Table 6. Guidelines for healthcare SMEs... | Emerald Publishing

Table 6.

Guidelines for healthcare SMEs integrating GenAI for social impact creation

Guidelines	Guiding questions	Potential answers	Recommended actions
1. Identify social impact priority area	Q1: What service ecosystem actors are at risk in terms of their well-being?	Patients Professionals Organizations	Map key actors in the service ecosystem and gather their feedback (short interviews, surveys, informal discussions) Identify service ecosystem actors with the highest well-being risks
	Q2: What are the most important well-being risks healthcare SMEs face?	Suboptimal care Excessive workload	List where well-being is compromised Identify 2–3 most critical problems to address first
	Q3: What resource constraints of healthcare SMEs shape these well-being risks?	Funding challenges Inadequate infrastructure Staff shortages	Assess financial, capacity, and capability constraints Identify most prominent resource constraints
2. Explore GenAI social impact potential	Q4: What well-being opportunities of GenAI match the well-being risk that service ecosystem actors face?	Improved diagnostics and outcomes through GenAI Improved teamwork and collaboration through GenAI Enhanced knowledge management through GenAI	Explore GenAI tools for enhanced healthcare performance Explore GenAI tools for improved accessibility and efficiency Explore GenAI tools that optimize support system
2. Explore GenAI social impact potential	Q5: What well-being opportunities match the resource constraints that shape these well-being risks?	GenAI tools at affordable price GenAI tools requiring limited infrastructure GenAI tools with minimal training requirements	Explore GenAI tools that fit financial constraints (e.g. low-cost or subscription-based GenAI tools) Explore GenAI tools that fit with capacity and/or capability constraints (e.g. widespread GenAI solutions)
3. Implement the identified potential of GenAI for social impact creation	Q6: What well-being risks do providers of GenAI applications (not) foresee?	Ethical and legal concerns Reluctance and stress Altering healthcare jobs Taking over decision-making	Check what measures providers of GenAI tools take to reduce well-being risks across service ecosystem actors Make a list of well-being risks that are not tackled by providers of GenAI tools
	Q7: What actions are needed to enhance the well-being of all service ecosystem actors when integrating GenAI applications?	Obtain patient consent for data usage by GenAI tools Manage caregiver resistance against GenAI integration Establish clear guidelines for GenAI use in organizational decision-making	Ensure compliance with ethical and legal standards when integrating GenAI Start with pilot testing GenAI tools in small units before large-scale implementation to establish GenAI maturity Gather multi-actor feedback about social impact creation with GenAI tools and involve GenAI providers and other service ecosystem actors in tackling any issues

Guidelines	Guiding questions	Potential answers	Recommended actions
1. Identify social impact priority area	Q1: What service ecosystem actors are at risk in terms of their well-being?	Patients Professionals Organizations	Map key actors in the service ecosystem and gather their feedback (short interviews, surveys, informal discussions) Identify service ecosystem actors with the highest well-being risks
	Q2: What are the most important well-being risks healthcare SMEs face?	Suboptimal care Excessive workload	List where well-being is compromised Identify 2–3 most critical problems to address first
	Q3: What resource constraints of healthcare SMEs shape these well-being risks?	Funding challenges Inadequate infrastructure Staff shortages	Assess financial, capacity, and capability constraints Identify most prominent resource constraints
2. Explore GenAI social impact potential	Q4: What well-being opportunities of GenAI match the well-being risk that service ecosystem actors face?	Improved diagnostics and outcomes through GenAI Improved teamwork and collaboration through GenAI Enhanced knowledge management through GenAI	Explore GenAI tools for enhanced healthcare performance Explore GenAI tools for improved accessibility and efficiency Explore GenAI tools that optimize support system
2. Explore GenAI social impact potential	Q5: What well-being opportunities match the resource constraints that shape these well-being risks?	GenAI tools at affordable price GenAI tools requiring limited infrastructure GenAI tools with minimal training requirements	Explore GenAI tools that fit financial constraints (e.g. low-cost or subscription-based GenAI tools) Explore GenAI tools that fit with capacity and/or capability constraints (e.g. widespread GenAI solutions)
3. Implement the identified potential of GenAI for social impact creation	Q6: What well-being risks do providers of GenAI applications (not) foresee?	Ethical and legal concerns Reluctance and stress Altering healthcare jobs Taking over decision-making	Check what measures providers of GenAI tools take to reduce well-being risks across service ecosystem actors Make a list of well-being risks that are not tackled by providers of GenAI tools
	Q7: What actions are needed to enhance the well-being of all service ecosystem actors when integrating GenAI applications?	Obtain patient consent for data usage by GenAI tools Manage caregiver resistance against GenAI integration Establish clear guidelines for GenAI use in organizational decision-making	Ensure compliance with ethical and legal standards when integrating GenAI Start with pilot testing GenAI tools in small units before large-scale implementation to establish GenAI maturity Gather multi-actor feedback about social impact creation with GenAI tools and involve GenAI providers and other service ecosystem actors in tackling any issues

Note(s):

Q = question

Source(s): Authors’ own work