Table 3 Data structure First order... | Emerald Publishing

Table 3

Data structure

First order concepts	Second-order themes	Aggregate dimensions
-Better patient outcomes and improved healthcare performance -Reduced anxiety for patient -It furthers patient care and regrettably increases profit -Enabling patient recovery rates and overall healthcare management -Patient support is better -It fosters a more patient-centric healthcare system	Enhance diagnostics Patient-centric healthcare system Patient support is better Further patient care	Better patient outcomes and experience
-It will provide much-needed standardization -Consistency in information provided to patients -Postoperative care will be standardized based on the latest research and guidance -Unbiased support and consistency in outcomes	Consistency in information Standardization Use of latest research Accuracy and less subjectivity	Standardization
-It could also be accessible, having something online/on the phone, such as e-consent -Facilitate remote monitoring and telemedicine -It is less personal and interactive; however, it's efficient	Remote monitoring and telemedicine Accessibility	Accessibility
-It could reduce staffing, decrease wait time and lower costs -AI provided to offset the shortfall of nurses and doctors -A way to get around poor recruitment and retention -Money-saving and time-saving	Money and time savings It could reduce staffing A way to get around poor recruitment and retention	Cost-savings
-It can streamline patient information care -AI optimizes workflow while keeping fair and balanced -Optimize healthcare operations -It improves efficiency, accuracy and accessibility -It delivers them faster and possibly with some accuracy/less subjectivity -Waiting lists have come down in mental health due to AI completing referrals/screening checks -Streamlined administrative processes -It will make tasks quicker and easier to do -AI is revolutionizing healthcare operations by automating tasks, enhancing diagnostics, enabling remote care, optimizing resource allocation and accelerating drug discovery -Delivering focused on objective processes -It's addressing operational challenges	Optimizes workflow Streamlined administrative processes Make tasks quicker and easier to do	Automation and efficiency
-Improved diagnostic tools -Treatments and antibiotic choices will be based on the latest research -Products may be cheaper -It's driving medical innovation -It can support clinical as well as research initiatives	Improved diagnostic tools Driving medical innovation Accelerating drug discovery Supporting clinical and research initiatives	Innovation and discoveries
-Information consent is absolutely necessary -Mishandling of personal information (PI) is a big problem and concern right now -Data breaches -Data protection and privacy -It's at the risk of being accessed by other people -I feel privacy is a big ethical consideration as confidentiality of patient data should be ensured -Safety -Security	Data breaches	Data issues
-Mitigating biases in algorithms	Biases in algorithms	Bias issues
-Navigating liability issues is critical -I don't think they will change much -I think it has the possibility to increase efficiency, but it is not having huge outcomes on performance as of right now	Liability issues	Liability issues
-It would need to have a failsafe built in to ensure that it works 100% -Addressing biases ensures fair access to healthcare for all -AI should still comply with laws and regulations -Transparency and accountability build trust in AI -AI needs to become more sophisticated if the public is to trust the information provided by it	Need to have a failsafe built in Address biases Comply with regulations	Continuous assessment, modification and compliance with regulations
-Ongoing education and training of healthcare professionals are vital in the adoption of AI in healthcare -Education on ethical considerations	Ongoing education and training	Continuous education and training
-Doctors should always be the ones making the final decisions -Colleagues have less autonomy since machines are telling us what to do and when to do it -In the future, people will be in the hands of automated services; however, this could result in misdiagnoses and inaccurate assessment	Final decisions should be made by the doctors	Human expertise integration

First order concepts	Second-order themes	Aggregate dimensions
-Better patient outcomes and improved healthcare performance -Reduced anxiety for patient -It furthers patient care and regrettably increases profit -Enabling patient recovery rates and overall healthcare management -Patient support is better -It fosters a more patient-centric healthcare system	Enhance diagnosticsPatient-centric healthcare systemPatient support is betterFurther patient care	Better patient outcomes and experience
-It will provide much-needed standardization -Consistency in information provided to patients -Postoperative care will be standardized based on the latest research and guidance -Unbiased support and consistency in outcomes	Consistency in informationStandardizationUse of latest researchAccuracy and less subjectivity	Standardization
-It could also be accessible, having something online/on the phone, such as e-consent -Facilitate remote monitoring and telemedicine -It is less personal and interactive; however, it's efficient	Remote monitoring and telemedicineAccessibility	Accessibility
-It could reduce staffing, decrease wait time and lower costs -AI provided to offset the shortfall of nurses and doctors -A way to get around poor recruitment and retention -Money-saving and time-saving	Money and time savingsIt could reduce staffingA way to get around poor recruitment and retention	Cost-savings
-It can streamline patient information care -AI optimizes workflow while keeping fair and balanced -Optimize healthcare operations -It improves efficiency, accuracy and accessibility -It delivers them faster and possibly with some accuracy/less subjectivity -Waiting lists have come down in mental health due to AI completing referrals/screening checks -Streamlined administrative processes -It will make tasks quicker and easier to do -AI is revolutionizing healthcare operations by automating tasks, enhancing diagnostics, enabling remote care, optimizing resource allocation and accelerating drug discovery -Delivering focused on objective processes -It's addressing operational challenges	Optimizes workflowStreamlined administrative processesMake tasks quicker and easier to do	Automation and efficiency
-Improved diagnostic tools -Treatments and antibiotic choices will be based on the latest research -Products may be cheaper -It's driving medical innovation -It can support clinical as well as research initiatives	Improved diagnostic toolsDriving medical innovationAccelerating drug discoverySupporting clinical and research initiatives	Innovation and discoveries
-Information consent is absolutely necessary -Mishandling of personal information (PI) is a big problem and concern right now -Data breaches -Data protection and privacy -It's at the risk of being accessed by other people -I feel privacy is a big ethical consideration as confidentiality of patient data should be ensured -Safety -Security	Data breaches	Data issues
-Mitigating biases in algorithms	Biases in algorithms	Bias issues
-Navigating liability issues is critical -I don't think they will change much -I think it has the possibility to increase efficiency, but it is not having huge outcomes on performance as of right now	Liability issues	Liability issues
-It would need to have a failsafe built in to ensure that it works 100% -Addressing biases ensures fair access to healthcare for all -AI should still comply with laws and regulations -Transparency and accountability build trust in AI -AI needs to become more sophisticated if the public is to trust the information provided by it	Need to have a failsafe built inAddress biasesComply with regulations	Continuous assessment, modification and compliance with regulations
-Ongoing education and training of healthcare professionals are vital in the adoption of AI in healthcare -Education on ethical considerations	Ongoing education and training	Continuous education and training
-Doctors should always be the ones making the final decisions -Colleagues have less autonomy since machines are telling us what to do and when to do it -In the future, people will be in the hands of automated services; however, this could result in misdiagnoses and inaccurate assessment	Final decisions should be made by the doctors	Human expertise integration

Source(s): Authors’ own work