[None] Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software.
  DWAs: Classify materials according to standard systems.

[None] Compile medical care and census data for statistical reports on diseases treated, surgery performed, or use of hospital beds.
  DWAs: Gather medical information from patient histories. | Code data or other information.

[None] Design databases to support healthcare applications, ensuring security, performance and reliability.
  DWAs: Create databases to store electronic data.

[None] Develop in-service educational materials.
  DWAs: Prepare healthcare training materials.

[None] Evaluate and recommend upgrades or improvements to existing computerized healthcare systems.
  DWAs: Test computer hardware performance. | Test software performance. | Recommend changes to improve computer or information systems.

[None] Facilitate and promote activities, such as lunches, seminars, or tours, to foster healthcare information privacy or security awareness within the organization.
  DWAs: Market products, services, or events. | Promote educational institutions or programs.

[None] Identify, compile, abstract, and code patient data, using standard classification systems.
  DWAs: Collect medical information from patients, family members, or other medical professionals. | Code data or other information.

[None] Manage the department or supervise clerical workers, directing or controlling activities of personnel in the medical records department.
  DWAs: Supervise medical support personnel. | Manage healthcare operations.

[None] Monitor changes in legislation and accreditation standards that affect information security or privacy in the computerized healthcare system.
  DWAs: Monitor external affairs or events affecting business operations. | Evaluate applicable laws and regulations to determine impact on organizational activities.

[None] Plan, develop, maintain, or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information.
  DWAs: Maintain medical facility records.

[None] Prepare statistical reports, narrative reports, or graphic presentations of information, such as tumor registry data for use by hospital staff, researchers, or other users.
  DWAs: Present medical research reports.

[None] Protect the security of medical records to ensure that confidentiality is maintained.
  DWAs: Maintain security.

[None] Resolve or clarify codes or diagnoses with conflicting, missing, or unclear information by consulting with doctors or others or by participating in the coding team's regular meetings.
  DWAs: Communicate with management or other staff to resolve problems.

[None] Retrieve patient medical records for physicians, technicians, or other medical personnel.
  DWAs: Perform clerical work in medical settings.

[None] Train medical records staff.
  DWAs: Train caregivers or other non-medical personnel.

[None] Write or maintain archived procedures, procedural codes, or queries for applications.
  DWAs: Develop procedures for data management.

