sub Saharan Africa. With an issue on infrastructure especially that of power the EMR system should have the ability to be used using other means such as batteries and generators where needed. The researchers used a method of taxonomy on the projects and then focused on design issues developers would face. These issues were taken from researched literature as well as direct experience gained from working in the field. These design issues were then classified and then allowed the researchers to bridge the gap between the literature and the technical and practical needs to face when designing the system(Combi et al., 2016). Their research founded that maintenance cost is much higher after the system is implemented than that of the same system in a developed country. Other issues found were that of no minimal required ICT infrastructure for internet connections, bandwidth, etc. in most rural areas. This lack of minimal required ICT infrastructure is one of the reasons why such systems fail in Southern Africa.

 

What of a mobile system that uses mobile technology to capture and run the EMR system. Would this possible in to implement in developing countries? A mobile system would use mobile technologies to assist in creating a EMR system. The rate of people in developing  countries having access to mobile phones has grown considerably to that of the population in the last 15 years (Union, 2013). See figure below.



(Figure 1)



Figure 1.

Creating a system which uses mobile technology will indeed help with issues of remote connectivity to rural settlements in and around Southern Africa. However. It is unfortunately it is not that simple to use mobile technologies as we run into the problem of cost. Southern Africa has some of the highest costs for data in the world. With most of the countries ranking higher than 170 in the Global broadband pricing league table 2022 data (cable.co.uk, 2022). With extreme data prices in a developing country, it will become difficult to instate a EMR system that works using purely mobile technologies. This is due to the added costs that would come to hospitals and doctors who would use the system. It is only through government intervention that could see mobile technology work for an EMR system. Possibilities would entail the government forcing free data billing while using the system on the mobile providers in Southern Africa. Which could lead to many other political reasons for this not being possible due to other forces like corruption and poor governance. Karageorgos et al. (2019) founded that due to many studies being conducted through pilot and/or small-scale trials does hinder any significant conclusions to be drawn. However, there are positive signs that mobile technologies could be used in developing countries as it has been shown health workers benefit from such technologies(Combi et al., 2016).

 

In the paper Mandirola Brieux et al. (2015) they researched through a survey how the impact of a eHealth implementation is different in a developed and a developing country. They survived experts to discover the expert’s opinion about five general questions. These questions were: economic support by Government for eHealth, Government education or training projects in the field, issues related to cultural or educational problems for the implementation of eHealth, policies in terminology or messaging standards and eHealth status policies for long periods. They found there was a huge gap in cultural and education issues regarding eHealth. This brings a issue that could be faced in Southern Africa which is that of continuous education and cultural issues. Southern Africa is a culture which area with many different cultures residing within it. Take South Africa for example with 11 official languages each of which stems from a different culture resining within the country.

 

Other concerns that could come in the way of a EMR system in Southern Africa are that of legal and regulatory concerns. Is there commercial gain at other party’s expense. What of individual consent vs group consent. Another big concern for data in all parts of the world is the ownership of that data. Who owns the data?

“Why would a country want an EMR system?”

A journal of big data by Batko and Ślęzak (2022) describe what Big Data is and how Big Data analytics has become and the possibilities that can come from Big Data Analytics in healthcare. This journal gives a very well defined definition of what Big Data is and what Big Data Analytics would entail. The paper first studies literature and reviews studies on Big Data and Big Data Analytics, then it presents results aimed at using big data analyses in medical facilities in Poland. Poland is still considered a developing country which should help in my research as like most Southern African Countries are developing countries. This study concludes that Polish medical facilities use Big Data in healthcare to benefit themselves in terms of business and administration goals. While they are now progressing to use it for its patient healthcare benefits. It shows that decisions made by medical facilities were largely data driven. Example new purchases and restocking the facilities. This brings a form of governance to a medical facility which could be seen as a desirable goal for facilities in Southern Africa.

 

“Is there an EMR\EHR \ e-health system available for developing countries.”

For this question I will take current products available in South Africa and create a table of checkmarks to see if these products can withstand the issues that developing countries face. This will be in terms of literature review carried out and any correlations found between the research and churn model created using unsubscribed users from systems. These product names will remain anonymous for legal considerations. But will allow a clear answer for my research question and hypothesis which is “There is no current EMR\EHR\ e-health system which can be successfully hinder the issues faced in developing countries in Southern Africa”.

Research Questions, Design and Methodology

My research question for this research are as follows:

“Why is there little or no EMR\EHR system present in developing countries?”

“Why would a country want an EMR system?”

I hope these questions allow for a broad yet concise answer. My hypothesis is that there is no exact answer to either of these questions. Yet there will be similarities or hopeful prospects that could be found. The design of this research will be to read through literature to find proof and other findings to answer my research questions.

