Public and population health informatics:

Introduction

It was  not challenging to locate the article because I had a specific keyword, “public health informatics.” I went to the PubMed website and searched the keyword, which gave me a list of 40,315 articles. The article was the seventh in the list of results. The article is available from other keywords, such as “social determinants of health.” However, I got several lists of articles when I used the keyword “public health” and “population health. I chose the topic because I am interested in analyzing how IT infrastructure is used in healthcare. The article addresses health informatics problems because it talks about the use of bid data information to improve the overall health of communities. The research study will recognize the risk factors that are non-clinical and avoid adverse health outcomes. It will also sustain personal and the wellbeing of the community.

Article Summary

The article addresses the topic “bridging” that widely affects the healthcare sector. For several years now, health-related digital data is being collected around the world. The objective is to serve medical providers, health insurance billings, and regulatory reporting. Public health officials are concerned with systems to manage communicable diseases and other events. The article About how creating and sharing digital information has become more comfortable with the use of informatics and big data tools by public health agencies and healthcare providers (Gamache, Kharrazi & Weiner 2018). Big data are bridged to benefit the communities by identifying, monitoring, and improving a variety of health, social, and environmental factors related to the community’s health (Dixon B E, 2015). The public has seen considerable growth in the sharing of information and analytic activities within the population health. Big data collection has been implemented in bid countries such as the United States and the United Kingdom. The construction of data systems and the sharing of data is aimed at improving the overall health of communities.

Findings

Challenges in implementing the research study

Some of the articles acquired from the field of health care delivery are not in use. The report only focuses on the newly published literature, mainly the population and public health basing on an informatics theme(Gamache, Kharrazi & Weiner 2018). The research does not include articles not found in PubMed or not written in English. There are some pieces without abstracts, keywords, and citations; hence they are added manually. Therefore, these pieces cannot be accessed by public health workers since they only appear in policy statements and white papers not indexed in the PubMed website. Lastly, only positive results achieved focused on peer-reviewed articles (Kharrazi, 2014).

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Effects of the results

The leadership in the public health system has an excellent chance to increase the business case on the information system of the public and population health in the community. The availability of new sources of data has improved due to public health informatics. The need for public health to collect, clean, and authenticate data has decreased due to suitable and reliable access to data sources of health. (Massoudi, 2017). Therefore, the results from the research can lead to the solution to the identified problem.

Research implementation

The research has put in order the data sources, data sharing, and infrastructure among the health of the population, the health of the public, and the social services entities. The increase in ways of sharing data has led to increased sharing of data among the healthcare givers and the departments of public health. The research is ready for implementation due to the positive impacts on the health of the public and the population at large (Clark, 2017). The health informaticist helps in this research by ensuring accurate and reliable information is accessed easily by the health care providers and the general public. The research study is suitable for implementation in a similar setting because all the research results are centered around healthcare and population.

Big data is associated with modern IT systems. Implementation of the research relates to people in the discipline of medicine, Information technology, computer technology, and Health informatics (Gamache, Kharrazi & Weiner 2018). The various disciplines will ensure that the infrastructure is laid correctly to serve the heath’s population and communities. The work of the health informaticists in the implementation is to organize and analyze health records in the system. They are concerned with the methods of acquiring, recording, and retrieving health information from the public to be used in helping the communities. The process of implementation is long and might come with several challenges. First, it is a big challenge to put together all the disciplines involved in the implementation. Secondly, it is costly to put together the resources required in the initial stage of the implementation. Lastly, health informaticists will need to collect several data related to the health of the population, which might take a long period of time.

Quadruple aim of health

The quadruple aim of health care aims at providing better health, better care, and lowering the cost of health care. Some organizations have put the Quadruplet aim attaining joy in work, and others use pursuing health equity (Bodenheimer, 2014). This research has addressed the quadruple aim of health care by providing easily accessible sources of information to the health care providers and the public. It has also embedded patients as partners and ease the work of being a clinician. The research talks about how exactly the system can be implemented hence avoiding unnecessary costs but still providing the best quality in healthcare.

Conclusion

All partners of health informatics and the data available in the electronic devices provide timely, reliable, and actionable information that informs and improve value to the different individuals providing the data. The various groups include public health workers and the population. The network used in sharing data is transparent on how information is protected, collated, and shared amongst the members of health care and the public. The joining of big data to support the communities helps to address the need for public health. It does this by identifying, monitoring, and improving the series of health, social, and environmental factors related to the health of the population (Bakota, 2016).

The efforts by the health informaticist will one day yield a considerable growth in a large population regarding information. The new regulatory and financial infrastructures have improved attention in the health care providers in a society. It has led to a decrease in avoidable health expenses and readmissions (DeSalvo, 2016). The incentives are catalyzing the development of organizations amongst the social service, public health agencies, and health care providers. An improved joining of administrative, medical, social service, and public health data systems leads to an utterly united health population informatics infrastructure.

References

Bakota, E. A. (2016). Investigating informatics activity, control, and training needs in large, medium, and small health departments. Journal of Public Health Management and Practice, 63.

Bodenheimer, T. &. (2014). From triple to quadruple aim: care of the patient requires the attention of the provider. The Annals of Family Medicine, 573-576.

Clark, D. K. (2017). Linking routinely collected social work, education, and health data to enable monitoring of the health and health care of school-aged children in state care (‘looked after children’) in Scotland: a national demonstration project. Public health, 101-111.

DeSalvo, K. &. (2016). Health informatics in the Public Health 3.0 era: intelligence for the chief health strategists. Journal of Public Health Management and Practice, 1.

Dixon B E, K. H. (2015). Public Health and Epidemiology Informatics: Recent Research and Trends in the United States. Yearb Med Inform, 199-206.

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.

retrieved from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6115205/

Kharrazi, H. &. (2014). IT-enabled community health interventions: challenges, opportunities, and future directions. Egems, 1117.

Massoudi, B. L. (2017). Public health, population health, and epidemiology informatics: recent research and trends in the United States. Yearbook of medical informatics, 241-247.