--- WORK STYLES ---
  Dependability (imp:4.00) — A tendency to be reliable, responsible, and consistent in meeting work-related o
  Attention to Detail (imp:3.00) — A tendency to be detail-oriented, organized, and thorough in completing work.
  Attention to Detail (imp:2.77) — A tendency to be detail-oriented, organized, and thorough in completing work.
  Dependability (imp:2.65) — A tendency to be reliable, responsible, and consistent in meeting work-related o
  Integrity (imp:2.51) — A tendency to be honest and ethical at work.
  Cautiousness (imp:2.28) — A tendency to be careful, deliberate, and risk-avoidant when making work-related
  Integrity (imp:2.00) — A tendency to be honest and ethical at work.
  Intellectual Curiosity (imp:1.97) — A tendency to seek out and acquire new work-related knowledge and obtain a deep 
  Cooperation (imp:1.92) — A tendency to be pleasant, helpful, and willing to assist others at work.
  Achievement Orientation (imp:1.74) — A tendency to establish and maintain personally challenging work-related goals, 
  Adaptability (imp:1.65) — A tendency to be open to and comfortable with change, new experiences, or ideas 
  Initiative (imp:1.50) — A tendency to be proactive and take on extra responsibilities and tasks that may
  Stress Tolerance (imp:1.49) — A tendency to cope and function effectively in stressful situations at work.
  Innovation (imp:1.47) — A tendency to be inventive, to be imaginative, and to adopt new perspectives on 
  Perseverance (imp:1.46) — A tendency to exhibit determination and resolve to perform or complete tasks in 
  Tolerance for Ambiguity (imp:1.45) — A tendency to be comfortable with ambiguity and uncertainty at work.
  Self-Control (imp:1.19) — A tendency to remain calm and composed and to manage emotions effectively in res
  Leadership Orientation (imp:1.13) — A tendency to lead, take charge, offer opinions, and provide direction at work.
  Sincerity (imp:1.09) — A tendency to be genuine and sincere in interactions with others at work, withou
  Social Orientation (imp:1.06) — A tendency to seek out, enjoy, and be energized by social interaction at work.
  Self-Confidence (imp:1.05) — A tendency to believe in one's work-related capabilities and ability to control 
  Cautiousness (imp:1.00) — A tendency to be careful, deliberate, and risk-avoidant when making work-related
  Humility (imp:0.78) — A tendency to be modest and humble when interacting with others at work.
  Empathy (imp:0.62) — A tendency to show concern for others and be sensitive to others' needs and feel
  Optimism (imp:0.40) — A tendency to exhibit a positive attitude and positive emotions at work, even un
  Innovation () — A tendency to be inventive, to be imaginative, and to adopt new perspectives on 
  Achievement Orientation () — A tendency to establish and maintain personally challenging work-related goals, 
  Intellectual Curiosity () — A tendency to seek out and acquire new work-related knowledge and obtain a deep 
  Tolerance for Ambiguity () — A tendency to be comfortable with ambiguity and uncertainty at work.
  Initiative () — A tendency to be proactive and take on extra responsibilities and tasks that may
  Adaptability () — A tendency to be open to and comfortable with change, new experiences, or ideas 
  Self-Confidence () — A tendency to believe in one's work-related capabilities and ability to control 
  Perseverance () — A tendency to exhibit determination and resolve to perform or complete tasks in 
  Leadership Orientation () — A tendency to lead, take charge, offer opinions, and provide direction at work.
  Humility () — A tendency to be modest and humble when interacting with others at work.
  Sincerity () — A tendency to be genuine and sincere in interactions with others at work, withou
  Empathy () — A tendency to show concern for others and be sensitive to others' needs and feel
  Cooperation () — A tendency to be pleasant, helpful, and willing to assist others at work.
  Optimism () — A tendency to exhibit a positive attitude and positive emotions at work, even un
  Social Orientation () — A tendency to seek out, enjoy, and be energized by social interaction at work.
  Stress Tolerance () — A tendency to cope and function effectively in stressful situations at work.
  Self-Control () — A tendency to remain calm and composed and to manage emotions effectively in res

--- NATIONAL WAGES ---
  total_employment : 38,100
  annual_median    : $68,020
  annual_pct10     : $39,830
  annual_pct25     : $48,940
  annual_pct75     : $95,630
  annual_pct90     : $117,420
  annual_mean      : $74,970
  hourly_median    : $32.70

--- GEOGRAPHIC DISPERSION ---
  highest_state    : Arkansas ($93,300)
  lowest_state     : Puerto Rico ($27,040)
  dispersion_ratio : 3.450x

--- TOP STATES BY WAGE (51 total) ---
  Health Care and Social Assistance        emp:   26,650  median: $  64,900
  Management of Companies and Enterprises  emp:    2,690  median: $  81,010
  Professional, Scientific, and Technical Services emp:    2,190  median: $  68,890
  Information                              emp:    1,510  median: $  59,060
  Administrative and Support and Waste Management and Remediation Services emp:    1,430  median: $  75,560
  Educational Services                     emp:    1,390  median: $  81,230
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:      960  median: $  76,360
  Finance and Insurance                    emp:      890  median: $  93,670
  Other Services (except Public Administration) emp:      110  median: $  70,530
  Wholesale Trade                          emp:       60  median: $  59,100

--- TOP INDUSTRIES BY EMPLOYMENT (11 total) ---
  Health Care and Social Assistance        emp:   26,650  median: $  64,900
  Management of Companies and Enterprises  emp:    2,690  median: $  81,010
  Professional, Scientific, and Technical Services emp:    2,190  median: $  68,890
  Information                              emp:    1,510  median: $  59,060
  Administrative and Support and Waste Management and Remediation Services emp:    1,430  median: $  75,560
  Educational Services                     emp:    1,390  median: $  81,230
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:      960  median: $  76,360
  Finance and Insurance                    emp:      890  median: $  93,670
  Other Services (except Public Administration) emp:      110  median: $  70,530
  Wholesale Trade                          emp:       60  median: $  59,100

exact_match_status : no_exact_match
matched_title      : N/A
match_score        : 0.0000
wikidata_qid       : N/A
word_count         : 0
wikipedia_url      : N/A
license            : CC BY-SA 4.0
fetched_at         : 2026-06-02T21:49:45.789353Z

