Methodologies for designing healthcare analytics solutions: A literature analysis.

Healthcare analytics has been a rapidly emerging research domain in recent years. In general, healthcare solution design studies focus on developing analytic solutions that enhance product, process and practice values for clinical and non-clinical decision support. The objective of this study is to explore the scope of healthcare analytics research and in particular its utilisation of design and development methodologies.

Follow-Up Decision Support Tool for Public Healthcare: A Design Research Perspective.

Objectives: Mobile health (m-Health) technologies may provide an appropriate follow-up support service for patient groups with post-treatment conditions. While previous studies have introduced m-Health methods for patient care, a smart system that may provide follow-up communication and decision support remains limited to the management of a few specific types of diseases. This paper introduces an m-Health solution in the current climate of increased demand for electronic information exchange.

Physician Judgments and the Burden of Chronic Pain.

Objective: In a moderated mediation model, this study examined the interaction effect of pain severity and medical evidence on physician judgments of chronic pain. The effects of higher pain severity on physician judgments were expected to be mediated through anticipated clinical burden, but only when medical evidence was low.

Design: Participants were randomly assigned to one of six case descriptions of a chronic pain patient in a 3 × 2 design that varied by reported pain severity (4, 6, 8/10) and medical evidence (low vs high).