The incorporation of mathematics and medicine is considered a deep interdependence, significantly influencing healthcare aspects and driving innovations in medical technology and treatment methodologies. The interplay between mathematics and medicine advances healthcare science and enhances mathematical practices and theories, promising transformative progress in personalized healthcare. Despite the fragmented nature of existing research, a comprehensive synthesis is needed to fully grasp mathematics' broad implications in medicine, addressing challenges and unlocking its full potential in revolutionizing healthcare practices. The study utilized a systematic review approach integrating social network analysis, text mining, and content analysis methodologies to explore mathematics' implications in medicine comprehensively. Inclusion criteria focused on peer-reviewed articles employing quantitative and qualitative methodologies within the medical context from 2014-2024, resulting in eleven (11) selected studies. Thematic analysis and cross-study comparison facilitated a cohesive narrative, exploring the overarching role of mathematics in advancing various domains within medicine. The review of the eleven articles underscores mathematics' indispensable role in healthcare, impacting patient safety, education, research, and analytical endeavors profoundly. The result highlights the critical need for solid mathematical proficiency among healthcare professionals; the articles stress the importance of enhancing mathematics education programs to prepare students better, fostering confidence, precision, and innovation in navigating complex medical tasks and driving improved health outcomes.
The integration of mathematics and medicine is characterized by a deep interdependence, where mathematical principles significantly influence and advance various aspects of healthcare and contribute to innovations in medical technology and treatment methodologies. From refining the precision of medical apparatus to facilitating early disease detection, mathematical modeling and computational algorithms play crucial roles in medical diagnostics. The interconnectedness of mathematics and medicine continues to evolve, fostering innovations that enhance diagnostic accuracy, treatment effectiveness, and overall healthcare outcomes 1. Additionally, medicine and mathematics advance healthcare science and catalyze the enhancement of mathematical practices and theories, shaping fields such as statistics and computational modeling 2. As modern technology advances and our understanding of both disciplines deepens, the collaborative interaction between mathematics and medicine promises to drive transformative progress in pursuing better, more personalized, and efficient healthcare solutions 3, 4.
Existing literature showcases the diverse applications of mathematics in medicine, highlighting its potential to revolutionize healthcare practices across multiple domains. Mathematical modeling has been utilized in epidemiology to predict the spread of disease 5, inform public health policies and protocols 6, and guide intervention strategies during outbreaks 7. Moreover, mathematical techniques such as machine learning and data mining have helped analyze large-scale medical datasets and facilitate medicinal development through predictive analytics and treatment optimization 8, 9. Furthermore, mathematical models have enhanced medical imaging technologies, improved diagnostic accuracy, and enabled early disease detection 10, 11. However, despite these advancements, the literature also highlights the fragmented nature of research in this field, underscoring the need for comprehensive synthesis to explain mathematics' implications in medicine fully.
The complexity of medical data and systems is continuously increasing 12, presenting a challenge that mathematical methodologies have the potential to address with innovative solutions 13. Mathematics offers promising avenues for revolutionizing multiple facets of medicine 14, from enhancing diagnosis and treatment optimization to deepening our understanding of disease mechanisms 15, 16. However, despite this promise, the current literature on the intersection of mathematics and medicine needs to be more cohesive across various disciplines. This fragmentation complicates efforts to grasp mathematical medical approaches' broad implications and applications fully. As a result, there is a need for a comprehensive synthesis of existing research to understand better the depth and breadth of mathematics' impact on medical frontiers.
The research sought to bridge the gap in understanding the application of mathematics in medicine by synthesizing and integrating findings from diverse research streams. The study aimed to provide a comprehensive exploration of how mathematics influences medical frontiers and to guide future research endeavors in this interdisciplinary field.
The study employed a systematic review approach 17 following the social network analysis (SNA) 18, text mining 19, and content analysis 20 approach to enhance the depth and validity of the findings. By integrating the methodologies, the study aimed to triangulate the available information and gain a comprehensive understanding of the implications of mathematics in medicine. SNA provided insights into relational structures, while Content Analysis facilitated systematic interpretation of textual data, and text mining extracted valuable insights from texts. Figure 1 presents the research design.
