Electronic Health Records (EHR) Research This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Variable Impact of Medical Scribes on Physician Electronic Health Record Documentation Practices: A Quantitative Analysis Across a Large, Integrated Health-System
CONCLUSION: Although scribes may improve documentation efficiency among some physicians, not all will improve EHR-related documentation practices. Different strategies may help to optimize documentation behaviors of physician-scribe dyads and maximize outcomes of scribe implementation.PMID:38740487 | DOI:10.3122/jabfm.2023.230211R2 (Source: American Family Physician)
Source: American Family Physician - May 13, 2024 Category: Primary Care Authors: Sarah T Florig Sky Corby Tanuj Devara Nicole G Weiskopf Jeffrey A Gold Vishnu Mohan Source Type: research

Machine learning in cardiac surgery: a narrative review
CONCLUSIONS: Studies utilizing high volume, multidimensional data such as that derived from electronic health record (EHR) data appear to best demonstrate the advantages of ML methods. Models trained on post cardiac surgery intensive care unit data demonstrate excellent predictive performance and may provide greater clinical utility if incorporated as clinical decision support tools. Further development of ML models and their integration into EHR's may result in dynamic clinical decision support strategies capable of informing clinical care and improving outcomes in cardiac surgery.PMID:38738250 | PMC:PMC11087616 | DOI:10....
Source: Journal of Thoracic Disease - May 13, 2024 Category: Respiratory Medicine Authors: Travis J Miles Ravi K Ghanta Source Type: research

What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care
J Am Board Fam Med. 2024 Mar-Apr;37(2):332-345. doi: 10.3122/jabfm.2023.230219R1.ABSTRACTPrimary care physicians are likely both excited and apprehensive at the prospects for artificial intelligence (AI) and machine learning (ML). Complexity science may provide insight into which AI/ML applications will most likely affect primary care in the future. AI/ML has successfully diagnosed some diseases from digital images, helped with administrative tasks such as writing notes in the electronic record by converting voice to text, and organized information from multiple sources within a health care system. AI/ML has less successfu...
Source: Australian Family Physician - May 13, 2024 Category: Primary Care Authors: Richard A Young Carmel M Martin Joachim P Sturmberg Sally Hall Andrew Bazemore Ioannis A Kakadiaris Steven Lin Source Type: research

What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care
J Am Board Fam Med. 2024 Mar-Apr;37(2):332-345. doi: 10.3122/jabfm.2023.230219R1.ABSTRACTPrimary care physicians are likely both excited and apprehensive at the prospects for artificial intelligence (AI) and machine learning (ML). Complexity science may provide insight into which AI/ML applications will most likely affect primary care in the future. AI/ML has successfully diagnosed some diseases from digital images, helped with administrative tasks such as writing notes in the electronic record by converting voice to text, and organized information from multiple sources within a health care system. AI/ML has less successfu...
Source: American Family Physician - May 13, 2024 Category: Primary Care Authors: Richard A Young Carmel M Martin Joachim P Sturmberg Sally Hall Andrew Bazemore Ioannis A Kakadiaris Steven Lin Source Type: research

Clinician Barriers to Ordering Pulmonary Function Tests for Adults with Suspected Asthma
DISCUSSION: PFTs improve diagnostic accuracy and reduce inappropriate therapies. Of the barriers we identified, the most modifiable is to educate clinicians about how PFTs can change management. That in conjunction with an EHR prompt, which clinicians approved of, may lead to guideline congruent and improved quality in asthma care.PMID:38740479 | DOI:10.3122/jabfm.2023.230347R1 (Source: American Family Physician)
Source: American Family Physician - May 13, 2024 Category: Primary Care Authors: Alana Haussmann Anita N Moudgal Megan Calzia Laura P Hurley Source Type: research

Electronic Health Record –Based Algorithm for Monitoring Respiratory Virus–Like Illness
N. M. Cocoros et al. (Source: Emerging Infectious Diseases Journal)
Source: Emerging Infectious Diseases Journal - May 13, 2024 Category: Infectious Diseases Source Type: research

Is Screening for Primary Aldosteronism Always the Best Option? —Reply
In Reply We appreciate the perspective from Boulestreau and Couffinhal on our recent initiative to enhance screening for primary aldosteronism (PA) by leveraging electronic health records capabilities. We designed and implemented an advisory that identifies PA screening candidates and assists clinicians with test ordering and interpretation. Boulestreau and Couffinhal suggest empirical use of mineralocorticoid receptor antagonists (MRA) to treat patients with possible PA as a more pragmatic alternative to PA screening. (Source: JAMA Internal Medicine)
Source: JAMA Internal Medicine - May 13, 2024 Category: Internal Medicine Source Type: research

Improving measurement of functional status among older adults in primary care: A pilot study
The objective of this study was to pilot test a person -centered, interprofessional intervention to improve identification and management of functional impairment among older adults in Veterans Affairs (VA) primary care practices. The four-component intervention included (1) an interprofessional educational session; (2) routine, standardized functional status measurement among patients aged ≥75; (3) annual screening by nurses using a standardized instrument and follow-up assessment by primary care providers; and (4) electronic tools and templates to facilitate increased identification and improved management of functiona...
Source: PLoS One - May 13, 2024 Category: Biomedical Science Authors: Rebecca T. Brown Source Type: research

Association between non-registration of chronic kidney disease and mortality and cardiovascular outcome: a time-to-event analysis of retrospective primary care data
Conclusion An association between non-registration and all-cause mortality was identified, although no such association was apparent for CVD. (Source: BMJ Open)
Source: BMJ Open - May 13, 2024 Category: General Medicine Authors: Van den Wyngaert, I., Mamouris, P., Ali, E. A., Vaes, B., Van Pottelbergh, G. Tags: Open access, General practice / Family practice Source Type: research

The Role of Telehealth in Improving Care Connections and Outcomes for Community Health Center Patients with Diabetes
Conclusions: Telehealth can be a highly effective, patient-centered form of care for people with diabetes. Telehealth can play a critical role in keeping vulnerable patients with diabetes connected to their care team and involved in care and may be an important tool for reducing health disparities. (Source: Journal of the American Board of Family Medicine)
Source: Journal of the American Board of Family Medicine - May 13, 2024 Category: Primary Care Authors: Simon, J., Eggleston, A., Bright, D., Driscoll, P., Morrison, J., Yang, T.-Y., Liss, D. T. Tags: Original Research Source Type: research