Artificial Intelligence in Medicine Discussion

Brainstorming a Business Case

Artificial intelligence solution

According to Mintz and Brodie (2019), artificial intelligence aids in automatically supplying pertinent information to the customer. The algorithms employed in AI are programmed in a manner that they select the first most essential facts and deliver them directly to the user. AI also plays a crucial role in articulating the demands of patients in the health care system. AI helps diagnose the most prevalent disorders and provide the most effective treatment possible. All of this may be accomplished with the push of a button press, saving doctors’ time. AI-enabled devices incredibly quickly prove their capability to help humans perform more productive and comprehensive duties. Below is a discussion of using artificial intelligence in finance to detect fraud and in the operating room. Artificial Intelligence in Medicine Discussion

Artificial intelligence in fraud detection

Artificial intelligence technology will help healthcare organizations detect and protect themselves from financial fraud. For example, there are cases where either patients or other partners like suppliers use fake insurance covers (Miller & Brown, 2018). Artificial intelligence will be able to help in the detection of these frauds by programming the machine to detect incorrect barcodes, as mentioned in each insurance policy. This approach will ensure that all fraudulent behaviors within healthcare organizations related to insurance policies are handled accordingly. The organization will need to incur the cost of hiring coders to develop a fraud detection model for them from an outsourcing company. Although the operation or initial cost might be higher before installing this AI technology, the cost will be minimal compared to the benefits it brings. For example, frauds range between $2000 to $900000, but an average outsourcing company will cost the organization between $30000 and $35000 annually (Wagner, 2019); this clearly shows that it is cost-effective to sign contracts with an outsourcing company as compared to living with the fraud-prone healthcare organization.

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Artificial intelligence in the operating room

Briganti and Le Moine (2020) indicate that one augmented intelligence solution that has shown a considerable amount of potential is al-assisted surgery. Such solutions help doctors by acting as an additional set of eyes or hands. Al has been demonstrated to be highly beneficial in identifying anomalies in computed tomography. For example, regarding cancer-positive lymph nodes, Al has revolutionized detecting outcomes, reducing the frequency of erroneous diagnoses and maybe saving lives. Artificial intelligence supports consumers in obtaining timely information automatically. Human surgeons can manipulate robotic surgery without touching them due to the interaction between people and machines. This intervention is feasible through hand or head motions, voice and speech recognition, or the surgeon’s sight. Al can identify the most prevalent illnesses and offer the most effective cures Artificial Intelligence in Medicine Discussion

Startup cost, operating cost, and revenue for AI

The startup cost for this program might be higher, but the outcome will be huge. Money will be needed to purchase a robot, which is always expensive. After the purchase, there will be a need to train an operator who will be there to ensure it is fully operational. In case there are not enough employees in the healthcare organization to assume this role, a need for employing one will be necessary. Implementation of the artificial intelligence solution will require a startup capital of about US$100,000.the cost of operating will vary based on the size of the team and experience; therefore, the estimated cost of operating will range from $1500 and $4500 per month. The solution is expected to generate a revenue of about $ 6500 monthly within the initial stages of implementation. Artificial Intelligence in Medicine Discussion

References

Briganti, G., & Le Moine, O. (2020). Artificial intelligence in medicine: today and tomorrow. Frontiers in medicine, 7, 27.

Miller, D. D., & Brown, E. W. (2018). Artificial intelligence in medical practice: the question to the answer?. The American journal of medicine, 131(2), 129-133.

Mintz, Y., & Brodie, R. (2019). Introduction to artificial intelligence in medicine. Minimally Invasive Therapy & Allied Technologies, 28(2), 73-81.

Wagner, J. B. (2019). Artificial intelligence in medical imaging. Radiologic technology, 90(5), 489-501.

Using the Healthcare Budget Request Template, develop a 1- to 2-page executive summary that describes the issue or opportunity that you are analyzing. In your executive summary, you should:
Describe the healthcare issue or opportunity you selected.
Describe the stakeholder groups impacted by this issue/opportunity.
Explain which stakeholder groups would most likely be responsible for helping you address the healthcare issue or opportunity you selected and why. Be specific and provide examples.
Describe the healthcare product or service that you propose to address the identified gaps/opportunities and explain why.
Provide scholarly support for the issue or opportunity and your new product or service idea. Artificial Intelligence in Medicine Discussion