Asthma Clinical Trial
Official title:
Prediction of 30-Day Readmission Using Machine Learning
This is a retrospective observational study drawing on data from the Brigham and Women's Home Hospital database. Sociodemographic and clinic data from a training cohort were used to train a machine learning algorithm to predict the likelihood of 30-day readmission throughout a patient's admission. This algorithm was then validated in a validation cohort.
| Status | Not yet recruiting |
| Enrollment | 500 |
| Est. completion date | December 1, 2022 |
| Est. primary completion date | December 1, 2022 |
| Accepts healthy volunteers | No |
| Gender | All |
| Age group | 18 Years and older |
| Eligibility | Was a subject in the Brigham and Women's Home Hospital study and has a completed record in the study's database. |
| Country | Name | City | State |
|---|---|---|---|
| United States | Brigham and Women's Faulkner Hospital | Boston | Massachusetts |
| United States | Brigham and Women's Hospital | Boston | Massachusetts |
| Lead Sponsor | Collaborator |
|---|---|
| Brigham and Women's Hospital | Biofourmis Inc. |
United States,
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Bolourani S, Tayebi MA, Diao L, Wang P, Patel V, Manetta F, Lee PC. Using machine learning to predict early readmission following esophagectomy. J Thorac Cardiovasc Surg. 2021 Jun;161(6):1926-1939.e8. doi: 10.1016/j.jtcvs.2020.04.172. Epub 2020 May 29. Erratum in: J Thorac Cardiovasc Surg. 2020 Oct 17;:. — View Citation
Li Q, Yao X, Échevin D. How Good Is Machine Learning in Predicting All-Cause 30-Day Hospital Readmission? Evidence From Administrative Data. Value Health. 2020 Oct;23(10):1307-1315. doi: 10.1016/j.jval.2020.06.009. Epub 2020 Sep 7. — View Citation
Loreto M, Lisboa T, Moreira VP. Early prediction of ICU readmissions using classification algorithms. Comput Biol Med. 2020 Mar;118:103636. doi: 10.1016/j.compbiomed.2020.103636. Epub 2020 Feb 1. — View Citation
Merrill RK, Ferrandino RM, Hoffman R, Shaffer GW, Ndu A. Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures. J Foot Ankle Surg. 2019 May;58(3):410-416. doi: 10.1053/j.jfas.2018.09.004. Epub 2019 Feb 23. — View Citation
Morel D, Yu KC, Liu-Ferrara A, Caceres-Suriel AJ, Kurtz SG, Tabak YP. Predicting hospital readmission in patients with mental or substance use disorders: A machine learning approach. Int J Med Inform. 2020 Jul;139:104136. doi: 10.1016/j.ijmedinf.2020.104136. Epub 2020 Apr 18. — View Citation
Xue Y, Klabjan D, Luo Y. Predicting ICU readmission using grouped physiological and medication trends. Artif Intell Med. 2019 Apr;95:27-37. doi: 10.1016/j.artmed.2018.08.004. Epub 2018 Sep 10. — View Citation
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | 30-Day Readmission [ yes / no ] | Unplanned hospital admission within 30 days of having been discharged | From date of admission to 30-days post-discharge (31 to 54 days) |
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