Glycemic Control Report: Strengths, Weaknesses, and Application

This report examines the evolution and application of tight glycemic control (TGC) in healthcare, particularly within intensive care settings. It highlights the benefits of TGC, such as maximizing interaction and minimizing human errors through user-friendly interfaces designed for nurse staff and guiding doctors in patient care. The design focuses on minimizing clinical efforts and improving the quality of TGC. The report explores the strengths of TGC, including the use of predictive models and its adaptability to provide different information to various users. However, it also addresses weaknesses, such as the practical challenges of implementation, the influence of human factors leading to errors, and the need for staff training and financial investment. Furthermore, the report discusses the application of TGC, emphasizing the role of computerized protocols and model-based methods in improving compliance and reducing unnecessary interactions. References to key research papers support the analysis, providing a comprehensive overview of the topic.

Evolution of Journal Article

Strength
The benefits of tight glycemic control include the maximisation of interaction. The couples to a
protocol enable to maximise the nurse staff to choose the measurement intervals which helps to
manage the work by themselves. The focus of design is mainly for the user interface that is nurse
staff, and it also guides the doctors regarding the overall care of the patients. The implementation
of design enables to minimise the human errors which provide the management in a most
efficient and effective manner. The feedback of user is used in developing the design which
helps to reduce the chances of acceptability by the end users. It also provides the opportunity to
improve the compliance and quality of TGC (Ward et al., 2012). It also shows the adaptability to
offer different information to the different type of users. The additional information and
longitudinal data are provided which enables to use the design easily. The design is mainly
developed to minimise the efforts of clinical and to provide convenience to the end users who are
who mainly the staff of nurse. The aim of the design is fulfilled by the acceptance of the design
successfully. Tight glycemic control in the practice of controlling blood glucose to the normal
and it aim to avoid the effects of hyperglycemia. The new technologies comprise of predictive
models which improve the safety of tight glycemic control. It provides the benefits in response to
the critical illness. It also provides more accurate control of the variability of critically ill. In the
intensive care research, it is the exciting new revolution.

Weaknesses
The implementation of tight glycemic control is difficult because it is less practical in nature.
The testing methods are based on the fundamentals of human factors due to which the errors are
inbuilt in the overall design. The implementation requires training to the end users and the
implementation of information system in the organisation which needs funds. The justification of
tight glycemic control premise requires establishing whether the stress is contributing directly to
the symptom of ill or not. The problem which arises due to human factors includes misentry of
data, entering of incomplete data, misentry of control input which is suggested to the insulin, and
frequency of measurement (Chase et al., 2011). The chances of default entry are higher in the
system of implantation.
Application
The overall design interface is designed to minimise the perceived ad real efforts of the clinical.
It enables to reduce the efforts of human resource. The opportunity to improve the compliance
and TGC quality is provided by the computerised protocols and model-based methods. The
design of graphical user interface minimizes the unnecessary interactions (Chase et al., 2007).
The overall design maximises the ease of use by the nurse staff, and the intervals can be easily
measured by the nurse staff.

References
Ward, L., Steel, J., Le Compte, A., Evans, A., Tan, C. S., Penning, S., ... & Chase, J. G. (2012).
Interface design and human factors considerations for model-based tight glycemic control in
critical care. Journal of diabetes science and technology, 6(1), 125-134.
Chase, J. G., Le Compte, A. J., Suhaimi, F., Shaw, G. M., Lynn, A., Lin, J., ... & Preiser, J. C.
(2011). Tight glycemic control in critical care–the leading role of insulin sensitivity and patient
variability: a review and model-based analysis. Computer methods and programs in
biomedicine, 102(2), 156-171.
Chase, J. G., Shaw, G. M., Lotz, T., LeCompte, A., Wong, J., Lin, J., ... & Hann, C. E. (2007).
Model-based insulin and nutrition administration for tight glycaemic control in critical
care. Current drug delivery, 4(4), 283-296.