Public and population health informatics
Introduction
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. 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 efforts have shown huge growth in the sharing of information and analytic activities in a series within the health of the population. The research 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.
Discussion
Challenges in implementing this research study
Some of the articles acquired from the field of health care delivery are not used. The report only focused on the newly published literature, mainly focusing on the population and public health basing on an informatics theme. The articles not found in PubMed or not written in English were not included. The piece without abstracts, keywords, and citations added manually. Therefore, they cannot be accessed by public health workers since they only appear in policy statements and white papers, which are not indexed in PubMed. Lastly, only positive results achieved focused on peer-reviewed articles (Kharrazi, 2014). Don't use plagiarised sources.Get your custom essay just from $11/page
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).
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 the application of this research by ensuring accurate and reliable information accessed easily by the health care providers and the general public.
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 organization has put the fourth aim attaining joy in work, and others use pursuing health equity (Bodenheimer, 2014). This research has address 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.
Addressing a health informatics research or community health/population need
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).
Conclusion
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.