<![CDATA[Tenaga kesehatan menghadapi risiko gangguan muskuloskeletal (musculoskeletal disorders/MSDs) akibat manual handling, postur statis atau tidak ergonomis, aktivitas berulang, dan beban fisik yang tinggi. Metode observasional seperti REBA dan Nordic Body Map bermanfaat untuk skrining, tetapi memiliki keterbatasan dalam menangkap paparan biomekanika secara kontinu selama aktivitas kerja. Kajian sebelumnya telah meninjau wearable untuk penilaian risiko ergonomi pada tenaga kesehatan; namun, hubungan antara jenis perangkat, parameter biomekanika yang diukur, aktivitas kerja, implikasi keselamatan/kinerja, dan hambatan implementasinya belum dirangkum secara terpadu, khususnya dengan mempertimbangkan konteks Indonesia. Penelitian ini bertujuan mensintesis pemanfaatan wearable technology dalam analisis biomekanika tenaga kesehatan melalui Systematic Literature Review (SLR). Literatur tahun 2020–2026 ditelusuri melalui Google Scholar, Scopus, PubMed, ScienceDirect, dan IEEE Xplore, kemudian diseleksi menggunakan alur PRISMA 2020 hingga diperoleh 20 artikel untuk sintesis utama dan kontekstual. Temuan menunjukkan tiga pola utama: (1) sensor inersia/motion sensing mendukung pemantauan postur dan gerak secara kontinu; (2) sEMG dan sensor fisiologis melengkapi evaluasi aktivitas otot dan kelelahan; dan (3) biofeedback serta sistem asistif menunjukkan potensi untuk mendukung koreksi ergonomi, meskipun bukti penurunan kejadian MSDs dan peningkatan produktivitas masih terbatas. Heterogenitas desain, populasi, perangkat, dan outcome membatasi penarikan kesimpulan kausal. Dengan demikian, wearable lebih kuat didukung sebagai alat pemantauan dan penilaian risiko dibanding sebagai intervensi yang telah terbukti menurunkan MSDs. Healthcare workers are exposed to musculoskeletal disorder (MSD) risks arising from patient handling, sustained or non-ergonomic postures, repetitive activities, and high physical workloads. Conventional observational tools such as REBA and the Nordic Body Map are useful for screening but provide limited continuous information on biomechanical exposure during work. Previous reviews have addressed wearable technologies for ergonomic risk assessment in healthcare professionals; however, the links between device type, measured biomechanical parameter, work activity, safety/performance implications, and implementation barriers have not been synthesized in an integrated manner, particularly with attention to the Indonesian context. This study systematically reviews the use of wearable technology for biomechanical analysis among healthcare workers. Literature published from 2020 to 2026 was searched in Google Scholar, Scopus, PubMed, ScienceDirect, and IEEE Xplore and screened using a PRISMA 2020 flow, yielding 20 articles for the main and contextual synthesis. Three main patterns emerged: (1) inertial and motion-sensing systems support continuous posture and movement monitoring; (2) sEMG and physiological sensors complement assessments of muscle activity and fatigue; and (3) biofeedback and assistive systems show potential to support ergonomic correction, although evidence for reducing MSD incidence or improving productivity remains limited. Heterogeneity in study design, populations, devices, and outcomes limits causal inference. Overall, current evidence more strongly supports wearables as monitoring and risk-assessment tools than as proven interventions for preventing MSDs.]]>
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