Consumer-Centered Consent Automation in Health Information Exchange.

Considering consumer preferences, this paper proposes computer-readable policy expressions to govern data sharing and use in consent-based health information exchange. Consent automation is an essential component of digital health transformation efforts, enabling better consumer choices in using their sensitive data while unlocking new values through policy-aware workflow expressions. The approach is based on the HL7 FHIR standard while using the obligation and responsibility concepts formally defined in the ISO ODP Enterprise Language (ODP-EL) standard.

Assessment of the Quality of Cause-of-Death Data in Serbia for 2005-2019 Vital Statistics Performance Index Estimation.

Background: We aimed to evaluate the quality of the cause of death (COD) concerning mortality patterns and completeness of death registration to identify areas for improvement in Serbia.

Methods: COD data collected from the mortality register in Serbia from 2005 to 2019 (1540615 deaths) were analyzed with the software Analysis of National Causes of Death for Action. The Vital Statistics Performance Index for Quality (VSPI(Q)) is estimated for the overall COD data quality.

The trend of the quality of cause-of-death data and its association with socio-economic indicators in Serbia in the period 2005-19.

This study aims to evaluate the temporal trend in the quality of cause-of-death data and garbage code profiles and to determine its association with socio-economic status in Serbia. A longitudinal study was assessed using data from mortality registers from 2005 to 2019. Computer application Analysis of Causes of National Deaths for Action (ANACONDA) calculates the distribution of garbage codes by severity and composite quality indicator: Vital Statistics Performance Index for Quality (VSPI(Q)).

Digital Health Consent - for Better Interoperability and Consumer Control.

We present a framework for digital health consent in support of computable expression of medico-legal policies to govern consumer data sharing across providers. The approach is aligned with HL7 FHIR© standard, and is based on generic formalism for policy modelling, grounded in normative systems and deontic logic. We show the use of the framework for a clinical research scenario.