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Also, what is developed sometimes needs to become familiar and then its use may become more adaptive to our needs, not the other way around We can be as creative in the eventual use of something as was the inventor who originated it However, we also have a responsibility to offer some forethought or foresight as to potential uses or misuses of the new while balancing the good with the limitations In today s era of postmodern knowledge management, clinical leaders must be accountable in knowing of the new and evolving capacities offered by advancements in various fields Technology, while not a magic bullet, may be a definite help in bringing EBP implementation without a Herculean effort for clinicians Blindly adding computers to solve problems or improve systems is pure fantasy Technological enhancement of bad systems usually makes them worse ( but faster!).

14 / Employee Benefits (IAS 19)

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There is a paradox of having financially strapped systems, hospitals, practices, and agencies maximize the use of EBPs or clinical outcomes while not alienating the clinician or the client, and do so cost-effectively Everyone from the fans of complex science to Zen Buddhists understands the nonlinear causal aspects and interconnectedness of things that may initially seem unrelated Yet when we think of all the interactive aspects of why behavioral illness may manifest from genetics to experience to culture to stress to social contacts and so on we can begin to appreciate the inherent difficulty associated with providing optimal care when needed.

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Wireless LAN (WLAN) Working Group Chairman E-mail: stuart.kerry@philips.com Stuart Kerry Wireless Personal Area Network (WPAN) Working Group Chairman Bob Heile E-mail: bheile@ieee.org Broadband Wireless Access (BBWA) Working Group Chairman E-mail: r.b.marks@ieee.org Roger Marks Resilient Packet Ring (RPR) Working Group Chairman E-mail: tak@cisco.com Mike Takefman Radio Regulatory Technical Advisory Group Chairman E-mail: carl.stevenson@ieee.org Carl Stevenson Coexistence Technical Advisory Group Chairman E-mail: stephen.j.shellhammer@intel.com Steve Shellhammer Mobile Wireless Access Working Group Chairman E-mail: Jerry1upton@aol.com Jerry Upton Media Independent Handover Working Group Chairman E-mail: ajayrajkumar@lucent.com Ajay Rajkumar

With the progression of integrated databases and Electronic Medical Records (EMRs), the proliferation of PDA /notebook /tablet computer input devices along with the ubiquity of Web access, and the growing demand for cost-effective and high-quality services for all, EBP initiatives may serve to weave together differential diagnostics and therapeutics with the latest in evidence-based therapies in a way that is robust, individualized, and never obsolete Undoubtedly, there will be a development and deployment of various models and methods of EBPs as time passes And it is expected that EBPs will be always adapting as the science matures, as new treatments come online, and as we simply learn more This author developed a model known as ClinicA (adapted from Stout, 2001a) It is a concept based on a genetic algorithm used for enhancing clinical decision making.

Thus, there are some similarities between the facilitators of proactivity and those of innovation, e.g. domain expertise and job-relevant knowledge. Nonetheless, the majority of KSAs identi ed in the creativity and innovation literatures relate to the ability to generate ideas. These differences are not surprising, given the different foci of the two research arenas. As noted earlier, most proactivity research has focused on work-related issues, while until recently most innovation research was focused on more general creative acts. Thus, researchers interested in proactivity concentrated mostly upon organizational determinants (e.g. the work by Frese, and by Parker), while researchers interested in innovation focused upon more general KSAs (e.g. the work by Amabile). In addition, the requirement for novelty that is inherent within innovation presumably accentuates the need for idea generation and cognitive abilities relative to proactivity.

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For example, an integrated artificial neural network would make probabilistic assumptions about the provider, the client (demographics and history), the venue of care (clinic, hospital, CMHC, etc), service availability ( based on locality or insurance.

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