| Abstract |
Clinical laboratories have evolved with technological advancements through integrating various subsystems into
Health Information Systems (HIS), particularly the Laboratory Information System (LIS). The LIS automates
processes, manages results, and interfaces with healthcare information sources. Challenges include workflow
inefficiencies and data interpretation issues. Despite increased data accessibility, managing clinical data across
systems remains complex. Integrating laboratory machines into LIS is essential for optimizing healthcare delivery, requiring effective integration technologies. This study aims to synthesize the existing empirical studies
on the utilization of integration technologies for Software-to-Software (S2S) communication in automating
clinical laboratory processes. This study systematically examined integration technologies in LIS using PubMed
and following PRISMA 2020 guidelines. The three-phase methodology included a scoping analysis, methodological analysis, and a gap analysis, focusing on S2S communication, interoperability frameworks, data standards, communication protocols, and challenges in LIS integration technologies. Analysis of 28 sample studies
revealed a complex landscape in LIS integration shaped by end-users, care providers, and researchers. Clinical
laboratories prioritize integration, focusing on patient data and sustainability. Standards like HL7 and FHIR
ensure interoperability. Eleven methodologies highlight system development in Health Information Systems
(HIS). Interoperability is a common objective, with 22 out of 28 studies achieving success. Challenges include
limited generalizability, poor validation, and post-implementation modifications. Issues like security, data incompatibility, and evolving standards persist. |
Mindanao State
University - Iligan Institute of Technology