Accès ouvert déclaré
2026
article
A Novel Electronic Medical Record Search Method to Identify Patients With Ketosis-Prone Diabetes: Implications for Discovery of Atypical Diabetes
Maaz Ahmed, Elizabeth Kubota-Mishra, Alejandro F. Siller, Ansley Davis, ILIANA MIGACZ, Stephanie Sisley, Jordana A. Faruqi, ZEB I. SAEED, SARAH AHMED, LOUIS PHILIPSON, Maria J. Redondo, Ashok Balasubramanyam, Mustafa Tosur, RADIANT Study Group*, Ashok Balasubramanyam, Maria J. Redondo, Karina Borja, William Craigen, Chao Cheng, Meredith Defrees, Monica Dussan, Farida Eid, Jordana Faruqi, Mariya Fatakdawala, Ruchi Gaba, Danielle Garza, OLIVIA GINNARD, Mark Herman, Pengfei Liu, Kristina Macakova, Aikaterini Nella, Nkechinyere Osuji, Stephanie Pangas, Nalini Ram, Micheline de Resende, Aniko Sabo, ALEJANDRO SILLER, Casey Thornton, Mustafa Tosur, Eric Venner, MOLLY WAHLQUIST, MARCELA ASTUDILLO, Adriana Cardenas, Hongzheng Dai, Dimpi Desai, Mary Fang, Erica Hattery, Adrienne Ideouzu, Shalini Jhangiani, Julizza Jimenez, Nupur Kikani, Yidan Li, Graciela Montes, David Murdock, Nikalina G. O’Brien, Jennifer Posey, Brianna Salinas, Lee-Jun Wong, Robin Goland, Amy Doytchinov, RACHELLE GANDICA, Rudolph Leibel, Jacqueline Lonier, Anabel Evans, Kaisha Mofford, James Pring, Carmella Evans-Molina, Raquel Ciprian, Sarah Fischer, Hannah Lease, Angelica Mckibben, Emily Sims, Maria Spall, Zunera Tariq, Farrah Anwar, Marimar Hernández‐Pérez, Kieren Mather, Gabriela Monaco, Kelly Moors, Anna Neyman, Zeb Saeed, Sara Cromer, Jose C. Florez, Aaron Deutsch, Julia Douvas, ALANA FAHEY, Raymond Kreienkamp, Kaitlyn Shank, Miriam S. Udler, Armen Yerevanian, Melissa Calverley, Victoria Chen, Kathy Chu, Mariella Facibene, Melton Fan, Cristinia Fernandez Hernandez, EVELYN GREAUX, CHRISTOPHER HAN, Saadhvi Kartik, Dorit Koren, Micah Koss, Mary Larkin, William Marshall, Pam Ricevuto, Amy Sabean, JORDAN SHERWOOD, Nopporn Thangthaeng, LIANA K. BILLINGS, Mary Ann Banerji, Necole Brown, Lina Soni, Lorraine Thomas, Jennifer Abrams, Klynt Bally, Beisi Ji, Samara Skiwiersky, Louis H. Philipson, Siri Atma W. Greeley, Graeme Bell, Mariama Camara, Anne Gandolfi, Nava Himelhoch, Ava Jerred, Lisa R. Letourneau-Freiberg, Carlin Lockwood, Michael McCullough, Kynnedie Maloz, Rochelle N. Naylor, Anna Riccardi, Karen Rodriguez, Shanna Banogon, Colleen Bender, Jui Desai, Anisa Dye, David Ehrmann, Lainie Friedman Ross, Kaylee Oppenheimer, Erin Papciak, Rachel Son, Manu Sundaresan, Persephone Tian, Chelsea Wu, Neda Rasouli, Chelsea Baker, Megan Griff, Marjan Rezaei, Vatsala Singh, Abtin Shams, Mohsen Bahmani Kashkouli, Jules Barklow, Noosha Farhat, Andrew Her, R. Lorch, Carter Odean, Wyatt Pfau, Avinash Pyreddy, Katlyn Sawyer, Courtney Shean, Gregory Schleis, Chantal Underkofler, Toni I. Pollin, Nida Anwar, Aleisha Collinson-Streng, Hadley Bryan, Colleen Jodarski, Kristin Maloney, Jennifer Marron, Paula Newton, Maria Nikita, Knightess Oyibo, Hilary Whitlatch, Julia Ullman, Cindi Young, Ryan Jollie, Kathleen Palmer, S M Riley, Ryan Miller, Devon Nwaba, Kristi Silver, Elizabeth Streeten, Jessica Tiner, Elif A. Oral, Yasmin Aly, Özge Besci, DAVID BROOME, Merve Celik-Gular, Taehua Chun, Anderson De Paulo Souza, ANABELA DILL GOMES, Eduardo Gomez Pineiro, Brigid Gregg, Adam Neidert, Carman Richison, Melda