Replies for peers. Need ONE Response Per Each Discussion Total 6 Responses. Attached Are The Discussions And Rubric Please Follow Them. Posts Will Be A Minimum Of 100 Words, APA Format.One Reference Per Each Discussion
Yindra Burgos Farah
Health informatics refers to a multidisciplinary field that utilizes health information technology to enhance healthcare through combining higher efficiency, higher quality and new opportunities. It comprises dealing with devices, resources and strategies for optimizing the acquisition, retrieval, storage and utilization of data in healthcare (Bar-Hen et al., 2016). Its tools are clinical guidelines, computers, formal information and terminologies and communication systems. Generally, healthcare informatics is how software systems can enhance health and inhibit disease through making knowledge and information available to clinicians, patients and all people that health systems in population health.
Applied research encompasses introducing software into real-world situations and analyzing its effect on decisions and results in healthcare informatics. Applied research in epidemiology constitutes the administration of clinical attempts and examining information to produce known knowledge to enlighten clinical practice. The extensive transmission of infectious illness through vast populations and areas is a hugely complex phenomenon whereby good information is hard to acquire (Bar-Hen et al., 2016). Computational Epidemiology targets to handle that challenge by utilizing computer-based simulation models and benefitting from the propagation of mobile technologies such as smartphones to gather the information relevant to public health. By utilizing such tools, the lab will increase the comprehension of health policy tradeoffs and enhance public health results on a vast population scale.
Utilizing information technology to get, manage, examine and share data is a central public health informatics capacity Public health informatics promotes health promotion and disease prevention through leveraging health information technology solutions, thus allowing environmental health programs to obtain public health objectives more efficiently, inexpensively and effectively (Grant et al., 2022). Accurate and reliable information technology is vital for monitoring health and analyzing and enhancing public health delivery practice. Public health informatics has enabled programs to be effective and to develop through availing reliable and timely info to create informative decisions, improve tools to examine and improve data and enhance communication.
References
Bar-Hen, A., Paragios, N., & Flahault, A. (2016). Public Health and Epidemiology Informatics. Yearbook of Medical Informatics, 25(1): 240-246.
Grant, A., Niyonsenga, T., & Bernier, R. (2022). The Role of Medical Informatics in Health Promotion and Disease Prevention. Research Portal. Retrieved from https://researchprofiles.canberra.edu.au/en/publications/the-role-of-medical-informatics-in-health-promotion-and-disease.
Inalvis Diaz
Healthcare informatics impacts epidemiology and health promotion since syndromic surveillance has been used to target investigations of potential infectious cases ,its use to detect possible outbreaks associated with bioterrorism is increasingly being explored by public health official .Early detection of possible outbreaks can be achieved through timely and complete receipt ,review and investigation of disease case reports by improving the ability to recognize patterns in data that may be indicative of a possible outbreak early in its course Informatics tools are becoming increasingly important in these public health efforts. One of the most valuable resources to be tapped is the diverse population of public health professionals (formally trained or not) who have already made informatics a priority in their work. These include staff at CDC and other federal agencies; state and local health departments, members of the Public Health Data Standards Consortium and informatics leaders in several public health associations, workers from all walks of public health life who attend Public Health Information Network meetings, university scholars of public health informatics, and staffs of nonprofit organizations like the Public Health Informatics Institute. Representatives of these groups come together to harmonize an ongoing agenda for public health informatics at the Joint Public Health Informatics Taskforce, a coordinating body of several associations (9). By educating leaders and peers, testing innovations, and disseminating lessons learned, these persons and agencies are improving public health surveillance (and ultimately health outcomes) by reducing costs, bridging silos, and improving access to timely, quality information.
References:
Centers for Medicare and Medicaid Services. Meaningful use resources. Available at http://healthit.hhs.gov/portal/server.pt/community/healthit_hhs_gov_meaningful_use_announcement/2996. Accessed March 20, 2012.
