Literature DB >> 28837212

Barriers to Achieving Economies of Scale in Analysis of EHR Data. A Cautionary Tale.

Mark P Sendak, Suresh Balu, Kevin A Schulman1.   

Abstract

Signed in 2009, the Health Information Technology for Economic and Clinical Health Act infused $28 billion of federal funds to accelerate adoption of electronic health records (EHRs). Yet, EHRs have produced mixed results and have even raised concern that the current technology ecosystem stifles innovation. We describe the development process and report initial outcomes of a chronic kidney disease analytics application that identifies high-risk patients for nephrology referral. The cost to validate and integrate the analytics application into clinical workflow was $217,138. Despite the success of the program, redundant development and validation efforts will require $38.8 million to scale the application across all multihospital systems in the nation. We address the shortcomings of current technology investments and distill insights from the technology industry. To yield a return on technology investments, we propose policy changes that address the underlying issues now being imposed on the system by an ineffective technology business model.

Entities:  

Keywords:  Chronic Kidney Diseases; Health Services Research; Informatics; Primary Health Care

Mesh:

Year:  2017        PMID: 28837212      PMCID: PMC6220705          DOI: 10.4338/ACI-2017-03-CR-0046

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  14 in total

1.  Escaping the EHR trap--the future of health IT.

Authors:  Kenneth D Mandl; Isaac S Kohane
Journal:  N Engl J Med       Date:  2012-06-14       Impact factor: 91.245

2.  Information technology comes to medicine.

Authors:  David Blumenthal; John P Glaser
Journal:  N Engl J Med       Date:  2007-06-14       Impact factor: 91.245

3.  CKD as a Model for Improving Chronic Disease Care through Electronic Health Records.

Authors:  Paul E Drawz; Patrick Archdeacon; Clement J McDonald; Neil R Powe; Kimberly A Smith; Jenna Norton; Desmond E Williams; Uptal D Patel; Andrew Narva
Journal:  Clin J Am Soc Nephrol       Date:  2015-06-25       Impact factor: 8.237

4.  Implications of an emerging EHR monoculture for hospitals and healthcare systems.

Authors:  Ross Koppel; Christoph U Lehmann
Journal:  J Am Med Inform Assoc       Date:  2014-10-23       Impact factor: 4.497

5.  A predictive model for progression of chronic kidney disease to kidney failure.

Authors:  Navdeep Tangri; Lesley A Stevens; John Griffith; Hocine Tighiouart; Ognjenka Djurdjev; David Naimark; Adeera Levin; Andrew S Levey
Journal:  JAMA       Date:  2011-04-11       Impact factor: 56.272

6.  Caveats for the use of operational electronic health record data in comparative effectiveness research.

Authors:  William R Hersh; Mark G Weiner; Peter J Embi; Judith R Logan; Philip R O Payne; Elmer V Bernstam; Harold P Lehmann; George Hripcsak; Timothy H Hartzog; James J Cimino; Joel H Saltz
Journal:  Med Care       Date:  2013-08       Impact factor: 2.983

7.  Big data in health care: using analytics to identify and manage high-risk and high-cost patients.

Authors:  David W Bates; Suchi Saria; Lucila Ohno-Machado; Anand Shah; Gabriel Escobar
Journal:  Health Aff (Millwood)       Date:  2014-07       Impact factor: 6.301

8.  Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers.

Authors:  George Hripcsak; Jon D Duke; Nigam H Shah; Christian G Reich; Vojtech Huser; Martijn J Schuemie; Marc A Suchard; Rae Woong Park; Ian Chi Kei Wong; Peter R Rijnbeek; Johan van der Lei; Nicole Pratt; G Niklas Norén; Yu-Chuan Li; Paul E Stang; David Madigan; Patrick B Ryan
Journal:  Stud Health Technol Inform       Date:  2015

9.  The role of specialists in managing the health of populations with chronic illness: the example of chronic kidney disease.

