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Ambulatory Clinical Informatics Jobs in Texas (NOW HIRING)

... Informatics Data Architect to lead the transformation of fragmented healthcare datasets into FHIR ... Knowledge of clinical practice, research, and workflows in hospital or ambulatory settings.

Hands-on experience with one or more ambulatory Electronic Health Record (EHR) systems. * Deep ... Certification in clinical informatics or health information management (e.g., CPHIMS, CAHIMS) is ...

Hands-on experience with one or more ambulatory Electronic Health Record (EHR) systems. * Deep ... Certification in clinical informatics or health information management (e.g., CPHIMS, CAHIMS) is ...

Job Relationships * - Reports to the Triage Manager * - Works closely with Clinical Informatics ... Minimum of 2 years' experience in ambulatory clinical care, call center, or specialty practice ...

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Job Relationships * - Reports to the Triage Manager * - Works closely with Clinical Informatics ... Minimum of 2 years' experience in ambulatory clinical care, call center, or specialty practice ...

New

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Ambulatory Clinical Informatics information

What is ambulatory clinical informatics?

Ambulatory clinical informatics is a healthcare specialty focused on the use of information technology and data to improve patient care in outpatient (ambulatory) settings. Professionals in this field work on implementing and optimizing electronic health records (EHRs), analyzing clinical data, and ensuring that technology supports clinical workflows and quality improvement. Their goal is to enhance patient outcomes, streamline processes, and facilitate communication among healthcare providers outside of hospital environments.

What are the key skills and qualifications needed to thrive as an ambulatory clinical informatics professional?

To thrive as an Ambulatory Clinical Informatics professional, you need a solid background in clinical practice, healthcare informatics, and data analysis, often supported by degrees in nursing, medicine, or health information technology. Familiarity with electronic health record (EHR) systems, clinical decision support tools, and certifications such as Certified Professional in Healthcare Information and Management Systems (CPHIMS) are commonly required. Strong communication, problem-solving, and change management skills help bridge the gap between clinical staff and IT teams. These competencies are essential for successfully optimizing clinical workflows, ensuring high data quality, and improving patient outcomes in ambulatory care settings.

What are some common challenges faced by professionals in ambulatory clinical informatics, and how can they be addressed?

Professionals in Ambulatory Clinical Informatics often encounter challenges such as integrating new technologies into existing workflows, ensuring data accuracy, and encouraging clinician adoption of electronic health records (EHRs). Addressing these challenges involves strong collaboration with clinical staff to understand their needs, providing effective training and support, and staying updated on regulatory requirements. Building cross-functional relationships and maintaining open communication are key to successfully implementing solutions that enhance patient care and streamline processes in ambulatory settings.

What is the difference between Ambulatory Clinical Informatics vs Ambulatory Healthcare Analyst?

AspectAmbulatory Clinical InformaticsAmbulatory Healthcare Analyst
CredentialsClinical background, certifications in informatics (e.g., CPHIMS)Healthcare data analysis, often with degrees in health informatics or related fields
Work EnvironmentHospitals, clinics, EHR vendors, healthcare IT teamsHealthcare organizations, clinics, health IT departments
Primary FocusImplementing and optimizing clinical information systems in ambulatory settingsAnalyzing healthcare data to improve workflows and reporting

Ambulatory Clinical Informatics professionals focus on integrating and optimizing clinical information systems in outpatient settings, often requiring clinical credentials and informatics expertise. In contrast, Ambulatory Healthcare Analysts primarily analyze healthcare data to support decision-making and improve operational efficiency. Both roles are vital in ambulatory care but differ in their core responsibilities and skill sets.

What can I do with an ambulatory clinical informatics degree?

An ambulatory clinical informatics degree prepares professionals to work with electronic health records, clinical data management, and health IT systems in outpatient settings. Graduates can pursue roles such as clinical informaticist, health IT analyst, or EHR implementation specialist, often requiring knowledge of healthcare workflows and certifications like CPHIMS or CAHIMS.

What cities in Texas are hiring for Ambulatory Clinical Informatics jobs?

Cities in Texas with the most Ambulatory Clinical Informatics job openings:

Infographic showing various Ambulatory Clinical Informatics job openings in Texas as of August 2026, with employment types broken down into 3% As Needed, 75% Full Time, 15% Part Time, and 7% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Clinical Informatics Data Engineer

Medasource

Coppell, TX • On-site

$60 - $80/hr

Contractor

Posted 10 days ago


Job description

Compensation: $60-$80 per hour
ABOUT THE ROLE
Our client is seeking a highly skilled Clinical Informatics Data Architect to lead the transformation of fragmented healthcare datasets into FHIR-compliant formats. In this pivotal role, you will architect advanced FHIR modeling and validation solutions, develop custom StructureDefinitions, and utilize FHIR Shorthand (FSH) to ensure all resources strictly adhere to US Core profiles and internal organizational extensions. You will design and execute robust data enrichment strategies for ingesting, harmonizing, and curating unstructured and semi-structured healthcare data, resolving duplication, and creating longitudinal patient data stores. The role also encompasses semantic interoperability and terminology mapping, building crosswalks between local codes and standards such as SNOMED CT, LOINC, RxNorm, and ICD-10, and implementing rigorous data quality validation processes. You will be responsible for developing clear and concise documentation to communicate data design requirements to engineering teams and stakeholders with varying technical expertise. This is an opportunity to make a significant impact on healthcare data interoperability and support precision care and clinical research initiatives.
WHAT YOU'LL DO
  • Architect and execute the transformation of fragmented healthcare datasets into FHIR-compliant representations, including development of custom StructureDefinitions and use of FHIR Shorthand (FSH) to ensure compliance with US Core profiles and organizational extensions.
  • Design and implement robust data enrichment strategies for ingestion, harmonization, curation, and deduplication of unstructured and semi-structured healthcare data (HL7 FHIR, HL7 v2, C-CDA), enabling the creation of longitudinal patient data stores.
  • Design and operationalize automated semantic interoperability and terminology mapping, building crosswalks between local interface codes and standards such as SNOMED CT, LOINC, RxNorm, and ICD-10 to ensure high-fidelity semantic consistency across the enterprise.
  • Apply rigorous validation logic and data quality processes to ensure data accuracy, integrity, and compliance with relevant standards.
  • Develop clear and concise documentation that effectively communicates data design requirements to engineering teams and stakeholders with varying levels of technical expertise.
WHAT YOU BRING
  • Bachelor's degree in Computer Science, Mathematics, or a medical-related field; Master's degree in Clinical Informatics required.
  • Minimum of 5 years' experience as a clinical informaticist, data architect, or data integration engineer in Healthcare or Life Sciences industries.
  • Expertise in standard data models and frameworks (e.g., FHIR, OMOP) and healthcare interoperability standards (e.g., HL7, NCPDP, CCD-A).
  • Demonstrated proficiency in healthcare knowledge standards and controlled terminologies (including SNOMED CT, LOINC, RxNorm).
  • Strong skills in SQL, Python, R, dbt, and Jupyter Notebook; experience with cloud computing platforms, version control systems (e.g., Git), and collaborative development tools.
  • Preferred: PhD in Clinical Informatics.
  • Preferred: Experience developing informatics solutions for precision care or clinical research.
  • Preferred: Knowledge of clinical practice, research, and workflows in hospital or ambulatory settings.
  • Preferred: Understanding of core Artificial Intelligence techniques.