Informatics and Evolving Trends in Personalized Medicine

The purpose of this assignment is to examine the importance of informatics and evolving trends in personalized or precision medicine. As a health informaticist, create a 10-slide presentation to your clinical staff discussing the following: 1. Discuss the role of personalized or precision medicine and the advantages and disadvantages of personalized or precision medicine in the delivery of health care. 2. Discuss how the fields of personalized or precision medicine and informatics have mutually affected one another. 3. Discuss the importance of creating personalized or precision medicine applications that collect accurate data and how those data are communicated to various locations and providers. 4. Describe how personalized or precision medicine supports the aging population and population heath. 5. Describe current gaps and challenges in personalized or precision medicine and informatics. How could the future of health informatics evolve over time to respond to those gaps?

Informatics and Evolving
Trends in Personalized
Medicine
Student’s Details-

Introduction
• Precision or personalized medicine is considered as new frontier
in healthcare that combines the big data and population health.
• Precision medicine is the approach to be used as a
individualized treatments.
• As per Precision Medicine Initiative, personalized medicine is
provided according to the lifestyle and genetical factors of each
individual(Bresnick, 2018).

Advantages of Personalized
Medicine
• As the diseases are influenced by several factors, treatment through the
individual characteristics is crucial.
• It allows healthcare through increasing the efficiency of care(Green,
Carusi, & Hoeyer, 2019).
• Personalized can be helpful in the undertaking of preventive care.
• It involves minimum cost.

Disadvantages of Personalized
Medicine
• Personalized medicine can be disadvantageous when the data is not
interpreted properly.
• Also, it requires infrastructure for the implementation and
mechanism of data collection(Adams & Petersen, 2016).
• Not only misinterpretation, irrelevancy of data collected can increase
the tendency of causing severe damage to the health of patients.

Informatics and Precision
Medicine
• Informatics provides the genomic tests results for the clinicians that can
be used for the clinical workflow.
• Both the terms informatics and precision medicine are mutually
dependent as informatics provides the relevancy of clinical data.
• Further, informatics provide the access to the decision-making process
under the healthcare setting(USF Health, 2020)
• .

Personalized and Precision
Application
• Personalized and precision applications are used for the collection
of data and maintaining the accuracy of the data being collected.
• These applications have been emerged due to the technological
improvements that facilitate more understanding of the diseases.
• The accuracy of data is maintained by the applications which can
improve the patient outcomes(Johnson, et al., 2020).

Continue
• Personalized or precision applications are particularly created
and managed for the communication of required information.
• The data and information regarding the diseases or the genetic
results can easily be communicated.
• These applications have a major role in the communication of
information over different locations(USF Health, 2020).

Supporting Aging Population
• Personalized medicine supports the aging population in which it
provides the individual based information to the clinicians.
• It can provide the details in a more concise way that can improve the
health delivery of aging population.
• This is based on the unique genetical makeup of the patient in which
the patient can get the right care and treatment(Müllers, Taubert, &
Müller, 2019).

Supporting Population Health
• Personalized or precision medicine facilitates supports population
health targeting the public health.
• Precision medicine can provide the support to the population in which
the disease prevention program can be managed.
• Further, it facilitates the open communication of the relevant data
within the healthcare setting which can improve the health of
population(Lyles, Lunn, Obedin-Maliver, & Bibbins-Domingo, 2018).

Challenges in Personalized Medicine
and Informatics
• The challenges of informatics and the personalized medicine is the
lack of information which can adversely affect the health.
• Due to the misinterpretation of results of genomic testing, it has
become difficult for the clinicians to make decision.
• The gap include the lack of technical infrastructure which has
stopped the informatics and the precision of data(Adams & Petersen,
2016).

Conclusion
• To conclude, it can be said that the precision medicine can provide
the ways for improving the clinical outcomes.
• It provides the accurate data as per the individual characteristics of
patients through informatics that can later be used for the clinical
efficiency.
• Also, the challenges of the personalized medicine can be avoided
through the informed approach.

References
• Adams, S., & Petersen, C. (2016). Precision medicine: opportunities, possibilities, and challenges for
patients and providers. Journal of the American Medical Informatics Association, 23(4), 787-790.
• Bilkey, G., Burns, B., Coles, E., Mahede, T., Baynam, G., & Nowak, K. (2019). Optimizing precision
medicine for public health. Frontiers in public health, 7.
• Bresnick, J. (2018, January 11). What Are Precision Medicine and Personalized Medicine? Retrieved
February 19, 2020, from Health IT Analytics: https://healthitanalytics.com/features/what-are-precision-
medicine-and-personalized-medicine
• Dekaris, I., Tominac-Trcin, M., Gabrić, N., Mijović, B., & Pašalić, A. (2019). Personalized Medicine in
Ophthalmology: Treatment of Total Limbal Stem Cell Deficiency with Autologous Ex Vivo Cultivated
Limbal Epithelial Stem Cell Graft. In Personalized Medicine in Healthcare Systems (pp. 295-305).
Springer.
• Ginsburg, G., & Phillips, K. (2018). Precision medicine: from science to value. Health Affairs, 37(5),
694-701.
• Green, S., Carusi, A., & Hoeyer, K. (2019). Plastic diagnostics: The remaking of disease and evidence
in personalized medicine. Social Science & Medicine, 112318.

Continue
• Johnson, S., Jacobson, P., Wolf, S., Sinha, K., Yee, D., & Aliferis, C. (2020). Generalizable
Architectures and Principles of Informatics for Scalable Personalized and Precision Medicine (PPM)
Decision Support. In Personalized and Precision Medicine Informatics (pp. 277-303). Springer.
• Lyles, C., Lunn, M., Obedin-Maliver, J., & Bibbins-Domingo, K. (2018). The new era of precision
population health: insights for the All of Us Research Program and beyond. Journal of translational
medicine, 16(1), 211.
• Müllers, P., Taubert, M., & Müller, N. (2019). Physical exercise as personalized medicine for
dementia prevention? Frontiers in physiology, 10.
• Pritchard, D., Moeckel, F., Villa, M., Housman, L., McCarty, C., & McLeod, H. (2017). Strategies for
integrating personalized medicine into healthcare practice. Personalized medicine, 14(2), 141-152.
• Strafella, C., Caputo, V., Galota, M., Zampatti, S., Marella, G., Mauriello, S., & Giardina, E. (2018).
Application of precision medicine in neurodegenerative diseases. Frontiers in neurology, 9, 701.
• USF Health. (2020, Janurary 1). The Role of Health Informatics in Precision Medicine. Retrieved
February 19, 2020, from USF Health: https://www.usfhealthonline.com/resources/key-concepts/the-
role-of-health-informatics-in-precision-medicine/

Thank You!