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Fazen LE, Martin BE, Isakari M, Kowalski-McGraw M, McLellan RK, Ahsan R, Berenji M. Occupational Electronic Health Records: Recommendations for the Design and Implementation of Information Systems in Occupational and Environmental Medicine Practice-ACOEM Guidance Statement. J Occup Environ Med 2024; 66:e614-e627. [PMID: 39378367 DOI: 10.1097/jom.0000000000003236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2024]
Abstract
OBJECTIVE Occupational and environmental medicine (OEM) clinicians require specialized electronic health records (EHRs) to address the privacy, data governance, interoperability, and medical surveillance concerns that are specific to occupational health. METHODS The American College of Occupational and Environmental Medicine (ACOEM) Section of Health Informatics evaluated clinical workflow concerns, assessed health information requirements, and developed informatics recommendations through iterative consultation with ACOEM members. RESULTS The ACOEM presents 10 recommendations that specialized occupational EHR systems (OEHRs) should meet to serve the information needs and practice requirements of OEM clinicians. Common challenges in OEM practice and potential informatics solutions are used to illustrate each recommendation. CONCLUSIONS The recommendations serve as a framework for occupational health clinicians to consider in their adoption of OEHRs and provide software engineers a set of requirements to facilitate the development and improvement of OEHRs.
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Affiliation(s)
- Louis E Fazen
- From the American College of Occupational and Environmental Medicine, Elk Grove Village, IL
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Chuang YC, Tsai HH, Lin MC, Wu CC, Lin YC, Wang TN. Cluster analysis of phenotypes, job exposure, and inflammatory patterns in elderly and nonelderly asthma patients. Allergol Int 2024; 73:214-223. [PMID: 38290901 DOI: 10.1016/j.alit.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 12/03/2023] [Accepted: 12/17/2023] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND Asthma has been identified as different phenotypes due to various risk factors. Age differences may have potential effects on asthma phenotypes. Our study aimed to identify potential asthma phenotypes among adults divided by age as either younger or older than 65 years. We also compared differences in blood granulocyte patterns, occupational asthmagens, and asthma control-related outcomes among patient phenotype clusters. METHODS We recruited nonelderly (<65 years old) (n = 726) and elderly adults (≥65 years old) (n = 201) with mild-to-severe asthma. We conducted a factor analysis to select 17 variables. A two-step cluster analysis was used to classify subjects with asthma phenotypes, and a discriminant analysis was used to verify the classification of cluster results. RESULTS There were three clusters with different characteristics identified in both the nonelderly and elderly asthmatic adults. In the nonelderly patient group, cluster 2 (obese, neutrophilic phenotypes) had a 1.85-fold significantly increased risk of asthma exacerbations. Cluster 3 (early-onset, atopy, and smoker with an eosinophil-predominant pattern) had a 2.37-fold risk of asthma exacerbations and higher oral corticosteroid (OCS) use than cluster 1 (late-onset and LMW exposure with paucigranulocytic blood pattern). Among elderly patients, cluster 2 had poor lung function and more ex-smokers. Cluster 3 (early-onset, long asthma duration) had the lowest paucigranulocytic blood pattern percentages in the elderly group. CONCLUSIONS The novelty of the clusters was found in age-dependent clusters. We identified three distinct phenotypes with heterogeneous characteristics, asthma exacerbations and medicine use in nonelderly and elderly asthmatic patients, respectively. Classification of age-stratified asthma phenotypes may lead to precise identification of patients, which provides personalized disease management.
