UOP Health Informatics Educational Presentation

Description

For this Final Presentation, you will build upon the work you finished in Weeks 2 through 5 and complete the preparation of an educational PowerPoint presentation on The Five Pillars of Health Informatics: consumer informatics, population informatics, clinical informatics, translational bioinformatics, and clinical research informatics. The presentation is meant to provide information on each of the pillars of health informatics to a health care organization’s administration so that they will have a better understanding of what each pillar is and how they are interrelated with a health care organization’s mission and goals.
Review and incorporate your instructor feedback on each of the components (clinical informatics, population informatics, consumer informatics, and translational bioinformatics) you developed in the previous weeks, and combine all the individual sections into your final Health Informatics Educational Presentation. The sections from the previous weeks are listed below for your convenience.
Week 2: Consumer Informatics
Week 3: Population Informatics

Week 4: Clinical Informatics
Week 5: Translational Bioinformatics
Once you have revised and moved all these relevant sections into your combined PowerPoint, complete the final section on the clinical research informatics pillar. Clinical research informatics and translational bioinformatics are the primary areas to support translational research.
Create the final section of your PowerPoint presentation on clinical research informatics with speaker notes that critically address each of the following elements. (Remember that your presentation slides should have short, bullet-pointed text with your speaker notes including the bulk of the information provided in the following list.)

Compare and contrast evidence-based medicine and personalized medicine.
Describe a minimum of three ethical considerations in personalized medicine.
Summarize the Genetic Information and Nondiscrimination Act

Evaluate a minimum of two barriers of personalized medicine.
You may wish to include visual enhancements in your presentation. These may include appropriate images, a consistent font, appropriate animations, and transitions from content piece to content piece and slide to slide. Images should be cited in APA format as outlined by the APA Key Elements (Links to an external site.). It is recommended that you access Garr Reynolds’ Top Ten Slide Tips (Links to an external site.) and Simple Rules for Better PowerPoint Presentations (Links to an external site.), which provide useful assistance with creating successful PowerPoint presentations.

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Tools or systems that are primarily responsible for
interacting with health information users or health
information consumers.
It is also explained as a system where information or
other related benefits can be used while assisted by a
health worker professional.



Patients collaborate effectively to provide useful
information required in the formulation of health
resources useful in consumer informatics.
Patients participate in the building of consumer
informatics records.
Patients can also help in maintaining consumer
informatics by providing relevant updates.



Provision of necessary peer information exchange to
other consumers within the consumer informatics
program.
May help in the promotion of best practices involving
the use of consumer informatics.
May play a role in the advertisement of the need for
health safety practices when it comes to consumer
informatics.


Caregivers provides relevant information regarding the care
for patients.
They might help in the response of critical issues involving
care given to the patients.
Fig 1: A health worker operating a machine used in
healthcare. (health informatics pictures – Google
Search, 2022)



Provide electronic information tools relevant to the
consumer informatics resource building.
Provide the skills for operating the information tools in
consumer informatics.
Provides support to consumers for the procedures of
working with a consumer informatics program.



Health literacy is the extent to which a person is in a
position to understand basic health information and
processes.
Health literacy provides the basic knowledge of
understanding consumer informatics.
Health literacy gives insights of the advantages that are
involved in the use of consumer informatics thereby
attracting possible users.





Improving the process of accessing patient’s data
Helping in the management of prescriptions.
Improvement of scheduling of patient appointments.
Providing access to patients remotely.
Reducing the time required to pull charts involving
patients data.


Participatory healthcare informatics creates awareness
about the advantages of using patient-centered models
of care.
Participatory healthcare informatics help in the
provision of the necessary information required for the
patient-centered models of care operations.