The inclusion criteria for the articles in this systematic review study encompass a focus on publications that directly contribute to understanding the application of mathematics in medicine. Included articles must be peer-reviewed journal articles, meta-analyses, systematic reviews, or conference proceedings employing quantitative and qualitative methodologies, mathematical modeling, statistical analyses, systematic reviews, or numerical simulations in the context of medical applications. A temporal consideration will be applied from 2014-2024, preferring recent research unless historical context proves pertinent. Articles must be in English for ease of comprehension and readily accessible in full-text form. There are no specific geographic limitations unless the study concentrates on a region-specific aspect of the application of mathematics in medicine 21, 22, 23.
Conversely, the exclusion criteria involve the omission of articles that need more direct relevance to the integration or application of mathematics in medicine. Non-peer-reviewed sources, books, opinion pieces, letters, and editorials will be excluded, along with studies lacking a clear mathematical or quantitative focus within the context of medical applications. Publications outside the specified time range (2014-2024), those not available in English, inaccessible in full-text form, or with a solid geographic focus that does not contribute to a broader understanding of the subject will be excluded from consideration. These criteria collectively ensure a rigorous selection process, promoting the inclusion of pertinent and high-quality articles for the meta-synthesis study 21, 23, 24.
2.3. Literature SearchThe Crossref database served as the sampling source for this study, adhering strictly to the predefined inclusion and exclusion criteria, resulting in the initial screening of seventeen (17) articles. The researcher reviewed the abstracts of all papers, resorting to full texts when necessary to ascertain the articles' relevance to the study's context and eliminate any duplicate sources. Following the final screening process, six (6) publications were removed from the inclusion in the research corpus. Finally, the final research corpus comprised eleven (11) published studies between the years 2014 to 2024.
2.4. Data AnalysisThe study used a comprehensive examination and integration of findings from the selected studies to explain the overarching role of mathematics in medicine. Thematic analysis 25 was employed to categorize the findings based on recurring themes and concepts from the selected studies 26. A cross-study comparison 27 was conducted to identify similarities and differences in the methodologies and medical applications across the included studies. The comparative analysis 28 facilitated a deeper understanding of the breadth and depth of mathematical contributions to various domains within medicine. The findings from the individual studies were synthesized thematically to construct a cohesive narrative that explicates the role of mathematics in medicine.
The study evaluated eleven (11) articles on the influence of mathematics on the medical field. It followed the inclusion and exclusion criteria formulated in the study to select the eleven (11) articles. The study used the systematic review process to evaluate the eleven (11) articles.
3.1. Overview of the ArticlesTable 1 presents an overview of the different articles used in the study. Additionally, the table depicts the different study objectives, research methodology, and respondents or materials used in the study.
As shown in Table 1, the study evaluated a total of two (2) qualitative articles, six (6) quantitative articles, and three (3) systematic review articles following varied methodologies. A total of eighty-seven (87) participants were declared for the qualitative articles, and a total of two-thousand three-hundred and fifty-three (2353) respondents and four (4) focused group discussions were declared for the quantitative articles. The article that used the systematic review process focused on texts with historical, psychological, and research materials. Moreover, the study objectives of the different articles stated the evaluation of the relationship between the medical field and the mathematical field.
Table 2 presents the summary of the different findings of the articles that were used in the research.
As presented in Table 2, three (3) primary themes can be extracted from the result of the study: Integration and relevance of mathematics in healthcare education; the role of mathematics in advancing healthcare innovation; and motivation and support for mathematics learning in healthcare. The first theme on integration and relevance of mathematics in healthcare education is derived from Art-1, Art-4, Art-9, and Art-11. The theme incorporates the challenges and importance of integrating mathematics into healthcare courses while ensuring its application to real-world medical practice. The theme also highlights the importance of contextualizing mathematics within healthcare to facilitate adequate mastery of mathematical concepts, such as drug dosage calculations and medical imaging.
The second theme of the role of mathematics in advancing healthcare innovation was derived from Art-6. The theme focuses on the essential role of mathematics in driving innovation within the healthcare sector. Additionally, the article explores the potential for integrating emotions and intellect into mathematics education to foster a deeper understanding of mathematical concepts and their applications in healthcare innovation. The third theme on motivation and support for mathematics learning in healthcare was derived from Art-2, Art-3, Art-5, Art-7, Art-8, and Art-10. The theme centers on the motivational factors and support systems necessary for successful mathematics learning in healthcare education. Moreover, the articles' findings highlighted the importance of structured numeracy interventions and academic resilience in reinforcing students' mathematics self-efficacy and overall performance in healthcare education.
3.2. Medical Application and Mathematical Implication of the ArticlesTable 3 summarizes the medical application and mathematical implication of the articles used in the research.
