Evidence map›Paper›PMID 36908496›Full record

ArticleJournal of medical physics

Quality Improvement Process with Incident Learning Program Helped Reducing Transcriptional Errors on Telecobalt Due to Mismatched Parameters in Different Generations.

Rahul Krishnatry, Carlton Johnny, Tahseena Tahmeed, Libin Scaria, Vivek Sutar, Chandrashekhar Tambe, Ritu Raj Upreti, Rajesh Ashok Kinhikar, Jai Prakash Agarwal

Abstract read
In one paragraph

Article in Journal of medical physics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Rahul KrishnatryDepartment of Radiation Oncology and Medical Physics, Tata Memorial Center, Mumbai, Maharashtra, India.
Carlton JohnnyDepartment of Radiation Oncology and Medical Physics, Tata Memorial Center, Mumbai, Maharashtra, India.
Tahseena TahmeedDepartment of Radiation Oncology and Medical Physics, Tata Memorial Center, Mumbai, Maharashtra, India.
Libin ScariaDepartment of Radiation Oncology and Medical Physics, Tata Memorial Center, Mumbai, Maharashtra, India.
Vivek SutarDepartment of Radiation Oncology and Medical Physics, Tata Memorial Center, Mumbai, Maharashtra, India.
Chandrashekhar TambeDepartment of Radiation Oncology and Medical Physics, Tata Memorial Center, Mumbai, Maharashtra, India.
Ritu Raj UpretiDepartment of Radiation Oncology and Medical Physics, Tata Memorial Center, Mumbai, Maharashtra, India.
Rajesh Ashok KinhikarDepartment of Radiation Oncology and Medical Physics, Tata Memorial Center, Mumbai, Maharashtra, India.
Jai Prakash AgarwalDepartment of Radiation Oncology and Medical Physics, Tata Memorial Center, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Higher frequency of transcriptional errors in the radiotherapy electronic charts for patients on telecobalt was noted. We describe the impact of the quality improvement (QI) initiative under the department's incident learning program (ILP). Materials and Methods: The multidisciplinary quality team under ILP was formed to identify the root cause and introduce methods to reduce (smart goal) the current transcription error rate of 40% to <5% over 12 months. A root cause analysis including a fishbone diagram, Pareto chart, and action prioritization matrix was done to identify key drivers and interventions. Plan-Do-Study-Act (PDSA) Cycle strategy was undertaken. The primary outcome was percentage charts with transcriptional errors per month. The balancing measure was "new errors" due to interventions. All errors were identified and corrected before patient treatment. Results: The average baseline error rate was 44.14%. The two key drivers identified were education of the workforce involved and mechanical synchronization of various machine parameters. PDSA cycle 1 consisted of an education program and sensitization of the staff, post which the error rates dropped to 5.4% ( Conclusions: With various generations of machines and technologies that are not synchronized, the proneness of transcription errors can be very high which can be identified and corrected with a typical QI process under ILP.

Indexed as

Incident learning programquality improvementtelecobalt

Identifiers

PMID36908496
PMCPMC9997530

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