Sonmez Ince, Barış Akıncı, Donatella Gilio, Seda Grigoryan, Rita Hench, Salman Imam, Diarratou Kaba, Maria Foss de Freitas, Krista Noviski, Chika Uwandu, Andrea Coviello, Jamie Diner, Tahereh Ghorbani, Alex Kass, Klara Klein, Rachael Unger, Sue Kirkman, Irl B. Hirsch, Jesica Baran, Steven E. Kahn, Dori Khakpour, Xiaofu Dong, Kate Hetherington, Rosanna Holod, Thanmai Kalerus, Lori Sameshima, Dhanashree Sawant, Patali Mandava, Catherine Pihoker, Beth Loots, Cisco Pascual, Kathleen Santarelli, Kevin Niswender, Leslie Boone, Jeeyeon Cha, Norma Edwards, Alvin Powers, Jaclyn Tamaroff, Justin Gregory, Andrea Ramirez, Jennifer Scott, Jordan Smith, Fumihiko Urano, Samantha DiGruccio, Cris Brown, Joel Brune, Mary Jane Clifton, McKinlee Gobble, Stacy Hurst, Laura Lee, Janet McGill, Stephen Stone, Brittany Zwijack, Toko Campbell, Jing Hughes, Jennifer May, Isabella Paolicelli, Jeffrey P. Krischer, Rajesh Adusumalli, Bruce Albritton, Analia Aquino-Barfield, Paul Bransford, Nicholas Cadigan, Laura Gandolfo, Jennifer Garmeson, Robert Gowing, Juan Herrera, Christina Karges, CALLYN KIRK, Sarah Muller, Jean Morissette, Hemang M. Parikh, Francisco Perez-Laras, Cassandra Remedios, Pablo Ruiz, Noah Sulman, Michael Toth, Lili Wurmser, Yuting Yang, Christopher Eberhard, Steven Fiske, Joseph Gomes, Brandy Hutchinson, Sidhvi Nekkanti, Rebecca Wood, MacKenzie Brandes, Wendy K. Chung, Jason Flannick, Steven Gage, ARIJEET GATTU, Josep Mercader, Phebe Olorunfemi, Eric Richards, Ahmed Alkanaq, Lizz Caulkins, CLIVE WASSERFALL, DAVID PITTMAN, William Winter, Beena Akolkar, Christine Lee, David J. Carey, Daniel Hood, Santica M. Marcovina, Christopher B. Newgard
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Résumé fourni par la source
We developed Python-based Expeditious Program for Parsing Electronic Records (PEPPER) as a novel electronic medical record (EMR) search tool. We tested its utility and efficiency to automate the first step of identifying patients with A-β+ ketosis-prone diabetes (KPD). Electronic charts of 1,660 youth with type 2 diabetes (T2D) were analyzed by PEPPER to identify those with diabetic ketoacidosis (DKA) within 6 months of diagnosis. The efficiency and accuracy of PEPPER were compared with manual review. Further review confirmed A-β+ KPD per the Rare and Atypical Diabetes Network criteria. PEPPER identified 110 youth with T2D and DKA, of whom 21 met full A-β+ KPD criteria. PEPPER significantly reduced chart review time for this initial critical step compared with manual searching (mean ± SD 13.4 ± 3.9 s vs. 26.6 ± 9.4 s per chart; P < 0.001), and was 100% accurate. PEPPER streamlines EMR review, significantly reducing manual effort without sacrificing accuracy.
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Contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- A Novel Electronic Medical Record Search Method to Identify Patients With Ketosis-Prone Diabetes: Implications for Discovery of Atypical Diabetes
- Date Crossref
- 26/06/2026
- Éditeur
- American Diabetes Association
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.
Institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.
Sujets associés
Diabetes and associated disordersMachine Learning in HealthcareArtificial Intelligence in Healthcare