ORISMA: An R Package for Occupational Risk Integrated Systematic Mapping and Analysis—Design, Indicators, and Application to Metal Additive Manufacturing

General-purpose bibliometric tools do not address domain-specific needs of occupational safety and health (OSH) evidence mapping, such as quantifying whether the literature connects hazard characterisation with real worker exposure or identifying which articles best bridge science and preventive practice. This paper presents ORISMA (Occupational Risk Integrated Systematic Mapping and Analysis), an open-source R package that introduces five preventive bibliometric indicators: the Worker–Risk Disconnection Index (WRDI), Risk Category Saturation Index (RCS), Material–Gap Profile (MGP), Abstract Sufficiency Score (ASS), and Bridge Article Score (BAS). A complete evidence map is produced through three function calls. To demonstrate the package, we apply it to a corpus of bibliographic records on occupational risks in metal additive manufacturing (metal AM), retrieved from Web of Science, Scopus, ProQuest, and PubMed. After conservative relevance-guard filtering (191 records retained) and three-step deduplication, 76 unique records were analysed. The global WRDI was 0.4474, indicating moderate disconnection between hazard characterisation and worker exposure evidence. Industrial hygiene and emerging technology domains dominated preventive coverage, while safety, ergonomics, psychosocial, and biological risk domains were largely absent. Eighteen strong bridge articles were identified. The material–risk co-occurrence map showed no detected co-occurrence between explosion/fire or asphyxiant-gas risks and any material, reflecting an absence of explicit terminology in the retrieved literature rather than a definitive absence of evidence. ORISMA provides a reproducible, domain-aware framework that requires further validation across independent OSH domains before broad generalization.