This position focuses the majority of their time producing analytical solutions (insights, statistical analysis, and models, etc.) for leadership and stakeholders across the organization that supports business or clinical initiatives.
This position provides consultation and support in the development, analysis, interpretation, and management of a variety of highly complex data sources to support process improvement, operations, strategy, cost reduction, and increased patient safety and satisfaction.
Essential Job Duties
This position is responsible for providing analytical support - typically at a system-wide level. May work as part of a system-wide team or interact with stakeholders across the system. Typically this position performs analysis on routine to moderately complex projects under general supervision. This position works with data sources serving the needs of customers in one or more business areas:
- Institute for Healthcare Delivery Research / Clinical Programs: Provides consultative assistance to physicians and administrators from internal and external health care systems who are attending training in health care quality improvement. Acts as content expert for data related to the clinical area assigned. Supports clinical development teams in reporting, research, data exploration, and care process development and tracking.
- Population Health Management / Decision Support: Population health management analytics (PHMA) supports the development, implementation, and measurement of systems of care that assess the health needs of a target population and proactively provides and coordinates services to improve the health of that population. PHMA provides support for the following functions: integration of population health data, value improvement, standard quality service and cost metrics and measurement, risk scoring and severity adjustment, attribution methods, contract analysis, and new data source insight. PHMA utilizes data from across the healthcare system and across the continuum, including hospital, physician, and claims data.
- Supply Chain: Provides expertise in analytics in the following areas - Total Cost of Ownership, forecasting, benchmarking, basic statistics, supplier financial health assessment, and trend analysis. Analysts develop business cases, track make goods, develop reports and dashboards for KPI's and other data requirements, and develop self-service tools for data needs. The Supply Chain Analytics group is responsible for providing data to their stakeholders, developing savings methodologies (collaborating with finance), validating all savings projects led by supply chain teams and allocating the savings to the various facilities. The Supply Chain Analyst acts as the liaison between the business unit and Information Technology's Business Application Analyst team.
- SelectHealth: Performs analytical activities to support decision making, planning, research, and administration for SelectHealth insurance products and initiatives. Works with diverse datasets including claims, enrollment, premium, provider, care management, benefit configuration, quality, regulatory, and other related datasets.
- Human Resources: Provides expertise in analysis, forecasting, planning, and research for human capital strategy and operations including: recruiting, performance management, education, succession planning, benefits, compensation, payroll, labor market analysis, workforce planning, workforceforecasting, staffing optimization, staff productivity, and other areas of Human Resource management. Works with data from core HRMS systems, talent management systems, scheduling and timekeeping systems, survey data, data from external sources, and data from other functional areas throughout Intermountain Healthcare.
- Research: Provides study design and statistical analysis for researchers (doctors, nurses, therapists, etc.) across any and all specialties in intermountain healthcare. Provides sample size / power calculations, study designs, randomization, and statistical analysis ranging from simple t tests to complex mixed effects models or Bayesian predictive analyses. Works with databases (simple SQL), imports data into statistical software, prepares the data for analysis and does the analysis, presenting the results including tables and graphs so that the researcher can understand, use, and present the results to others.
- Continuous Improvement: Provides expertise in data modeling, study design, and analysis to support strategic Continuous Improvement initiatives with competency to summarize the research into statistical process control charts, annotated run charts, pareto charts, and other statistical diagrams. Performs operational process improvement diagnostics through process flow diagramming, tally sheet planning, Lean tools, and otherfinancial impact analysis. Develops comprehensive understanding of patient throughput and process failures, and data flows such as patient charges. Provides external clinical outcomes reporting to subscribed disease registries and otherhealthcare regulatory bodies. Utilizes EDW to work with data from core EMR and ancillary medical record systems along with ERP and related financial systems.
- RCO: Provides operational and technical support to Revenue Cycle (RCO) and PAS Management in the analysis and reporting of various Revenue Cycle data. This support includes the design, development, and maintenance of processes for providing key measures relevant to revenue cycle operations, including patient revenue, billing, cash collections, denials, bad debt, charity, administrative adjustments, as well as other initiatives and projects as needed.
- Medical Group: Provides expertise in analysis, forecasting, basic statistical and graphical analysis, flow diagramming, planning, and research for Intermountain Medical Group(IMG) in areas of practice management and quality initiatives including: Accounts receivable (A/R), value recognition program (VRP) reporting, patient experience, meaningful use, various CMS and government initiatives, HEDIS, NCQA and NQF (National Quality Forum) clinical quality data analysis and performance monitoring and technical consultation for quality improvement initiatives around these measures, panel management, third next available, telephones, wait time, new facility planning, advanced directives, ERP, operations process improvement, Lean, and financial analysis on occasion. Utilizes EDW, and less often external data sources, to work with data from: core EMR systems, IMG master data management stores including facility master and provider master, imaging and lab services, DIG, and CDR. Key linkages are ODs, AODs, Medical directors, practice managers, physician recruiting, Select Health, Shared Accountability, credentialing, provider enrollment, Finance, Human Resources, Accounting, Strategic Planning and Research, HDD, CMS, Legal, ATP, and Compliance.