The summary, presented in Table 3, delves into the interconnectedness between medicine and mathematics as portrayed in each of the eleven (11) articles, emphasizing the important role that mathematics plays in various medical fields. The eleven (11) selected articles used in the study form a comprehensive avenue in exploring the varied relationship between the fields of medicine and mathematics cohesively.
The first theme regarding the medical application is the foundational role of mathematics in healthcare professions. The theme is captured in Art-2, Art-4, Art-6, and Art-9, emphasizing the fundamental importance of mathematics in various aspects of the healthcare profession. The theme highlights how mathematical skills are crucial for tasks such as drug calculation, techniques in diagnosing, and compilation of medical reports, showcasing the essential role of mathematics in healthcare practice.
Moreover, the theme underscores how proficiency in mathematics is essential for critical responsibilities like drug calculation, diagnostic procedures, and compiling medical reports 4, 14. By emphasizing the indispensable nature of mathematics in healthcare practice, the theme highlighted the necessity for healthcare professionals to possess strong mathematical skills to ensure accuracy, efficiency, and quality in patient care 29, 30, 31.
The second theme is improving mathematics education for healthcare professionals. The theme is evident in Art-3, Art-5, Art-7, and Art-8, which discussed the need to enhance mathematics education programs for healthcare professionals. It emphasizes the importance of addressing inconsistencies in teaching mathematics, integrating mathematics education with medical practices, and enhancing mathematics self-efficacy among students to better prepare them for the realities of the healthcare workplace.
Moreover, the theme underscores the importance of addressing inconsistencies in mathematics instruction, integrating mathematical concepts with medical practices, and bolstering the confidence and proficiency of healthcare students in mathematics 4, 32, 33. By concentrating on these aspects, the theme emphasizes the importance of aligning mathematics education with the practical demands of the healthcare workplace, eventually leading to better equipping future healthcare professionals with the necessary mathematical skills 1, 34, 35.
The third theme is enhancing patient safety through mathematics proficiency. It arises from Art-4 and Art-8, focusing on the significant impact of poor mathematical skills on nursing students' ability to calculate drug dosages accurately and the potential consequences for patient safety. The articles underscore the importance of ensuring healthcare professionals possess strong mathematics proficiency to mitigate risks and ensure optimal patient care.
Moreover, the theme highlights the adverse effects of inadequate mathematical skills, predominantly in duties like drug dosage calculations, which can directly impact patient outcomes 30. By emphasizing the potential risks that are associated with poor mathematical proficiency, the theme highlights the imperative of ensuring that healthcare professionals possess strong mathematical abilities to mitigate errors, uphold safety standards, and deliver optimal care to patients 1, 16, 33.
The last theme is on research and analytical applications of mathematics in healthcare. It emerges from Art-10 and Art-11, which provide insights into the factors influencing academic success in medical education and emphasize the use of mathematics, specifically probability and statistics. The theme highlights how mathematics is utilized in healthcare research to understand factors influencing health outcomes, morbidity rates, and other important medical phenomena, contributing to advancements in medical knowledge and practice.
The theme underscores how mathematical tools such as probability statistics are integral to understanding complex factors influencing health outcomes and medical phenomena. By emphasizing the use of mathematics in healthcare research, the theme emphasizes its contribution to advancements in medical knowledge and practice, ultimately leading to improved patient care and outcomes 2, 13. Additionally, the theme suggests the importance of integrating mathematical methodologies into healthcare research to gain deeper insights and facilitate evidence-based decision-making in the medical field 36, 37.
The first theme is the importance of mathematics in healthcare education and practice. The theme incorporates Art-1, Art-2, Art-3, and Art-6, emphasizing the critical role of mathematics in various fields in healthcare. The theme highlights how mathematical proficiency is essential for understanding core concepts, performing dosage calculations accurately, and advancing medical technologies.
Moreover, the theme emphasizes the necessity of mathematical proficiency for healthcare professionals to understand core concepts, execute precise dosage calculations, and contribute to advancing medical technologies 14, 38. By highlighting the critical interplay between mathematics and healthcare, the articles stress the importance of integrating mathematical education into healthcare curricula and daily clinical practice, ensuring that professionals are well-equipped to provide safe and effective care while driving innovation in the field 1, 10, 29, 34.
