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Holistic health: Predicting our data future (from inter-operability among systems to co-operability among people)

Highlights ► Effective semantic interoperability can only be obtained with structured routine data in predictable situations. ► Managerial, organizational, clinical and administrative priorities guide policy makers to select predictable situations. ► Structured routine data can be used for multiple...

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Published in:International journal of medical informatics (Shannon, Ireland) Ireland), 2013-04, Vol.82 (4), p.e14-e28
Main Authors: Rossi Mori, Angelo, Mazzeo, Marta, Mercurio, Gregorio, Verbicaro, Rita
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Language:English
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description Highlights ► Effective semantic interoperability can only be obtained with structured routine data in predictable situations. ► Managerial, organizational, clinical and administrative priorities guide policy makers to select predictable situations. ► Structured routine data can be used for multiple purposes, also to timely extract indicators for management purposes. ► Ability to cooperate (co-operability) among people requires relevant data in right context with agreed admitted values. ► Willingness to cooperate requires agreements among organizations, which depend on regulations and cultural background.
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subjects Attention Points
Care pathways
Communication
Cooperative Behavior
Data quality
eHealth policies
Holistic Health
Humans
Internal Medicine
Long-term conditions
Other
Patient engagement
Policy-Oriented Health Record
Semantic interoperability
Social care
Systems Integration
title Holistic health: Predicting our data future (from inter-operability among systems to co-operability among people)
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