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Clinical Decision Support Representative information

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$180K

How much do clinical decision support representative jobs pay per year?

As of Aug 14, 2026, the average yearly pay for clinical decision support representative in the United States is $177,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $176,000.00 and $179,000.00 per year, depending on experience, location, and employer.

What is the difference between Clinical Decision Support Representative vs Clinical Support Specialist?

AspectClinical Decision Support RepresentativeClinical Support Specialist
CredentialsTypically requires healthcare-related certifications or experienceOften requires similar healthcare certifications or clinical experience
Work EnvironmentWorks primarily with clinical decision support tools and software in healthcare settingsProvides clinical assistance and support in healthcare facilities or call centers
Employer & Industry UsageUsed by healthcare IT companies, hospitals, and clinicsEmployed by healthcare providers, hospitals, and medical device companies
Search & Comparison IntentPeople compare to understand roles involving clinical decision support and healthcare techPeople compare to clarify clinical support roles in healthcare settings

The Clinical Decision Support Representative and Clinical Support Specialist roles share similarities in healthcare environment and required certifications. However, the representative focuses more on supporting clinical decision-making through software tools, while the specialist provides direct clinical assistance. Both roles are vital in healthcare settings but serve different functions within clinical support and decision support systems.

How does a clinical decision support representative typically collaborate with healthcare providers to improve patient outcomes?

Clinical Decision Support Representatives work closely with physicians, nurses, and other healthcare professionals to implement and optimize decision support tools within electronic health records. They regularly participate in interdisciplinary meetings, provide training on new systems, and gather feedback from clinical staff to enhance workflow efficiency. By acting as a bridge between IT teams and medical personnel, they help ensure that clinical decision support systems are user-friendly, accurate, and aligned with best practices, ultimately contributing to better patient care.

What is a clinical decision support representative?

Clinical Decision Support Representatives are professionals who assist healthcare providers by offering guidance and information to improve clinical decision-making. They work with clinical decision support systems (CDSS) to ensure that healthcare teams have access to up-to-date, evidence-based recommendations at the point of care. Their role may involve training staff on CDSS tools, troubleshooting issues, and analyzing system effectiveness to enhance patient outcomes. They often serve as a bridge between medical staff and IT departments to optimize the use of clinical technology in healthcare settings.

What are the key skills and qualifications needed to thrive as a clinical decision support representative, and why are they important?

To thrive as a Clinical Decision Support Representative, you need a background in healthcare or clinical informatics, strong analytical abilities, and knowledge of medical terminology, often supported by a relevant degree or certification. Familiarity with clinical decision support systems (CDSS), electronic health records (EHR), and data analysis tools is typically required. Excellent communication, problem-solving, and collaboration skills help you interpret clinical data and relay recommendations effectively. These competencies are important because they ensure accurate, data-driven support for clinicians, improving patient outcomes and workflow efficiency.
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What job categories do people searching Clinical Decision Support Representative jobs look for?

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Clinical Decision Support Representative jobs near you
Infographic showing various Clinical Decision Support Representative job openings in the United States as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $177,500 per year, or $85.3 per hour.

Lead Technology Product Manager, AI Clinical Decision Support

Wolters Kluwer

Princeton, NJ • On-site

$118K - $207K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Wolters Kluwer rating

9.1

Company rating: 9.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

25th of 244 rated software companies

Job description

Build trusted AI experiences that help clinicians getfrom question to answerfaster.

At Wolters Kluwer Health, the UpToDate suite supports millions of clinical decisions every day. As AI changes how clinicians search for, interpret, and apply clinical knowledge, we are building product experiences that make trusted guidance easier to access, understand, and use.

As Senior Product Manager, AI Clinical Decision Support, you will play a core role in developing AI-enabled experiences for UpToDate's core clinical decision support products. Working under product leadership, you will own discovery and delivery for defined capabilities that improve how users ask clinical questions, navigate evidence-based content, and engage with trusted answers.

This role focuses on building useful, responsible, and engaging AI product experiences that support clinical judgment and strengthen the core UpToDate experience.

What You'll Do

  • Drive discovery and delivery for defined AI-enabled clinical decision support capabilities.

  • Translate clinician, customer, and business needs into product requirements, experiments, roadmap priorities, and measurable outcomes.

  • Shape experiences that help clinicians ask questions, find relevant information, understand clinical context, and move from question to action with confidence.

  • Partner with engineering, design, clinical, content, analytics, customer-facing, and commercial teams from discovery through launch and iteration.

  • Define success metrics tied to adoption, engagement, trust, user satisfaction, workflow impact, and business value.

  • Use customer conversations, concept tests, analytics, and feedback tovalidateuser needs and product direction.

  • Make product decisions that balance customer value, usability, clinical trust, technical feasibility, speed, cost, and responsible AI considerations.

  • Communicate roadmap priorities, rationale, risks, and tradeoffs clearly across teams and leadership.

What You'll Bring

  • 5+ years of product management experience in healthcare, enterprise SaaS, content products, search, workflow, or data-driven products.

  • Strong product discovery and execution skills, including customer research, experimentation, roadmap development, and metrics-driven decision-making.

  • Experience translating complex customer problems into intuitive product experiences, clear requirements, and measurable outcomes.

  • Ability to partner closely with engineering, design, clinical, content, analytics, commercial, and customer-facing teams.

  • Strong communication, analytical thinking,stakeholder-management, and influencing skills.

  • Curiosity and learning agility around AI, automation, emerging technologies, and responsible product development.

  • Ability to operate in ambiguity and make sound product decisions in complex, regulated healthcare environments.

Preferred Background

  • Experience with AI-enabled, data-driven, search, content, knowledge, or decision-support products.

  • Practical understanding of generative AI, retrieval-based systems, recommendation systems, workflow automation, or applied machine learning concepts.

  • Experience with clinical decision support, healthcare content, point-of-care tools, orprofessional-informationproducts.

  • Familiarity with human-in-the-loop workflows, responsible AI practices, model evaluation, or trust and safety considerations.

What Success Looks Like

  • AI-enabled CDS experiences help usersget torelevant, trusted information faster.

  • New capabilities improve adoption, engagement, user satisfaction, and measurable customer value.

  • Product teams have clear priorities, validated learnings, and actionable success metrics.

  • AI experiences are designed withappropriate transparency,evidencegrounding, and responsible use practices.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$118,300.00 - $207,400.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

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