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Artificial Intelligence Assignment: Implementing AI in healthcare Industry


Task: This is your opportunity to apply design thinking to your own idea. Adopt an entrepreneurial lens, on an idea you create or have already considered, or are currently pursuing. Your task is to immerse in the design thinking process and demonstrate how you have applied the design thinking process to your own idea.


Executive Summary
The artificial intelligence assignment has been designed to introduce an innovative and cost-effective model that can help people to lead a healthy life. The highlighted project intends to introduce the Artificial Intelligence concept in form of robots in the healthcare setting so that the healthcare users can have access to highly professional and technically competent skills that can strengthen their health outcome. In the technology-prone era, the integration of the AI concept in the healthcare sector could positively enhance the experience of the care users and thus influence their ultimate health outcome. Even though there is a slow and gradual presence of technology in the industrial setting, it is high time to make major leaps so that the health conditions of the people can be improved for the better.

In order to enhance the feasibility of the selected project, the 4 Questions design thinking process has been implemented so that the core components of the innovative project could be carefully planned and designed so that it could create value in the process. The project idea of this artificial intelligence assignment was inspired by my personal experience in the healthcare setting which was totally manually driven and prone to errors.

The demand for healthcare services will never decline because it is directly linked with the survival of humans. So there is high scope to make constructive changes in the industry so that the healthcare service can be improved for the end users and positively influence their health outcome. The AI robot that has been designed would minimize the work burden of the physicians and perform their functions in a competent and professional manner.

I plan to expand the project plan in the coming 5 years so that the quality of the healthcare services could be automated and simplified at a global level. In order to make it a success in this artificial intelligence assignment, it is necessary to upgrade the technical knowledge of the healthcare professionals so that their functions and roles can be synchronized with that of the AI robots. It could bring about transformational change in the healthcare environment in the near future.

Purpose and Passion

artificial intelligence and robotics

Source: (Arnold & Wilson, 2017, p 6)

In the recent years, the significance of the healthcare sector and the offered services has expanded multifold. Due to the rise in the demand of the healthcare facilities and services, the project has been planned so that the role of innovative technology and Artificial Intelligence can be increased in the work setting. This would further promote the health outcome of the healthcare users. I have been able to think in a creative and innovative manner due to the MBA course which made me believe in my capabilities (Hamet & Tremblay, 2017).

The fundamental aim of the artificial intelligence assignment is to strengthen the healthcare services by incorporating AI technology into the existing service model so that it could minimize the professional burden of the physicians and help to automate the diagnosis and treatment process. The AI approach could transform the healthcare (Koch, 2018). The implementation of AI and robotics could streamline various aspects in the healthcare setting relating to the detection of medical conditions, diagnosis and treatment model, simpler decision-making process, and overall decision-making process (Arnold & Wilson, 2017, p 7). The figure presented below shows the use of the AI concept is increasing in the healthcare sector.

AI concept assignment

Source: (Jiang et al., 2017)

Design Thinking Process
The design thinking process is known as the solution–based approach that intends to solve complex issues. This is one of the most useful tools that I came across during my MBA course that can be used for the purpose of arriving at suitable solutions. In order to give shape to the unique project idea, the ‘Four Question’ of Design Thinking Process to get a better understanding of the problem in hand and the solution that can be introduced in order to tackle it (Luxton, 2015). The framework of the model has been presented in the below diagram. The various elements that have been captured in the report are as follows:

‘What is’ – During this phase, the analysis of the scenario is undertaken.
‘What if’ – The brainstorming activity takes place in order to visualize a new and modern scenario.
‘What wows’ – It involves refining and evaluating the undertaken decisions.
‘What works’ – It is the ultimate phase of the design thinking process where the implementation and execution take place.

