Portfolio Assignment Portfolio Project: This week discuss a current business process in a specific industry. Note the following: -The current business process itself. -The industry the business process is utilized in. After explaining the current situation, take the current learning from the course and: Explain a new technology that the business should deploy. Be specific, don’t only note the type of technology but the specific instance of technology. (For example, a type of technology is smart automation a specific type of automation is automated light-dimming technology). Note the pros and cons of the technology selected.

ANSWER

Portfolio Assignment

Portfolio Project: This week discuss a current business process in a specific industry. Note the following:

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Portfolio Assignment Portfolio Project: This week discuss a current business process in a specific industry. Note the following: -The current business process itself. -The industry the business process is utilized in. After explaining the current situation, take the current learning from the course and: Explain a new technology that the business should deploy. Be specific, don’t only note the type of technology but the specific instance of technology. (For example, a type of technology is smart automation a specific type of automation is automated light-dimming technology). Note the pros and cons of the technology selected.
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-The current business process itself.

-The industry the business process is utilized in.

After explaining the current situation, take the current learning from the course and:

  • Explain a new technology that the business should deploy. Be specific, don’t only note the type of technology but the specific instance of technology. (For example, a type of technology is smart automation a specific type of automation is automated light-dimming technology).
  • Note the pros and cons of the technology selected.
  • Note various factors the business should consider prior to deploying the new technology

The above submission should be three pages in length. Remember the total length does not include the APA approved cover page or the references. There should be at least three APA approved references to support your work.

ANSWER

Transforming Business Processes in the Healthcare Industry through Artificial Intelligence

Introduction

The healthcare industry plays a crucial role in society by providing essential medical services. However, like any other industry, it also faces the challenge of optimizing its business processes to enhance efficiency, accuracy, and patient care. In this essay, we will explore the current business process within the healthcare industry and propose the deployment of a specific technology to address the existing challenges. Specifically, we will focus on the utilization of Artificial Intelligence (AI) in streamlining medical diagnosis and treatment recommendations.

Current Business Process

The healthcare industry is characterized by complex and time-consuming processes, particularly in the area of medical diagnosis (Balogh, 2015). Currently, doctors and healthcare professionals rely on their expertise, clinical knowledge, and patient data to make accurate diagnoses and treatment recommendations. However, due to the vast amount of medical information available, it can be challenging for healthcare providers to stay updated and ensure consistency in decision-making.

New Technology: AI-powered Clinical Decision Support System

To address these challenges, the healthcare industry should deploy an AI-powered Clinical Decision Support System (CDSS) (Mosadeghrad, 2014). This technology utilizes machine learning algorithms and natural language processing to analyze vast amounts of medical data, extract relevant information, and provide evidence-based recommendations to healthcare professionals.

Pros of AI-powered CDSS

Enhanced Accuracy: AI algorithms can process and analyze medical data more comprehensively and objectively than humans, leading to more accurate diagnoses and treatment recommendations.

Improved Efficiency: By automating routine tasks such as data analysis and information retrieval, AI-powered CDSS can reduce the time required for diagnosis, allowing healthcare professionals to focus more on patient care.

Consistency in Decision-making: The use of AI ensures consistent and evidence-based decision-making, reducing the potential for human error and variability in treatment approaches (Dash et al., 2019).

Expanded Medical Knowledge: AI algorithms can continuously learn from new medical research and data, ensuring that healthcare providers have access to the latest information and guidelines for improved patient care.

Cons of AI-powered CDSS

Limited Human Interaction: Relying solely on AI technology may reduce the level of human interaction in the healthcare process, potentially affecting patient-doctor relationships and patient satisfaction.

Data Privacy and Security Concerns: The deployment of AI-powered CDSS requires the collection and analysis of sensitive patient data. Proper security measures must be in place to safeguard patient privacy and protect against data breaches.

Initial Costs and Training: Implementing an AI-powered CDSS involves upfront costs for acquiring and developing the technology, as well as training healthcare professionals to effectively utilize and interpret its recommendations.

Factors to Consider before Deployment

Ethical Considerations: The healthcare industry must address ethical concerns regarding the use of AI, ensuring transparency, fairness, and accountability in decision-making processes.

Regulatory Compliance: Healthcare organizations should comply with relevant regulations and standards to protect patient data privacy and security, such as HIPAA (Health Insurance Portability and Accountability Act) in the United States.

Interoperability: The AI-powered CDSS should be designed to integrate seamlessly with existing healthcare information systems to ensure compatibility and smooth implementation.

User Acceptance and Training: Adequate training programs should be provided to healthcare professionals to familiarize them with the technology and ensure they are comfortable using it in their daily practice.

Conclusion

The deployment of an AI-powered Clinical Decision Support System holds immense potential for transforming business processes within the healthcare industry. By leveraging AI technology, healthcare professionals can access accurate and up-to-date medical information, leading to improved diagnoses, treatment recommendations, and patient care. However, careful consideration must be given to ethical, privacy, security, and training aspects before implementing such technology. Through a strategic and thoughtful deployment, AI can revolutionize healthcare, providing better outcomes for both patients and healthcare providers.

References

Balogh, E. P. (2015, December 29). The Diagnostic Process. Improving Diagnosis in Health Care – NCBI Bookshelf. https://www.ncbi.nlm.nih.gov/books/NBK338593/ 

Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis and future prospects. Journal of Big Data, 6(1). https://doi.org/10.1186/s40537-019-0217-0 

Mosadeghrad, A. M. (2014). Factors Influencing Healthcare Service Quality. Factors Influencing Healthcare Service Quality, 3(2), 77–89. https://doi.org/10.15171/ijhpm.2014.65 

 

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