Advancing Healthcare Through Interoperability: Implementing Scalable Solutions for Patient Data Integration.

Healthcare faces significant challenges in exchanging and utilizing health information across diverse providers, necessitating innovative solutions for improved interoperability. This study presents a comprehensive exploration of scalable technical and semantic solutions for patient care integration, emphasizing the implementation of these solutions within the framework of the Fast Healthcare Interoperability Resources (FHIR) standard. Our approach revolves around the development and deployment of Technical Interoperability Suite (TIS) and Semantic Interoperability Suite (SIS) technology solutions to disparate health information systems, predominantly Electronic Health Records (EHRs) into a unified Patient Care Platform, fostering comprehensive data exchange and utilization.

Developing a Help Desk Service for Enhanced Coordination in Health Informatics Projects: A Sharepoint and Power Automate Approach.

Healthcare projects necessitate effective collaboration between clinical and technical partners, particularly during pivotal phases like lab testing and piloting. However, challenges in coordination often impede seamless collaboration, leading to inefficiencies and delays. This paper presents a comprehensive approach to developing a help desk service tailored for CAREPATH projects, leveraging SharePoint services and Power Automate.

Interoperable E-Health System Using Structural and Semantic Interoperability Approaches in CAREPATH.

Technical and semantic interoperability are broadly used components of interoperability technology in healthcare. Technical Interoperability provides interoperability interfaces to enable data exchange within different healthcare systems, despite any underlying heterogeneity. Semantic interoperability make different healthcare systems understand and interpret the meaning of the data that is exchanged, by using and mapping standardized terminologies, coding systems, and data models to describe the concept and structure of data.

Caregivers of people with substance use or mental health disorders in the US.

Caregiving for persons with substance use and/or mental health disorders (SU/MHD) and other conditions places significant strains on caregivers. The present study used Behavioral Risk Factor Surveillance System (a US health survey) data to (1) compare caregivers of recipients with SU/MHD to those of recipients with other conditions on demographic and caregiving characteristics and health outcomes and (2) examine demographic and caregiving characteristics that were associated with poorer health outcomes among caregivers of persons with SU/MHD. Caregivers of people with SU/MHD were more likely than other caregiver groups (of recipients with medical, cognitive, developmental disability, and old age-related conditions) to report poor general health, physical health, and mental health, as well as activities limitations, having been diagnosed with depression, and binge drinking.

Structural and Semantic Mapping of Application Programming Interfaces.

Modern healthcare providers rely upon Electronic Healthcare Records (EHR) systems to record patient data inside their own organization. Some healthcare providers share this data to facilitate patient care with other providers. Medical devices and healthcare providers can use differing standards of recording healthcare information.