Authors:  Brian J Lee; Ken Forbes
Journal:  BMJ       Date:  2009-07-08

10.  Decline in estimated glomerular filtration rate and subsequent risk of end-stage renal disease and mortality.

Authors:  Josef Coresh; Tanvir Chowdhury Turin; Ron T Gansevoort; Andrew S Levey; Kunihiro Matsushita; Yingying Sang; Shoshana H Ballew; Lawrence J Appel; Hisatomi Arima; Steven J Chadban; Massimo Cirillo; Ognjenka Djurdjev; Jamie A Green; Gunnar H Heine; Lesley A Inker; Fujiko Irie; Areef Ishani; Joachim H Ix; Csaba P Kovesdy; Angharad Marks; Takayoshi Ohkubo; Varda Shalev; Anoop Shankar; Chi Pang Wen; Paul E de Jong; Kunitoshi Iseki; Benedicte Stengel
Journal:  JAMA       Date:  2014-06-25       Impact factor: 56.272

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  14 in total

1.  Novel Data Linkages to Characterize Palliative and End-Of-Life Care: Challenges and Considerations.

Authors:  Cara L McDermott; Ruth A Engelberg; Cossette Woo; Li Li; Catherine Fedorenko; Scott D Ramsey; J Randall Curtis
Journal:  J Pain Symptom Manage       Date:  2019-07-23       Impact factor: 3.612

Review 2.  Advancing Artificial Intelligence in Health Settings Outside the Hospital and Clinic.

Authors:  Nakul Aggarwal; Mahnoor Ahmed; Sanjay Basu; John J Curtin; Barbara J Evans; Michael E Matheny; Shantanu Nundy; Mark P Sendak; Carmel Shachar; Rashmee U Shah; Sonoo Thadaney-Israni
Journal:  NAM Perspect       Date:  2020-11-30

3.  Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine.

Authors:  Lin Lawrence Guo; Stephen R Pfohl; Jason Fries; Jose Posada; Scott Lanyon Fleming; Catherine Aftandilian; Nigam Shah; Lillian Sung
Journal:  Appl Clin Inform       Date:  2021-09-01       Impact factor: 2.762

4.  Evaluation of Machine Learning Models for Clinical Prediction Problems.

Authors:  L Nelson Sanchez-Pinto; Tellen D Bennett
Journal:  Pediatr Crit Care Med       Date:  2022-05-05       Impact factor: 3.971

5.  Monitoring Approaches for a Pediatric Chronic Kidney Disease Machine Learning Model.

Authors:  Keith E Morse; Conner Brown; Scott Fleming; Irene Todd; Austin Powell; Alton Russell; David Scheinker; Scott M Sutherland; Jonathan Lu; Brendan Watkins; Nigam H Shah; Natalie M Pageler; Jonathan P Palma
Journal:  Appl Clin Inform       Date:  2022-05-04       Impact factor: 2.762

6.  A framework for making predictive models useful in practice.

Authors:  Kenneth Jung; Sehj Kashyap; Anand Avati; Stephanie Harman; Heather Shaw; Ron Li; Margaret Smith; Kenny Shum; Jacob Javitz; Yohan Vetteth; Tina Seto; Steven C Bagley; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

7.  Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data.

Authors:  Shengpu Tang; Parmida Davarmanesh; Yanmeng Song; Danai Koutra; Michael W Sjoding; Jenna Wiens
Journal:  J Am Med Inform Assoc       Date:  2020-12-09       Impact factor: 4.497

