Healthcare Informatics

Knowledge Discovery and Data Mining (KDD) is an area that deals with strategies of gathering crucial information from data among different disciplines. The demand for KDD application has increased due to the rapid growth of the online data. KDD utilizes science and technology in statistics, artificial intelligence, machine learning, computer programming and database systems (Wickramasinghe, Gupta & Sharma, 2005). There is a wide range of application of data mining in health care since it is useful in drug effectiveness study and disease outbreak.

Practice-Based Research Networks (PBRNs) are groups of primary care clinicians operating in harmony to solve the community health care problems and use the research findings to initiate programs. PBRNs involve clinicians in evidence-based culture and quality improvements operations aiming to enhance the Americans health.  Currently they serve nearly 15 percent of the Americans populations (Peterson, Lipman, Lange, Cohen, & Durako, 2012). They utilize modern technology in study designs executing and disseminating change in practice and engaging in clinical trials. In this respect, they offer crucial ability to assess the important questions to clinical practice, distributing outcomes and executing evidence-based approaches (Peterson, Lipman, Lange, Cohen, & Durako, 2012). In addition, they assist emergency services in the public health issues to provide important services to emerging public health issues in primary care.

PBRNs promote the clinical research performance in the community by increasing the distribution of new knowledge into the clinical practice. It is committed to the medical care development via systematic inquiry. Besides, it offers laboratory services that assist in primary care research in every state across the United States (Peterson, Lipman, Lange, Cohen, & Durako, 2012). Therefore, their actions provide a critical opportunity to understand the community characteristics that are not known. Therefore, studies in the community increases the adoption of the best practices and new knowledge.

Knowledge Discovery and Data mining is an important tool that can improve the healthcare informatics industry. KDD methodologies in public health are very important in the early detention of outbreak, surveillance of syndromes and healthcare. Additionally, they play an essential role in the clinical trials since they help in disease diagnosis and treatment. They also act as a database for mass storage of information (Wickramasinghe, Gupta & Sharma, 2005). Therefore, they are a source for drug management data, use of equipment, laboratory that helps in decision-making and analysis of disease.

KDD helps to improve the health care informatics through gathering clinical data such as clinical records of the patient and medical literature. Moreover, when there is quality health care data, informatics will have better opportunities to plan and establish policies. Therefore, they will be in a position to sense costly clinical profiles among patients suffering from chronic illnesses that have huge burden such as diabetes (Wickramasinghe, Gupta & Sharma, 2005). Data mining is crucial to heath care informatics because it assist health planners to get solutions in allocation of resources in case of capacity problems.

KDD also support the health care informatics industry through efficient maintenance of registry. The system offer health care updates according to recent research, which helps the hospital with administrative information. Therefore, they offer a learning opportunity in health care facility, which improves efficient in administrations (Wickramasinghe, Gupta & Sharma, 2005). Data mining helps in patient relation management via call centers, ambulatory care settings, inpatient settings and billing departments. The KDD influences the usage patterns, preferences and the current and future demands of patients.

Therefore, it enhances the satisfaction level of the patient.  It can assist in the analysis of treatment effectiveness through the evidence-based medicine. In addition, it gives the courses of actions that prove the effectiveness of medication dosage (Wickramasinghe, Gupta & Sharma, 2005). It also assists in analysis of DNA and tracking of chronic diseases such as diabetes and design appropriate interventions.

References

Peterson, K. A., Lipman, P. D., Lange, C. J., Cohen, R. A., & Durako, S. (2012). Supporting better science in primary care: a description of practice-based research networks (PBRNs) in 2011. The Journal of the American Board of Family Medicine, 25(5), 565-571.

Wickramasinghe, N., Gupta, J., & Sharma, S. (2005). Creating knowledge-based healthcare organizations. Hershey PA: Idea Group Pub.