Innovation Consulting in AI assignment

Source: (Peer Insight | Innovation Consulting, 2018)

What is…?
The “What is” is the foundation of the design thinking process that is designed to get a better understanding of the existing reality. In order to understand the present scope of AI in the healthcare setting, secondary sources of data were used including research publications and peer-reviewed articles. The primary source of data was also used and a total of 4 healthcare professionals were interviewed about the AI techniques that are used in their care facility. The semi-structured interview questions were presented before them so that their views on the AI implementation in the healthcare sector could be ascertained.

One of the possible uses of the Artificial Intelligence Robotic concept in the healthcare setting includes the robotic surgery and the screening of the neurological conditions. This innovative concept has a tremendous scope and its optimum implementation could bring about a revolutionary change in the care setting and the care services that are offered to the patients (Fan et al., 2018). In spite of the high utility of AI robots in the healthcare setting, this concept has been growing at a slow pace and there is high scope to expand the application of AI robots in the healthcare setting (Rich & Knight, 2009, p 3).

The target users of the artificial intelligence assignment include the healthcare service providers and facilities that offer care services to the patients and other care users. The target users would also include the clinics where physicians work independently.

Empathy Map: The empathy map presented below shows the views of a healthcare physician named Dr Jones. His views have been presented in the map and it shows that there is scope to introduce AI robots in the healthcare facilities so that the work burden of the physicians and doctors can be managed in a better and more efficient way.

empathy map in AI assignment

Source: (Nielsen Norman Group, 2018)

Stakeholder Map: The various stakeholders that are involved in case of Dr Jones have been presented in the below image. This map was created to identify the various individuals with whom the physician engages on a regular basis while working in the healthcare facility.

Stakeholder Map in AI assignment

Journey Map: The journey map highlights a day in the life of Dr Jones. I was created to understand how he manages his functions in the healthcare setting. The hectic schedule naturally takes a toll on the service quality that is offered by him. From this journey map, it was identified that there is scope to introduce an AI robotic model that can help physicians like Jones to share their work burden.

Journey Map in healthcare

What if…?
This stage fundamentally transforms the insight of the target audience into the suitable problem and opportunity statement so that the suitable solutions can be arrived at. The objective is to introduce an innovative technology-based model in form of an AI robot that can minimize the burden of doctors and physicians. Since the use of AI can impact both the doctors and the care users, the concept of AI robotics in the healthcare context has been explored here.

The primary and secondary research in this artificial intelligence assignment indicated that the four elements that could be enhanced by introducing the AI model in the healthcare setting include the

  • Mental and physical wellbeing of doctors
  • The improvement in the health conditions of care users

The ‘how we might’ approach was implemented in order to capture the issues and design the suitable opportunity in the healthcare sector.


How Might we question


Adverse implication on the wellbeing of physicians

How might technology be introduced to minimize burden in healthcare setting?

Introduction of AI robotic models

Introducing automation

Poor health outcome of patients

How can health and wellbeing of care users be enhanced by incorporating AI in the setting?

Focusing on personalized approach while treating the patients.

Synchronizing the work of AI robots and human factors.

Mental and physical wellbeing of doctors – A number of questions were framed in order to understand the mental and physical make-up of the doctors. Their wellbeing is extremely important to make sure that they deliver quality services to the users. The high extent of manual processes naturally makes them saturated and increases their work burden. It ultimately impacts their work quality (Piette et al., 2016). In order to empower them, the AI robots or technological innovative models can be introduced to positively influence the services of these professionals.

The improvement in the health conditions of care users – The health outcome of the patients is directly linked to the service that is delivered by the doctors. In order to influence it in a positive manner, there is the scope to expand the application of technology so that the doctors can get assistance while serving the care users.

What Wows
On the basis of the arrived problem and opportunity, it can be stated that technological elements can be introduced in the healthcare setting in order to simplify the care services and enhance the health outcome of the patients. In order to create value for the involved stakeholders, the solutions have been designed by focusing on the short-term concept and the medium to long-term concept (Xing, Krupinski & Cai, 2018). The napkin pitch framework has been used to understand how the proposed solution would meet the needs of the target users.

