Introduction
The necessity to measure and assess the levels of glucose in patients is one of the key challenges that diabetes represents. Due to the need to respond to changes in a patient’s glucose levels rapidly to prevent the adverse effects caused by insulin loss from taking place (Kunttu, 2017). The traditional testing strategy based on a fingerprick approach does not allow measuring glucose levels adequately due to the limitations that it involves. The introduction of a continuous glucose monitor that will allow determining changes in a patient’s blood within a specific time-lapse will help to address the cases of an insulin crisis more adequately. However, the proposed change will require re-establishing relationships between the industry and academy by introducing the idea of collaboration and enhancing reciprocity between the parties involved.
Theoretical Framework
To study the connection between the healthcare academia and the industry producing the devices under analysis, one will have to consider the theoretical framework that scrutinizes the relationships between the parties involved. For this purpose, one will need to introduce the key tenets of the conceptual; model of relational joint learning should be considered as the foundational set of principles for the analysis (Kunttu 2017). According to Kunttu (2017), the selected approach will help to understand the complexity of the relationships between academia and industry, thus building a network of obstacles and enhancing factors that affect the relationships between the stakeholders under analysis (Kunttu, 2017). The integration of the relational joint learning theory should be deemed as a crucial step in performing the assessment and detailing the connection between the factors under consideration.
Problem Statement
The key problem in designing the tool that will allow measuring the levels of insulin in diabetic patients is linked to the challenges of supervising the processes within a diabetic patient’s body and locating the stages at which the changes in the levels of insulin can be defined as dangerous. The issue of connecting academia and industry has to be addressed. The precision of the information supplied by researchers defines the accuracy and efficacy of the performance delivered by corresponding devices for managing patients’ needs (Kunttu, 2017). The statement is also true for a continuous glucose monitor (CGM) as one of the tools that assist in avoiding the instances of an insulin crisis in diabetic patients (Kunttu, 2017). There is a need in connecting the research and production processes by linking academia and the industry. Exploring the impediments in the direct communication between the two agents and studying the approaches for removing these obstacles will be necessary.
Research Purpose
The goal of the study is to define the impediments to the successful data transfer between the realm of academia and industry in creating a CGM that will allow detecting the threats associated with a change in the levels of insulin immediately. Success in research will guarantee well-being for a sizeable amount of the population that suffers from diabetes. It is critical to conduct the study as the pathway to improving the quality of care for patients with diabetes and set the stage for the continuous improvement in the efficacy of nursing care for the target demographic. The study will explore the strategies for enhancing the dialogue between the academy and industry to create the communication approach that will allow making the existing framework for monitoring the levels of glucose in diabetic patients as closely as possible.
Literature Review
The problem of maintaining the dialogue between the academy and industry consistent has been in existence for an amount of time. The observed tendency affects the quality of healthcare and the efficacy of managing patient-related concerns to a great extent. The problem increases as the urgency of a health issue and the seriousness thereof rises; the issue of maintaining cooperation between the industry and academy is vital for meeting diabetic patients’ needs (Knuth 2017). Accurate reports concerning BEEP-based observations in the clinical settings will inform the design of CGM tools and the improvement of the current framework, which requires revisiting the issues occurring in the dialogue between the academy and industry. The resulting change in the relationship dynamics will affect the efficacy and speed of the delivered services, making the CGM tool more accurate and useful.
Questions and Hypothesis
The focus of the research is on the factors that facilitate the improvement of the current CGM design and the management of data obtained from measurement to reinforce the efficacy of healthcare services. The issue under analysis has to be reviewed through the lens of the relationships between the academy and industry, determining the factors that contribute to creating an improved tool for measuring glucose levels in patients. The research will strive to answer the following question: what factors determine the success of data management between the academy and industry when improving the existing CGM techniques? The current hypothesis holds that the lack of reciprocity and connection between the academy and industry defines a drop in the quality of produced CGM devices.
Research Methodology
Sampling
The principal methods to be adopted can be defined as qualitative since the study is focused primarily on the qualitative relationship between the variables. To perform the study properly, one will have to consider selecting the target population based on their involvement in the academy and industry. Two types of groups will be farmed, the first type of participants being represented by scholars, whereas the second one includes nurses operating in the diabetic care environment. By considering the information that the target population provides, one will identify the key problems in the communication between the academy and industry, thus selecting the options for improving the communication. The opportunities for creating better CGM devices and introducing important changes to the current design thereof will emerge. The sample will consist of 10 participants representing each side.
Data Collection
The information will be collected using semi-structured interviews. The proposed format will allow receiving extensive data concerning the topic under analysis, at the same time encouraging the participants to provide additional information that may help address the concern.
Data Analysis
The analysis of the information will be performed with the help of the qualitative research method. The obstacles that lie between the academy and industry regarding the creation and improvement of a CGM tool will be determined. The results of the analysis will inform the creation of a better environment for collaboration between the academy and industry.
Research Limitations
The study described above is restricted by several factors that may affect the accuracy of the research outcomes. The issues associated with the research methodology currently represent the most significant impediments, with the selection of the data collection strategy being the primary area of concern. Since the information that will be provided by the participants will have to be processed and analyzed by interpreting the statements made by interviewees, the threat of a subjective reading of their responses may emerge. The issue in question can be addressed by avoiding any instances of ambiguity and clarifying the issues that may be understood in more than one way. The integrity of the research will remain high, and the threat of a subjective interpretation of results with the following drop in the levels of study credibility will be managed respectively. There are also ethical issues associated with the management of data and especially with keeping it undisclosed to the third party. The ethical concern in question can be managed by maintaining the principles of non-disclosure as far as personal data in research is concerned.
Relevance and Significance
Given the current problems related to addressing the needs of diabetic patients, the study that will inform the further improvements in the CGM design is bound to have a vastly positive effect. By analyzing the link between research and industry, one will identify the causes that may involve the misinterpretation of data or the wrong delivery thereof that may affect the quality of the end product. Consequently, the platform for creating an improved CGM tool will be provided along with the opportunity for handling the needs of vulnerable groups in the most effective way possible. The link between the academy and industry will also shed light on the importance of integrating EBP into the creation of treatment tools and devices for controlling patients’ health status. Overall, it is assumed that this research can be deemed as relevant and significant for the improvement of diabetic patients’ health, as well as the relationships between the academy and industry.
Conclusion
The issue of diabetes and the process of monitoring changes in patient’s health status has recently gained special attention. Due to the opportunities that technological advances provide, creating an improved CGM tool may be possible, yet the specified task demands close collaboration between the academy and industry to create an improved device for assessing patients’ insulin levels. Therefore, a study that addresses problems in the relationships between the academy and the industry, encouraging the application of EBP techniques, will be needed.
Reference List
Kunttu, L 2017, ‘Educational involvement in innovative university–industry collaboration’, Technology Innovation Management Review, vol. 7, no. 12, pp. 14-22.