Focus and Scope

Jurnal Kesehatan dan Keperawatan Inovatif (JK2I) is an international, peer-reviewed, open-access journal published by Lembaga Penelitian, Pengabdian Masyarakat dan Penerbitan Universitas Muhammadiyah Mahakarya Aceh. The journal is dedicated to providing a high-quality platform for researchers, academicians, advanced practice nurses, clinicians, and health policymakers to disseminate innovative, evidence-based research that transforms healthcare delivery and improves patient outcomes.

The journal focuses specifically on the intersection of traditional healthcare practices with cutting-edge innovations, digital transformations, and contemporary public health strategies.

JK2I welcomes original research articles, systematic reviews, meta-analyses, and comprehensive case studies. The scope of the journal encompasses four primary thematic pillars:

1. Innovative Nursing Practices & Advancements

This area focuses on modern methodologies, clinical trials, and transformative approaches across all nursing specialties aimed at optimizing patient care and safety.

  • Clinical & Critical Care Nursing: Advanced interventions in intensive care, emergency nursing, and acute clinical settings.

  • Community & Home-Health Nursing: Family-centered care, rural healthcare initiatives, and community-based health interventions.

  • Maternal, Pediatric, & Gerontological Nursing: Innovative approaches to age-specific populations, pediatric developments, and elderly long-term care management.

  • Mental Health & Psychiatric Nursing: Holistic psychiatric care, psychological resilience frameworks, and community mental health strategies.

2. Public Health, Epidemiology, & Environmental Health

This area addresses population-level health dynamics, preventative strategies, and socio-environmental determinants of health.

  • Epidemiology & Disease Surveillance: Research on infectious diseases, non-communicable diseases (NCDs), and outbreak investigation models.

  • Health Promotion & Behavioral Sciences: Evidence-based health education campaigns, lifestyle modification studies, and community empowerment.

  • Occupational & Environmental Health: Workplace safety standards, toxicology, climate change impacts on health, and sanitary engineering.

3. Healthcare Technology & Digital Health Informatics

This pillar highlights the integration of modern digital infrastructure, computing power, and technological solutions into medical and nursing environments.

  • Digital Health & Telehealth: Telemedicine, remote patient monitoring systems, and mobile health (mHealth) applications.

  • Smart Nursing Management: Smart workflows, electronic health record (EHR) optimization, and tech-driven shift alignment.

  • Artificial Intelligence (AI) in Healthcare: Applications of Machine Learning, predictive analytics for disease prognosis, and clinical decision support systems (CDSS).

4. Healthcare Management, Leadership, & Policy

This area explores the organizational, economic, and administrative legal frameworks that govern global healthcare delivery systems.

  • Healthcare Administration & Hospital Management: Quality assurance protocols, patient satisfaction optimization, and human resource management in health systems.

  • Health Economics & Policy Analysis: Cost-effectiveness analyses of health interventions, universal health coverage strategies, and healthcare legislation evaluation.

  • Nursing Leadership & Education: Contemporary curricula development, nursing competency frameworks, and ethical leadership in complex clinical environments.

Key Submission Criteria

  • Originality & Integrity: All manuscripts must present original research that has not been published or currently considered elsewhere. High scientific rigor and ethical clearance (where applicable) are absolute requirements.

  • Innovation Factor: Submissions must explicitly highlight the "innovative" or transformative aspect of the findings, explaining how the study advances current knowledge or practices in healthcare.

  • Global Relevance: While local or regional data studies are highly welcome, the discussion must frame the implications within a broader global or translatable context.