Data mining process is carried out through Extract, Transform and Loading (ETL). It is also a process of web scraping using different programming languages, transforming data through cleansing, OCR & processing and loading the relevant patterns or models that best-fit the objective of data mining process.
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It slightly differs from machine learning (ML) because data mining involves a massive set of raw data processing. On the contrary, the ML proceeds with the processed mined patterns or models. 

AI is a replica of human neural network. Simply put, it is a technology-based version of a brain that logically thinks and responds as per machine learning data & validations. This ability and extraordinary capabilities push businesses to integrate for transitions. Typically, it is categorized into these types:
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• Reactive Machines
• Limited Memory
• Theory of Mind
• Self-Aware
• Artificial Narrow Intelligence
• Artificial General Intelligence
• Artificial Superintelligence 

Outsourcing is a combination out & sourcing, which means outside sourcing for any service that is required. It involves contracting out with any third party or an independent professional that is ready to rent out his expertise in a particular domain or specific service(s) for changing the corporate life. This commercial practice ensures handing over the limited control of services to that third party for a short term. HR process, IT support, data processing, data cleaning, data mining, AI solutions, digital marketing, SEO, web design and development, market & business research, data analytics and knowledge consulting are a few common services that are popularly outsourced on a global platform. All of these and many more services can be outsourced onshore and offshore. 

As RCM stands for Revenue Cycle Management, its role is great in medical billing. The process involves start-to-finish procedures for resolving the health insurance claim matter. Specifically, this process has the following stages:

• Patient pre-authorization is the process of getting prior approvals from the payer or insurance company before offering the medical billing services, which confirms that that the health care service is valid and authentic.
• Verifying eligibility & benefits ensures if or not the patient is worthy for the claim. If he is, how much payment should be made to him-it is determined through this process. 
• Submitting claims is the process after confirming from the medical biller & the medical coder about the report, as if it is valid and the patient is worthy for claim.
• Payment posting is the entire process dedicated to verification of medical codes, which are translated by the professional coder and handed over to the biller for making a claim with the payer.
• Denial management is the process of what process should be opted in for rejected medical billing applications. 
• AR follow-up involves interaction and communication that are required for an accurate and timely claim submission or re-submission.
• Reporting is the last step, wherein the report is prepared on medical bills stating all advances involved stage-wise. 

Using machine learning algorithms can help in autocorrect or word suggestions on any connected device that ensures remote working. Algorithms understand the way you text or type data, which automatically turn better if seems inconsistent, incomplete or wrong with the fed alternative data. These algorithms can answer how to improve data entry accuracy through automation, which can be figured out through these things: 

• Create an end-to-end master data accurately.
• Identify the source causing the inaccuracies.
• Evolve algorithms for autocorrect and autocomplete on errors.
• Double-check the data automatically and manually.
• Try out automated error reporting algorithms.
• Provide training to your employees.
• Stick to robust data entry accuracy standards.