UOP Health Informatics Educational Presentation

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.

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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.

  • 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
    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

    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
    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
    Population Health
    Natesha Finch
    HIA601 Foundations in Health
    Instructor: Dr. Lynn Anidi
    April 18th,2022
    Role of Informatics in population
    ➢ 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
    Dr. John Snow’s contribution to
    public health informatics models
    ➢ Dr. John Snow is an accomplished
    physician and the father of modern
    ➢ 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
    Decision Making Issues
    Center of Disease Control
    ➢ Confronts global disease threats.
    ➢ Tracking and preventing
    diseases at the international
    ➢ Promotion of healthy and safe
    behaviors in different
    Local State and Health
    ➢ Provision of oversight to the
    public health of the
    ➢ 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.
    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
     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
     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
     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
     Reduced potential for medical
    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.
     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
     Clinical informatics conforms to the technological era.
     Clinical informatics enhances the utility that patients obtain from health services.
    Evans, N., & Owolabi, K. (2018). Clinical informatics tools for healthcare quality
    improvement: a literature review. Inkanyiso, 10(1), 74-89.
    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.
    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.
    Coiera, E. (2015). Guide to health informatics (3rd ed.). Retrieved from
    Translational Bioinformatics
    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
    • 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
    • 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
    The Role of Precision Medicine and Its
    • 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.
    • Chen, J. et al. (2013). Translational biomedical informatics in the cloud:
    Present and future. Biomedical Research International.
    • Coiera, E. (2015). Guide to health informatics (3rd ed.). Retrieved from

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