U.S. Department of Health and Human Services. Program of assistance for university-based training. Accessed March 20, 2012. Available at http://healthit.hhs.gov/portal/server.pt/community/healthit_hhs_gov_university-based_training_program/1808.
Howe J. Crowdsourcing: Why the power of the crowd is driving the future of business. Crown Business; 2008.
Yindra Burgos Farah
15 hours ago, at 5:46 PM
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A qualitative study is a research method involving data collection, data analysis and its interpretation. It is a study geared towards their understanding of individual subjective perceptions to give meaning to social reality in the real world. In a qualitative study, data is collected through observation and interviews.
The Advantage of qualitative study is that it is not bound to limitations of quantitative research. Qualitative study is flexible due to its adaptability. It is also speculating because it allows for instincts (Vaughan, 2020). In the same way, qualitative study has its demerits. One disadvantage is that it suffers from the issue of big sampling sizes, and it is always prone to sample bias. Another demerit is that qualitative study is always time-consuming, and researchers' influence sometimes might compromise data (Gaille, 2017), making it unacceptable.
Examples of a qualitative study are the grounded theory which involves data collection, and phenomenology study, which analyses events and activities as they transpire. I would use a qualitative test to determine the effectiveness of my health promotion initiative. This is because my qualitative study would allow me to get a natural approach to the subject matter; the health promotion initiative. With this, I can understand what a line believes and opinions from different people regarding their perspectives on the initiative. I can get their stand, attitude and acceptance complex. This would allow for room for improvement in instances where negative implications exist.
References
Vaughan, T. (2020, May 8). 10 Advantages and Disadvantages of Qualitative Research. Poppulo. Retrieved March 14, 2022, from https://www.poppulo.com/blog/10-advantages-and-disadvantages-of-qualitative-research
Gaille, L. (2017, May 17). 23 advantages and disadvantages of qualitative research. Vittana.org. https://vittana.org/23-advantages-and-disadvantages-of-qualitative-research .
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Wendy Cotelo Lopez
3/14/22, 3:10 PM
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Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research.
Pros of Qualitative Study:
1. Qualitative Research can capture changing attitudes within a target group such as consumers of a product or service, or attitudes in the workplace.
2. Qualitative approaches to research are not bound by the limitations of quantitative methods. If responses don’t fit the researcher’s expectation that’s equally useful qualitative data to add context and perhaps explain something that numbers alone are unable to reveal.
3. Qualitative Research provides a much more flexible approach. If useful insights are not being captured researchers can quickly adapt questions, change the setting or any other variable to improve responses.
Cons of Qualitative Study:
1. Sample size can be a big issue. If you seek to infer from a sample of, for example, 200 employees, based upon a sample of 5 employees, this raises the question of whether sampling will provide a true reflection of the views of the remaining 97.5% of the company?
2. Sample bias - HR departments will have competing agendas. One argument against qualitative methods alone is that HR tasked with finding the views of the workforce may be influenced both consciously or unconsciously, to select a sample that favors an anticipated outcome.
3. Self-selection bias may arise where companies ask staff to volunteer their views. Whether in a paper, online survey, or focus group, if an HR department calls for participants there will be the issue of staff putting themselves forward.
A good example of a qualitative research method would be unstructured interviews which generate qualitative data through the use of open questions. This allows the respondent to talk in some depth, choosing their own words. This helps the researcher develop a real sense of a person's understanding of a situation.
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Inalvis Diaz
Value-based care is a form of reimbursement that ties payments for care delivery to the quality of care provided and rewards providers for both efficiency and effectiveness. This form of reimbursement has emerged as an alternative and potential replacement for fee-for-service reimbursement, which pays providers retrospectively for services delivered based on bill charges or annual fee schedules. In more basic terms, value-based care models center on patient outcomes and how well healthcare providers can improve quality of care based on specific measures, such as reducing hospital readmissions, using certified health IT, and improving preventative care. Nurses have a rich history of innovative care models that speak to their potential centrality in delivery system reforms. However, deficits in terms of educational preparation, and in some cases resistance, to considering cost alongside quality, has hindered the profession's contribution to the conversation about value-based payments and their implications for system change. Addressing this deficit will allow nurses to more fully engage in redesigning health care to better serve the physical, emotional, and economic well-being of this nation. It also has the potential to unleash nurses from the tethers of a fee-for-service system where they have been relegated to a labor cost and firmly locate nurses in a value-generating role. Nurse administrators and educators bear the responsibility for preparing nurses for this next chapter of nursing.
