Funding and employment conditions : critical issues for Australian music therapy beyond 2009

As the Australian Journal of Music Therapy celebrates its 20th year of publication, it is evident that the profession of music therapy in Australia, has made substantial progress over these last 20 years. Jobs are regularly advertised on the website, there is a greater public awareness of what music therapy is, there are government recognised salary awards applicable in several states of the country, working conditions have generally improved, and many Australian music therapists are recognised on the international stage as leaders in their field of expertise. You can even go to a party and tell someone you are a music therapist and there is a good chance they will say 'oh yeah, I know someone who does that at the hospital / school / community centre / nursing home' instead of saying 'oh, so like, a what?'. Despite the impressive leaps and bounds that have been made, and the success of many programs in Australia to date, there is still a great deal of room for improvement. What are the critical issues ahead for the development of music therapy in Australia? In particular, how do music therapists develop going forward and secure funding for clinical initiatives? In reflecting on this question, this article identifies two key areas, amongst the many, that can be addressed by music therapists over the next 20 years: funding and employment conditions. Examples from the national early intervention music therapy program 'Sing and Grow' are used to illustrate the potential impact of addressing these two issues on the positive development of the profession into the future.

Enhancing employment services for people with severe mental illness: the challenge of the Australian service environment

Objectives:  Comparatively few people with severe mental illness are employed despite evidence that many people within this group wish to obtain, can obtain and sustain employment, and that employment can contribute to recovery. This investigation aimed to: (i) describe the current policy and service environment within which people with severe mental illness receive employment services; (ii) identify evidence-based practices that improve employment outcomes for people with severe mental illness; (iii) determine the extent to which the current Australian policy environment is consistent with the implementation of evidence-based employment services for people with severe mental illness; and (iv) identify methods and priorities for enhancing employment services for Australians with severe mental illness through implementation of evidence-based practices. Method:  Current Australian practices were identified, having reference to policy and legal documents, funding body requirements and anecdotal reports. Evidence-based employment services for people with severe mental illness were identified through examination of published reviews and the results of recent controlled trials. Results:  Current policy settings support the provision of employment services for people with severe mental illness separate from clinical services. Recent studies have identified integration of clinical and employment services as a major factor in the effectiveness of employment services. This is usually achieved through co-location of employment and mental health services. Conclusions:  Optimal evidence-based employment services are needed by Australians with severe mental illness. Providing optimal services is a challenge in the current policy environment. Service integration may be achieved through enhanced intersectoral links between employment and mental health service providers as well as by co-locating employment specialists within a mental health care setting.

A rights management approach to protection of privacy in a cloud of electronic health records

A patient-centric DRM approach is proposed for protecting privacy of health records stored in a cloud storage based on the patient's preferences and without the need to trust the service provider. Contrary to the current server-side access control solutions, this approach protects the privacy of records from the service provider, and also controls the usage of data after it is released to an authorized user.

Towards semantic search and inference in electronic medical records : an approach using concept-based information retrieval

For more than a decade research in the field of context aware computing has aimed to find ways to exploit situational information that can be detected by mobile computing and sensor technologies. The goal is to provide people with new and improved applications, enhanced functionality and better use experience (Dey, 2001). Early applications focused on representing or computing on physical parameters, such as showing your location and the location of people or things around you. Such applications might show where the next bus is, which of your friends is in the vicinity and so on. With the advent of social networking software and microblogging sites such as Facebook and Twitter, recommender systems and so on context-aware computing is moving towards mining the social web in order to provide better representations and understanding of context, including social context. In this paper we begin by recapping different theoretical framings of context. We then discuss the problem of context- aware computing from a design perspective.

Pathways to employment for migrants and refugees? The case of social enterprise

This paper examines the use of social enterprise – that is, not for personal profit businesses that have a strong social purpose- to support training and employment pathways for migrants and refugees facing multiple forms of exclusion. Drawing on an evaluation of a program that supports seven social enterprises in the Australian state of Victoria, the study finds that social enterprise affords unique local opportunities for economic and social participation for the program’s participants. Nevertheless, there are limits to the impacts of programs that mediate transitions within an increasingly flexible labour market without redressing the broader social determinants of labour market segmentation.

Privacy oriented access control for electronic health records

Security and privacy in electronic health record systems have been hindering the growth of e-health systems since their emergence. The development of policies that satisfy the security and privacy requirements of different stakeholders in healthcare has proven to be difficult. But, these requirements have to be met if the systems developed are to succeed in achieving their intended goals. Access control is a fundamental security barrier for securing data in healthcare information systems. In this paper we present an access control model for electronic health records. We address patient privacy requirements, confidentiality of private information and the need for flexible access for health professionals for electronic health records. We carefully combine three existing access control models and present a novel access control model for EHRs which satisfies requirements of electronic health records.

ACE research vignette 010 : when do sales and employment grow together?

This series of research vignettes is aimed at sharing current and interesting research findings from our team and other international Entrepreneurship researchers. In this vignette, Professor Per Davidsson considers some of the dynamics associated with firm growth.

Towards semantic search and inference in electronic medical records : an approach using concept-based information retrieval

Background This paper presents a novel approach to searching electronic medical records that is based on concept matching rather than keyword matching. Aim The concept-based approach is intended to overcome specific challenges we identified in searching medical records. Method Queries and documents were transformed from their term-based originals into medical concepts as defined by the SNOMED-CT ontology. Results Evaluation on a real-world collection of medical records showed our concept-based approach outperformed a keyword baseline by 25% in Mean Average Precision. Conclusion The concept-based approach provides a framework for further development of inference based search systems for dealing with medical data.