Week 4 debate

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debate Team 2 – Present an argument in a substantial post that quantitative research is a more effective method than qualitative research in health information management or health informatics. Use at least three scholarly sources, one of which can be the textbook, in providing evidence that supports this argument. (Hint: it may be helpful to find quantitative studies in the field of health to prove your point)

things to respond to


Debate Team 1 – Qualitative is more effective

Qualitative research can be a valuable method for understanding the complexity of social, organizational, and technological phenomena involved in health information management and health informatics. Unlike quantitative research, which relies on numerical data, qualitative research has the ability to provide a rich and detailed description of the stakeholders’ experiences, beliefs, and practices.

By exploring the stakeholders’ perspectives, qualitative research can contextualize and explain the quantitative data from health information systems or electronic health records. Moreover, qualitative research can involve the users and stakeholders in the design and implementation of health information systems and technologies by identifying their needs, preferences, and challenges.

“One of the major strengths of qualitative research is its emphasis upon understanding the phenomenon of interest holistically and in its context. The term phenomenology is popular and widely embraced, but its meaning has become confusing and faint. Different researchers refer to phenomenology differently. It can refer to an inquiry paradigm, an interpretive theory, a philosophy, an analytical perspective, a major qualitative research tradition or a research method framework” (Al-Busaidi, 2008). 

Qualitative research can also identify gaps and opportunities in health information management and health informatics by exploring the challenges that are faced by the stakeholders and the potential solutions to these challenges that may arise. Therefore, qualitative research can complement quantitative research in health information management and health informatics, providing a deeper understanding of the phenomena involved and informing system design and implementation.


For the week four discussion, I was assigned Debate Team 1 in favor of Qualitative Research.


Research as a concept can convey notions of a laboratory or other clinical setting where experiments are run using variables, controls, and repetitive quantification of a process from which to derive meaning. However, this finite and statistical method of measurement fails to take into account the dynamic nature of life, experiences that cannot be calculated numerically, and the value of human involvement as a factor in the processes being researched. For black-and-white calculations of probability, quantitative research may hold a place for general understanding and forecasting of patterns. But for elements dealing with the human condition, in particular with healthcare, a qualitative approach delivers understanding and perspective to an unknown variable that can lay the foundation for solutions applicable to the ever-changing environments of life.


According to Creswell (2018), there are several characteristics that differentiate qualitative research. Among them are 1) using multiple sources of data such as a combination of interviews, observations, documents, and calculations. The open-ended information gleaned from these methods is later compiled, compared, and ultimately categorized into codes that can be used to make sense of data. 2) Researchers use inductive then deductive reasoning as a tool for comprehension. First, abstract notions are inductively put together to form themes with which to understand the fundamental elements of the research topic. Then the themes are analyzed to deduce data and discover correlations or determine that more information is needed. Danford (2023) puts the notion of the qualitative method succinctly by stating, “Essentially gaining insight from the perspective of an individual’s experience can be transformative by grounding policies, guidelines, and directives in the experience of those to whom they apply, thereby contributing to the individualized health care for the patient and family in the context of their own environment” (pg. 41). Only by studying the qualities of a person’s perspective can this data be understood. Qualitative research provides a means of understanding health care on a global scale where various cultures and practices make efforts at finite numerical analysis impossible. Bhangu et al. (2023) make the case that “Such research can not only provide robust and reliable data but can also humanize and add richness to our understanding of the ways in which people in different parts of the world perceive and experience illness and how they interact with medical institutions, systems, and therapeutics” (para. 2). 


Ultimately, there is a place for quantitative research in areas of focus involving finite and simplified analysis that tries to break down experiences into patterns that are measurable with simple statistical tools. However, in the arena of the human condition, where people’s lives are at stake, and the complexity of culture, perspective, and even feelings are of a nature to the problem being studied, qualitative research must be the pathway that leads to understanding and a foundation for a real solution.



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