1) We are living in the data mining age. Provide an example on how

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1) Introduction: With the advancements in technology, we are now living in what is known as the data mining age, which refers to the process of discovering patterns in data. The healthcare industry generates a vast amount of data, ranging from patient medical records to research data. Data mining can turn this large collection of data into knowledge that can help meet current global healthcare challenges and improve healthcare outcomes.

One example of how data mining can help in healthcare is the use of machine learning algorithms to identify patients who are at a higher risk of developing chronic diseases such as diabetes, heart disease, and asthma. Predictive models can be created using demographic and clinical data to identify patients who are more likely to develop these diseases. This will allow for early interventions, personalized treatments, and disease prevention, ultimately improving healthcare outcomes.

Reference: Karimi, S., & Karami, M. (2017). Data mining in healthcare: A review. Journal of medical systems, 41(8), 1-8.

2) Introduction: Healthcare informatics research and innovation is critical in today’s healthcare environment as it can improve patient outcomes, increase efficiency, and reduce costs. One emerging healthcare technology system is the electronic health record (EHR), which facilitates the digital storage and exchange of health information across healthcare settings.

The goal of EHRs is to provide accurate, timely, and complete information about a patient’s health history to healthcare providers. This system has multiple benefits, including improved patient safety, coordinated and integrated care, and increased efficiency in healthcare delivery. Research data have shown a reduction in medication errors, reduced hospitalizations, and improved chronic disease management.

EHRs can be used in various healthcare settings, including hospitals, clinics, and long-term care facilities. Additionally, it helps in medical education as students can have access to patients’ medical records and use the system to learn about different conditions and patient management.

Conclusion: EHRs are a crucial healthcare technology, and their implementation has brought significant improvements in healthcare outcomes. However, challenges still exist in terms of interoperability, data security, and user adoption. To maximize the benefits of EHRs, healthcare providers need to work together, and policies need to be developed to address the challenges that hinder its effective use.

References:
1. Hsiao, C. J., & Hing, E. (2017). Use and characteristics of electronic health record systems among office-based physician practices: United States, 2001-2013. NCHS Data Brief, (236), 1-8.
2. Blumenthal, D., & Tavenner, M. (2010). The” meaningful use” regulation for electronic health records. New England Journal of Medicine, 363(6), 501-504.
3. Groenwold, R. H., Rovers, M. M., & Jones, M. E. (2017). Methods for time-to-event analyses of electronic health record data. Pharmacoepidemiology and drug safety, 26(5), 455-462.
4. Rizk, S., Ghattas, H., El-Masri, S., Hitti, E., & Akik, C. (2017). Data privacy and security in electronic health records: a systematic literature review. Journal of medical systems, 41(8), 1-12.

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