speaking and phone use. Staff were unable to hold face-toface family meetings and families were unable to be at the bedside which would, in normal times, enable them to be part of the patient's hospital journey. Inevitably, this all led to an increased volume of phone calls. To try to solve some of these issues, it was decided that a dedicated team was needed to establish open lines of communication between patient, family and staff. A group of senior nurses from across the hospital were brought together to form the Critical Care Family Liaison Team (FLT). FLT now give coordinated information and are the first point of contact for families. Interventions include using technology such as FaceTime and Zoom to allow 'virtual visiting', conference calling for family updates, bedside photographs, voice recordings sent in by families and music playlists. The role for the FLT has evolved; the team was set up rapidly at the start of lockdown and members were in their new roles within a week. Daily verbal feedback was gathered from the medical team and interventions changed as necessary. It is difficult to assess what the situation would have been without this innovation. Formal feedback was requested from all staff members working in Critical Care and from patients and their families. Qualitative and 5 point likert scale responses have been positive. Further data collection and feedback is ongoing to ensure the service continues to evolve as we move towards a new normal.

This paper is aimed to develop a searching method based on binary search and linear search as well as to understand the finding of search methods. The system searches the desired word for English to English and English to Myanmar. The system may help the English may help the English Language user enable to know the desired word of English and Myanmar meaning. The system output is searching word of English meaning, Myanmar meaning, part of speech, searching time and step. And also, the system finds cross reference and user's unknown word by using binary search and linear search of searching algorithm. This system is implemented by using ASP.NET platform.

Data mining is the task of discovering interesting patterns from large amounts of data where the data can be stored in databases, data warehouses or other information repositories. This can be viewed as a result of the natural evolution of information technology. The key point is that data mining is the application of these and other AI and statistical techniques to common business problems in a fashion that makes these techniques available to the skilled knowledge worker as well as the trained statistics professional. This paper is classification system for Toxicology using C4.5. Firstly, the input data are randomly partitioned into two independent data, a training data and a test data. And then two third of the data are allocated to the training data and the remaining one third is allocated to the test data. Final step is C4.5 Algorithm Process, the training data is used to derive C4.5 algorithm. Classification Process, test data are used to estimate the accuracy of the classification rules. If the accuracy is considered acceptable the rules can be applied to the classification of new data.