--- SEMANTIC NEIGHBORS (5) ---

  Title: Medical laboratory scientist (similarity: 0.3133)
  URL: https://en.wikipedia.org/wiki/Medical_laboratory_scientist
  QID: Q708800
  Extract: A medical laboratory scientist (MLS), clinical laboratory scientist (CLS), or medical technologist (MT) is a licensed healthcare professional who performs diagnostic testing of body fluids, examples: blood, urine, sputum and other body tissue. The medical technologist is tasked with releasing the pa

  Title: Radiographer (similarity: 0.0896)
  URL: https://en.wikipedia.org/wiki/Radiographer
  QID: Q2294052
  Extract: Radiographers are healthcare professionals who perform medical imaging and radiation therapy. Medical imaging is used for the diagnosis of pathology, while radiation therapy is used for treatment.

  Title: Occupational safety and health (similarity: 0.1412)
  URL: https://en.wikipedia.org/wiki/Occupational_safety_and_health
  QID: Q629029
  Extract: Occupational safety and health (OSH) or occupational health and safety (OHS) is a multidisciplinary field concerned with the safety, health, and welfare of people at work. OSH is related to the fields of occupational medicine and occupational hygiene and aligns with workplace health promotion initia

  Title: Radiology (similarity: 0.1875)
  URL: https://en.wikipedia.org/wiki/Radiology
  QID: Q77604
  Extract: Radiology is the medical specialty that uses medical imaging to diagnose diseases and guide treatment within the bodies of humans and other animals. It began with radiography, but today it includes all imaging modalities. This includes technologies that use no ionizing electromagnetic radiation, suc

  Title: University of California (similarity: 0.2025)
  URL: https://en.wikipedia.org/wiki/University_of_California
  QID: Q184478
  Extract: The University of California (UC) is a public land-grant research university system in the U.S. state of California. Headquartered in Oakland, the system is composed of its ten campuses at Berkeley, Davis, Irvine, Los Angeles, Merced, Riverside, San Diego, San Francisco, Santa Barbara, and Santa Cru

model_pass1          : claude-sonnet-4-20250514
model_pass2          : claude-haiku-4-5-20251001
inference_confidence : high
confidence_notes     : Strong confidence based on detailed task descriptions, clear RIASEC profile, comprehensive wage data, and well-defined related occupations. Limited only by truncated skills/knowledge data in source.
inferred_at          : 2026-06-03T19:58:47.092205+00:00
tokens_input         : 3,430
tokens_output        : 4,042
cost_usd             : $0.040311
wikipedia_used       : False
wikipedia_title      : None
wikipedia_note       : No exact Wikipedia match found. The closest semantic neighbor 'Medical laboratory scientist' has limited relevance (0.313 similarity) as it focuses on laboratory testing rather than health information management.

--- PROSE FIELDS ---

ROLE SUMMARY:
Health Information Technologists and Medical Registrars bridge healthcare delivery and information systems by managing patient data, maintaining electronic health records, and ensuring compliance with privacy regulations. They abstract, collect, and analyze treatment information while designing and maintaining computerized healthcare systems. These professionals combine clinical knowledge with technical expertise to support healthcare operations and data integrity.

DAY IN THE LIFE:
A typical day involves assigning patients to diagnosis-related groups using specialized software, compiling medical care and census data for statistical reports, and identifying and coding patient data using standard classification systems. They evaluate and recommend upgrades to existing computerized healthcare systems, monitor changes in legislation affecting information security, and manage health record indexes and storage systems. Time is also spent developing educational materials, supervising clerical staff in medical records departments, and facilitating activities to promote healthcare information privacy and security.