Smartphone application is used as a consumer informatics
application in phones.
Patient portals are websites for personal health records
which are used from a website.
Fig 2 An illustration of the difference between health care
informatics and health information management. (“Health
Informatics vs. Health Information Management: Key
Differences and Similarities”, 2022)



Google.com. 2022. health informatics pictures – Google Search. [online] Available at:
[Accessed 12 April 2022].
Health Informatics vs. Health Information Management: Key Differences and Similarities. University of
San Diego Online Degrees. (2022). Retrieved 12 April 2022, from
https://onlinedegrees.sandiego.edu/health-information-management-vs-health-informatics/.
https://pubmed.ncbi.nlm.nih.gov/26311198/
Population Health
Informatics
Natesha Finch
HIA601 Foundations in Health
Informatics
Instructor: Dr. Lynn Anidi
April 18th,2022
Role of Informatics in population
health
➢ Planning and System Design- Through informatics, a set of methods,
principles and tools are applied in information system design.
➢ Data collection and storage- Electronic data sources are the basis of the
data collected in a population (Vogel, 2014).
➢ Data modelling and analysis- Signal processing and detection, pattern
record, machine learning and statistical methods are applied in analysis
of population surveillance (Piltch, 2018).
➢ Communication- Informatics plays a role in the development of welldesigned communication systems to the public (Giustini, 2018).
Evidence-based Healthcare and
Population Informatics
➢ The integration of Evidence-Based practice and Informatics has
improved healthcare delivery.
➢ Through informatics, the concerns of patients are able to reach to
their health care providers (Williams, 2019).
➢ Medical professionals take concerns into consideration and come
up with appropriate treatment plans.
➢ Health care providers improve experience of their care and
promote the health of populations.
Bio surveillance and infection outbreak
response rely on multiple communication
flows
Dr. John Snow’s contribution to
public health informatics models
➢ Dr. John Snow is an accomplished
physician and the father of modern
epidemiology.
➢ He is known for identifying the outbreak
of cholera.
➢ Snow influenced changes in public
health through the adoption of various
models in the collection of data.
➢ He made use of dot maps and recorded
cluster to help track a disease back to its
source.
Decision Making Issues
Center of Disease Control
➢ Confronts global disease threats.
➢ Tracking and preventing
diseases at the international
level.
➢ Promotion of healthy and safe
behaviors in different
populations.
Local State and Health
Departments
➢ Provision of oversight to the
public health of the
population.
➢ Carrying out disease
surveillance and control
➢ Implementation of health
care reforms.
➢ Provision of healthcare
prevention services.
Flow of Information between CDC and
Local and State Health Departments.
References
Gamache, R., Kharrazi, H., & Weiner, J. P. (2018). Public and population health informatics: the bridging of big data to
benefit communities. Yearbook of medical informatics, 27(01), 199-206.
Giustini, D., Ali, S. M., Fraser, M., & Boulos, M. N. K. (2018). Effective uses of social media in public health and medicine:
a systematic review of systematic reviews. Online journal of public health informatics, 10(2).
Piltch-Loeb, R., Kraemer, J., Lin, K. W., & Stoto, M. A. (2018). Public health surveillance for Zika virus: data interpretation
and report validity. American journal of public health, 108(10), 1358-1362.
Vogel, J., Brown, J. S., Land, T., Platt, R., & Klompas, M. (2014). MDPHnet: secure, distributed sharing of electronic health
record data for public health surveillance, evaluation, and planning. American journal of public health, 104(12), 22652270.
Williams, F., Oke, A., & Zachary, I. (2019). Public health delivery in the information age: the role of informatics and
technology. Perspectives in public health, 139(5), 236-254.
Coiera, E. (2015). Guide to health informatics (3rd ed.). Retrieved from https://www.vitalsource.com
Summary of Framework of the Clinical
Informatics.
 Electronic health records
 Personal health records
 Computerized physician order entry.
Figure 1: Clinical Informatics
Current State of Research for Each Selected
Area of Study in Clinical Informatics.
 Electronic health records provide international standards for interoperable application.
 Personal health records evolved to enhance collaboration between the medical and IT
industries.
 Computerized physician order has evolved to the approach of disseminating
medication, laboratory, and radiology orders through a computer application rather
than paper, fax, or telephone.
