Utilization of Information Systems to Improve Health Services in Community Health Centers

Abstract

Background: The adoption of Health Information Systems (HIS) has transformed healthcare service delivery by enhancing efficiency, reducing errors, and improving patient satisfaction. However, the extent to which HIS impacts healthcare service satisfaction remains a subject of debate, influenced by technological, institutional, and human factors. 
Objective: This study systematically reviews recent literature to assess the relationship between HIS implementation and healthcare service satisfaction, identifying key determinants and barriers affecting its adoption. 
Methods: A systematic literature review (SLR) was conducted using bibliographic databases such as Scopus, Google Scholar, and CrossRef via the Harzing’s Publish or Perish (PoP) application. Articles published between 2019 and 2024 were selected based on predefined inclusion criteria, focusing on empirical studies that evaluate HIS impact on patient satisfaction, service quality, and healthcare efficiency. Data were synthesized and analyzed to identify common themes, key findings, and gaps in existing research. 
Results: The findings indicate that HIS positively influences patient satisfaction by improving service accessibility, reducing waiting times, and enhancing provider-patient communication. Key factors influencing HIS effectiveness include technological infrastructure, staff training, and system interoperability. However, financial constraints, resistance to change, and insufficient training emerged as significant barriers to successful HIS adoption. Additionally, disparities in HIS implementation across different healthcare settings contribute to variations in patient satisfaction outcomes. 
Implication: The study highlights the critical role of HIS in enhancing healthcare service satisfaction but also emphasizes the need for strategic interventions to overcome adoption barriers. Future research should focus on the long-term sustainability and scalability of HIS, particularly in resource-limited settings. The integration of emerging technologies such as Artificial Intelligence (AI) and machine learning may further enhance HIS effectiveness and patient satisfaction in the healthcare sector.