This article presents a systematic literature review done to evaluate the feasibility and benefits of home-based information and communications technology enabled interventions for chronic disease management, with emphasis on their impact on health outcomes and costs. Relevant articles were retrieved from PubMed and evaluated using quality worksheets with pre-identified inclusion and exclusion criteria. Of the 256 articles retrieved, 27 were found to concord with the study criteria. Evaluation of the identified articles was conducted irrespective of study design, type of home-based intervention or chronic disease involved. The review demonstrates that HBIs applied to chronic disease management improve functional and cognitive patient outcomes and reduce healthcare spending. However, further research is needed to assess benefit in terms of evidence-based outcome indicators (that can provide a basis for meta-analysis), to confirm sustainable cost benefits, and to systematically collect data on physician satisfaction with patient management.

This article presents a study to evaluate the accuracy of drug interaction (DI) alerts triggered by two electronic medical record (EMR) systems in primary healthcare. A scenario-based software architecture analysis methodology (SAAM) was used with drug-drug interaction (DDI) pairs in hypothetical patient scenarios. A literature search identified common drugs used in the management of conditions in the elderly population. Three reference programs determined the level of severity of drug interactions, and a common severity rating scale was adapted. The EMR systems showed a limited potential to identify 'severe' clinically significant DDIs and considerable probability for triggering spurious alerts. This may explain the overriding of DI alerts and the interruption of the workflow of users of EMR systems. Reasons for EMR system deficiency included unavailable updates or programming, database functioning discrepancies, and controversies in the clinical evidence.

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