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Clinical Informatics Data Architect

Position Summary

The Clinical Informatics Data Architect will understand City of Hope’s strategic goals and
clinical objectives and will enhance City of Hope’s ability to use data to achieve these goals.
This position will work closely with clinicians and business leaders across the medical center to
understand their data needs. This position will ensure that the design of clinical information
systems (from a data perspective) represents these needs and is optimal in order to achieve
clinical goals and outcomes. This position will be responsible for the design of the clinical data
component of clinical information systems through designing data models, standard
terminologies, metadata and clinical decision support elements. This role will use clinical
analytic/predictive analytic and intelligence tools to help clinicians analyze clinical data.
Through an understanding of this data, this position will design reports and dashboards to meet
clinical requirements and to represent data in a manner that is useful to clinicians.

Essential Functions

       Define data models and standards.
       Design metadata component of clinical data elements
       Develop a plan for use of data models and standards
       Stay up to date on data architecture standards, methodologies and tools.
       Contribute to data quality assurance objectives
       Develop and implement a model for clinical data management, standardization,
       governance and stewardship including training and developing others skills.
       Establish a plan for monitoring data quality.
       Collaborate with other departments to define data interface and messaging standards used
       at COH.
       Collaborate with other departments to ensure data architecture conforms to regulatory
       requirements
       Work with vendors and service providers during selection or implementation phases of
       clinical analytic and data tools to support City of Hope objectives.
       Develop and maintain the overall clinical data architecture model
       Mine and analyze clinical data to identify patterns and correlations among the various
       data elements that may indicate clinically significant events.
       Develop and manage a Clinical Decision Support (CDS) program using clinician
       requirements and system capabilities to drive outcomes.
       Through working with clinicians, develop an assessment program to monitor the
       effectiveness of individual CDS interventions
       Participates in research in clinical informatics
       Serve as an expert resource and consultant for all areas of the medical center with regard
       to data collection, standards, management, governance, retrieval and use as well as design
       and use of CDS elements and tools.
Minimum Education:

      Bachelor's Degree in Computer Science, Information Systems or a related field.

Minimum Experience:

      3 or more years of data or information architecture experience in a health care
       environment
      5 years of experience with data aspects of information system design or implementation.
      Experience with data mining and analysis
      Implementation of decision support elements in clinical information systems including
       rules and alerts.
      Experience in enterprise data management processes
      Strong understanding of relational, dimensional and object-oriented data structures,
       theories, principles, and practices.
      Strong familiarity with master data and metadata management and associated processes.
      Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping
       tools, data profiling tools, and data and information system life cycle methodologies.
      Experience with Microsoft SQL Server Integration Services (SSIS).
      Understanding of Healthcare Data Interoperability standards (HL7, RIM)
      Understanding of basic terminology modeling
      Understanding of metadata standards (Dublin Core, SKOS) preferred
      Excellent communication skills including ability to understand user requirements and to
       facilitate user understanding of clinical data.
      A working understanding of data privacy standards and regulations,

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Clinical informatics data architect v2 0

  • 1. Clinical Informatics Data Architect Position Summary The Clinical Informatics Data Architect will understand City of Hope’s strategic goals and clinical objectives and will enhance City of Hope’s ability to use data to achieve these goals. This position will work closely with clinicians and business leaders across the medical center to understand their data needs. This position will ensure that the design of clinical information systems (from a data perspective) represents these needs and is optimal in order to achieve clinical goals and outcomes. This position will be responsible for the design of the clinical data component of clinical information systems through designing data models, standard terminologies, metadata and clinical decision support elements. This role will use clinical analytic/predictive analytic and intelligence tools to help clinicians analyze clinical data. Through an understanding of this data, this position will design reports and dashboards to meet clinical requirements and to represent data in a manner that is useful to clinicians. Essential Functions Define data models and standards. Design metadata component of clinical data elements Develop a plan for use of data models and standards Stay up to date on data architecture standards, methodologies and tools. Contribute to data quality assurance objectives Develop and implement a model for clinical data management, standardization, governance and stewardship including training and developing others skills. Establish a plan for monitoring data quality. Collaborate with other departments to define data interface and messaging standards used at COH. Collaborate with other departments to ensure data architecture conforms to regulatory requirements Work with vendors and service providers during selection or implementation phases of clinical analytic and data tools to support City of Hope objectives. Develop and maintain the overall clinical data architecture model Mine and analyze clinical data to identify patterns and correlations among the various data elements that may indicate clinically significant events. Develop and manage a Clinical Decision Support (CDS) program using clinician requirements and system capabilities to drive outcomes. Through working with clinicians, develop an assessment program to monitor the effectiveness of individual CDS interventions Participates in research in clinical informatics Serve as an expert resource and consultant for all areas of the medical center with regard to data collection, standards, management, governance, retrieval and use as well as design and use of CDS elements and tools.
  • 2. Minimum Education:  Bachelor's Degree in Computer Science, Information Systems or a related field. Minimum Experience:  3 or more years of data or information architecture experience in a health care environment  5 years of experience with data aspects of information system design or implementation.  Experience with data mining and analysis  Implementation of decision support elements in clinical information systems including rules and alerts.  Experience in enterprise data management processes  Strong understanding of relational, dimensional and object-oriented data structures, theories, principles, and practices.  Strong familiarity with master data and metadata management and associated processes.  Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, data profiling tools, and data and information system life cycle methodologies.  Experience with Microsoft SQL Server Integration Services (SSIS).  Understanding of Healthcare Data Interoperability standards (HL7, RIM)  Understanding of basic terminology modeling  Understanding of metadata standards (Dublin Core, SKOS) preferred  Excellent communication skills including ability to understand user requirements and to facilitate user understanding of clinical data.  A working understanding of data privacy standards and regulations,