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Affiliation(s)
- Yung-Chi Chuang
- Department of Public Health, College of Health Science, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hsin-Hua Tsai
- Department of Public Health, College of Health Science, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Meng-Chih Lin
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chao-Chien Wu
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Yuan-Chung Lin
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Tsu-Nai Wang
- Department of Public Health, College of Health Science, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
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Weissman DN, Radonovich LJ. Importance of and Approach to Taking a History of Exposures to Occupational Respiratory Hazards. Semin Respir Crit Care Med 2023; 44:396-404. [PMID: 37015287 DOI: 10.1055/s-0043-1766120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2023]
Abstract
Occupational respiratory diseases are caused by exposure to respiratory hazards at work. It is important to document those exposures and whether they are causing or exacerbating disease because these determinations can have important impacts on diagnosis, treatment, job restrictions, and eligibility for benefits. Without investigation, it is easy to miss clinically relevant exposures, especially in those with chronic diseases that can have work and nonwork causes. The first and most important step in identifying exposures to respiratory hazards at work is to take an appropriate history. For efficiency, this is a two-step process. An initial quick screening history is done by asking only a few questions. Follow-up questions are asked if there are positive responses to the screening questions or if an occupational etiology is suspected based on the clinical presentation. Electronic health records have promise for facilitating this process. Follow-up to the screening history may include additional questions, evaluating additional sources of information about workplace exposures, and medical testing. Radiographic findings or tests conducted on noninvasive samples or lung tissue can be used as biomarkers. Online resources can be used to learn more about exposures associated with occupations and industries and to see if investigations evaluating exposures were performed in the patient's own workplace. It is important to adhere to the patient's wishes about contacting the employer. With patient consent, the employer can be an important source of information about exposures and, if a problem exists, has an important role in taking corrective action. Consultation for challenging cases is available from a variety of professional and governmental entities. If a clinician identifies a significant public health issue, such as an occupational disease outbreak, it is important to notify relevant public health authorities so that steps can be taken to prevent additional exposures and appropriately care for those already exposed.
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Affiliation(s)
- David N Weissman
- Respiratory Health Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia
| | - Lewis J Radonovich
- Respiratory Health Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia
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James E, Linde B, Redlich CA. Master Clinician and Public Health Practitioner: Selected Occupational and Environmental Pulmonary Cases. Clin Chest Med 2021; 41:567-580. [PMID: 33153680 DOI: 10.1016/j.ccm.2020.08.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Occupational and environmental exposures contribute to the development and progression of most lung diseases, yet their impact is greatly under-recognized in clinical practice. Clinicians caring for patients with respiratory diseases should maintain a high index of suspicion for occupational and environmental contributing factors. Mastering occupational and environmental medicine clinical decision making requires specialized clinical skills. These skills include obtaining an appropriate work and exposure history; making an assessment of the magnitude and relevance of exposures and their contribution to a patient's respiratory disease; utilizing appropriate resources for evaluation and management of exposure-related disease; and considering socioeconomic and public health factors.
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Affiliation(s)
- Efia James
- Department of Medicine, Yale Occupational and Environmental Medicine Program, Yale School of Medicine, 367 Cedar Street, ESHA 2nd Floor, New Haven, CT 06510, USA.
| | - Brian Linde
- Department of Medicine, Yale Occupational and Environmental Medicine Program, Yale School of Medicine, 367 Cedar Street, ESHA 2nd Floor, New Haven, CT 06510, USA
| | - Carrie A Redlich
- Department of Medicine, Yale Occupational and Environmental Medicine Program, Yale School of Medicine, 367 Cedar Street, ESHA 2nd Floor, New Haven, CT 06510, USA
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Informatics Approaches for Recognition, Management, and Prevention of Occupational Respiratory Disease. Clin Chest Med 2021; 41:605-621. [PMID: 33153682 DOI: 10.1016/j.ccm.2020.08.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Computer and information systems can improve occupational respiratory disease prevention and surveillance by providing efficient resources for patients, workers, clinicians, and public health practitioners. Advances include interlinking electronic health records, autocoding surveillance data, clinical decision support systems, and social media applications for acquiring and disseminating information. Obstacles to advances include inflexible hierarchical coding schemes, inadequate occupational health electronic health record systems, and inadequate public focus on occupational respiratory disease. Potentially transformative approaches include machine learning, natural language processing, and improved ontologies.