The second theme is educational interventions to enhance mathematical skills. It arises from Art-4, Art-5, Art-7, Art-8, and Art-10 and focuses on recommendations for educational interventions to address mathematical knowledge gaps and improve calculation skills among healthcare students. The theme emphasizes the importance of a structured pedagogical approach and integrated mathematics education to enhance student attitudes, performance, and overall mathematical proficiency.
Moreover, the theme emphasized integrated mathematics education, underscoring the importance of incorporating mathematical concepts into the healthcare curriculum to improve student attitudes, performance, and overall mathematical proficiency 30, 32, 35, 36. The theme highlights the need for targeted interventions, suggesting a proactive approach to enhancing dosage calculation skills among healthcare students, ultimately aiming to prepare them for their professional roles better and ensure optimal patient care and safety 7, 33, 34.
The third theme is relevant mathematical topics in healthcare education. It is reflected in Art-1, Art-9, and Art-11, identifying specific mathematical topics such as logarithms, statistics, ratios, rates, percentages, digital proportions, and numerical calculations as relevant and applicable in healthcare education and practice. The theme underscores the importance of focusing on these topics to ensure that healthcare professionals have the necessary mathematical skills for their respective fields.
Moreover, the theme implies that focusing on these specific mathematical topics is crucial for ensuring healthcare professionals possess the necessary mathematical skills to excel in their respective fields 8, 37. The theme's emphasis on relevant mathematical concepts aligns with the intention to adequately prepare healthcare students to navigate the complexities of calculating dosages, data analysis, and other mathematical aspects inherent in healthcare practice 1, 31, 38.
The last theme is on technological advancements and mathematical innovation in medicine. The theme is evident in Art-6 and Art-11, emphasizing the integral role of mathematics in advancing medicine, mainly through the development of technological innovations. The theme highlights how mathematical principles and numerical calculations contribute to medical discoveries and advancements, driving progress in healthcare.
Moreover, the theme underscores how mathematical principles and numerical calculations contribute to groundbreaking discoveries and advancements in healthcare 14, 37. The theme implies that advancements in medical technology often rely heavily on mathematical innovation, whether in the development of diagnostic tools, treatment modalities, or predictive models 5, 9, 13. The theme highlights this connection, suggesting that continued investment in mathematical research and education is essential for driving further progress and innovation in medicine, ultimately leading to improved patient outcomes and healthcare delivery 2, 3, 4.
The medical application and mathematical implication underscore the vital role of mathematics across various facets of healthcare. Firstly, the articles emphasized the foundational importance of mathematical skills in healthcare, showcasing their indispensability in tasks like drug calculation and diagnostics. Secondly, the articles highlighted the urgent need for improvement in mathematics education programs for healthcare professionals to bridge gaps and better align with the demands of the healthcare workplace. Thirdly, the articles stressed the critical link between mathematics proficiency and patient safety, urging more vital skills to mitigate risks and ensure optimal care delivery. Lastly, the articles illuminated the significance of mathematical research and analytical applications in healthcare, showcasing how mathematical tools drive advancements, deepen understanding, and contribute to evidence-based decision-making in the medical field.
The result of the review of the eleven (11) articles underscores the indispensable role of mathematics in the healthcare professions, emphasizing a profound impact on patient safety, education, research, and analytical endeavors. The articles highlighted the critical need for strong mathematical proficiency among healthcare professionals to ensure accurate calculations, mitigate risks, and enhance patient care. Additionally, the articles stress the importance of improving mathematics education programs to better prepare students for the challenges of the medical workplace. By integrating mathematics with medical practices and fostering mathematics self-efficacy, healthcare professionals can navigate complex tasks with confidence and precision. Furthermore, the articles shed light on how mathematics propels advancements in healthcare research, contributing to improved health outcomes. Overall, the implication of the articles emphasized the transformative potential of mathematics in shaping the future of healthcare, driving innovation, and ultimately enhancing the quality of patient care.
The findings reported in this paper serve as several avenues for further investigation. Primarily, a study could delve into the specific mechanisms by which mathematical principles influence healthcare aspects and propel the development and innovations in medical technology and treatment methodologies. Secondly, a study could explore the effectiveness of different educational interventions to improve mathematical proficiency among healthcare professionals and the subsequent impact on patient outcomes. Thirdly, a study could examine emerging technologies' role, such as artificial intelligence and machine learning, in leveraging mathematical models for personalized healthcare delivery. Lastly, comparative studies across different healthcare systems and regions could help identify best practices for integrating mathematics into medical education and practice.
The researchers would like to extend their sincerest gratitude to Dr. Sol G. Simbulan for her valuable insights and advice for the refinement of this paper.
