Healthcare Social Workers

Refer patient, client, or family to community resources to assist in recovery from mental or physical illness and to provide access to services such as financial assistance, legal aid, housing, job placement or education.

AI: Fully automatable - AI systems in 2025 can effectively search up-to-date community resource databases, match client needs to services, and generate referrals and contact information, enabling end-to-end automated referral workflows with human oversight as needed.

Monitor, evaluate, and record client progress according to measurable goals described in treatment and care plan.

AI: Fully automatable - AI can already and increasingly monitor measurable progress by extracting data from records, evaluating outcomes against goals, and producing structured progress reports, enabling largely automated monitoring and documentation workflows.

Oversee Medicaid- and Medicare-related paperwork and recordkeeping in hospitals.

AI: Fully automatable - Automation and AI integrated with EHRs can accurately manage, populate, validate, and maintain Medicaid/Medicare paperwork and records at scale with minimal human intervention.

Collaborate with other professionals to evaluate patients' medical or physical condition and to assess client needs.

AI: Partial - AI can synthesize medical records, suggest assessments, and support interdisciplinary communication, but collaborative clinical evaluation of patients and nuanced care planning still require human healthcare professionals.

Advocate for clients or patients to resolve crises.

AI: Partial - By 2025 AI can support crisis advocacy by generating guidance, outreach messages, and action plans, but it cannot reliably conduct real-world negotiations, carry legal authority, or substitute for human presence in high-stakes crisis resolution.

Counsel clients and patients in individual and group sessions to help them overcome dependencies, recover from illness, and adjust to life.

AI: Partial - AI can deliver evidence-based therapeutic content, facilitate structured sessions, and provide supportive chat interventions, but it cannot fully replicate the therapeutic alliance, complex clinical judgment, or manage high-risk clients without human clinicians.

Plan discharge from care facility to home or other care facility.

AI: Partial - AI can automate much of discharge planning logistics—identifying post-acute services, generating plans, and coordinating referrals—but final risk assessment, negotiations with providers, and legal/ethical decisions still require human oversight.

Modify treatment plans to comply with changes in clients' status.

AI: Partial - AI can analyze changes in client status and propose evidence-based modifications to treatment plans, but clinical responsibility and nuanced tailoring still require a human clinician to authorize and adapt recommendations.

Identify environmental impediments to client or patient progress through interviews and review of patient records.

AI: Partial - AI can identify likely environmental impediments by analyzing interviews, notes, and records and flag issues, but in-person inspection and contextual judgment are often needed to confirm and address barriers.

Organize support groups or counsel family members to assist them in understanding, dealing with, and supporting the client or patient.

AI: Partial - AI can organize logistics for support groups and provide family psychoeducation materials or moderated online facilitation, but effective family counseling and sensitive group facilitation still benefit from human clinicians.

Utilize consultation data and social work experience to plan and coordinate client or patient care and rehabilitation, following through to ensure service efficacy.

AI: Partial - AI can synthesize consultation data, suggest coordinated care plans, and track service delivery, but fully executing coordination, applying tacit social work experience, and ensuring service efficacy requires human follow-through and judgment.

Plan and conduct programs to combat social problems, prevent substance abuse, or improve community health and counseling services.

AI: Partial - AI can help design programs, produce materials, analyze community data, and suggest interventions, but cannot fully run community engagement or make contextual ethical judgments without human leadership.

Supervise and direct other workers providing services to clients or patients.

AI: Partial - AI can assist with scheduling, performance analytics, and guidance, but cannot fully replace human supervisors for personnel management, conflict resolution, and accountability.

Develop or advise on social policy and assist in community development.

AI: Partial - AI can generate policy analysis, model impacts, and draft recommendations, but human stakeholders, political judgment, and community negotiation remain essential for policy development and implementation.

Conduct social research to advance knowledge in the social work field.

AI: Partial - AI can perform literature reviews, data analysis, and drafting and can suggest hypotheses, but original study design, fieldwork, ethical oversight, and nuanced interpretation still require human researchers.

Investigate child abuse or neglect cases and take authorized protective action when necessary.

AI: Not automatable - Investigating child abuse and taking authorized protective action requires in-person investigation, legal authority, nuanced judgment, and mandated reporting that AI cannot perform or be entrusted with.