Abstract
Data Visualization (DV) is vital in modern healthcare for informed decision-making and quality patient care. The application of DV is discussed in this work, especially when displaying patient health parameters (PHP) and medical records. This analysis shows that PHP offering immediate feedback on rational reactions to medical intervention and retroactive medical records makes a comprehensive understanding of a patient’s health over time. Dashboards and infographics are considered primary DV tools in the healthcare sector. Specifically, dashboards summarize crucial performance indicators and metrics.
On the other hand, infographics transform complex data into visually appealing formats that are easy to understand for different people. Based on recent studies, the paper recommends that more interactive components be included in dashboards, demonstrating the importance of customization and precise labelling to ease understanding. The biblical principle states that knowledge is life and healing and, therefore, emphasizes the necessity of privacy for patients and accountable data governance. Finally, DV comes to light as a living, healing knowledge to improve patient care in the medical field.
Keywords: Data Visualization, healthcare, ethical concerns, stakeholders, patients
In today’s world, most business operations can only work with Data Visualization (DV). According to a study by Battineni et al. (2021), it is an art of visual interpretation. The authors mention that the graphic work is presented in maps or charts. Qin et al. (2020) prove that DV helps reveal trends and patterns in a large amount of data. Data Visualization serves as a guide to healthcare professionals that assists them in making correct decisions and improving patient care in the healthcare sector. This paper explores a healthcare sector that uses DV to communicate relevant information to various stakeholders.
Displayed Data
In this context, the healthcare data includes patient health parameters (PHP) and medical records. They consist of diagnostic images, treatment plans, and patient population (Qin et al., 2020). PHP is robust and provides instant feedback on cognition responses to medication interventions (Vellido, 2020). Besides, medical records are always retrospective. An analysis by Qin et al. (2020) illustrates that they contain the client’s medical history, laboratory results, and medications. Combining these datasets gives stakeholders a broader picture of a patient’s health. Battineni et al. (2021) state that it also enables trend observation over time.
Types of DV in Healthcare
Healthcare facilities use dashboards and infographics for DV. Qin et al. (2020) show how dashboards summarize KPIs and metrics. Battineni et al. (2021) concur with this finding and argue that this approach integrates various data points into a centralized visual interface. Dashboards have different graphic elements, such as line charts, bars, and geographic maps (Qin et al., 2020). Similarly, infographics are utilized to change complex healthcare data and details into visually engaging and easily understood formats. They represent disease patterns and lifestyle modification. It makes it easy for a concise and visually appealing means of communication for a diverse audience.
Application of what I learned
For the efficacy of DV in healthcare, I would incorporate more interactive features into dashboards. It empowers healthcare professionals to customize views based on their specific needs. Battineni et al. (2021) assert that it fosters a more dynamic and personalized data exploration. Besides, clear and concise labeling should be consistently applied across all visualizations. According to Qin et al. (2020), concise grouping ensures easy comprehension.
Why I Recommend These Changes
Introducing interactive features on the dashboard allows all stakeholders to tailor visualizations to their specific needs. It fosters a more personalized and efficient understanding of the data. Properly labeled information reduces the chances of misinterpretation. A more intuitive visual experience is achieved through careful color choices and the addition of trend lines. Battineni et al. (2021) it simplifies the process of stakeholders to identify patterns and anomalies. These adjustments enhance the users’ overall experience by facilitating proactive healthcare interventions.
Ethical Considerations
The use of DV tools in healthcare raises ethical concerns. These conform to standards of openness, patient privacy, and accountable data governance (Battineni et al., 2021). As such, all healthcare employees will always focus on patients’ health. The word of God instructs us, “Let them not escape from your sight; keep them within your heart. For they are life to those who find them, and healing to all their flesh” (English Standard Version, 2001/2016, Proverbs 4: 21-22). The meaning behind the message shows that it is knowledge that gives life and healing. Scripture underscores the confidentiality nature of medical information and its contribution to treatment and recovery.
Conclusion
Data Visualization in Crucial Healthcare. It acts as a dynamic lens through which diverse information is observed to enhance patient care and make better decisions. Healthcare data management requires utmost attention and care because it gives life and healing to the patients.
References
Battineni, G., Mittal, M., & Jain, S. (2021). Data visualization in the transformation of healthcare industries. Advanced Prognostic Predictive Modelling in Healthcare Data Analytics, 1-23. http://tinyurl.com/ye22u9f5
Qin, X., Luo, Y., Tang, N., & Li, G. (2020). Making data visualization more efficient and effective: a survey. The VLDB Journal, pp. 29, 93–117. https://doi.org/10.1007/s00778-019-00588-3
The Holy Bible: English Standard Version (2016). Crossway Bibles. https://www.biblegateway.com/versions/English-Standard-Version-ESV-Bible/
Vellido, A. (2020). The importance of interpretability and visualization in machine learning for applications in medicine and health care. Neural Computing and Applications, 32(24), 18069–18083. https://doi.org/10.1007/s00521-019-04051-w
write