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Published with license by Science and Education Publishing, Copyright © 2024 Evan P. Taja-on, Dennis B. Roble and Laila S. Lomibao
This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
[1] | Fordham, M (2022, April 10). The Critical Role of Maths in Medicine. www.origoeducation.com.au. https:// www.origoeducation.com.au/blog/the-critical-role-of-maths-in-medicine/. | ||
In article | |||
[2] | Hoppensteadt, F. C., & Peskin, C. S. (2013). “Mathematics in medicine and the life sciences” (Vol. 10). Springer Science & Business Media. | ||
In article | |||
[3] | West, B. J. (2014). “A mathematics for medicine: The Network Effect”. Frontiers in Physiology, 5. | ||
In article | View Article PubMed | ||
[4] | Cockcroft, J., Saigar, M., Dawkins, A., & Rutland, C. S. (2021). “Why Do We Need Maths in Medicine?” Frontiers for Young Minds, 9. | ||
In article | View Article | ||
[5] | Brauer, F., Castillo-Chavez, C., Feng, Z. (2019). “Introduction: A Prelude to Mathematical Epidemiology”. In: Mathematical Models in Epidemiology. Texts in Applied Mathematics, vol 69. Springer, New York, NY. | ||
In article | View Article | ||
[6] | Heesterbeek, H., Anderson, R. M., Andreasen, V., Bansal, S., De Angelis, D., Dye, C., ... & Isaac Newton Institute IDD Collaboration. (2015). “Modeling infectious disease dynamics in the complex landscape of global health”. Science, 347(6227), aaa4339. | ||
In article | View Article PubMed | ||
[7] | Overton, C. E., Stage, H. B., Ahmad, S., Curran-Sebastian, J., Dark, P., Das, R., ... & Webb, L. (2020). “Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example”. Infectious Disease Modelling, 5, 409-441. | ||
In article | View Article PubMed | ||
[8] | Sidey-Gibbons, J. A., & Sidey-Gibbons, C. J. (2019). “Machine learning in medicine: a practical introduction”. BMC medical research methodology, 19, 1-18. | ||
In article | View Article PubMed | ||
[9] | Wu, W. T., Li, Y. J., Feng, A. Z., Li, L., Huang, T., Xu, A. D., & Lyu, J. (2021). “Data mining in clinical big data: the frequently used databases, steps, and methodological models”. Military Medical Research, 8, 1-12. | ||
In article | View Article PubMed | ||
[10] | Umemneku Chikere, C. M., Wilson, K., Graziadio, S., Vale, L., & Allen, A. J. (2019). “Diagnostic test evaluation methodology: a systematic review of methods employed to evaluate diagnostic tests in the absence of gold standard–an update”. PLoS One, 14(10), e0223832. | ||
In article | View Article PubMed | ||
[11] | Zhou, S. K., Greenspan, H., Davatzikos, C., Duncan, J. S., Van Ginneken, B., Madabhushi, A., ... & Summers, R. M. (2021). “A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises”. Proceedings of the IEEE, 109(5), 820-838. | ||
In article | View Article PubMed | ||
[12] | Smith, M., Saunders, R., Stuckhardt, L., McGinnis, J. M., America, C. on the L. H. C. S. in, & Medicine, I. of. (2013). “Imperative: Managing Rapidly Increasing Complexity”. In www.ncbi.nlm.nih.gov. National Academies Press (US). https:// www.ncbi.nlm.nih.gov/books/NBK207221/. | ||
In article | |||
[13] | West, M. (2022). “How is Mathematics Used in Healthcare?” Mathnasium: The Math Learning Center. https:// www. mathnasium.com/math-centers/madisonwest/news/how-math-used-healthcare-mw. | ||
In article | |||
[14] | Zayed, A. I. (2019). “A new perspective on the role of mathematics in medicine”. Journal of Advanced Research, 17, 49–54. | ||
In article | View Article PubMed | ||
[15] | Radomska, A. (2018). “Precision Healthcare: How Maths Can Revolutionize Medicine”. Imperial. https:// www.imperial.ac.uk/ news/188770/precision-healthcare-maths-revolutionise-medicine/. | ||
In article | |||
[16] | Mandrekar S. & Mandrekar, J. (2023). “The Mathematics Behind Medicine”. Futurum. https://futurumcareers.com/the-mathematics-behind-medicine. | ||
In article | View Article | ||
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