Using Failure Mode and Effects Analysis (FMEA) to Improve Patient Safety in_x000B_u-Health Nursing Service

2.50
Hdl Handle:
http://hdl.handle.net/10755/335535
Category:
Abstract
Type:
Presentation
Title:
Using Failure Mode and Effects Analysis (FMEA) to Improve Patient Safety in_x000B_u-Health Nursing Service
Author(s):
Choi, Hanna
Lead Author STTI Affiliation:
Lambda Alpha-at-Large
Author Details:
Hanna Choi, MA, vision229@hanmail.net
Abstract:
Session presented on Saturday, July 26, 2014: Purpose: The aim of this study is to identify and assess the management of risk in relation to the use of a tele-nursing service to promote service quality and assure patient safety. This study utilizes failure mode and effect analysis, a proactive technique. Low-income older adults generally have higher requirements for a u-health service as they suffer from more diseases and thus have more of a need for health management than the general adult population. However, there are difficulties and possible risk factors given their low health literacy rates and inability to use new u-Health devices. The FMEA method is utilized to implement the new service in an effort to prevent avoid errors before they occur. Methods: First, the context was established, after which four multidisciplinary teams of four persons each, including a tele-nurse, an internet company staff member, a representative from the equipment manufacturer, and a person serving as a manager of the participant resident, were assembled to analyze the possible causes of issues that can arise during the tele-nursing service process. Second, analyses of identification risk areas were conducted to examine the risk factors associated with the process, looking forward at component failure rather than backward. Failure modes were scored with a risk priority number (RPN) for each step and change, by multiplying the Occurrence, Severity, and Detection scores according to the JCAHO classification. Results: Twenty three clinical error and failure modes were analyzed in relation to the u-Health nursing service. As a result, accidents could be sorted into two types: care service (43.5%) and system (56.5%) accidents. A flow diagram indicating the four points of preparation for bio-signal measurements, measurement followed by device instructions, the checking of the result by the participant and tele-nurse, and an assessment outcome, was devised. A hazard analysis according to the RPN risk priority number was conducted to analyze elements leading to the following areas: a lack of preparation for bio-signal check-ups(24 score), forgetting the measurement method(15 score), emergencies which could arise(15 score), situations related to the internet connection network(12 score) and power(12 score), not following the instructions of the u-Health measurement device(12 score), and assessments of older people by telephone(12 score). Conclusion: We understood where and when risk tasks are undertaken during a participants check their bio-signal. FMEA to Tele-nursing services for patient safety enhance and reduce from significant risks. Identified many clinical risk assessment management can be preventable usage in service using aged population.
Keywords:
Tele-nursing; Patient safety; Low-income elderly
Repository Posting Date:
17-Nov-2014
Date of Publication:
17-Nov-2014
Conference Date:
2014
Conference Name:
25th International Nursing Research Congress
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Hong Kong
Description:
International Nursing Research Congress, 2014 Theme: Engaging Colleagues: Improving Global Health Outcomes. Held at the Hong Kong Convention and Exhibition Centre, Wanchai, Hong Kong
Note:
This is an abstract-only submission. If the author has submitted a full-text item related to this abstract, you may find it by browsing the repository by author. If author contact information is availabe in this abstract, please feel free to contact him or her with your queries regarding this submission.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_GB
dc.type.categoryAbstracten_GB
dc.typePresentationen_GB
dc.titleUsing Failure Mode and Effects Analysis (FMEA) to Improve Patient Safety in_x000B_u-Health Nursing Serviceen_GB
dc.contributor.authorChoi, Hannaen_GB
dc.contributor.departmentLambda Alpha-at-Largeen_GB
dc.author.detailsHanna Choi, MA, vision229@hanmail.neten_GB
dc.identifier.urihttp://hdl.handle.net/10755/335535-
dc.description.abstractSession presented on Saturday, July 26, 2014: Purpose: The aim of this study is to identify and assess the management of risk in relation to the use of a tele-nursing service to promote service quality and assure patient safety. This study utilizes failure mode and effect analysis, a proactive technique. Low-income older adults generally have higher requirements for a u-health service as they suffer from more diseases and thus have more of a need for health management than the general adult population. However, there are difficulties and possible risk factors given their low health literacy rates and inability to use new u-Health devices. The FMEA method is utilized to implement the new service in an effort to prevent avoid errors before they occur. Methods: First, the context was established, after which four multidisciplinary teams of four persons each, including a tele-nurse, an internet company staff member, a representative from the equipment manufacturer, and a person serving as a manager of the participant resident, were assembled to analyze the possible causes of issues that can arise during the tele-nursing service process. Second, analyses of identification risk areas were conducted to examine the risk factors associated with the process, looking forward at component failure rather than backward. Failure modes were scored with a risk priority number (RPN) for each step and change, by multiplying the Occurrence, Severity, and Detection scores according to the JCAHO classification. Results: Twenty three clinical error and failure modes were analyzed in relation to the u-Health nursing service. As a result, accidents could be sorted into two types: care service (43.5%) and system (56.5%) accidents. A flow diagram indicating the four points of preparation for bio-signal measurements, measurement followed by device instructions, the checking of the result by the participant and tele-nurse, and an assessment outcome, was devised. A hazard analysis according to the RPN risk priority number was conducted to analyze elements leading to the following areas: a lack of preparation for bio-signal check-ups(24 score), forgetting the measurement method(15 score), emergencies which could arise(15 score), situations related to the internet connection network(12 score) and power(12 score), not following the instructions of the u-Health measurement device(12 score), and assessments of older people by telephone(12 score). Conclusion: We understood where and when risk tasks are undertaken during a participants check their bio-signal. FMEA to Tele-nursing services for patient safety enhance and reduce from significant risks. Identified many clinical risk assessment management can be preventable usage in service using aged population.en_GB
dc.subjectTele-nursingen_GB
dc.subjectPatient safetyen_GB
dc.subjectLow-income elderlyen_GB
dc.date.available2014-11-17T13:54:31Z-
dc.date.issued2014-11-17-
dc.date.accessioned2014-11-17T13:54:31Z-
dc.conference.date2014en_GB
dc.conference.name25th International Nursing Research Congressen_GB
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen_GB
dc.conference.locationHong Kongen_GB
dc.descriptionInternational Nursing Research Congress, 2014 Theme: Engaging Colleagues: Improving Global Health Outcomes. Held at the Hong Kong Convention and Exhibition Centre, Wanchai, Hong Kongen_GB
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item related to this abstract, you may find it by browsing the repository by author. If author contact information is availabe in this abstract, please feel free to contact him or her with your queries regarding this submission.en_GB
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