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Ash JS, Chase D, Baron S, Filios MS, Shiffman RN, Marovich S, Wiesen J, Luensman GB. Clinical Decision Support for Worker Health: A Five-Site Qualitative Needs Assessment in Primary Care Settings. Appl Clin Inform 2020; 11:635-643. [PMID: 32998170 DOI: 10.1055/s-0040-1715895] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Although patients who work and have related health issues are usually first seen in primary care, providers in these settings do not routinely ask questions about work. Guidelines to help manage such patients are rarely used in primary care. Electronic health record (EHR) systems with worker health clinical decision support (CDS) tools have potential for assisting these practices. OBJECTIVE This study aimed to identify the need for, and barriers and facilitators related to, implementation of CDS tools for the clinical management of working patients in a variety of primary care settings. METHODS We used a qualitative design that included analysis of interview transcripts and observational field notes from 10 clinics in five organizations. RESULTS We interviewed 83 providers, staff members, managers, informatics and information technology experts, and leaders and spent 35 hours observing. We identified eight themes in four categories related to CDS for worker health (operational issues, usefulness of proposed CDS, effort and time-related issues, and topic-specific issues). These categories were classified as facilitators or barriers to the use of the CDS tools. Facilitators related to operational issues include current technical feasibility and new work patterns associated with the coordinated care model. Facilitators concerning usefulness include users' need for awareness and evidence-based tools, appropriateness of the proposed CDS for their patients, and the benefits of population health data. Barriers that are effort-related include additional time this proposed CDS might take, and other pressing organizational priorities. Barriers that are topic-specific include sensitive issues related to health and work and the complexities of information about work. CONCLUSION We discovered several themes not previously described that can guide future CDS development: technical feasibility of the proposed CDS within commercial EHRs, the sensitive nature of some CDS content, and the need to assist the entire health care team in managing worker health.
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Affiliation(s)
- Joan S Ash
- Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, Oregon, United States
| | - Dian Chase
- Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, Oregon, United States
| | - Sherry Baron
- Department of Urban Studies, Barry Commoner Center for Health and the Environment, Queens College, City University of New York, New York, New York, United States
| | - Margaret S Filios
- National Institute for Occupational Safety and Health/Centers for Disease Control and Prevention, Cincinnati, Ohio and Morgantown, West Virginia, United States
| | - Richard N Shiffman
- Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut, United States
| | - Stacey Marovich
- National Institute for Occupational Safety and Health/Centers for Disease Control and Prevention, Cincinnati, Ohio and Morgantown, West Virginia, United States
| | - Jane Wiesen
- Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, Oregon, United States
| | - Genevieve B Luensman
- National Institute for Occupational Safety and Health/Centers for Disease Control and Prevention, Cincinnati, Ohio and Morgantown, West Virginia, United States
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Marovich S, Luensman GB, Wallace B, Storey E. Opportunities at the intersection of work and health: Developing the occupational data for health information model. J Am Med Inform Assoc 2020; 27:1072-1083. [PMID: 32521001 DOI: 10.1093/jamia/ocaa070] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 03/16/2020] [Accepted: 05/01/2020] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE The study sought to develop an information model of data describing a person's work for use by health information technology (IT) systems to support clinical care, population health, and public health. MATERIALS AND METHODS Researchers from the National Institute for Occupational Safety and Health worked with stakeholders to define relationships and structure, vocabulary, and interoperability standards that would be useful and collectable in health IT systems. RESULTS The Occupational Data for Health (ODH) information model illustrates relationships and attributes for a person's employment status, retirement dates, past and present jobs, usual work, and combat zone periods. Key data about the work of a household member that could be relevant to the health of a minor were also modeled. Existing occupation and industry classification systems were extended to create more detailed value sets that enable self-reporting and support patient care. An ODH code system, available in the Public Health Information Network Vocabulary Access and Distribution System, was established to identify the remaining value sets. ODH templates were prepared in all 3 Health Level 7 Internationalinteroperability standard formats. DISCUSSION The ODH information model suggests data elements ready for use by health IT systems in the United States. As new data elements and values are better defined and refined by stakeholders and feedback is obtained through experience using ODH in clinical settings, the model will be updated. CONCLUSION The ODH information model suggests standardized work information for trial use in health IT systems to support patient care, population health, and public health.