Comparison and Contrast in Clinical Informatics
Changes in the Practice of Medicine.
 Advanced medical technology that improves medical procedures.
 Data recording tactics.
 Treatment planning.
 The communication practices of health care professionals.
Impact of Automated Interpretation of Data and
Control Systems
Figure 2; Automated Data and Control
System
 Patient billing and scheduling that
has enabled the delivery of care to
be cost-effective.
 Staff support through evidence and
health data.
 Patient communications and
feedback prompt to evaluate health
outcomes.
 Reduced potential for medical
errors.
Potential Impact of the Clinical Informatics Areas to
Healthcare Delivery and Medical Care Costs
 Improves patient satisfaction.
 Ease into healthcare workers’ workload.
 Collaboration and coordination among healthcare providers.
 Streamlining medical quality assurance processes.
 Improving cost-efficiency in healthcare delivery.
 Increase accuracy and efficiency in practice management.
Conclusion
 Clinical informatics is a broad subject that collaborates the use of technology and
medical delivery approaches.
 Clinical informatics enables healthcare providers to be effective in their service
delivery.
 Clinical informatics conforms to the technological era.
 Clinical informatics enhances the utility that patients obtain from health services.
References
Evans, N., & Owolabi, K. (2018). Clinical informatics tools for healthcare quality
improvement: a literature review. Inkanyiso, 10(1), 74-89.
https://journals.co.za/doi/pdf/10.10520/EJC-13d7cbe1cb
Kannry, J., Smith, J., Mohan, V., Levy, B., Finnell, J., & Lehmann, C. U. (2020).
Policy statement on clinical informatics fellowships and the future of informaticsdriven medicine. Applied Clinical Informatics, 11(05), 710-713.
https://www.ncbi.nlm.nih.gov/pmc/articles/pmc7593113/
Scott, P. J., Dunscombe, R., Evans, D., Mukherjee, M., & Wyatt, J. C. (2018).
Learning health systems need to bridge the’two cultures’ of clinical informatics and
data science. Journal of innovation in health informatics, 25(2), 126-131.
https://eprints.soton.ac.uk/424816/1/1062_3506_1_PB.pdf
Coiera, E. (2015). Guide to health informatics (3rd ed.). Retrieved from
https://www.vitalsource.com
Translational Bioinformatics
Presentation
Natesha Finch
HIA601 Foundations in Health Informatics
Instructor: Lynn Anidi
Date: 5-02-2022
The Human Genome Project
• Genomics refers to the study of the DNA
sequence of genes and their variations
among individuals (Chapter 30)
• The human genome project focuses on
studying human’s DNA, which is essential
for disease management
• It has led to new ways of carrying out
therapies
• However, the project faces the danger of
computational triumphalism
The Role of Genome Mapping in the Cause
and Prevention of One Disease
• Genome mapping refers to the use of genetic techniques to
construct maps that show the position of genes and other
features in a genome (Chapter 30)
• Genome mapping has been essential in disease management since
it promotes genetic sequencing
• Genetic sequencing helps to identify unknown sequences
obtained from patients
The Role of Genome Mapping in the Cause
and Prevention of One Disease Cont’d
• Through computational methods,
scientists are able to understand how
changes occur from one gene to another
and how the gene influences biological
processes
• The scientists then collect clinical
(phenotypic) data that measures human
disease states.
• They then correlate these biological and
phenotypic data sets, to identify important
causal associations.
How Bioinformatics Will Alter the Path of
Health Informatics
• Bioinformatics entails applying computational
approaches to the analysis of massive data from
genomics, metabolomics and other fields
• Currently, bioinformatics is pushing for
personalized disease treatment characterized by
seamless integration of data from multiple levels
of investigation (Chen et al., 2013).
• Bioinformatics will alter the path of health
informatics by seamlessly integrating health
information components that traditionally worked
independently
The Role of Precision Medicine and Its
Funding
• Precision medicine is an emerging approach for disease treatment
and prevention
• It is a disease treatment approach that takes into account
individual variability in genes, environment and lifestyle
• However, the approach requires organized funding to overcome
data transfer bottlenecks.
References
• Chen, J. et al. (2013). Translational biomedical informatics in the cloud:
Present and future. Biomedical Research International.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3613081/pdf/BMRI2013
-658925.pdf
• Coiera, E. (2015). Guide to health informatics (3rd ed.). Retrieved from
https://www.vitalsource.com

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