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Proposal: RAPID EPIDEMIOLOGICAL AND NOTIFICATION SYSTEM (RENS). INTRODUCTION. CDC has Rapid Notification System for Healthcare Professionals provides occasional time-sensitive e-mail messages about important healthcare events (e.g., outbreaks. product recalls)
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Proposal:RAPID EPIDEMIOLOGICAL AND NOTIFICATION SYSTEM (RENS) DR KAMARUL IMRAN MUSA : RENS
INTRODUCTION • CDC has Rapid Notification Systemfor Healthcare Professionals • provides occasional time-sensitive e-mail messages about important healthcare events (e.g., outbreaks. product recalls) • The Center for Health Protection (CHP) of Hong Kong Department of Health on Tuesday has launched an online reporting system to boost the efficiency of the existing surveillance system on infectious diseases real-time surveillance DR KAMARUL IMRAN MUSA : RENS
Conceptual framework epidemiologist Data entry point Microbiologist Management team DR KAMARUL IMRAN MUSA : RENS
RATIONALE • Need rapid alert system • Fast reaction • Minimum error replacing old paper pen methods • Predictive ability • Experts in data analysis to model disease faster and more accurately DR KAMARUL IMRAN MUSA : RENS
OBJECTIVES • To develop a reliable online notification system based on the “NotifikasiPenyakitBerjangkit yang PerluDilaporkan” or health 1 Rev form from Ministry of Health Malaysia known as RENS • To determine the usefulness of RENS in terms of mean days of notification done and the time of first contact tracing done • To determine the characteristics of notifiable infectious diseases managed in Hospital UniversitiSains Malaysia (HUSM) from January 2009 to December 2009 using RENS DR KAMARUL IMRAN MUSA : RENS
METHODOLOGY • Type : Cross-sectional study • Study duration : January 2009 – December 2009 • Software Development : • Source : Open Source • Model : based on ‘NotifikasiPenyakitBerjangkit yang PerluDilaporkan” form developed by Ministry of Health Malaysia • Data : web-based and client-based • Prototype : will be known as “Rapid Epidemiological Notification System” or “RENS” • Fields : 70-80 fields or variables DR KAMARUL IMRAN MUSA : RENS
Source of data • Records of patients from Unit Rekod admitted during study duration • Inclusion criteria • All patients diagnosed with notifiable infectious diseases based on on ‘NotifikasiPenyakitBerjangkit yang PerluDilaporkan” form developed by Ministry of Health Malaysia in HUSM • All patients diagnosed with notifiable infectious diseases based on on ‘NotifikasiPenyakitBerjangkit yang PerluDilaporkan” form developed by Ministry of Health Malaysia refered to HUSM DR KAMARUL IMRAN MUSA : RENS
Statistics • Data entry : “Rapid Epidemiological Notification System” or “RENS” • Data transfer : data need to be transferred automatically from RENS to statistical software such as SPSS or Stata using text-based format • Data analysis: • Descritptive • Inferential DR KAMARUL IMRAN MUSA : RENS
Contributions DR KAMARUL IMRAN MUSA : RENS
PROJECT OUTCOMES • RENS provide a minimum error of notification • RENS will replace the manual notification system • RENS will enable epidemiologist and ID physicians to have almost real time data of possible outbreak • RENS will enhance emergency preparedness in dealing with infectious diseases • RENS will be cheap but reliable compared to Window-based software • RENS can be implemented in all KKM hospitals and even in private hospitals DR KAMARUL IMRAN MUSA : RENS
PRODUCTS • An software • Which is user friendly • That replaces old pen and paper method • With minimum error • That enables rapid early alert notification • Workable IT infrastructure in surveillance DR KAMARUL IMRAN MUSA : RENS
BUDGET Notes : budget for other relevant VOTS need further calculations DR KAMARUL IMRAN MUSA : RENS