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Information and Knowledge Management using ArcGIS ModelBuilder

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Kate Dymoke-Bradshaw <strong>and</strong> Ann Brown<br />

In consequence, some components of the DoI model do not go into the detail needed in addressing<br />

how to implement a complex new IS successfully within an individual health care organisation such as<br />

a hospital, or are based on assumptions that are not fully valid in the situations that we are interested<br />

in.<br />

The IS innovation <strong>and</strong> implementation literature has a number of useful concepts <strong>and</strong> theories that do<br />

apply to these situations, in particular those based on research into the implementation of enterprise<br />

resource planning (ERP) systems. Although commercially available healthcare records systems, such<br />

as the CRS, <strong>and</strong> ERP systems are targeted at very different markets, there are a number of<br />

similarities which make the findings from ERP applicable to healthcare records systems:<br />

Both are complex packaged solutions<br />

Both require the organisation to change <strong>and</strong> integrate its processes to fit the software<br />

Both produce <strong>and</strong> access information in a real-time environment<br />

Both have proved challenging to implement successfully in practice (Berg, 2001; Car et al., 2008;<br />

Coiera, 2003; Nah et al., 2001; Robey et al., 2002)<br />

We have therefore adapted the model <strong>and</strong> supplemented it with a number of additional theories to<br />

form our reflective framework. Specific areas we have drawn on include mindful innovation (Swanson<br />

<strong>and</strong> Ramiller, 2004), commitment to the project (Kim <strong>and</strong> Kankanhalli, 2009; Nah et al., 2001), user<br />

involvement <strong>and</strong> participation (Robey et al., 2002; Vaughan, 2001), managing resistance (Kim <strong>and</strong><br />

Kankanhalli, 2009; Vaughan, 2001) <strong>and</strong> building clinical engagement (Kaplan <strong>and</strong> Harris-Salamone,<br />

2009; NHS Institute for Innovation <strong>and</strong> Improvement, 2008; Siriwardena, 2009), overcoming<br />

knowledge barriers (Robey et al., 2002), managing change (Nah et al., 2001), minimising<br />

customisation (Nah et al., 2001), <strong>and</strong> managing process redesign (Berg, 2001; Heeks, 2006).<br />

3. A reflective framework for successful IS implementation<br />

The framework is organised into ten components, nine of which are exactly the same as those that<br />

Greenhalgh identified. We have added one key additional component (item 3.7 below) – the<br />

adaptation process by which a good fit is developed between the information system <strong>and</strong> the<br />

organisation that will use it. The framework takes the form of a series of questions that the Project<br />

Manager needs to address.<br />

The numbering does not denote an ordering of the components. Although some components need to<br />

be settled early in the project life cycle (for example 3.1 Material properties of the technology <strong>and</strong> 3.9<br />

Linkage), most components need to be addressed in parallel from the beginning of the project. Indeed<br />

many of the components raise issues that need active managing long after the initial successful<br />

installation if the hospital is to reap the full benefit of the new IS <strong>and</strong> reach Cooper <strong>and</strong> Zmud’s (1990)<br />

final stage of infusion.<br />

Mindful innovation (Swanson <strong>and</strong> Ramiller, 2004) can be thought of as an overarching principle for<br />

the successful implementation of IS innovations in healthcare <strong>and</strong> is a fundamental concept<br />

underpinning many of the components of the framework. Successful implementation cannot be<br />

achieved without careful reflection on what is appropriate in a given situation. A mindful approach<br />

takes account of the specifics of the complex healthcare environment with its many relationships <strong>and</strong><br />

interactions <strong>and</strong> with the need to respond to unexpected events. It investigates <strong>and</strong> addresses<br />

problems <strong>and</strong> risks, recognising different perspectives <strong>and</strong> conflicting needs, <strong>and</strong> it is flexible in<br />

situations that may be inherently uncertain <strong>and</strong> subject to crisis.<br />

The key aspects of each component are presented <strong>and</strong> explained below.<br />

3.1 Material properties of the technology<br />

Are the key functional requirements well understood? How have they been / will they be documented?<br />

What are the key use cases? How well are they understood / defined?<br />

Which functional requirements cannot be fully met by the system? Where are the most serious gaps? How can<br />

these be worked around?<br />

Are non-functional requirements (e.g. system capacity, performance, access <strong>and</strong> security, availability, backup<br />

operation in the event of outages) well understood?<br />

What additional hardware/networking will be required to support use of the system?<br />

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