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Pluralistic Healthcare

root definitions a systems investigation using soft

systems methodology recommendations, leading to a list

of requirements

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Executive Summary

Having developed a root definition to describe the “primary task” of a desired system with healthcare practitioners, it is important to highlight that for the purposes of meeting the objectives outlined for the conference event, what is presented here is an “issue based” system model. Once market need has been identified and a thorough investigation and system design is warranted, a primary task model will be constructed.

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System Overview

“A healthcare company owned system, operated by suitably skilled personnel, to gather information and data on emergent learning methods, in line with current standards of practice, governing legislation and accreditation requirements, by personalising the clinician learning experience and achieving valued ends whilst serving patients, utilising suitable delivery environments, delivering dynamic content and bespoke learning tools, in order to make recommendations on and actively engage clinicians in improving competencies, skills, performance and patient outcomes, while recognising budget, technological and time constraints.”

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Root Definition – Primary Task

“A system to effectively promote active engagement by clinicians in achieving valued ends through personalising the learning experience when serving patients, by utilising suitable virtual environments in delivering relevant dynamic content and bespoke learning tools in order to ensure timely delivery of a demonstration to conference, while recognising budget, technological and time constraints.”

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Root Definition – Issue Based

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Issue Based Conceptual Model

Standard methods by which active engagement is promoted and supported are identified, and then a determination made as to which of these methods directly applies or can be adapted to function more effectively through the use of virtual environments.

5-10 Industry Champions identified and invited to participate in a demonstrational conference remotely through the use of the virtual environment.

Up to 5 other present acting as patients, represented by avatars showing system capabilities.

Monitors to be present virtually, made up from technical staff, an adjudicator or moderator and Innovirtua support staff.

Industry Champions effectively introduced and orientated to the virtual environment in order to successfully showcase the technology through dynamic content.

Assessment methods devised (through the use of surveys or interviews/commentary) by which monitoring of the process may be determined.

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Demo Recommendations

Healthcare Staff should be involved and actively engaged in the creation of dynamic content for the event. Examples may include but not be limited to, avatars which show the different layers of the human body (bone, muscle, organs, skin etc) and also specific conditions, an “electrical storm” has been discussed.

Dynamic content should also govern the “experience” and should reflect real life practice in relevant ways in order to present a realistic option for clinicians and patients alike.

Valued ends should be quantifiable as “patient outcomes” with use cases

The personalised learning experience should be qualitative in nature and defined as an intangible, feedback should be obtained as to how successful this has been.

Criteria for the identification of a suitable virtual environment: Fit for purpose Stable Secure Cost Effective Ability to create dynamic content Ability to implement learning tools

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Platform Recommendations

Recommended platform is Open Source Grid, running on the equivalent of a class 7 server using web services and benchmarking software.

Backup system is Second Life Grid through logging in remotely.

Patient “use cases” identified and scripted with live conference interaction in mind.

Machinima Infomation Media (MIM) made in order to present the system initially and support methods by which processes can be highlighted to remote users in the form of tutorials.

Example patients in avatars that best represent there pre-identified condition to act out use cases with clinicians.

Development of Balanced Scorecard, assessment methods for clinician learning experience to highlight process, feedback forms and the ability to showcase the secure delivery of medical data in line with governing data legislation.

Specific deliverables in differing types of dynamic content, for the purposes of the conference, examples of medical technologies, patient support and clinician supporting content.

Deliverables in place by 28th January 2009.

Systems testing and benchmarking throughout, deadline 4th February 2009.

Training and orientation by 6th February.

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Project Recommendations