8.  GA4GH: International policies and standards for data sharing across genomic research and healthcare.

Authors:  Heidi L Rehm; Angela J H Page; Lindsay Smith; Jeremy B Adams; Gil Alterovitz; Lawrence J Babb; Maxmillian P Barkley; Michael Baudis; Michael J S Beauvais; Tim Beck; Jacques S Beckmann; Sergi Beltran; David Bernick; Alexander Bernier; James K Bonfield; Tiffany F Boughtwood; Guillaume Bourque; Sarion R Bowers; Anthony J Brookes; Michael Brudno; Matthew H Brush; David Bujold; Tony Burdett; Orion J Buske; Moran N Cabili; Daniel L Cameron; Robert J Carroll; Esmeralda Casas-Silva; Debyani Chakravarty; Bimal P Chaudhari; Shu Hui Chen; J Michael Cherry; Justina Chung; Melissa Cline; Hayley L Clissold; Robert M Cook-Deegan; Mélanie Courtot; Fiona Cunningham; Miro Cupak; Robert M Davies; Danielle Denisko; Megan J Doerr; Lena I Dolman; Edward S Dove; L Jonathan Dursi; Stephanie O M Dyke; James A Eddy; Karen Eilbeck; Kyle P Ellrott; Susan Fairley; Khalid A Fakhro; Helen V Firth; Michael S Fitzsimons; Marc Fiume; Paul Flicek; Ian M Fore; Mallory A Freeberg; Robert R Freimuth; Lauren A Fromont; Jonathan Fuerth; Clara L Gaff; Weiniu Gan; Elena M Ghanaim; David Glazer; Robert C Green; Malachi Griffith; Obi L Griffith; Robert L Grossman; Tudor Groza; Jaime M Guidry Auvil; Roderic Guigó; Dipayan Gupta; Melissa A Haendel; Ada Hamosh; David P Hansen; Reece K Hart; Dean Mitchell Hartley; David Haussler; Rachele M Hendricks-Sturrup; Calvin W L Ho; Ashley E Hobb; Michael M Hoffman; Oliver M Hofmann; Petr Holub; Jacob Shujui Hsu; Jean-Pierre Hubaux; Sarah E Hunt; Ammar Husami; Julius O Jacobsen; Saumya S Jamuar; Elizabeth L Janes; Francis Jeanson; Aina Jené; Amber L Johns; Yann Joly; Steven J M Jones; Alexander Kanitz; Kazuto Kato; Thomas M Keane; Kristina Kekesi-Lafrance; Jerome Kelleher; Giselle Kerry; Seik-Soon Khor; Bartha M Knoppers; Melissa A Konopko; Kenjiro Kosaki; Martin Kuba; Jonathan Lawson; Rasko Leinonen; Stephanie Li; Michael F Lin; Mikael Linden; Xianglin Liu; Isuru Udara Liyanage; Javier Lopez; Anneke M Lucassen; Michael Lukowski; Alice L Mann; John Marshall; Michele Mattioni; Alejandro Metke-Jimenez; Anna Middleton; Richard J Milne; Fruzsina Molnár-Gábor; Nicola Mulder; Monica C Munoz-Torres; Rishi Nag; Hidewaki Nakagawa; Jamal Nasir; Arcadi Navarro; Tristan H Nelson; Ania Niewielska; Amy Nisselle; Jeffrey Niu; Tommi H Nyrönen; Brian D O'Connor; Sabine Oesterle; Soichi Ogishima; Vivian Ota Wang; Laura A D Paglione; Emilio Palumbo; Helen E Parkinson; Anthony A Philippakis; Angel D Pizarro; Andreas Prlic; Jordi Rambla; Augusto Rendon; Renee A Rider; Peter N Robinson; Kurt W Rodarmer; Laura Lyman Rodriguez; Alan F Rubin; Manuel Rueda; Gregory A Rushton; Rosalyn S Ryan; Gary I Saunders; Helen Schuilenburg; Torsten Schwede; Serena Scollen; Alexander Senf; Nathan C Sheffield; Neerjah Skantharajah; Albert V Smith; Heidi J Sofia; Dylan Spalding; Amanda B Spurdle; Zornitza Stark; Lincoln D Stein; Makoto Suematsu; Patrick Tan; Jonathan A Tedds; Alastair A Thomson; Adrian Thorogood; Timothy L Tickle; Katsushi Tokunaga; Juha Törnroos; David Torrents; Sean Upchurch; Alfonso Valencia; Roman Valls Guimera; Jessica Vamathevan; Susheel Varma; Danya F Vears; Coby Viner; Craig Voisin; Alex H Wagner; Susan E Wallace; Brian P Walsh; Marc S Williams; Eva C Winkler; Barbara J Wold; Grant M Wood; J Patrick Woolley; Chisato Yamasaki; Andrew D Yates; Christina K Yung; Lyndon J Zass; Ksenia Zaytseva; Junjun Zhang; Peter Goodhand; Kathryn North; Ewan Birney
Journal:  Cell Genom       Date:  2021-11-10

9.  Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.

Authors:  Kristin M Corey; Sehj Kashyap; Elizabeth Lorenzi; Sandhya A Lagoo-Deenadayalan; Katherine Heller; Krista Whalen; Suresh Balu; Mitchell T Heflin; Shelley R McDonald; Madhav Swaminathan; Mark Sendak
Journal:  PLoS Med       Date:  2018-11-27       Impact factor: 11.069

10.  Machine Learning in Health Care: A Critical Appraisal of Challenges and Opportunities.

Authors:  Mark Sendak; Michael Gao; Marshall Nichols; Anthony Lin; Suresh Balu
Journal:  EGEMS (Wash DC)       Date:  2019-01-24
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