References :
Martin, A. B., Hartman, M., Lassman, D., Catlin, A., & National Health Expenditure Accounts, T. (2021). National Health Care Spending In 2019: Steady Growth For The Fourth Consecutive Year. Health Aff (Millwood), 40(1), 14-24. doi:10.1377/hlthaff.2020.02022
Claxton, G., Damico, A., Rae, M., Young, G., McDermott, D., & Whitmore, H. (2020). Health Benefits In 2020: Premiums In Employer-Sponsored Plans Grow 4 Percent; Employers Consider Responses To Pandemic. Health Aff (Millwood), 39(11), 2018-2028. doi:10.1377/hlthaff.2020.01569
Gooch K. Record number of healthcare workers laid off, furloughed during pandemic. Becker's Hospital Review. https://www.beckershospitalreview.com/workforce/record-number-of-healthc.... Published June 5, 2020. Accessed
Mayra Oliva Rivero
Epidemiology
Example of Fee-For-Service Type of Care Delivery Service
Office visits and tests are examples of fee-for-service payment models. Fee-for-service payment type of care delivery means that patients pay for each medical service offered at the agreed rates. The healthcare provider gets paid to render services to patients. Physicians get paid basing on number of patients attended and not capacity of services they prescribe (Ding & Liu, 2021). One must pay after visiting the physician for consultation. Similarly, fee payment also accompanies a test to diagnose sickness.
Benefits of Coordinated Care Models from Patients’ Perspective
One of the benefits of the coordinated care models is improved patient satisfaction. Care models have advanced on ways to satisfy the patients in terms of needs attendance. The satisfaction has caused a reduction in complaints from the patients. Another benefit is the improvement in the quality of managing chronic diseases. Patients benefit from care model since it is coordinated to raise treatment results then improving care quality (Palmer et al., 2018). Due to coordination on care models, progress has occurred to manage Chronic diseases poorly managed. Again, access to better exceptional care eased. Special care has been made accessible to everyone, and their conditions improved. Reduction in hospital admissions is also a benefit of coordinated models.
Pitfalls of Coordinated Care Models from Patient’s Perspective
The care models also have some pitfalls like poor communication of patients with specialists or other healthcare professionals (Gallacher et al., 2018). Interaction of patients with clinicians and other healthcare workers may be flawed. A misunderstanding may arise between the patient and health professionals. Insufficient resources in coordinated care models are also a challenge. Healthcare facilities may be lacking some resources needed for patient treatment. Resources like drugs, laboratory testing tools, professional workers, and wards may be inadequate in care models. The situation affects patients significantly since attaining their health condition was hindered. In addition, the high cost of treatment is a challenge to patients. Patients paying for every treatment is costly, especially to chronic diseases. The medical expenses will finally make patients not seek treatment when a financial problem arises.
References
Ding, Y., & Liu, C. (2021). Alternative payment models and physician treatment decisions: Evidence from lower back pain. Journal of Health Economics, 80, 102548.
Gallacher, K. I., May, C. R., Langhorne, P., & Mair, F. S. (2018). A conceptual model of treatment burden and patient capacity in stroke. BMC family practice, 19(1), 1-15.
Palmer, K., Marengoni, A., Forjaz, M. J., Jureviciene, E., Laatikainen, T., Mammarella, F., ... & Onder, G. (2018). Multimorbidity care model: recommendations from the consensus meeting of the joint action on chronic diseases and promoting healthy ageing across the life cycle (JA-CHRODIS). Health Policy, 122(1), 4-11.