WHO THRIVES:
Professionals who excel in this role demonstrate exceptional dependability and attention to detail, as evidenced by the high importance ratings for these work styles. They possess strong conventional and investigative interests, thriving on systematic data organization and analytical problem-solving. The role suits individuals who can balance technical proficiency with healthcare knowledge, maintaining accuracy under pressure while staying current with evolving regulations. Those who succeed combine methodical thinking with interpersonal skills for training staff and coordinating with healthcare teams.

CAREER ENTRY:
Entry typically requires an associate degree in health information management or related field, with many positions preferring bachelor's degrees in health informatics or information systems. Professional certification through RHIA (Registered Health Information Administrator) or RHIT (Registered Health Information Technician) is often required or strongly preferred. Experience with electronic health record systems and knowledge of medical terminology, coding systems, and healthcare regulations are essential.

CAREER TRAJECTORY:
Career advancement often leads to health information management director positions, clinical data management roles, or specialized positions like certified tumor registrar. Many professionals transition into health informatics specialist roles or move toward administrative positions in healthcare quality improvement. Some pursue advanced degrees to become health information administrators or consultants, while others specialize in areas like clinical documentation improvement or healthcare compliance.

MARKET INTELLIGENCE:
The median annual wage of $68,020 reflects the specialized nature of this role, with significant geographic variation from $27,040 in Puerto Rico to $93,300 in Arkansas according to BLS OEWS May 2025. Employment of 38,100 is concentrated in health care and social assistance (26,650 positions), with additional opportunities in management companies and professional services. The role commands premiums in regions with advanced healthcare systems and stringent regulatory requirements, offering stable employment in the growing healthcare technology sector.

AUTOMATION OUTLOOK:
Core responsibilities involving data classification, coding, and system evaluation provide moderate protection against automation. While routine data entry tasks may become automated, the need for clinical judgment in assigning diagnosis codes, system design input, and regulatory compliance oversight remains human-dependent.

--- REASONED EDGES ---
  [task_similarity] Medical Records Specialists (29-2072.00) — confidence:high
    reasoning: Both roles involve coding patient data, maintaining health records, and managing medical information systems.
    data: Shared tasks in patient data coding
    data: Medical records management responsibilities
  [skill_overlap] Health Informatics Specialists (15-1211.01) — confidence:high
    reasoning: Both require expertise in healthcare information systems design and analysis of computerized healthcare systems.
    data: Database design for healthcare applications
    data: System evaluation and recommendations
  [knowledge_overlap] Clinical Data Managers (15-2051.02) — confidence:high
    reasoning: Shared responsibility for collecting, analyzing, and managing clinical data with focus on data integrity.
    data: Patient data collection and analysis
    data: Statistical reporting responsibilities
  [transferable_skill] Database Administrators (15-1242.00) — confidence:medium
    reasoning: Both roles involve database design, performance optimization, and security management for information systems.
    data: Database design responsibilities
    data: System performance evaluation
  [riasec_cluster] Statistical Assistants (43-9111.00) — confidence:medium
    reasoning: Both roles share high conventional interests in systematic data organization and statistical analysis work.
    data: Conventional RIASEC code dominance
    data: Statistical data compilation tasks
  [career_pathway] Administrative Services Managers (11-3012.00) — confidence:medium
    reasoning: Health Information Technologists often advance to management roles supervising medical records departments.
    data: Supervisory responsibilities mentioned in tasks
    data: Department management duties

--- NORMALIZER SIGNALS ---
  match_keywords   : ['health information', 'medical registrar', 'health data', 'medical records', 'clinical data', 'EHR', 'health informatics', 'medical coding']
  exclude_keywords : ['physician', 'nurse', 'therapist', 'laboratory', 'radiology']
  title_patterns   : ['Health Information', 'Medical Registrar', 'Clinical Data', 'Health Data', 'Medical Records']
  common_variations: ['Health Information Technologist', 'Medical Registrar', 'Health Data Analyst', 'Clinical Data Specialist', 'Health Information Management Technician', 'Cancer Registrar', 'Medical Records Technician', 'Health Informatics Technician']

total_terms    : 40
top_words      : ['tendency', 'medical', 'healthcare', 'health', 'others', 'patient', 'security', 'records', 'management', 'orientation', 'difficult', 'self', 'imaging', 'reports', 'standards', 'staff', 'detail', 'social', 'professionals', 'laboratory']
source_layers  : onet_tasks | onet_dimensions | dwas | wikipedia | inference

