Literature DB >> 26681164

Implementing a Real-Time Electronic Data Capture System to Improve Clinical Documentation in Radiation Oncology.

Hubert Y Pan1, Simona F Shaitelman1, George H Perkins1, Pamela J Schlembach1, Wendy A Woodward1, Benjamin D Smith2.   

Abstract

PURPOSE: Electronic health records (EHRs) often store information as unstructured text, whereas electronic data capture (EDC) using structured fields is common in clinical trials. We implemented a web-based EDC system for routine clinical care, and describe our experience piloting this system for breast cancer patients receiving radiation therapy.
METHODS: Our institution uses dictation for clinical documentation in a centralized EHR; a separate radiation therapy-specific record-and-verify system contains prescriptions, schedules, and treatment documentation. The implemented EDC system collects patient, tumor, and treatment characteristics using structured data fields and merges it with data from the radiation therapy system to generate template-based notes in the EHR. Mean times to create notes using dictation versus EDC were compared. Users were surveyed about their experience. Acute toxicities were captured using the EDC system, and reported.
RESULTS: The EDC system has been used by 25 providers for 1,296 patients. In the most recent month, 978 clinical notes were generated. The average clinician documentation time over a typical course of radiation was reduced from 22.4 minutes per patient with dictation, to 7.1 minutes with EDC. The user survey response rate was 100%, with 92% of respondents being either satisfied or very satisfied with their experience. The worst acute toxicities were mostly grade 1 (51%) or grade 2 (43%), with rare grade 3 (3%) events.
CONCLUSIONS: We implemented an EDC system for routine clinical use in the breast radiation therapy service that resulted in significant time-savings for clinical documentation and prospective population of a database to facilitate outcomes reporting.
Copyright © 2016 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Radiation oncology; electronic data capture; electronic health records

Mesh:

Year:  2015        PMID: 26681164     DOI: 10.1016/j.jacr.2015.09.036

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  9 in total

1.  An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing.

Authors:  Selen Bozkurt; Jung In Park; Kathleen Mary Kan; Michelle Ferrari; Daniel L Rubin; James D Brooks; Tina Hernandez-Boussard
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

Review 2.  Enhancing Career Paths for Tomorrow's Radiation Oncologists.

Authors:  Neha Vapiwala; Charles R Thomas; Surbhi Grover; Mei Ling Yap; Timur Mitin; Lawrence N Shulman; Mary K Gospodarowicz; John Longo; Daniel G Petereit; Ronald D Ennis; James A Hayman; Danielle Rodin; Jeffrey C Buchsbaum; Bhadrasain Vikram; May Abdel-Wahab; Alan H Epstein; Paul Okunieff; Joel Goldwein; Patrick Kupelian; Joanne B Weidhaas; Margaret A Tucker; John D Boice; Clifton David Fuller; Reid F Thompson; Andrew D Trister; Silvia C Formenti; Mary-Helen Barcellos-Hoff; Joshua Jones; Kavita V Dharmarajan; Anthony L Zietman; C Norman Coleman
Journal:  Int J Radiat Oncol Biol Phys       Date:  2019-05-22       Impact factor: 7.038

3.  Provider Engagement in Radiation Oncology Data Science: Workshop Report.

Authors:  Anshu K Jain; Sanjay Aneja; Clifton D Fuller; Adam P Dicker; Caroline Chung; Erika Kim; Justin S Kirby; Harry Quon; Clara J K Lam; William C Louv; Chris Ahern; Ying Xiao; Todd R McNutt; Nadine Housri; Ronald D Ennis; John Kang; Ying Tang; Howard Higley; Michelle A Berny-Lang; Kevin A Camphausen
Journal:  JCO Clin Cancer Inform       Date:  2020-08

4.  Implementing an Electronic Data Capture System to Improve Clinical Workflow in a Large Academic Radiation Oncology Practice.

Authors:  Dario Pasalic; Jay P Reddy; Timothy Edwards; Hubert Y Pan; Benjamin D Smith
Journal:  JCO Clin Cancer Inform       Date:  2018-12

5.  Implementing web-based ping-pong-type e-communication to enhance staff satisfaction, multidisciplinary cooperation, and clinical effectiveness: A SQUIRE-compliant quality-improving study.

Authors:  Pei-Han Yeh; Shih-Kai Hung; Moon-Sing Lee; Wen-Yen Chiou; Chun-Liang Lai; Wei-Ta Tsai; Hui-Ling Hsieh; Yi-Ting Shih; Liang-Cheng Chen; Li-Wen Huang; Yi-An Lin; Po-Hao Lin; Yung-Hsiang Lin; Dai-Wei Liu; Feng-Chun Hsu; Shiang-Jiun Tsai; Jia-Chi Liu; En-Seu Chung; Hon-Yi Lin
Journal:  Medicine (Baltimore)       Date:  2016-11       Impact factor: 1.889

6.  Is it possible to automatically assess pretreatment digital rectal examination documentation using natural language processing? A single-centre retrospective study.

Authors:  Selen Bozkurt; Kathleen M Kan; Michelle K Ferrari; Daniel L Rubin; Douglas W Blayney; Tina Hernandez-Boussard; James D Brooks
Journal:  BMJ Open       Date:  2019-07-18       Impact factor: 2.692

7.  Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm.

Authors:  Selen Bozkurt; Emel Alkim; Imon Banerjee; Daniel L Rubin
Journal:  J Digit Imaging       Date:  2019-08       Impact factor: 4.056

8.  Improving Documentation Using a Real-Time Location System in a Pediatric Emergency Department.

Authors:  Kevin M Overmann; Lindsey Barrick; Stephen C Porter
Journal:  Appl Clin Inform       Date:  2021-05-26       Impact factor: 2.762

9.  Enhancing clinical effectiveness of pre-radiotherapy workflow by using multidisciplinary-cooperating e-control and e-alerts: A SQUIRE-compliant quality-improving study.

Authors:  Yung-Hsiang Lin; Shih-Kai Hung; Moon-Sing Lee; Wen-Yen Chiou; Chun-Liang Lai; Yi-Ting Shih; Pei-Han Yeh; Yi-An Lin; Wei-Ta Tsai; Hui-Ling Hsieh; Liang-Cheng Chen; Li-Wen Huang; Po-Hao Lin; Dai-Wei Liu; Feng-Chun Hsu; Shiang-Jiun Tsai; Jia-Chi Liu; En-Seu Chung; Hon-Yi Lin
Journal:  Medicine (Baltimore)       Date:  2017-06       Impact factor: 1.817

  9 in total

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