Clinical Informaticist (RN/MD) – Alaka`ina Foundation Family of Companies – Remote

Ke’aki Technologies, LLC in looking for a qualified Clinical Informaticist (RN/MD) to support the Air Force Medical Service (AFMS) in San Antonio, TX. This position will be REMOTE.

RESPONSIBILITIES:

  • Support DHA Analytics staff by creating queries to collect data from appropriate central MHS and DHA database systems and provide analytical support in evaluating and making recommendations from the data.
  • Design, analyze, and develop information products, technical reports, and presentation for higher headquarters, intermediate/local commands, and others, as needed.
  • Provide research expertise especially with respect to literature-reviewed, evidence-based methodologies, processes, benchmarks, models.
  • Provide advanced statistical support including recommendations for data and predictive models, validation of existing and proposed models, development of data and predictive models in addition to:
  • Explore data, identify problems and develop analytical plans accordingly.
  • Write detailed specifications for analysis plans and data files.
  • Apply descriptive and multivariate statistical methods.
  • Analyze data and interpret results to identify significant differences in relationships.
  • Evaluate sources of information to determine any limitation in terms of reliability or usability.
  • Evaluate procedures used to obtain data to ensure validity, applicability, efficiency and accuracy.
  • Identify relationships and trends in data, as well as any factors that could affect results.
  • Validate, manipulate and perform data analysis on large datasets and “big data”.
  • Interpret and present results in a way that allows for effective decision making.
  • Develop system and service line‐specific data models to aid descriptive and predictive analysis of the DHA patient population and healthcare system.
  • Develop, maintain and utilize data management techniques such as relational databases to manage the flow of information between organizations and various information systems within the DHA, MHS or other government agencies, where appropriate.
  • Build predictive models using a variety of statistical, established and innovative, techniques.
  • Assess and continually monitor the performance of predictive models and the impact on related outcomes.
  • Develop automatic generation of standard updates covering modeling and performance metrics.
  • Test and evaluate new software packages.
  • Provide consultation to clients or colleagues.
  • Support DHA research efforts including, but not limited to, providing guidance for POCs for IRB, protocol review, DSA, DUA.
  • Support DHA research efforts including, but not limited to, accessing, processing, analyzing data as appropriate.
  • Recommend, design, monitor, and sustain performance metrics / methodologies and assist with the development of dashboards and suitable benchmarks for comparative measurement.
  • Research and develop methodology for International Classification of Diseases, Ninth Revision (ICD-9) to International Classification of Diseases, Tenth Revision (ICD-10) transition and complete transition on all DHA databases.
  • Develop methodology, process data, perform analysis and provide documents in support of DHA/MHS websites including, but not limited to, DHA/MHS Dashboards.
  • Provide technical expertise to DHA for the support of clinical processes and standards as well as outcomes related to the various applications supported by DHA.
  • Assist in population studies, prevention, managed care, medical readiness issues, health promotion, clinical preventive services and other health service related issues.
  • Provide consultation and customer support for implementation, troubleshooting and management for these and other public health primary care and health promotion activities.
  • Assist in accessing, analyzing and disseminating information about specific populations, by developing, validating and linking various medical, safety, quality, environmental, occupational and personnel databases and dashboards.
  • Provide program management to refine the prototypes for optimal implementation by the DHA and, potentially, the DoD and other interested agencies.
  • Provide a DHA view of descriptive analysis (e.g. health statistics) to support research studies.
  • Assist MTFs to develop process improvement measures as they implement population-based healthcare.
  • Support the DHA as they shift their focus from intervention services to improving the health of the entire population through population health initiatives.
  • Serve on the DHA integrated product teams as consultants.
  • Serve as consultants to the DHA staff on various projects/programs.
  • Collaborate with the DHA to research and analyze applicable program data and create and distribute reports.
  • Assist Services in analyzing applicable program data.
  • Collaborate with the DHA to link applicable program data with other health and personnel data to support a longitudinal database.
  • Research and brief the DHA staff on advances in applicable programs.
  • Research and investigate key business problems through quantitative analyses of utilization and healthcare cost data
  • Manage complex projects to completion by contributing to data collection, data analysis, statistical modeling and financial reports
  • Assist with the development of clinical process improvement and outcome metrics.
  • Identify and troubleshoots data import, analysis and display errors. 2.9.3.29 Contribute to the development and delivery of population health curriculum and training related to clinical performance metrics. * Provide technical knowledge to customers regarding design methodologies.
  • Provide facility coordinators with guidance as they develop interim measures of efficient and effective healthcare services.
  • Collaborate with the DHA and MTFs on the use of DHA/MHS developed clinical metrics and MHS system measures to improve the health of enrolled population.
  • Assist facilities to develop local processes and outcome measures that will allow them to be responsive and accountable to their customers while measuring progress toward optimization plans and goals.
  • Encourage MTFs to view performance measures as a continuous improvement process, subject to change as data systems and key objectives change.
  • Assist MTFs as they periodically refine their measures to keep pace with clinical practice parameters and the influence of outside agencies including The Joint Commission and NCQA.
  • Possess a thorough knowledge of metrics development and process improvement.
  • Possess knowledge and experience working within HESIS measures, the NCQA, the MHS Population Health Portal and IMR requirements.
  • Coordinate with DHA/MHS regarding metrics policy and development.
  • Explore data, identify problems and develop analytical plans accordingly.
  • Write detailed specifications for analysis plans and data files.
  • Apply descriptive and multivariate statistical methods.
  • Analyze data and interpret results to identify significant differences in relationships.
  • Evaluate sources of information to determine any limitation in terms of reliability or usability.
  • Evaluate procedures used to obtain data to ensure validity, applicability, efficiency and accuracy.
  • Identify relationships and trends in data, as well as any factors that could affect results.
  • Validate, manipulate and perform data analysis on large datasets and “big data”.
  • Interpret and present results in a way that allows for effective decision making.
  • Develop system and service line‐specific data models to aid descriptive and predictive analysis of the DHA patient population and healthcare system.
  • Develop, maintain and utilize data management techniques such as relational databases to manage the flow of information between organizations and various information systems within the DHA, MHS or other government agencies, where appropriate.
  • Build predictive models using a variety of statistical, established and innovative, techniques.
  • Assess and continually monitor the performance of predictive models and the impact on related outcomes.
  • Develop automatic generation of standard updates covering modeling and performance metrics.
  • Works with a variety of teams to identify areas of opportunity in order to drive financial performance of programs
  • Participates in the development of business strategy when necessary
  • Test and evaluate new software packages.
  • Provide consultation to clients or colleagues

