Revolutionization of technology by healthcare

Scenario

Technology has revolutionized healthcare significantly in recent years. As technology continues to evolve, healthcare leaders are focused on ways in which new technologies can be leveraged to improve costs, access, and quality of care.

You are the associate consultant for a health quality management organization. Your organization advises health service providers on ways to improve quality and safety in the delivery of care. You have been asked by the senior consultant to conduct research on a new technology that has the capacity to positively impact healthcare delivery. Use your research to write an executive summary detailing your findings regarding the technology.

Examples of technologies that have the potential to change healthcare and its delivery include:

Artificial Intelligence (AI)
Internet of Medical Things (IoMT)
Centralized monitoring of hospital patients
Chatbots
Electronic underwear that prevents bedsores
Disinfectant lightbulbs
Instructions
Create an executive summary in which you discuss the following:

Identify a new or emerging technology that may significantly improve quality, increase access to care, and/or reduce long-term costs.
Discuss the global implications of implementing the selected technology.
Explain how the new technology may result in improved outcomes and increased efficiency.
Describe potential challenges to implementing the technology and proposed solutions to those challenges.

Full Answer Section
Improved Outcomes and Increased Efficiency AI can result in improved outcomes and increased efficiency in healthcare in a number of ways. For example, AI can be used to:
  • Improve the accuracy of diagnoses: AI can be used to analyze large amounts of data to identify patterns that may be missed by human doctors.
  • Personalize treatment plans: AI can be used to personalize treatment plans based on a patient's individual needs.
  • Automate tasks: AI can be used to automate tasks such as scheduling appointments and reviewing medical records.
  • Develop new drugs and treatments: AI can be used to develop new drugs and treatments by identifying new targets and pathways.
Challenges and Solutions There are a number of challenges to implementing AI in healthcare. These challenges include:
  • Data privacy: AI requires large amounts of data to train and operate. This data must be protected from unauthorized access.
  • Bias: AI models can be biased if they are trained on data that is not representative of the population.
  • Cost: AI can be expensive to develop and implement.
There are a number of solutions to these challenges. These solutions include:
  • Data privacy: Data can be anonymized or encrypted to protect privacy.
  • Bias: AI models can be de-biased by using techniques such as data augmentation and regularization.
  • Cost: AI can be made more affordable by developing open-source AI models and by using cloud computing.
Conclusion AI has the potential to significantly improve quality, increase access to care, and/or reduce long-term costs in healthcare. The global implications of implementing AI in healthcare are significant. AI can improve the quality of care for people all over the world and help to reduce the cost of healthcare, especially in developing countries. However, there are a number of challenges to implementing AI in healthcare. These challenges can be addressed by using techniques such as data privacy, bias mitigation, and cost reduction.
Sample Answer Executive Summary Technology The technology I have chosen to focus on is Artificial Intelligence (AI). AI is a rapidly evolving field with the potential to revolutionize healthcare in a number of ways. AI can be used to improve the accuracy of diagnoses, personalize treatment plans, and automate tasks. It can also be used to develop new drugs and treatments. Global Implications The global implications of implementing AI in healthcare are significant. AI has the potential to improve the quality of care for people all over the world. It can also help to reduce the cost of healthcare, especially in developing countries.