TTF: Task-technology fit (TTF) theory holds that IT is more likely to have a positive impact on individual performance and be used if the capabilities of the IT match the tasks that the user must perform (Goodhue and Thompson, 1995). Basically if technology and tasks are aligned are complement each other then performance is better. There can be a hosts of technologies that perform the same task but there may be one technology or a tool which may be much more superior and better as compared at performing that task compared to all others. Hence that technology or the tool may be repeatedly used. At the same time a system which is a perfect fit for one kind of a task may perform poorly at another task. Hence TTF is an important factor to consider
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The case as it relates to VAMTA was initiated to study the application and its use by the medical end-users. The case studies the user perception of the VAMTA application and its performance in the context of Task Technology Fit (TTF).
Medical community strives to have means and tools to gather patients’ data in an efficient and effective way. Often, the problem is that medical data can be disparate and can reside in the systems that are disconnected from one another. VAMTA tries to solve this problem by trying to bring this data together and improving the management of electronic records so that there is some coherence in the data. The data is generally used for reporting, information sharing and scheduling. Reporting is very important because it holds the patient’s health data and and correct and timely availability of report is important in providing the treatment to the patient.
Other information that is crucial are technical data to build a knowledgebase, reference and research data, data pertaining to patient’s health and medical history. Automated mapping tools are required for tracking diagnostic procedures. Other data requirements relate to customers and administrative
The case as it relates to VAMTA was initiated to study the application and its use by the medical end-users. The case studies the user perception of the VAMTA application and its performance in the context of Task Technology Fit (TTF).
Medical community strives to have means and tools to gather patients’ data in an efficient and effective way. Often, the problem is that medical data can be disparate and can reside in the systems that are disconnected from one another. VAMTA tries to solve this problem by trying to bring this data together and improving the management of electronic records so that there is some coherence in the data. The data is generally used for reporting, information sharing and scheduling. Reporting is very important because it holds the patient’s health data and and correct and timely availability of report is important in providing the treatment to the patient.
Other information that is crucial are technical data to build a knowledgebase, reference and research data, data pertaining to patient’s health and medical history. Automated mapping tools are required for tracking diagnostic procedures. Other data requirements relate to customers and administrative