- Planning: Serves as analytic resource to system planners and divisional operating executives to maximize the use of Intermountain strategic planning data resources. Planning analysts conduct both internal system and healthcare market analysis by developing and deploying planning reports and dashboards, informational maps, tools and analyses for subject areas including hospital and clinic volume tracking and forecasting, population growth, demographic trends, population use-rates, payer mix, patient severity indexing, cost and efficiency studies, capital asset utilization, clinical service distribution and activity, and community physician need.
- Physician Contracting: Analysts develop business cases; develop, validate, and support reports and dashboards for KPI's and other data requirements; and develop self-service tools for data needs. The Analyst is responsible for providing data to stakeholders. Physician Contracting stakeholders include but are not limited to, senior executives, hospital and Medical Group operational leadership, operators with contractportfolios, legal counsel, compliance, accounts payable, accounts receivable, payroll, and the Physician Contracting department. The Analyst acts as the liaison between Physician Contracting and the Business Application Analyst team.
- 1. Demonstrates high-level knowledge of statistical analysis and modeling techniques and applies them in a healthcare industry setting to support strategic decision making. Runs statistical tests on data while noting the pros and cons of the test selection.
- 2. Assists with consultation to study investigators and business leaders in the areas of protocol development, study design, analysis plan, sample size / power calculations, and interpretation of study data. Applies statistical methods to drive new/original statistical insight.
- 3. Assists in the preparation and submission of written documents or presentations for senior leadership or peer reviewed journals
- 4. Uses appropriate analytic methods to research a loosely defined problem or hypothesis. Analyzes some predefined variables and some unknowns.
- 5. Programs new statistics not available in vended software based on published statistical articles.
- 6. Writes intermediate level ad hoc SQL, including basic selects, joins, use of Where clause and simple functions (e.g., Trunc, Sum, Min, Max, Avg, Concat, etc.). Demonstrates an understanding of Primary / Foreign Keys, Table/Field Aliases, and Partitions/Indexes to deliver high quality material.
- 7. May train others on skills and competencies required for previous levels.
- 8. Provides project management / leadership as appropriate to drive timelines and deliverables.
- 1. Uses basic to high level statistical or analytical software skills in programs such as R, SAS, SPSS, STATA to understand data.
- 2. Applies statistical coding to complex data or methods. Reviews other analysts coding. Understands the technology and languages that will provide the most efficient and accurate results.
- 3. Creates reports that answer a specific question or a limited number of questions. Reports include basic graphs, output lists of data, and basic use of parameters. Reports used to promote evidence-based decision making.
- 4. Reviews analyses for data validity, appropriateness of model selection, limitations of results, and valid interpretation of results. Compares data output to ensure data accuracy. Creates basic QA test plans and validates data for accuracy.
- 5. Collaborates with corporate and region resources to design, create, test, and implement analytic tools (reports, dashboards, etc.) that support enterprise / region needs and to improve data collection and reporting strategies (minimize duplication, redundancy, etc.).
- 6. Responsible to document work/projects per enterprise-wide standards (reports, project tracking, databases, etc.).
- 7. Operates with minimal supervision, taking lead roles in working with key stakeholders and other analysts or developing own methodological research.
- 8. Shares important and relevant information with the team. Proactively offers suggestions, provides resources, volunteers for assignments, and removes barriers to help the team accomplish its goals.
- 9. Demonstrates a high level of proficiency in using / analyzing Intermountain data sources (EDW, ORMIS, AS400, Essbase, Risk Management, etc.) to meet local and enterprise needs.
- 10. Provides consultation, data analysis, and project management for clinical and business stakeholders across the organization. Communicates technical / analytical concepts to others.
- 11. Demonstrates an understanding of relational data storage concepts and how tables relate to each other. Uses this to deliver high quality material to others.
- 12. Assists in the identification of data quality (accuracy, completeness, etc.) issues. As appropriate, trains other individuals and teams in the routine use of data collection, analysis, and reporting and interpretation tools for measuring performance.
- 13. Contributes to Intermountain?s analyst community by participating in monthly analyst community events such as ASK (Analysts Seeking Knowledge) through presenting, teaching, and mentoring.
- Benefits Eligible: Yes
- Shift Details: Full - Time
- Department: Enterprise Analytics
- Location: Murray, UT
- Master's Degree and three years of analytics experience.
or Bachelor's Degree with five years of analytics experience. Degree must be obtained through an accredited institution. Education is verified.
- Demonstrated proficiency and an advanced working knowledge of SQL (structured query language), quality improvement principles, and a solid knowledge of database design principles.
- Demonstrated experience in developing, analyzing, interpreting, and managing a variety of complex data sets.
- Demonstrated capabilities in planning, participating, and managing a variety of complex analytics projects.
- Demonstrated strong proficiency using word processing, spreadsheet, database, internet and e-mail, and scheduling applications, as well as statistical and analytical software systems such as SAS, SPSS, Statit, R, Python, etc.
- Demonstrated experience in a role requiring effective verbal, written, and interpersonal communication skills.
- Solid experience using industry standard BI, statistical, or analytical tools and technologies.
- Demonstrated applied understanding of data visualization design best practices.
- Interact with others requiring the employee to verbally communicate information.
- Operate computers and other IT equipment requiring the ability to move fingers and hands.
- See and read computer monitors and documents
- Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.
Job ID: 206508