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What are the advantages of using open-source programming? What are the disadvantages? What are the advantages of using open-source programming? What are the disadvantages? What are the advantages of using open-source programming? What are the disadvantages? Discuss the impact of Python and other open source programming languages on electronic health records and the health care industry. What are the advantages of using open-source programming? What are the disadvantages? The majority of healthcare organizations are embracing digital approaches to information and data management. Electronic medical records are one of the technologies being used by healthcare institutions to improve the management and flow of information. Open-source programming is essential in the creation of various digital products. In other words, open-source programming has the potential to drastically alter the healthcare landscape. Python is a popular programming language used in a variety of industries to develop or create various programs (Helmus & Collis, 2016). The healthcare industry is one of the Python programming language’s beneficiaries. Through the use of Python programming, clinicians and healthcare organizations can produce effective and better patient outcomes through efficient and complex applications. The ability to interact with Artificial Intelligence (AI) and Machine Learning, which are commonly used in healthcare systems, is the primary advantage of the Python programming language (Jain et al., 2018). In other words, healthcare professionals can make sense of the information used by artificial intelligence and machine learning by using the Python programming language. Click here to ORDER an A++ paper from our Verified MASTERS and DOCTORATE WRITERS: What are the advantages of using open-source programming? What are the disadvantages? Python Programming services are essential in enhancing computing functionalities to enhance the extraction of useful insights from knowledge that can enhance or facilitate the development of effective healthcare systems in order to achieve robust programming (Woody et al., 2020). Python programming improves predictive analytics, which entails a wide range of statistical techniques such as predictive modeling, data mining, and machine learning that analyze current and historical data to make predictions about unknown events. Python programming promotes improved patient management and image-based diagnosis. The complexity of Python programming is one of its drawbacks. Python is not a good language for mobile development. In other words, it is regarded as a poor choice for mobile computing. This explains why the Python programming language is used to create so few mobile applications. Order Now