TERM                    COUNT     FREQ  DOMINANT SOURCE      SOURCE BREAKDOWN
──────────────────────────────────────────────────────────────────────────────────────────
tendency                   42  0.04268  onet_dimensions      onet_dimensions:100%
medical                    28  0.02846  wikipedia            wikipedia:32%  dwas:29%  onet_tasks:21%
healthcare                 21  0.02134  inference            inference:57%  onet_tasks:19%  wikipedia:14%
health                     18  0.01829  inference            inference:72%  wikipedia:22%  onet_tasks:6%
others                     13  0.01321  onet_dimensions      onet_dimensions:77%  onet_tasks:8%  wikipedia:8%
patient                     8  0.00813  onet_tasks           onet_tasks:38%  wikipedia:25%  inference:25%
security                    7  0.00711  onet_tasks           onet_tasks:57%  inference:29%  dwas:14%
records                     7  0.00711  onet_tasks           onet_tasks:57%  inference:29%  dwas:14%
management                  7  0.00711  inference            inference:71%  dwas:29%
orientation                 6  0.00610  onet_dimensions      onet_dimensions:100%
difficult                   6  0.00610  onet_dimensions      onet_dimensions:100%
self                        6  0.00610  onet_dimensions      onet_dimensions:100%
imaging                     6  0.00610  wikipedia            wikipedia:100%
reports                     5  0.00508  onet_tasks           onet_tasks:60%  dwas:20%  inference:20%
standards                   5  0.00508  onet_dimensions      onet_dimensions:80%  onet_tasks:20%
staff                       5  0.00508  onet_tasks           onet_tasks:40%  inference:40%  dwas:20%
detail                      5  0.00508  onet_dimensions      onet_dimensions:80%  inference:20%
social                      5  0.00508  onet_dimensions      onet_dimensions:80%  inference:20%
professionals               5  0.00508  inference            inference:60%  dwas:20%  wikipedia:20%
laboratory                  5  0.00508  wikipedia            wikipedia:60%  inference:40%
clinical                    5  0.00508  inference            inference:80%  wikipedia:20%
diagnosis                   4  0.00407  inference            inference:50%  onet_tasks:25%  wikipedia:25%
performance                 4  0.00407  dwas                 dwas:50%  onet_tasks:25%  wikipedia:25%
materials                   4  0.00407  dwas                 dwas:50%  onet_tasks:25%  inference:25%
computerized                4  0.00407  onet_tasks           onet_tasks:50%  inference:50%
activities                  4  0.00407  onet_tasks           onet_tasks:50%  dwas:25%  inference:25%
personnel                   4  0.00407  onet_tasks           onet_tasks:50%  dwas:50%
resolve                     4  0.00407  onet_dimensions      onet_dimensions:50%  onet_tasks:25%  dwas:25%
coding                      4  0.00407  inference            inference:75%  onet_tasks:25%
meeting                     4  0.00407  onet_dimensions      onet_dimensions:100%
seek                        4  0.00407  onet_dimensions      onet_dimensions:100%
goals                       4  0.00407  onet_dimensions      onet_dimensions:100%
comfortable                 4  0.00407  onet_dimensions      onet_dimensions:100%
tolerance                   4  0.00407  onet_dimensions      onet_dimensions:100%
effectively                 4  0.00407  onet_dimensions      onet_dimensions:100%
situations                  4  0.00407  onet_dimensions      onet_dimensions:100%
exhibit                     4  0.00407  onet_dimensions      onet_dimensions:100%
circumstances               4  0.00407  onet_dimensions      onet_dimensions:100%
ambiguity                   4  0.00407  onet_dimensions      onet_dimensions:100%
control                     4  0.00407  onet_dimensions      onet_dimensions:100%