Development and Implementation of a Semi-Automated Workflow for Point-of-Care Ultrasound Billing and Documentation Within an Electronic Health Record

Dhamija, Akhil; Perry, Laurie A.; OConnor, Timothy J; Ulland, Lisa; Slavik, Evan; Towbin, Alexander J.

doi:10.1007/s10278-022-00742-4

Cited by 3 publications

(4 citation statements)

References 28 publications

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“…Much of this process can be automated, and assistance for this process is generally available through software or device vendors. 21 , 47 , 56 , 57 Another great resource for workflow development and system integration is other hospital or clinic departments that have previously implemented these practices. Consider reaching out to colleagues in emergency medicine, critical care, or anesthesia for guidance and support from areas where POCUS has long been the standard of care and their workflows are often quite mature.…”

Section: Assess Needsmentioning

confidence: 99%

A Clinician’s Guide to the Implementation of Point-of-Care Ultrasound (POCUS) in the Outpatient Practice

Overgaard,

Thilagar,

Bhuiyan

2024

J Prim Care Community Health

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Point-of-care ultrasound (POCUS) is a valuable clinical tool used at the patient bedside to rapidly assess a wide variety of symptoms and problems which would otherwise take hours or even days. Though it has become the standard of care in Emergency Medicine and is becoming so in hospital internal medicine, less uptake has been appreciated in the outpatient setting despite reported interest from clinicians practicing there. A number of common barriers have been cited to explain this gap in use, which usually include access to equipment, mentorship, and time. In this review we present a proposed framework for clinicians who have an interest in implementing POCUS in their outpatient practice which we hope can mitigate some of these barriers and provide a more streamlined pathway to their desired goals.

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Section: Assess Needsmentioning

confidence: 99%

A Clinician’s Guide to the Implementation of Point-of-Care Ultrasound (POCUS) in the Outpatient Practice

Overgaard,

Thilagar,

Bhuiyan

2024

J Prim Care Community Health

View full text Add to dashboard Cite

show abstract

“…For example, with POCUS, a hybrid workflow could be considered when an order is needed for reimbursement or interpretation by a separate department. In this scenario, the imaging may begin prior to the physical order being placed since the ordering physician is also the acquiring physician [ 56 ].…”

Section: Orders Versus Encounters-based Image Capture: Implications P...mentioning

confidence: 99%

“…In some encounters-based image-capture workflows, the procedure specificity is lost. The procedure specificity can be resolved via applications and EHR-driven workflows [ 56 ]. However, some of the efficiency of an encounter-based workflow is lost when having to select the correct procedure.…”

Section: Workflow Challenges Of Enterprise Imaging: Himss-siim Collab...mentioning

confidence: 99%

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HIMSS-SIIM Enterprise Imaging Community White Papers: Reflections and Future Directions

Roth,

Petersilge,

Clunie

et al. 2024

J Digit Imaging. Inform. med.

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Imaging Informatics Education in Clinical Informatics Programs: Perspective from Imaging and Clinical Informatics Professionals

Bumbarger,

Towbin,

Garcia-Filion

et al. 2024

Appl Clin Inform

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Background Imaging and Clinical Informatics are domains of biomedical informatics. Imaging Informatics topics are often not covered in depth in most Clinical Informatics fellowships. While dedicated Imaging Informatics fellowships exist, they may not have the same rigor as ACGME (Accreditation Council for Graduate Medical Education) accredited Clinical Informatics fellowships and they do not provide a direct path toward subspecialty board certification. Objectives We compared published curricula and test content between Clinical and Imaging Informatics fellowship programs. We then highlighted differences between training programs and identified overlapping topics and opportunities for additional education for each type of trainee. Methods Published consensus curricula and topics were extracted for each specialty. Two informaticists compared topics as shared or not shared between specialties. Next, test content outlines were compared for each specialty exam, extracted, and classified as shared or not shared content. A Venn diagram was created to highlight areas unique to each specialty as well as areas of overlap. Results There were 139 Clinical Informatics topics compared with 97 Imaging Informatics topics. Of the 139 Clinical Informatics topics, 115 (83%) were covered in the Imaging Informatics curriculum. Of the 97 Imaging Informatics topics, 74 (76%) were covered in the Clinical Informatics curriculum. When using test content outline data, 170 out of 397 (43%) Imaging Informatics topics matched to 64 out of 139 (46%) Clinical Informatics topics. We describe examples of overlapping topics and those unique to each program to identify potential areas to expand. Conclusion Imaging Informatics and Clinical Informatics fellowship programs have some overlap with areas unique to each. Our review may help guide those seeking informatics education and potential certification. As enterprise imaging evolves, these differences may become more important and create knowledge gaps, if not systematically evaluated.

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Development and Implementation of a Semi-Automated Workflow for Point-of-Care Ultrasound Billing and Documentation Within an Electronic Health Record

Cited by 3 publications

References 28 publications

A Clinician’s Guide to the Implementation of Point-of-Care Ultrasound (POCUS) in the Outpatient Practice

A Clinician’s Guide to the Implementation of Point-of-Care Ultrasound (POCUS) in the Outpatient Practice

HIMSS-SIIM Enterprise Imaging Community White Papers: Reflections and Future Directions

Imaging Informatics Education in Clinical Informatics Programs: Perspective from Imaging and Clinical Informatics Professionals

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