No abstract

No abstract

Kawasaki disease is diagnosed when fever lasts for more than 5 days with the presence of four out of five of the following clinical features: bilateral conjunctival congestion, changes in the lips and oral cavity, polymorphous exanthem, changes in peripheral extremities, and acute nonpurulent cervical lymphadenopathy (Nakamura et al., 2012). The average age of onset is 2 years and 90% of patients are below 5 years of age. Boys are more affected than girls (Cox and Sallis, 2009). This case report describes an adolescent female who was initially managed as having septic shock and subsequently found to have Kawasaki shock syndrome.

Introduction: Paediatric multidisciplinary team (MDT) clinic at Colombo South Teaching Hospital is designed for patient-centred management of paediatric neurological disorders. This clinic lacks an electronic database management system (E-DBMS). Open source technology through Google and AppSheet® provides tools to create E-DBMS. Objectives: To design a user-friendly, secured electronic DBMS for record keeping, audit, data analysis and research purposes and pilot testing it. Method: A new Google account was created for the MDT clinic. Google spreadsheets® were used to design the data tables and were linked to AppSheet® software to generate graphical user interface of the mobile app of the database. Appearance and features of the App were designed through options provided by the AppSheet® without writing codes using computer language. Once the app was ready, email address and password were shared among the authorized team members and the mobile app was installed into their phones. Results: This app enabled the team members to add, edit and view data of MDT patients. Telephone calls could be taken and patients' locations could be accessed through the app. Since the database was accessible through phones, patients' past records could be reviewed and new records could be entered while conducting the clinic. Success of the therapies given to patients can be quantified by motor skills score and Alberta Infantile Motor Scale (AIMS) centile analysis. These spreadsheets could be linked to the Statistical Package for Social Sciences (SPSS) _________________________________________ 1

No abstract