Health and Medical Administration Commons^™

Complex Adaptive Systems As A Model For Evaluating Organisational Change Caused By The Introduction Of Health Information Systems, Kieren Diment Mr, Ping Yu, K. Garrety

Dr Ping Yu

This paper documents the preliminary development of a framework for evaluating organisational change processes during the implementation of an electronic nursing documentation system in residential aged care facilities. It starts with a brief outline of organisational change processes. This is followed by a more detailed exposition of the principles underlying complex adaptive systems (CAS) theory, where we explain how mathematical concepts can be used to illuminate qualitative research approaches. Finally we present some preliminary findings on the facilitators and barriers for the introduction of the electronic documentation system, explained with reference to the CAS theory, based on analysis of interviews …

Complex Adaptive Systems As A Model For Evaluating Organisational Change Caused By The Introduction Of Health Information Systems, Kieren Diment Mr, Ping Yu, K. Garrety

Karin Garrety

This paper documents the preliminary development of a framework for evaluating organisational change processes during the implementation of an electronic nursing documentation system in residential aged care facilities. It starts with a brief outline of organisational change processes. This is followed by a more detailed exposition of the principles underlying complex adaptive systems (CAS) theory, where we explain how mathematical concepts can be used to illuminate qualitative research approaches. Finally we present some preliminary findings on the facilitators and barriers for the introduction of the electronic documentation system, explained with reference to the CAS theory, based on analysis of interviews …

Ehrs Connect Research And Practice: Where Predictive Modeling, Artificial Intelligence, And Clinical Decision Support Intersect, Casey C. Bennett, Thomas W. Doub, Rebecca Selove

Center for Prevention Research Publications

Objectives

Electronic health records (EHRs) are only a first step in capturing and utilizing health-related data—the challenge is turning that data into useful information. Furthermore, EHRs are increasingly likely to include data relating to patient outcomes, functionality such as clinical decision support, and genetic information as well, and, as such, can be seen as repositories of increasingly valuable information about patients’ health conditions and responses to treatment over time.

Methods

We describe a case study of 423 patients treated by Centerstone within Tennessee and Indiana in which we utilized electronic health record data to generate predictive algorithms of individual patient …