REQUIRED SKILLS AND EXPERIENCE:

  • Five (5) years’ experience in the area of public health, epidemiology or population health.
  • Two (2) years’ experience working in the area of healthcare quality improvement.
  • Two (2) years’ experience developing and deploying clinical performance metrics in a population health setting.
  • Five (5) years’ experience with basic SQL for data manipulation and/or SAS Institute’s statistical analysis software packages.
  • One (1) year of software management and data retrieval experience.
  • Proven ability to synthesize disparate facts from multiple sources and coalesce into an accurate and useful analytic product, incorporating Service and MHS strategic goals for use by leadership in both tactical and strategic decision making.
  • Demonstrated ability to provide accurate and timely analytical products containing well‐reasoned and cogent discussion points providing leadership with substantiated options or courses of action.
  • Demonstrated ability to organize/participate/lead working groups to develop analytic products and byproducts or to develop/understand processes leading to effective optimization of analytic efforts.
  • Demonstrated ability to effectively and clearly communicate analytical discoveries and appropriate recommendations/mitigation strategies to all levels of customers including Senior DHA leadership.
  • Demonstrated advanced proficiency in Microsoft Office products PLUS additional software/hardware skills and capabilities.
  • Ability to critically examine and evaluate, problem-solve.
  • Demonstrated ability to undertake and complete multiple tasks with multiple deadlines simultaneously.
  • Ability to deliver products on time, on schedule, within budget.
  • Flexibility and the ability to adapt to rapidly changing and often time-constrained environment.
  • Ability to acquire skills/capabilities necessary to meet growing needs/demands of systems/software/hardware.
  • Occasional telework will be required.
  • Occasional evening schedules and/or on-call hours to support after-hours mission requirements will be required.

DEGREE/EDUCATION/CERTIFICATION REQUIREMENT:

  • Registered Nurse (RN) with Masters Degree in Public Health, Epidemiology, Computer Science, Mathematics or other health / research related field; OR * Medical Doctor (MD) * Other significant related medical / clinical / health data experience such as previous participation in a data analytics / informatics fellowship may be considered as an appropriate substitute for education.

CITIZENSHIP/SECURITY CLEARANCE REQUIREMENTS:

  • Must have an active Tier 1 background check to obtain a common access card (CAC)
  • Must be a U.S. Citizen

Ke’aki Technologies LLC is a fast-growing government service provider. Employees enjoy competitive salaries; a 401K plan with company match; medical, dental, disability, and life insurance coverage; tuition reimbursement; paid vacation and sick time; and 10 paid holidays. Ke’aki Technologies is proud to be an equal opportunity employer.

Job Type: Full-time

Pay: $0.00 per year

Benefits:

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Disability insurance
  • Employee assistance program
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Referral program
  • Vision insurance

Schedule:

  • 8 hour shift

Education:

  • Master’s (Preferred)

Experience:

  • Public health: 5 years (Preferred)
  • SQL: 3 years (Preferred)

License/Certification:

  • RN (Preferred)

Work Location:

  • Fully Remote

Company’s website:

  • www.alakainafoundation.com

COVID-19 Precaution(s):

  • Remote interview process

Source: Indeed.com
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