The nurse supporting robot system to prepare and hand surgical instruments to a surgeon is proposed to reduce work of nurse in a surgical operation. In this paper, the surgical instrument recognition system (SIRS) is developed to hand the surgical instruments to a surgeon by the robot. The characteristics ot the instruments are area of the instruments, ratio of minimum center-contour distance to maximum one and its outline contour, are recognized by using the image processing. Kinds of the instruments are distinguished by these characteristics

Iwamoto, Hidehisa

Osaki, Hirokazu

Kajihara, Yasuhiro

Munesawa, Yoshiomi

Hashimoto, Atsufumi

Seki, Shuji

PubMed

Okayama University Scientific Achievement Repository

A Study on Robot System to Hand Surgical Intrument to a Surgeon in a Surgery (1st Report, Development of Surgical Instrument Recognition System)

Amy Backhouse

Chris Dickens

David Richards

Rose McCabe

Springer - Publisher Connector

Key components in models of community-based interventions coordinating care in dementia: a mixed studies systematic review protocol

Crossref

Systematic Reviews

Open access journalBACKGROUND: Current health and social care systems are providing suboptimal and fragmented care to the growing dementia population. Interventions aiming to coordinate care services for individuals with dementia and their families are already widely used; however, the structure and implementation of these interventions vary. This mixed studies review aims to investigate the key components of effective community-based interventions that focus on coordinating care in dementia. METHODS: We will search MEDLINE, Cochrane Library, Embase and PsycINFO databases for studies of any design that look at community-based interventions that aim to coordinate dementia care through the allocation of a specified professional responsible for provision of care. Health Management Information Consortium (HMIC), Social Policy and Practice (SPP), ProQuest and International Clinical Trials Registry Platform (ICTRP) databases will be searched for grey literature. Outcomes of interest are health outcome measures that relate to the individual with dementia and/or informal caregiver, measures of resource use or process measures. Two independent reviewers will screen identified papers and extract data from eligible studies. Evidence synthesis will take place in three stages, and methods will be largely dependent on the data available. A sequential review design will be used where the qualitative evidence will be synthesised first, focusing on stakeholder's subjective views of key components. This will drive forward the quantitative stage which will identify key components of effective interventions. The final stage of the review will merge the two strands of evidence through a narrative synthesis. DISCUSSION: The results from this review will be used to develop a model for a community-based intervention coordinating care in dementia. Furthermore, the findings will help guide future work on intervention development of health and social care services for dementia.National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care South West Peninsul

Backhouse, Amy

Dickens, Chris

Richards, David

McCabe, Rose

Open Research Exeter

Okayama University Digital Information Repository

PRISMA-P 2015 Checklist. Items that have been reported in the protocol from the required PRISMA-P checklist. (DOC 17 kb

Amy Backhouse (3466751)

Chris Dickens (11503)

David Richards (52504)

Rose McCabe (117370)

The Francis Crick Institute

Additional file 1: of Key components in models of community-based interventions coordinating care in dementia: a mixed studies systematic review protocol

Background

Current health and social care systems are providing suboptimal and fragmented care to the growing dementia population. Interventions aiming to coordinate care services for individuals with dementia and their families are already widely used; however, the structure and implementation of these interventions vary. This mixed studies review aims to investigate the key components of effective community-based interventions that focus on coordinating care in dementia.



Methods

We will search MEDLINE, Cochrane Library, Embase and PsycINFO databases for studies of any design that look at community-based interventions that aim to coordinate dementia care through the allocation of a specified professional responsible for provision of care. Health Management Information Consortium (HMIC), Social Policy and Practice (SPP), ProQuest and International Clinical Trials Registry Platform (ICTRP) databases will be searched for grey literature. Outcomes of interest are health outcome measures that relate to the individual with dementia and/or informal caregiver, measures of resource use or process measures. Two independent reviewers will screen identified papers and extract data from eligible studies. Evidence synthesis will take place in three stages, and methods will be largely dependent on the data available. A sequential review design will be used where the qualitative evidence will be synthesised first, focusing on stakeholder’s subjective views of key components. This will drive forward the quantitative stage which will identify key components of effective interventions. The final stage of the review will merge the two strands of evidence through a narrative synthesis.



Discussion

The results from this review will be used to develop a model for a community-based intervention coordinating care in dementia. Furthermore, the findings will help guide future work on intervention development of health and social care services for dementia

Backhouse, A.

Dickens, C.

Richards, D.

McCabe, R.

City Research Online

English

https://figshare.com/articles/Additional_file_1_of_Key_components_in_models_of_community-based_interventions_coordinating_care_in_dementia_a_mixed_studies_systematic_review_protocol/4385618

A Study on Robot System to Hand Surgical Intrument to a Surgeon in a Surgery (1st Report, Development of Surgical Instrument Recognition System)

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