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Vice President of Medical Information and Decision-Support

Company Guideline Central
Location Orlando / Lake Mary Office OR Remote
Industries Healthcare Information
Job Type Full Time or Part Time

Guideline Central is the global leader and publisher of medical society-endorsed guidelines products. We are located in Lake Mary, Florida (Orlando), rated number 4 in the country by Money Magazine as the top place to live and work. We are growing our dynamic organization to meet customer demand and seek a highly motivated self-starting Director of Clinical Informatics and Clinical Decision-Support Systems.

Job Description

As we continue to grow rapidly and expand our clinical practice guidelines tools into new areas, we are seeking an experienced, hard-working medical informatics expert to guide the creation and implementation of our clinical decision support solutions.  We are looking for an individual who embraces challenges, thrives on new ideas and innovations and loves developing meaningful solutions to make clinical recommendations easier to access and implement in daily practice. The Director of Clinical Informatics and Clinical Decision-Support Systems will work with development team to architect and render brief algorithmic guideline content into electronic health records and electronic medical records. As our director/lead, you will be expected to manage and architect the CDS platform, and guide other team members so that we can achieve our goal of helping clinicians make accurate clinical decisions quicker, and more efficiently.


Duties and Responsibilities

Translating Guidelines into Clinical Decision-Support Systems:

  • Establish clear clinical goals for our clinical decision support (CDS) implementation projects, which are based on the recommendations contained in our society partners’ clinical practice guidelines.
  • Identify essential information from full text guidelines, and create condensed versions that contain only the most critical pieces of information that clinicians need at the point of care.
  • Use third party tools (e.g. GEM Cutter) to mark up and translate narrative clinical practice guidelines into structured knowledge that can be implemented consistently as automation CDS.
  • Once the guidelines have been “marked up”, iteratively refine the information, highlighting conditional logic, decision variables and actions. Through these steps, create structured logic specifications with which to implement the recommendations in EHR/EMR systems.
  • Use controlled vocabularies (SNOMED, LOIN, RxNORM, etc.) to map decision variables, eligibility criteria, actions and more.
  • Refine the formalized knowledge to create executable rules for implementation in a computerized CDS system. This will vary based on the end-users. Some EHR systems use formal rules engines, some prefer to use only particular features of the EHR, some prefer their developers to work from highly specified pseudo-code, etc. Therefore, each organization needed to tailor the final logic specification so that it could be implemented in their particular EHR programming environment.
  • Identify how each executable rule should fit within local workflows – this may also require working with other clinicians and CDS end-users in the design and development of workflow changes.
  • Undertake use case documentation, and iterative prototyping techniques to design the user interfaces for each key action. These interfaces will vary based on the particular guideline, recommendation, workflow needs and intervention types (documentation templates, assessment forms, choice lists, order sets, reminders, alerts, etc.).
  • Work with our development team and local information systems teams at each site to build and test the implementations within the respective EHR systems.
  • Deploy and evaluate for efficiency, effectiveness, ease of use and user adoption.


Clinical Content Optimization:

  • Help guide and build a taxonomy and schema for helping to index, tag and relate pieces of content from our various data sources (Drugs, Guidelines, Calculators, Journals, Etc.). This will be the backbone of condensing the guidelines at a “personalized” level for each patient situation at point of care.
  • Guidance and suggestions on how to interlink data sources together, so that the end result is more valuable than each stand-alone part.
    • For example, you might take a calculator (like ASCVD risk) and use the guidelines as a basis to populate specific treatment recommendations based on the output of the calculator. Or perhaps you will make a connection or a new algorithm between ADA’s Diabetes guidelines and the Endocrine Society’s Obesity guidelines.
  • Proactively research and find additional data sources that can enhance the current content, and determine how to make these “fit” within the decision making process
    • For example, you might suggest we include relevant ICD10 codes relevant to a specific guideline recommendation, and if so, how and where are these displayed for optimal usefulness?
  • Determine how each piece of content from the guidelines should be formatted for each medium and device/screen size.
    • For example, a drug table in a printed pocket guide might more sense formatted as an accordion style within the app. Or a static algorithm within the print might need to be “clickable” within the apps. Perhaps a calculator will need to be created from a disease activity scoring table? You will help direct and answer these questions.



  • Deep experience working with controlled vocabularies (SNOMED, LOINC, RxNORM, etc.)
  • Experience working within electronic health records / electronic medical records
  • Strong project management skills
  • Clinical knowledge and familiarity across many specialties and therapeutic areas
  • Understanding of scientific and medical decision support tools and treatment pathways
  • Experience working with digital health informatics, and translating recommendations into practice
  • Knowledge of design standards and how to optimize UI/UX for the end-user
  • You are an active user of popular medical apps, and know how they work
  • Proficient in decision-tree composition, presentation of tables, figures and algorithms
  • Strong work ethic, organized, self-motivated and committed to honoring deadlines
  • Prefer to be “hands on” to get the job done (even if it means manually tagging some of the content)


Education and Experience:

  • Background in medical informatics and/or medicine
  • Minimum 3+ years of related experience (5+ preferred)
  • Preferred: healthcare degree such as NP, PA, MD, PhD, DO, MPH, MS in HI or PharmD
  • Preferred: knowledge of basic programming languages like HTML, Javascript or CSS


Contact us today if you are interested in applying. While the preference would be to have this role operate from our main office in Lake Mary, FL, this job may also be done remotely.

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