Healthcare represents one of the most complicated practice systems on earth. Intelligent Healthcare system can be thought of as a medium for easier operability among all stakeholders of this community namely caregivers (doctors, nurses, and paramedical staffs) and information technology providers and the true stakeholder the patient community.
It is likely that the amount of data that Healthcare providers will have to manage in next years will exponentially increase. This data growth will be a burden on both for the IT infrastructure and the practice of Healthcare itself. All medical outcomes are based upon access to accurate and readily available information. Issues related to system connectivity, response time and accuracy are likely to impact healthcare provision negatively if new approaches to healthcare information management are not developed quickly.
The primary problem is increasing complexity. The solution must be aimed at how that problem will evolve over the next decade, rather than focus solely upon mastery of the past decade’ s technology. This “ capability gap” can only be bridged through adoption of an intelligent healthcare integration philosophy.
Healthcare process management is in a sense a formalization of medical practice approaches that for the most part are not automated and in some cases likely never can be fully automated. Healthcare, by its nature, requires a good deal of physical interaction guided by various formally or informally managed processes including, Diagnostics, Prognostics, Treatment, Patient Tracking, Facilities Management.
The nature of challenge for Intelligent Healthcare is complexity, both in terms of medical practice and the ability to achieve interoperability between clinical systems. The key takeaway is the realization that automation without interoperability makes healthcare more complex than before because we are necessarily adding many new sources of data to nearly every medical process without the ability to correlate it in meaningful ways. This adds a burden to the caregiver when in fact the systems should be facilitating the existing knowledge overload crisis.
This conference aims at bringing researchers, computer professionals, and doctors who are working in this area to deliberate on this topic.
Papers will be reviewed by at least two referees each. The target acceptance rate of the conference is 40%.
Suitable research topics include but are not limited to:
• Web-based Technology in Health care
• Drug Discovery and Development
• Electronic Medical Record of Patient
• Interoperable Healthcare Systems
• Robots for Surgery
• Assistive Robots and IT Systems
• Information Mining in a Collaborative Healthcare Environment
• IT Application for Healthcare
• Intelligent Healthcare Facilities
• Drug Delivery and Administration using Computer
• Standardization of Medical Professional’ s Terminology