Short-term solution concept


Healthcare professionals are under pressure to meet the healthcare needs of the patients.

It takes a toll on their capability as professionals and impacts the health outcome of the patients.



Gradual introduction of AI concept to do the diagnosis of patients  and treating them for minor medical conditions


Reduction in the work burden of healthcare professionals like nurses and assistants.

Other service providers

Policies can be introduced to familiarize the care professionals with the innovative concept.

Improved experience of Dr Jones


Reduction in pressure of Dr Jones



Simplification of work model.


Improved healthcare service for the patients

Other service providers

Streamlined work in healthcare setting

Medium to Long-term solution concept


High awareness of care users about improved healthcare service

Value proposition for the involved stakeholders


A higher degree of involvement of innovation and patients in the process.


Better health outcome of patients.

Other service providers

Uniformity and consistency in treatment model.

Improved experience of Dr Jones


Jones’ Higher awareness of the needs of the care users

Value proposition for the involved stakeholders


Better involvement of Jones, patients and the innovative approach.


Synchronized behaviour by Jones and other stakeholders

Other service providers

Better understanding of the medical system.

Assumption Testing




Make or Break

Data needed for testing


Short-term solution concept


 Flexible schedule for the healthcare professionals


Secondary research to understand


 Simple synchronization of work between AI robots and doctors


How AI can be modelled to create


 Use of existing IT resources


Value for care users and doctors






Long-term solution concept


 Proper understanding of the automated approach by the care users and care providers


Primary research to get feedback on the AI robotic concept


 Building a robust automated network in the are setting


in the healthcare setting.


 Collaborative approach to bring about uniformity in the AI concept.



What works…?
This is the ultimate stage of the design thinking process that involves refining of the solution so that value can be created for the target users. The assumption test


The solution concepts that have been introduced would create value for the target audience. The comparison of the short-term and long-term solution shave been presented below based on assumptions (Xing, Krupinski & Cai, 2018). The solutions would be useful but the feasibility, desirability and viability would be different.

solution concepts in AI assignment

The design thinking process has been implemented in this artificial intelligence assignment to introduce the AI robotic concept in the healthcare so that the service setting could be strengthened. The project intends to create value for the care users and minimize the manual work process of the care providers. Both the primary and the secondary research techniques have been used in order to frame the design that could enhance the AI integration in the delicate work setting. In order to understand the effectiveness of the project in this artificial intelligence assignment, the feedback must be taken from the involved stakeholders to understand how it would create value for them. Artificial intelligence assignment assignments are being prepared by our IT assignment help experts from top universities which let us to provide you a reliable assignment help online service.

Arnold, D. and Wilson, T., 2017. What doctor? Why AI and robotics will define new health. PwC.

Fan, W., Liu, J., Zhu, S. and Pardalos, P.M., 2018. Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS). Annals of Operations Research, pp.1-26.

Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H. and Wang, Y., 2017. Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology, 2(4), pp.230-243.

Hamet, P. and Tremblay, J., 2017. Artificial intelligence in medicine. Metabolism, 69, pp.S36-S40.

Koch, M., 2018. Artificial intelligence is becoming natural. Cell, 173(3), pp.531-533.

Luxton, D.D. ed., 2015. Artificial intelligence in behavioral and mental health care. Academic Press.

Nielsen Norman Group. (2018). Empathy Mapping: The First Step in Design Thinking. [online] Available at: [Accessed 5 Oct. 2018].

Peer Insight | Innovation Consulting. (2018). Three Go -To Resources on Design Thinking. [online] Available at: http: // -to-resources-on-design-thinking [Accessed 5 Oct. 2018].

Peer Insight | Innovation Consulting. (2018). Three Go -To Resources on Design Thinking. [online] Available at: http: // [Accessed 5 Oct. 2018].

Rich, E. and Knight, K., 2009. Artificial intelligence Third Edition. McGraw-Hill, New.

Rich, E. and Knight, K., 2009. Artificial intelligence Third Edition. McGraw-Hill, New.


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