ABSTRACT
Providing a suitable rehabilitation after an acute episode or a chronic disease helps people to live independently and enhance their quality of life. However, the continuity of care is often interrupted in the transition from hospital to home. Virtual coaches (VCs) could help these patients to engage in personalized home rehabilitation programs. These coaching systems need also to be fed with procedural precepts in order to work as intended. This, in turn, relates both to properly represent the clinical knowledge (as the VC somehow replaces the formal caregivers that cannot be fully present) as well guide the patient correctly (in order to follow the medically desired procedures given the need for personalisation according to individual needs). Therefore, we outline our technical approach to deal with this. In particular, clinical pathways in terms of semi-formal procedure models in combination with machine learning components processing and powerful user interfaces providing these pathway information and feeding the VC are presented. The system is currently under testing in a participatory design phase called Living Lab. Thus, initial user feedback for further improvements is about to come.
Subject(s)
Mentoring , Quality of Life , Caregivers , Chronic Disease , HumansABSTRACT
Health care systems need to cope with continuous changes such as with the current trends towards pay-for-performance and value-based health care. In this context, the article aims at analysing the potentials of the integration and utilisation of quality indicators in clinical pathways. It comprises the first steps of a design-oriented research process, i.e. problem motivation and objective definition. Therefore, a conceptual framework for pathway-integrated quality indicators is proposed. Potentials of the approach are outlined in three use case scenarios. The analysis points out great potentials for quality management on institutional and network level and for bridging the gap between medical research and practice. Further research topics are derived and summarised in an agenda.
Subject(s)
Critical Pathways/standards , Quality Indicators, Health Care/organization & administration , Insurance, Health, Reimbursement , Quality Assurance, Health Care/economics , Quality Assurance, Health Care/methodsABSTRACT
The specification and customization of clinical document types are tasks that need a strong collaboration between domain experts and IT specialists. However, these collaborators are often faced with difficulties due to different interpretation of domain knowledge. Therefore, an adequate method for sharing domain knowledge about documents is necessary. Even though there are some tools that help to define medical document types, there is a lack of approaches that focus on the understandability of the specification for the domain experts. This paper proposes a modeling approach based on the Clinical Document Architecture to address this gap.