Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/21248
DC FieldValueLanguage
dc.contributor.advisorKumar, U Dinesh
dc.contributor.authorJain, Arihant
dc.contributor.authorGhosh, Anirban
dc.date.accessioned2022-06-28T09:21:57Z-
dc.date.available2022-06-28T09:21:57Z-
dc.date.issued2021
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/21248-
dc.description.abstractPreventable medical error in a hospital is one of the leading causes of death around the world. Medical errors can occur from different sources in the health care sector. Notable among them is the administration of medications, laboratory testing, infections occurring within the healthcare setting, and surgical processes. Documentation and data entry tasks have also contributed much to medical errors. Many healthcare organizations and government agencies have lists of medical errors that we can gather for further study and training of machine learning models, which can detect and mitigate medical errors more accurately. The earlier we can detect these errors, the better we can protect the patients.
dc.publisherIndian Institute of Management Bangalore
dc.relation.ispartofseriesPGP_CCS_P21_064
dc.subjectHospitals
dc.subjectAppolo hospital
dc.subjectHospital industry
dc.subjectHealthcare industry
dc.subjectArtificial intelligence
dc.titleAnalysis of medical errors for appolo hospital
dc.typeCCS Project Report-PGP
dc.pages12p.
Appears in Collections:2021
Files in This Item:
File SizeFormat 
PGP_CCS_P21_064.pdf419.63 kBAdobe PDFView/Open    Request a copy
Show simple item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.