Patient Identification

Frameworks are employed to comprehend how the ideas utilized in data processing are related to one another. As a result, researchers frequently choose one of the words and use it consistently throughout their investigation. Theories are developed to comprehend, predict, and explain occurrences. For instance, the study would build models based on patient identification as a research issue, such as algorithmic techniques and unique patient identifiers. The key topics of discussion will be the theoretical foundation for research and the utilization of theoretical and conceptual frameworks in qualitative research. Therefore, conceptual and theoretical framework theories play a crucial role in research analysis, given their significance in developing a concept map and basis for patient identification.

Frameworks in research

A theoretical framework offers a focal point for tackling the uncharted in a particular domain. It is necessary to develop a theory to demonstrate why the existing relationship exists if, after implementing the theory, some connection is discovered between one or more variables (Green, 2014). As mentioned earlier, a conceptual framework for the study will be constructed, and notions will be shown using the theories and data that are now accessible to solve problems and direct the research.

Which theories have others cited?

Due to the increasingly descriptive character of research, constructs are employed more frequently in qualitative studies. However, researchers also employed the other since quantitative research frequently uses the other theoretical framework (Connely, 2014). As said, the conceptual models could test out superior concepts. For instance, I used the patient identification theory with other theories to develop a conceptual framework for my research. The idea included Unique Patient Identifiers and Algorithmic methods to gather adequate data for analysis. Several variables will be taken from patients, clients, and healthcare professionals to create a predictable match of patient identification (Riplinger et al., 2020). Additionally, the framework will have an adaptive model, including input, control process, effectors, and output. Stimuli and role functions were connected to coping strategies and physiological-physical effectors to generate an adaptive response during the input stage. A feedback loop would be invoked to change the conceptual map if the procedure produced an inadequate answer (Riplinger et al., 2020). As a result, the research needs to incorporate many conceptual and theoretical frameworks.

Are you seeing a common theme?In the theoretical framework, a researcher uses a query to find information. Conceptual, on the other hand, is something that has to be demonstrated. These are the same themes, yet there are diverse ways to represent them (Green, 2014). A researcher must create a conceptual framework supported by some of the literature's existing theoretical frameworks (Green, 2014). Normally, a conceptual model cannot be sustained without employing theoretical perspectives.

Overall, conceptual and theoretical framework theories play a crucial role in research analysis, given their significance in developing a concept map and basis for patient identification. As a crucial step in the research process, research cannot begin without knowledge of the fundamental ideas. Additionally, creating any conceptual framework is crucial in the research process. By developing a conceptual framework, a researcher may better understand the key ideas underlying their study design, how they relate to one another, and how they will be measured in the future. Therefore, using both conceptual and theoretical frameworks is vital in the patient identification process.

References

 Connely, L. (2014). Use of theoretical frameworks in research - ProQuest. https://www.proquest.com/openview/da93a1fb535375f29c35c30b42d17454/1?pq-origsite=gscholar

Green, H. E. (2014). Use of theoretical and conceptual frameworks in qualitative research. Nurse Researcher, 21(6), 34–38. https://doi.org/10.7748/nr.21.6.34.e1252

Riplinger, L., Piera-Jiménez, J., & Dooling, J. P. (2020). Patient Identification Techniques – Approaches, implications, and findings. Yearbook of Medical Informatics, 29(01), 081–086. https://doi.org/10.1055/s-0040-1701984