Introduction: Developing countries are increasingly strengthening national health
information systems (HIS) for evidence-based decision-making. However, the inability to …

Research objective To develop scalable informatics infrastructure for normalization of both
structured and unstructured electronic health record (EHR) data into a unified, concept …

Using electronic health records (EHR) to automate publicly reported quality measures is
receiving increasing attention and is one of the promises of EHR implementation. Kaiser …

Background Big data analytics promise insights into healthcare processes and
management, improving outcomes while reducing costs. However, data quality is a major …

Objective Seamless access to information about the individuals and organizations involved
in the care of a specific patient (“care teams”) is crucial to effective and efficient care …

Background Our study aims to assess the influence of data quality on computed Dutch
hospital quality indicators, and whether colorectal cancer surgery indicators can be …

The definition of quality healthcare, its accurate measurement, and its effective management
is nebulous and constantly evolving. Even the most respected and knowledgeable experts …

Abstract The interoperability of Clinical Decision Support (CDS) systems is an important
obstacle for their adoption. The lack of appropriate mechanisms to specify the semantics of …

The ability of a health information exchange (HIE) to consolidate information, collected from
multiple, disparate information systems, into a single, person-centric health record can …

Automated execution of electronic Clinical Quality Measures (eCQMs) from electronic health
records (EHRs) on large patient populations remains a significant challenge, and the …