Infection Prevention Data Analyst, FT
FLORENCE MEDICAL CENTER, United States
Medical University of South Carolina
The Medical University of South Carolina (MUSC) aims to empower the state and beyond through innovative research, education, and commitment to patient care.Job Description Summary
The Infection Prevention Data Analyst utilizes current data and evidence-based practices/guidelines with the goal of preventing healthcare-associate infections. This role educates infection preventionists (IP) across the MUSC system hospital team members on EMR usage, HAI/SSI abstraction and review workflow, collects, analyzes, and reports surveillance data for healthcare-associated infections. The Infection Prevention Data Analyst supports system hospital IP team members with EMR tools for contact tracing reports that identifies employees and patients for investigations of clusters or outbreaks of infections. This role takes a rotation of Ip call and may evaluate patient care and hospital infection prevention practices in MUSC outpatient and inpatient settings to ensure compliance with regulatory guidelines, hospital policies/procedures and evidence-based practices. The Infection Prevention Data Analyst reviews policies, protocols, and scientific literature and educates MUSC staff, patients and visitors on infection prevention recommendations. The IP Data Analyst works collaboratively with other departments to ensure real-time HAI/SSI data is accurately reported to key stakeholders.The IP Data Analyst supports multi-disciplinary teams for implementation of evidence-based practices and documentation to measure those practices. The IP Data Analyst assists with providing guidelines and data related to performance improvement plans, projects and programs to reduce healthcare-associated infections. The Infection Prevention Data Analyst helps with the orientation and mentors other Infection Preventionists in the IP department and MUSC System with the use of EPIC, EPIC ICON, NHSN workflow, and documentation of reviewed cases.
Under limited supervision, the Infection Prevention Data Analyst assumes the role and responsibilities of a senior data analyst for regulatory agencies such as NHSN, CMS, HHS, NDNQI, and SPS. In addition to the IP role, all public and internal data is validated prior to reporting. Any detected errors in data reports are reported to the IP Manager/Director and through appropriate avenues for correction. The IP Data Analyst validates tableau data to assure accuracy of public reporting elements. The experienced, board certified IP Data Analyst adds a tremendous amount of value in software builds such as Verge for EOC and HH monitoring. The IP Data Analyst is critical to articulating requests o meet compliance with DHEC, TJC, CMS, and other certifying and regulatory bodies such as NDNQI, and Magnet status.
The IP Data Analyst assures accurate reporting of HA/SSI quality metrics and prepares data related presentations for the IP department. The IP Data Analyst collaborates with internal stake holders on key performance indicators, designs education and new processes for new initiatives and serves to support the IP Director.
The Infection Prevention Data Analyst is a lead for MUSC Health's infection preventionist in the abstraction and review of HAIs/SSIs, along with the entire IP team, and serves as backup with the Director to assure on-time submissions.
Entity
Medical University Hospital Authority (MUHA)Worker Type
EmployeeWorker Sub-Type
RegularCost Center
CC003627 FLO - Quality (FMC)Pay Rate Type
HourlyPay Grade
Health-28Scheduled Weekly Hours
40Work Shift
Job Description
The Infection Prevention Data Analyst utilizes current data and evidence-based practices/guidelines with the goal of preventing healthcare-associate infections. This role educates infection preventionists (IP) across the MUSC system hospital team members on EMR usage, HAI/SSI abstraction and review workflow, collects, analyzes, and reports surveillance data for healthcare-associated infections. The Infection Prevention Data Analyst supports system hospital IP team members with EMR tools for contact tracing reports that identifies employees and patients for investigations of clusters or outbreaks of infections. This role takes a rotation of Ip call and may evaluate patient care and hospital infection prevention practices in MUSC outpatient and inpatient settings to ensure compliance with regulatory guidelines, hospital policies/procedures and evidence-based practices. The Infection Prevention Data Analyst reviews policies, protocols, and scientific literature and educates MUSC staff, patients and visitors on infection prevention recommendations. The IP Data Analyst works collaboratively with other departments to ensure real-time HAI/SSI data is accurately reported to key stakeholders.
The IP Data Analyst supports multi-disciplinary teams for implementation of evidence-based practices and documentation to measure those practices. The IP Data Analyst assists with providing guidelines and data related to performance improvement plans, projects and programs to reduce healthcare-associated infections. The Infection Prevention Data Analyst helps with the orientation and mentors other Infection Preventionists in the IP department and MUSC System with the use of EPIC, EPIC ICON, NHSN workflow, and documentation of reviewed cases.
Under limited supervision, the Infection Prevention Data Analyst assumes the role and responsibilities of a senior data analyst for regulatory agencies such as NHSN, CMS, HHS, NDNQI, and SPS. In addition to the IP role, all public and internal data is validated prior to reporting. Any detected errors in data reports are reported to the IP Manager/Director and through appropriate avenues for correction. The IP Data Analyst validates tableau data to assure accuracy of public reporting elements. The experienced, board certified IP Data Analyst adds a tremendous amount of value in software builds such as Verge for EOC and HH monitoring. The IP Data Analyst is critical to articulating requests o meet compliance with DHEC, TJC, CMS, and other certifying and regulatory bodies such as NDNQI, and Magnet status.
The IP Data Analyst assures accurate reporting of HA/SSI quality metrics and prepares data related presentations for the IP department. The IP Data Analyst collaborates with internal stake holders on key performance indicators, designs education and new processes for new initiatives and serves to support the IP Director.
The Infection Prevention Data Analyst is a lead for MUSC Health's infection preventionist in the abstraction and review of HAIs/SSIs, along with the entire IP team, and serves as backup with the Director to assure on-time submissions.
Additional Job Description
Bachelor of Nursing degree preferred. RN staff hired on or after July 1, 2013 with an Associate or Diploma degree in nursing are required to be enrolled in an accredited BSN program within two years and successfully obtain a BSN degree within four years of the RN hire or reclassification date. Refer to policy A141 for more details. A minimum of one year of work experience as a registered nurse required. Licensure as a registered nurse by the South Carolina Board of Nursing or a compact state. Current American Heart Association (AHA) Basic Life Support (BLS) certification or American Red Cross BLS for Healthcare Providers certification is requiredIf you like working with energetic enthusiastic individuals, you will enjoy your career with us!
The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.
Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees
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