City/State:

Bronx, New York

Grant Funded:

Yes

Department:

CCM - Administration Research

Work Shift:

Day

Work Days:

MON-FRI

Scheduled Hours:

8:30 AM-4:30 PM

Scheduled Daily Hours:

7.5 HOURS

Pay Range:

$52,000.00-$65,000.00

Job Summary

Medical center data resources and rigorous research methodology to analyze performance, utilization and outcomes related to the department of Critical Care Medicine.

Essential Functions

Design studies to assess program performance, utilization and patient outcomes that are methodologically sound and that take into account information resources currently available within the medical center.
- To study time trends in utilization patterns and to compare different sub-groups of the population
- Tables and graphics prepared to document desired analyses.
- Related activities include coordinating development of analysis with other MMC analysis.
Design data collection instruments for studies and projects conducted by members of the Department.
- To work with Department researchers and practitioners to ask questions in such a way that the responses can be analyzed and that they do not duplicate existing enterprise information.
- Data collection for research and for Quality Improvement is as complete as possible.
- Related activities include developing routines to ensure strict maintenance of patient confidentiality.
Query existing medical center data resources using best available tools.
- Need to integrate existing data sources with each other so as to produce valid results.
- Queries produce accurate results, queries can be reused.
- Related activity includes learning the necessary programming languages needed for the respective data resource and learning the idiosyncrasies of the
enterprise data systems.
Cleanse and manage data that were extracted from enterprise data resources to facilitate accurate interpretation and longitudinal monitoring.
- To create, test and run management reports for CQI and for service improvement using enterprise data as well as data collected by Department members for specific purposes.
- Reports are accurate and issued in a timely way. Conduct statistical analyses of extracted data.
- Related activities include coordinating with other analysts and database administrators to be aware of changes in data resources that impact analytics.
Conduct statistical analyses of extracted data.
- To study time trends in utilization patterns and to compare different sub-groups of the population.
- Tables and graphics prepared to document desired analyses
- Related activities include coordinating development of statistical analytics with other MMC analysts to standardize analysis.
Develop low volume PC-based data collection applications to gather data that are no available in enterprise information systems. This will probably be done in MS Access and/or Excel. Related activities include developing skills to improve application design.
- To capture information for specific purposes that are not part of existing databases.
- Build in reliability checks and data cleaning techniques into instruments.
Manage projects and document them with structured files to document methods and to facilitate staff succession.
- Ensure smooth transaction during periods of personnel turnover.
- Minimal disruptions occur. Data accuracy is maintained during periods of transition.
Present study, methods and results in scientific format and other tailored formats depending on audience and managerial need.
- To disseminate information about data systems throughout the medical center and to other professional groups.
- Gauge level of understanding and clarity of-presentation.

Qualifications

BS Required
MS Preferred
1-3 years
SQL, Access 2001, Excel 2010, PC-SAS and InfoMaker software
OHS Annual Assessment

Montefiore Medical Center is an equal employment opportunity employer. Montefiore Medical Center will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.

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