Evidence map›Paper›PMID 35920135›Full record

ArticleJournal of applied clinical medical physics2022

Real-time analysis and display of quantitative measures to track and improve clinical workflow.

Reshma Munbodh, Toni M Roth, Kara L Leonard, Robert C Court, Utkarsh Shukla, Sarah Andrea, Marissa Gray, Gregg Leichtman, Eric E Klein

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Reshma MunbodhDepartment of Radiation Oncology, Alpert Medical School of Brown University, Providence, Rhode Island, USA.ORCID https://orcid.org/0000-0002-7982-7814
Toni M RothDepartment of Radiation Oncology, Alpert Medical School of Brown University, Providence, Rhode Island, USA.
Kara L LeonardDepartment of Radiation Oncology, Alpert Medical School of Brown University, Providence, Rhode Island, USA.
Robert C CourtInstitute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, UK.
Utkarsh ShuklaDepartment of Radiation Oncology, Alpert Medical School of Brown University, Providence, Rhode Island, USA.
Sarah AndreaLifespan Biostatistics Epidemiology and Research Design Core, Rhode Island Hospital, Providence, Rhode Island, USA.
Marissa GraySchool of Engineering, Brown University, Providence, Rhode Island, USA.
Gregg LeichtmanClario, Philadelphia, Pennsylvania, USA.
Eric E KleinDepartment of Radiation Oncology, Alpert Medical School of Brown University, Providence, Rhode Island, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRadiotherapy treatment planning is a complex process with multiple, dependent steps involving an interdisciplinary patient care team. Effective communication and real-time tracking of resources and care path activities are key for clinical efficiency and patient safety. MATERIALS AND

methodsWe designed and implemented a secure, interactive web-based dashboard for patient care path, clinical workflow, and resource utilization management. The dashboard enables visualization of resource utilization and tracks progress in a patient's care path from the time of acquisition of the planning CT to the time of treatment in real-time. It integrates with the departmental electronic medical records (EMR) system without the creation and maintenance of a separate database or duplication of work by clinical staff. Performance measures of workflow were calculated.

resultsThe dashboard implements a standardized clinical workflow and dynamically consolidates real-time information queried from multiple tables in the EMR database over the following views: (1) CT Sims summarizes patient appointment information on the CT simulator and patient load; (2) Linac Sims summarizes patient appointment times, setup history, and notes, and patient load; (3) Task Status lists the clinical tasks associated with a treatment plan, their due date, status and ownership, and patient appointment details; (4) Documents provides the status of all documents in the patients' charts; and (5) Diagnoses and Interventions summarizes prescription information, imaging instructions and whether the plan was approved for treatment. Real-time assessment and quantification of progress and delays in a patient's treatment start were achieved.

conclusionsThis study indicates it is feasible to develop and implement a dashboard, tailored to the needs of an interdisciplinary team, which derives and integrates information from the EMR database for real-time analysis and display of resource utilization and clinical workflow in radiation oncology. The framework developed facilitates informed, data-driven decisions on clinical workflow management as we seek to optimize clinical efficiency and patient safety.

Indexed as

Particle AcceleratorsRadiation OncologyHumansPatient SafetySoftwareWorkflowdashboarddatabaseelectronic medical recordsquality assuranceradiation therapy

Identifiers

PMID35920135
PMCPMC9512345

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.