Literature DB >> 33368200

Design and implementation of electronic health record common data elements for pediatric epilepsy: Foundations for a learning health care system.

Zachary M Grinspan1, Anup D Patel2, Renée A Shellhaas3, Anne T Berg4,5, Erika T Axeen6, Jeffrey Bolton7,8, David F Clarke9, Jason Coryell10, William D Gaillard11, Howard P Goodkin6, Sookyong Koh12, Alison Kukla13, Juma S Mbwana11, Lindsey A Morgan14,15, Nilika S Singhal16, Margaret M Storey17, Elissa G Yozawitz18, Nicholas S Abend19,20, Mark P Fitzgerald19,20, Sara E Fridinger19,20, Ingo Helbig19,20,21,22, Shavonne L Massey19,20, Marisa S Prelack19,20, Jeffrey Buchhalter23.   

Abstract

OBJECTIVE: Common data elements (CDEs) are standardized questions and answer choices that allow aggregation, analysis, and comparison of observations from multiple sources. Clinical CDEs are foundational for learning health care systems, a data-driven approach to health care focused on continuous improvement of outcomes. We aimed to create clinical CDEs for pediatric epilepsy.
METHODS: A multiple stakeholder group (clinicians, researchers, parents, caregivers, advocates, and electronic health record [EHR] vendors) developed clinical CDEs for routine care of children with epilepsy. Initial drafts drew from clinical epilepsy note templates, CDEs created for clinical research, items in existing registries, consensus documents and guidelines, quality metrics, and outcomes needed for demonstration projects. The CDEs were refined through discussion and field testing. We describe the development process, rationale for CDE selection, findings from piloting, and the CDEs themselves. We also describe early implementation, including experience with EHR systems and compatibility with the International League Against Epilepsy classification of seizure types.
RESULTS: Common data elements were drafted in August 2017 and finalized in January 2020. Prioritized outcomes included seizure control, seizure freedom, American Academy of Neurology quality measures, presence of common comorbidities, and quality of life. The CDEs were piloted at 224 visits at 10 centers. The final CDEs included 36 questions in nine sections (number of questions): diagnosis (1), seizure frequency (9), quality of life (2), epilepsy history (6), etiology (8), comorbidities (2), treatment (2), process measures (5), and longitudinal history notes (1). Seizures are categorized as generalized tonic-clonic (regardless of onset), motor, nonmotor, and epileptic spasms. Focality is collected as epilepsy type rather than seizure type. Seizure frequency is measured in nine levels (all used during piloting). The CDEs were implemented in three vendor systems. Early clinical adoption included 1294 encounters at one center. SIGNIFICANCE: We created, piloted, refined, finalized, and implemented a novel set of clinical CDEs for pediatric epilepsy.
© 2020 International League Against Epilepsy.

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Mesh:

Year:  2020        PMID: 33368200     DOI: 10.1111/epi.16733

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  8 in total

1.  Conceptualization and implementation of an interdisciplinary clinic for children with drug-resistant epilepsy during the COVID-19 pandemic.

Authors:  Debopam Samanta; Vimala Elumalai; Vidya C Desai; Megan Leigh Hoyt
Journal:  Epilepsy Behav       Date:  2021-10-29       Impact factor: 2.937

Review 2.  Precision medicine for genetic epilepsy on the horizon: Recent advances, present challenges, and suggestions for continued progress.

Authors:  Juliet K Knowles; Ingo Helbig; Cameron S Metcalf; Laura S Lubbers; Lori L Isom; Scott Demarest; Ethan M Goldberg; Alfred L George; Holger Lerche; Sarah Weckhuysen; Vicky Whittemore; Samuel F Berkovic; Daniel H Lowenstein
Journal:  Epilepsia       Date:  2022-07-17       Impact factor: 6.740

Review 3.  Automated Identification of Surgical Candidates and Estimation of Postoperative Seizure Freedom in Children - A Focused Review.

Authors:  Debopam Samanta; Jules C Beal; Zachary M Grinspan
Journal:  Semin Pediatr Neurol       Date:  2021-08-19       Impact factor: 3.042

Review 4.  Computational analysis of neurodevelopmental phenotypes: Harmonization empowers clinical discovery.

Authors:  David Lewis-Smith; Shridhar Parthasarathy; Julie Xian; Michael C Kaufman; Shiva Ganesan; Peter D Galer; Rhys H Thomas; Ingo Helbig
Journal:  Hum Mutat       Date:  2022-05-22       Impact factor: 4.700

Review 5.  Novel Therapeutics for Neonatal Seizures.

Authors:  Julie M Ziobro; Krista Eschbach; Renée A Shellhaas
Journal:  Neurotherapeutics       Date:  2021-08-12       Impact factor: 6.088

6.  Big data analysis and artificial intelligence in epilepsy - common data model analysis and machine learning-based seizure detection and forecasting.

Authors:  Yoon Gi Chung; Yonghoon Jeon; Sooyoung Yoo; Hunmin Kim; Hee Hwang
Journal:  Clin Exp Pediatr       Date:  2021-11-26

7.  Assessing the landscape of STXBP1-related disorders in 534 individuals.

Authors:  Julie Xian; Shridhar Parthasarathy; Sarah M Ruggiero; Ganna Balagura; Eryn Fitch; Katherine Helbig; Jing Gan; Shiva Ganesan; Michael C Kaufman; Colin A Ellis; David Lewis-Smith; Peter Galer; Kristin Cunningham; Margaret O'Brien; Mahgenn Cosico; Kate Baker; Alejandra Darling; Fernanda Veiga de Goes; Christelle M El Achkar; Jan Henje Doering; Francesca Furia; Ángeles García-Cazorla; Elena Gardella; Lisa Geertjens; Courtney Klein; Anna Kolesnik-Taylor; Hanna Lammertse; Jeehun Lee; Alexandra Mackie; Mala Misra-Isrie; Heather Olson; Emma Sexton; Beth Sheidley; Lacey Smith; Luiza Sotero; Hannah Stamberger; Steffen Syrbe; Kim Marie Thalwitzer; Annemiek van Berkel; Mieke van Haelst; Christopher Yuskaitis; Sarah Weckhuysen; Ben Prosser; Charlene Son Rigby; Scott Demarest; Samuel Pierce; Yuehua Zhang; Rikke S Møller; Hilgo Bruining; Annapurna Poduri; Federico Zara; Matthijs Verhage; Pasquale Striano; Ingo Helbig
Journal:  Brain       Date:  2022-06-03       Impact factor: 15.255

8.  Assessing seizure burden in pediatric epilepsy using an electronic medical record-based tool through a common data element approach.

Authors:  Mark P Fitzgerald; Michael C Kaufman; Shavonne L Massey; Sara Fridinger; Marisa Prelack; Colin Ellis; Xilma Ortiz-Gonzalez; Lawrence E Fried; Marissa P DiGiovine; Susan Melamed; Marissa Malcolm; Brenda Banwell; Donna Stephenson; Stephanie M Witzman; Alexander Gonzalez; Dennis Dlugos; Sudha Kilaru Kessler; Ethan M Goldberg; Nicholas S Abend; Ingo Helbig
Journal:  Epilepsia       Date:  2021-06-02       Impact factor: 5.864

  8 in total

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