2017
DOI: 10.1097/jom.0000000000001179
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Enhancing Worker Health Through Clinical Decision Support (CDS)

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 (PCP’s) 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: SM… Show more

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Cited by 7 publications
(5 citation statements)
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“…Regrettably, the current pandemic follows a long tradition of incomplete occupational illness surveillance in most countries, including the US Data sources commonly used for occupational illness surveillance (e.g., national surveys, workers' compensation data) are deficient in multiple ways, 99‐101 the most important of which, for COVID‐19, are timeliness and both socioeconomic and geographic granularity. The extent to which electronic health record (EHR) data collection 102 has improved the situation remains suboptimal despite improvements in recent years 103 . A variety of systems, tools, big data platforms and apps 104,105 present opportunities to enhance occupational data collection, characterize, and address relationships between COVID‐19 and work, and inform the response to the current and future pandemics, yet require substantial privacy controls and voluntary buy‐in 106,107…”
Section: Introductionmentioning
confidence: 99%
“…Regrettably, the current pandemic follows a long tradition of incomplete occupational illness surveillance in most countries, including the US Data sources commonly used for occupational illness surveillance (e.g., national surveys, workers' compensation data) are deficient in multiple ways, 99‐101 the most important of which, for COVID‐19, are timeliness and both socioeconomic and geographic granularity. The extent to which electronic health record (EHR) data collection 102 has improved the situation remains suboptimal despite improvements in recent years 103 . A variety of systems, tools, big data platforms and apps 104,105 present opportunities to enhance occupational data collection, characterize, and address relationships between COVID‐19 and work, and inform the response to the current and future pandemics, yet require substantial privacy controls and voluntary buy‐in 106,107…”
Section: Introductionmentioning
confidence: 99%
“…In addition to providing simple tools to clinicians like standardized questionnaires, electronic health records have the potential to enhance care through more advanced functions such as clinical decision support. 30 In the case of respiratory disease, clinical decision support algorithms could be triggered by specific clinical presentations. For example, if the patient were to present with adult onset or worsening of asthma, the electronic health record could prompt the clinician to ask three questions 31 :…”
Section: Obtaining An Occupational Respiratory Hazard Exposure Historymentioning
confidence: 99%
“…Electronic health record (EHR) systems can facilitate the collection of information and support and encourage clinical decision making that includes occupational health concerns [ 69 , 70 ]. Some key limitations to healthcare provider acceptance of this integration in the US arethe lack of time to address occupational aspects of health in the brief clinical encounters that increasingly typify the practice of medicine and clinicians’ perception that impacting working conditions is beyond their control [ 71 ].…”
Section: Current Challenges To Application Of Ldct Among Aepmentioning
confidence: 99%