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Mashup Score: 9
npj Digital Medicine – Digital inclusion as a social determinant of health
Source: NatureCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 0
Re: Inaccuracies in electronic health records smoking data and a potential approach to address resulting underestimation in determining lung cancer screening eligibility
Source: PubMedCategories: Latest Headlines, PulmonologyTweet
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Mashup Score: 0Expanding the Reaction Picklist in Electronic Health Records Improves Allergy Documentation - 3 year(s) ago
Article InfoPublication HistoryAccepted: June 21, 2022Received in revised form: May 27, 2022Received: March 8, 2022Publication stageIn Press Journal Pre-ProofFootnotesClinical ImplicationsA comprehensive reaction picklist is critical to improving the quality of allergy documentation in the electronic health record. We assess…
Categories: Allergy-Immunology, Latest HeadlinesTweet
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Mashup Score: 1
This study was designed to examine how the COVID-19 pandemic changed e-cigarette user habits and risk perceptions. A nationally distributed 52-item questionnaire assessed nicotine e-cigarette use, perceptions, COVID-19 diagnosis, demographic data, and vaping habits among respondents aged 16-96 years …
Source: PubMedCategories: Latest Headlines, PulmonologyTweet
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Mashup Score: 1Utilizing eye tracking to assess electronic health record use by pharmacists in the intensive care unit - PubMed - 3 year(s) ago
The study results suggest that in addition to medication information, laboratory data and clinical notes are key focuses of ICU pharmacist review of patient records and that navigation to multiple screens is required in order to view these data with the EHR. New pharmacy-specific EHR interfaces shou …
Source: PubMedCategories: Latest Headlines, PulmonologyTweet
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Mashup Score: 0Electronic Inhaler Monitoring for Chronic Airway Disease: Development and Application of a Multidimensional Efficacy Framework - 3 year(s) ago
Inhaled therapy is the cornerstone of chronic airway disease therapy, but poor adherence to controller inhalers worsens clinical outcomes and increases cost. Monitoring of controller use is needed to improve adherence, and monitoring of reliever use can predict impending exacerbations. Both can be accurately achieved by electronic inhaler monitoring (EIM). However, evidence for EIM use in…
Categories: Allergy-Immunology, Latest HeadlinesTweet
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Mashup Score: 0
The field of immunogenomics has the opportunity for accelerated genetic discovery aided by the maturation of electronic health records (EHRs) linked to DNA biobanks. Novel analysis methods in deep phenotyping of EHR data will allow the full realization of the paired and increasingly dense genetic/phenotypic information available. This will enable researchers to uncover genetic risk factors for…
Categories: Allergy-Immunology, Latest HeadlinesTweet
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Mashup Score: 0The Impact of an Electronic Health Record Intervention on Spirometry Completion in Patients with Chronic Obstructive Pulmonary Disease - PubMed - 3 year(s) ago
Spirometry is necessary to diagnose chronic obstructive pulmonary disease (COPD), yet a large proportion of patients are diagnosed and treated without having received testing. This study explored whether the effects of interventions using the electronic health record (EHR) to target patients diagnos …
Source: PubMedCategories: Latest Headlines, PulmonologyTweet
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Mashup Score: 0Artificial Intelligence Assesses Clinicians’ Adherence to Asthma Guidelines Using Electronic Health Records - 3 year(s) ago
Clinicians’ asthma guideline adherence in asthma care is suboptimal. The effort to improve adherence can be enhanced by assessing and monitoring clinicians’ adherence to guidelines reflected in electronic health records (EHRs), which require costly manual chart review because many care elements cannot be identified by structured data.
Categories: Allergy-Immunology, Latest HeadlinesTweet
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Mashup Score: 0Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure - PubMed - 3 year(s) ago
Machine learning models combining chest radiographs and EHR data can accurately differentiate between common causes of ARF. Further work is needed to determine how these models could act as a diagnostic aid to clinicians in clinical settings.
Source: PubMedCategories: Latest Headlines, PulmonologyTweet
What is #DigitalLiteracy? According to the @NIH it’s: “the ability to seek, find, understand & appraise #healthinformation from #electronic sources & apply the knowledge gained to addressing or solving a health problem.” #HRX2022 Read more here https://t.co/Sb2oyDmBGh https://t.co/zDZ59rDTOs