Health Information Analyst
Ministry of Public Health
Total des années d'expérience :17 years, 0 Mois
Working as part of the National Mental Health Program and responsible for ensuring that key activity data and information is collected, analysed, monitored and reported to a range of stakeholders. Working closely with clinicians, managers and other staff to support mental health service planning.
Key Duties:
• Managing various projects associated with the Qatar National Mental Health Strategy.
• Preparing routine and ad-hoc reports associated with the Program for both internal and external stakeholders. Including MoPH, PMO, HMC, PHCC, Sidra and Naufar. Ensuring timely and accurate information analysis and reporting to management on agreed areas of work.
• Delivering all information reports to agreed deadlines and ensuring reports reflect the needs of the end user.
• Developing and implementing data collection systems that provides accurate and timely data.
• Presenting information and issues, explaining highly complex issues, to a wide range of internal and external stakeholders.
• Working with members of the Team to investigate the causes of any variance from target/plan and proactively contribute to the implementation of solutions.
• Management of a risk and issues tracking mechanism (Risk Register) and its proactive resolution and escalation processes.
• Contributing to the development and implementation of key performance indicators/measures by working with appropriate stakeholders.
• Contributing to the review and development of existing information management systems and contribute to the development of an integrated approach to service or initiative management.
• Developing new reports and queries as appropriate to support the delivery of strategic objectives; Program milestones and key performance indicators.
• Collecting prevalence data/information to support the Mental Health Program and ensuring it is presented in an appropriate way for a range of different stakeholders.
• Participating in relevant internal and external working groups/projects, services and initiatives to provide, information and analytical advice and expertise.
• Participating in the development and implementation of Mental Health website.
Working as a Senior Information Analyst and leading the Mental Health project, Integrated Resource Framework (IRF) project, Falls Prevention Project and Reshaping the care of elderly project, to maintain and improve the development, collection and application of statistics to advise senior managers and consultants in making informed decisions. In addition to working with managers, consultants and nurses to understand their business needs and problems in order to identify and evaluate relevant solutions to meet the service objectives.
Key Duties:
• Influencing the development, review and collection of data using SQL and MS office tools.
• Advising on all qualitative and quantitative analysis including surveys, statistical tests of significance, and producing forecasting models to predict future disease rates using Business Objects and SPSS so that strategies can be adjusted accordingly.
• Validating, researching, interpreting and explaining information with regard to clinical audit in order to maintain the data quality and improve the performance of NHS Fife and manage customer expectations.
• Working with senior managers, consultants and nurses, to understand their business needs and problems.
• Ensuring that business requirements are defined and addressed and relevant solutions are identified and evaluated in line with the NHS Fife strategy and standards.
• Investigating business problems or situations and recommending the best way forward to support NHS Fife business objectives.
• Participating in producing process maps using UML modelling and LEAN methodology for key services within NHS Fife.
• Strategic planning of projects using problem structuring and systems thinking methods, in addition to PRINCE2 Themes and Processes.
• Providing the project board with highlight reports to monitor the stage progress and highlighting risks and potential impacts.
• Implementations of performance measurement techniques such as Balance Scorecards and KPIs to gauge performance and ensure the Scottish Government targets are met.
• Providing training to administration staff on new softwares.
Worked with the cancer surveillance team and cancer waiting times team to analyse cancer data and to provide statistical support to the clinical trials team.
Key duties:
• Extracting and analysing cancer data using SPSS, Business objects and Excel to make recommendations to senior managers.
• Providing the Scottish Government, health boards, educational institutions, and media with cancer information and statistical analysis.
• Producing quarterly cancer waiting times reports for the Scottish Government and health boards.
• Communicating and coordinating with the IT department to ensure that the data validation checks are online with data definitions using SWIFT.
• Performing survival analysis and forecast models to observe the cancer effects of specific cancer sites on Scotland.
• Providing meta analysis to clinical trials team.
• Visiting health boards to present and provide training on new software systems of data submissions and data uses.
• Updating the cancer analysis website and information portal.
• Training and supervising new members of the team.
Worked with the business modelling team to maintain the product profile of 12 credit cards to create an Excel database with a VB user interface and executing logistic regression analysis.
Key Duties:
• Project managing the credit card profile database creation.
• Liaising with the marketing department to obtain campaign figures of APR’s and charges.
• Creating database of the product BIBLE with an interactive VB interface.
• Performing risk analysis using SAS Logistic Regression.
Operational Research explores the generic problem solving process which underpins the provision of decision support. In particular, it considers the role of modelling in that process. Courses includes: problem structuring, data collection and analysis, identification and evaluation of options, communication and implementation of learning, findings and recommendations.