चिकित्सा सामाजिक कार्यकर्ता
स्वास्थ्य सेवासंयुक्त राज्य अमेरिका · BLS रोजगार अनुमान 2025–35: यह SOC कोड प्रकाशित मदों में शामिल नहीं है।
AI एक्सपोजर
- डेटा स्रोत: ILOप्रकाशन: 2025
0.28
0.09यहाँ दिए गए मानों की सीमा0.70व्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 यूनिट समूह — समान कोड वाले सभी व्यवसायों को यही मान मिलता है
यह इस साइट की गणना है, ILO द्वारा प्रकाशित आँकड़ा नहीं: इस साइट द्वारा ILO डेटासेट से जोड़े गए 1,012 व्यवसायों में से 73% इस मान के बराबर या उससे अधिक हैं।
- डेटा स्रोत: OpenAIप्रकाशन: 2023
0.289
0.000यहाँ दिए गए मानों की सीमा0.844मापक्रम, आधार और स्रोत
Task-level exposure
केवल एक्सपोज़र वाले कार्यValues in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Complete and maintain accurate records or reports regarding the patients' histories and progress, services provided, or other required information.O*NET Task ID 5584 | 1.0 |
Attend training sessions to increase knowledge and skills.O*NET Task ID 5592 | 1.0 |
Develop client treatment plans based on research, clinical experience, and client histories.O*NET Task ID 5585 | 0.5 |
Provide clients or family members with information about addiction issues and about available services or programs, making appropriate referrals when necessary.O*NET Task ID 5589 | 0.5 |
Plan or implement follow-up or aftercare programs for clients to be discharged from treatment programs.O*NET Task ID 5593 | 0.5 |
Follow progress of discharged patients to determine effectiveness of treatments.O*NET Task ID 5601 | 0.5 |
Develop, implement, or evaluate public education, prevention, or health promotion programs, working in collaboration with organizations, institutions, or communities.O*NET Task ID 5602 | 0.5 |
Counsel clients or patients, individually or in group sessions, to assist in overcoming dependencies, adjusting to life, or making changes.O*NET Task ID 5583 | 0.0 |
Review and evaluate clients' progress in relation to measurable goals described in treatment and care plans.O*NET Task ID 5586 | 0.0 |
Interview clients, review records, and confer with other professionals to evaluate individuals' mental and physical condition and to determine their suitability for participation in a specific program.O*NET Task ID 5587 | 0.0 |
Intervene as an advocate for clients or patients to resolve emergency problems in crisis situations.O*NET Task ID 5588 | 0.0 |
Modify treatment plans to comply with changes in client status.O*NET Task ID 5590 | 0.0 |
Coordinate counseling efforts with mental health professionals or other health professionals, such as doctors, nurses, or social workers.O*NET Task ID 5591 | 0.0 |
Conduct chemical dependency program orientation sessions.O*NET Task ID 5594 | 0.0 |
Counsel family members to assist them in understanding, dealing with, and supporting clients or patients.O*NET Task ID 5595 | 0.0 |
Participate in case conferences or staff meetings.O*NET Task ID 5596 | 0.0 |
Act as liaisons between clients and medical staff.O*NET Task ID 5597 | 0.0 |
Coordinate activities with courts, probation officers, community services, or other post-treatment agencies.O*NET Task ID 5598 | 0.0 |
Confer with family members or others close to clients to keep them informed of treatment planning and progress.O*NET Task ID 5599 | 0.0 |
Instruct others in program methods, procedures, or functions.O*NET Task ID 5600 | 0.0 |
Supervise or direct other workers providing services to clients or patients.O*NET Task ID 5603 | 0.0 |
Assess individuals' degree of drug dependency by collecting and analyzing urine samples.O*NET Task ID 18622 | 0.0 |
Train or supervise student interns or new staff members.O*NET Task ID 18623 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page
व्यावसायिक जानकारी
इस व्यवसाय से जुड़े हालिया बदलाव
मार्च 2026: Social workers पर AI impact evergreen blog post publish। Medical social workers: automation risk 26%, exposure 36%।
[स्रोत: AI Changing Work Blog]