Division Director of Clinical Quality Data
Houston, TX, USA | HealthTrust Purchasing Group
Industry:Healthcare - Hospitals
Job Description:82 people have viewed this job
The Division Director of Clinical Quality Data
is responsible for the development and implementation of Clinical Quality Programs, as well as the expansion of processes and performance related to Clinical Data Management (CDM) strategy. The Director will focus on utilizing data resources to improve the clinical and operating performance. The Director and Division Quality team is focused on identifying such opportunities and working with the wider organization to operationalize them. The Division Director will manage division clinical analytic projects to assure best use of facility resources and to avoid duplication of projects.
The Division Director will use mathematics, programming big data management and visualization to discover clinical opportunities and insights arising from HCA data systems. This role is firmly customer facing, with an expectation of constant contact, communication and iteration with both clinical and business customers to define questions, explore solutions and present results. As such the Director must be comfortable and capable of understanding and clearly communicating the nature and results of complex analytics within a clinical context to non-technical users in written, spoken and visual means.
The Division Director must understand the scientific process of hypothesis generation and testing within a healthcare setting, in particular data oriented discovery methodologies such as cross validation. The Division Director must additionally be comfortable with “big data” systems, such as that of the EDW (enterprise-data warehouse).
What you will do in this role:
Development of data-driven clinical products to improve care provision through collaboration with providers across the spectrum of healthcare; from bedside to clinical leadership. This can be inclusive of, but not limited to, dashboards, scorecards, etc.
Drive implementation and adoption of developed tools and new learning across the clinical spectrum.
Support dissemination of developed clinical products and ideas using expected avenues; i.e. patent applications and/or scholarly publications.
Ensure a standardized and consistent approach relating to CDM participation and implementation in all phases of the data science life cycle.
Influence, persuade, or convince others to achieve meaningful discussions regarding data outputs and feedback on usage activities to improve CDM output.
Extract data from primary sources as well as external sources. Considered expert in at least one HCA data architecture.
Apply expert analytics and technical interpretation to provide highly creative solutions.
Understanding of the operational and software aspects of data science.
Develop deeper expertise in working with clinical, operational, and financial data.
Participate in team code reviews and testing.
Works on unique and complex problems.
Consults across functional and departmental lines; particularly frontline clinical leaders and innovators.
Lift other members of the team through mentoring and teaching.
Generates collaboration between clinical and analytical teams. Knows appropriate partners and brings them into conversation and decision making.
Anticipates likely adverse events and problems. Facilitates conversation and solution amongst peers and partners across enterprise.
Quickly modifies behavior to deal effectively with changes in the work environment.
Readily tries new approaches appropriate for new or changed situations.
Actively seeks information about new work situations so they can share with peers and manager.
Leads and deploys others in sourcing and creating information and reports.
Escalate to and collaborate with Division clinical leadership on program issues and risks to identify solutions.
Assists DCMO/DVPQ to assure efficient project management for division wide initiatives
Assists DCMO/DVPQ in prioritization of analytics projects across the division
Assists DCMO/DVPQ in assigning appropriate resources for project development
Works closely with Division CMO and VP of Quality to assure projects are completed in a timely fashion
Coordinated monthly meetings of clinical data analyst group to assure facility and division needs are met.
Practice and adhere to the “Code of Conduct” philosophy and “Mission and Value Statement.”
Knowledge, Skills and Abilities:
Understanding of the provision of healthcare on a large scale, including the creation of capture of clinical data.
Technical expertise in the realms of statistics, machine learning, model fitting and optimization.
Ability to identify the technical and statistical framework in which clinical problems can be phrased.
Extensive experience in statistical modeling, machine learning, and deployment of statistical insights within a clinical setting.
Understanding of performing statistics at a large scale.
Experience teaching or mentoring.
Ability to work with all levels of management, clinical and IT&S staff.
Ability to think strategically and act tactically.
Ability to work independently and handle multiple priorities.
Creates formal networks involving coordination among clinical and analytical groups. Serves as departmental spokesperson on specialized deliverables.
Contributes to the development of the organization's goals and objectives.
Works independently and as a team lead, receiving minimal guidance.
Acts as a mentor and provides direction to colleagues with less experience; particularly amongst matrixed analytical staff.
Possesses the ability to make decisions quickly, which may deviate from established policy due to special circumstances.
Possesses interpersonal skills to work in a high profile and fast paced team.
Technical aptitude to learn and adapt to new industry applications and tools.
Some travel required.
Typical work week hours can vary depending on workload and project deliverables.
Masters degree in business, statistics, finance, healthcare administration or related field required. PhD preferred if applicable.
Minimum 5 years of relevant analyst-related work experience required.
3-5 years of previous management experience preferred.
Experience with healthcare data systems required.
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