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Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare: (1) claims and cost data, (2) pharmaceutical and research and development (R&D) data, (3) clinical data (such as collected from electronic medical records (EHRs)), and (4) patient behaviors and preferences data (e.g. patient satisfaction or retail ...
In 2021, 4.15% of Ghana's GDP was spent on health, [14] and all Ghanaian citizens had access to primary health care. Ghanaian citizens make up 97.5% of Ghana's population. [15] Ghana's universal health care system has been described as the most successful healthcare system on the African continent by the renowned business magnate and tycoon ...
In addition, they may apply the science of informatics to the collection, storage, analysis, use, and transmission of information to meet legal, professional, ethical and administrative records-keeping requirements of health care delivery. [1] They work with clinical, epidemiological, demographic, financial, reference, and coded healthcare data.
A large part of industry focus of implementation of AI in the healthcare sector is in the clinical decision support systems. As more data is collected, machine learning algorithms adapt and allow for more robust responses and solutions. [9] Numerous companies are exploring the possibilities of the incorporation of big data in
According to Ghana's 2014 Demographics and Health Survey, 40% of men and 25% of women are overweight with previous data showing a 10% prevalence rate in women in 1993. [21] Hypertension had a national prevalence rate of 28.7% in 2006.
The vision of GODI is to develop an open data community involving the Government of Ghana, civil society organizations, industry, developer communities, academia, media practitioners, and the citizenry, to interact with one another with the aim of developing an open data portal to bring about transparency, accountability and efficiency in ...
Unstructured health data, unlike structured data, is not standardized. [4] Emails, audio recordings, or physician notes about a patient are examples of unstructured health data. While advances in health information technology have expanded collection and use, the complexity of health data has hindered standardization in the health care industry ...
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]