My intended approach will be a qualitive, interpretive approach. Where the data will be collected systematically through review. With the end goal to review existing articles regarding EMR\EHR or e-health development in developing countries like Southern\Sub Sahara Africa, including that of South Africa. I will then hopefully be able to create a churn model to find correlation between events and cancelation of services of EMR\EHR\ e-Health programs. I any correlation is found look for review literature which specifically looks at those correlations or issues. With all literature and churn model classification complete I will hope to create a design for a system which will allow EMR\EHR e-health systems to prosper in developing countries which hold similar issues found in Southern Africa. See below image for process flow.

 



I plan to follow the guidelines of the hermeneutic framework, which was developed based on the hermeneutic principle as discussed in Cochrane Collaboration(Katurura and Cilliers, 2018). I have chosen this framework as it seems to be most suitable for conducting a qualitive research of data and describes the literature review process as fundamentally a process of developing understanding that is iterative in nature(Boell and Cecez-Kecmanovic, 2014).

Resources and Constraints

With issue on resources, about many Southern African countries in terms of clear statistics and clear legislation. I will try keep my resources and descriptions as close to home (South Africa) as much as possible. This is because I have had multiple years of experience in the field of consulting and developing roll outs for EMR systems in South Africa. A lot of constraints come from the POPI (Protection of Personal Information Act) legislation in South Africa. This has given my research some hurdles to climb when asking for data from a past company I used to work for regarding their data on customers leaving. I was hoping to do a churn model to find similarities or correlation to my research and the data which explains why people have unsubscribed from the companies EMR system products.

If there is an issue with getting the dataset needed I will try to conduct different research methods to gather information that correlates to my hypothesis of no such EMR\EHR e-health system is currently available for developing countries. As the current systems do not consider developing countries issues in development.

Social, Ethical, Professional and Legal Considerations

The World Health Organization (WHO) founded the Global Observatory for e-health (GOe) in 2005. This was to have the WHO commit to investigate and study the implementations of e-health (World-Health-Organisation). This allows for a better a more transparent view of how e-health system should be implemented. The considerations that come with EMR\EHR and e-health systems comes from many sectors.

Another consideration comes from my current literature review where educations and cultural issues are an important part of a successful EMR system being implemented and maintained in developing countries. This was expressed in multiple papers that I have read so far. This show it is a clear concern and issue developing countries face when implementing EMR\EHR\ and e-health systems.

 

With South Africa planning to implement the National Health Insurance scheme soon there are many legal considerations to consider when developing a system. One of which is the legal considerations. In South Africa the POPI act is one such consideration that will need to be checked. This act protects the people of South Africa from miss use or unproper governance of their personal information.

 


 

References

BATKO, K. & ŚLĘZAK, A. 2022. The use of Big Data Analytics in healthcare. Journal of Big Data, 9, 3.

BOELL, S. & CECEZ-KECMANOVIC, D. 2014. A Hermeneutic Approach for Conducting Literature Reviews and Literature Searches. Communications of the Association for Information Systems, 32, 257-286.

CABLE.CO.UK 2022. Global broadband pricing league table 2022.

COMBI, C., POZZANI, G. & POZZI, G. 2016. Telemedicine for Developing Countries. A Survey and Some Design Issues. Appl Clin Inform, 7, 1025-1050.

KARAGEORGOS, G., ANDREADIS, I., PSYCHAS, K., MOURKOUSIS, G., KIOURTI, A., LAZZI, G. & NIKITA, K. S. 2019. The Promise of Mobile Technologies for the Health Care System in the Developing World: A Systematic Review. IEEE Rev Biomed Eng, 12, 100-122.

KATURURA, M. C. & CILLIERS, L. 2018. Electronic health record system in the public health care sector of South Africa: A systematic literature review. Afr J Prim Health Care Fam Med, 10, e1-e8.

MACROTRENDS, L. South Africa Healthcare Spending 2000-2022 [Online]. Available: https://www.macrotrends.net/countries/ZAF/south-africa/healthcare-spending [Accessed 2022].

MANDIROLA BRIEUX, H. F., BHUIYAN MASUD, J. H., KUMAR MEHER, S., KUMAR, V., PORTILLA, F., INDARTE, S., LUNA, D., OTERO, C., OTERO, P. & BERNALDO DE QUIRÓS, F. G. 2015. Challenges and Hurdles of eHealth Implementation in Developing Countries. Stud Health Technol Inform, 216, 434-7.

RAGHUPATHI, V. & RAGHUPATHI, W. 2020. Healthcare Expenditure and Economic Performance: Insights From the United States Data. Front Public Health, 8, 156.

UNION, I. T. 2013. ICT Facts and Figures.

WOOTTON, R. 2001. Telemedicine and developing countries--successful implementation will require a shared approach. J Telemed Telecare, 7 Suppl 1, 1-6.

WORLD-HEALTH-ORGANISATION. Global Observatory for eHealth [Online]. Available: https://www.who.int/observatories/global-observatory-for-ehealth [Accessed 2022].

 

Comments

Popular Posts