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Affiliation(s)
- Stacey Marovich
- Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio, USA
| | - Genevieve Barkocy Luensman
- Respiratory Health Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, WV, USA
| | - Barbara Wallace
- Professional Services Partners, Contractors with Respiratory Health Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Wallace, Oak Park, IL, USA
| | - Eileen Storey
- Respiratory Health Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, WV, USA.,Professional Services Partners, Contractors with Respiratory Health Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Wallace, Oak Park, IL, USA
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Lau A, Tarlo SM. Update on the Management of Occupational Asthma and Work-Exacerbated Asthma. ALLERGY, ASTHMA & IMMUNOLOGY RESEARCH 2019; 11:188-200. [PMID: 30661311 PMCID: PMC6340795 DOI: 10.4168/aair.2019.11.2.188] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 10/25/2018] [Accepted: 10/28/2018] [Indexed: 12/16/2022]
Abstract
Work-related asthma is the most common occupational lung disease encountered in clinical practice. In adult asthmatics, work-relatedness can account for 15%-33% of cases, but delays in diagnosis remain common and lead to worse outcomes. Accurate diagnosis of asthma is the first step to managing occupational asthma, which can be sensitizer-induced or irritant-induced asthma. While latency has traditionally been recognized as a hallmark of sensitizer-induced asthma and rapid-onset a defining feature of irritant-induced asthma (as in Reactive Airway Dysfunction Syndrome), there is epidemiological evidence for irritant-induced asthma with latency from chronic moderate exposure. Diagnostic testing while the patient is still in the workplace significantly improves sensitivity. While specific inhalational challenges remain the gold-standard for the diagnosis of occupational asthma, they are not available outside of specialized centers. Commonly available tests including bronchoprovocation challenges and peak flow monitoring are important tools for practicing clinicians. Management of sensitizer-induced occupational asthma is notable for the central importance of removal from the causative agent: ideally, removal of the culprit agent; but if not feasible, this may require changes in the work process or ultimately, removal of the worker from the workplace. While workers' compensation programs may reduce income loss, these are not universal and there can be significant socio-economic impact from work-related asthma. Primary prevention remains the preferred method of reducing the burden of occupational asthma, which may include modification to work processes, better worker education and substitution of sensitizing agents from the workplace with safer compounds.
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Affiliation(s)
- Ambrose Lau
- Respiratory Division, Department of Medicine, Toronto Western Hospital and St. Michael's Hospital, Toronto, Ontario, Canada
| | - Susan M Tarlo
- Respiratory Division, Department of Medicine, Toronto Western Hospital and St. Michael's Hospital, Toronto, Ontario, Canada.
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Enhancing Worker Health Through Clinical Decision Support (CDS): An Introduction to a Compilation. J Occup Environ Med 2018; 59:e227-e230. [PMID: 29116992 DOI: 10.1097/jom.0000000000001179] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE This article outlines an approach to developing clinical decision support (CDS) for conditions related to work and health. When incorporated in electronic health records, such CDS will assist primary care providers (PCPs) care for working patients. METHODS Three groups of Subject Matter Experts (SMEs) identified relevant clinical practice guidelines, best practices, and reviewed published literature concerning work-related asthma, return-to-work, and management of diabetes at work. RESULTS SMEs developed one recommendation per topic that could be supported by electronic CDS. Reviews with PCPs, staff, and health information system implementers in five primary care settings confirmed that the approach was important and operationally sound. CONCLUSION This compendium is intended to stimulate a dialogue between occupational health specialists and PCPs that will enhance the use of work information about patients in the primary care setting.
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