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Improving the quality of clinical coding and payments through student doctor–coder collaboration in a tertiary haematology department

Hospitals within the UK are paid for services provided by ‘Payment-by-Results’. In a system that rewards productivity, effective collaboration between coders and clinicians is crucial. However, clinical coding is frequently error prone and has been shown to impact negatively on departmental revenue....

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Autores principales: Abdulla, Suha, Simon, Natalie, Woodhams, Kelvin, Hayman, Carla, Oumar, Mohamed, Howroyd, Lucy Rose, Sethi, Gulshan Cindy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7103790/
https://www.ncbi.nlm.nih.gov/pubmed/32198235
http://dx.doi.org/10.1136/bmjoq-2019-000723
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author Abdulla, Suha
Simon, Natalie
Woodhams, Kelvin
Hayman, Carla
Oumar, Mohamed
Howroyd, Lucy Rose
Sethi, Gulshan Cindy
author_facet Abdulla, Suha
Simon, Natalie
Woodhams, Kelvin
Hayman, Carla
Oumar, Mohamed
Howroyd, Lucy Rose
Sethi, Gulshan Cindy
author_sort Abdulla, Suha
collection PubMed
description Hospitals within the UK are paid for services provided by ‘Payment-by-Results’. In a system that rewards productivity, effective collaboration between coders and clinicians is crucial. However, clinical coding is frequently error prone and has been shown to impact negatively on departmental revenue. Our aim was to increase the median number of diagnostic codes per sickle cell inpatient admission at Guy’s Hospital by 3. Three interventions were implemented using the Plan, Do, Study, Act structure. This consisted of student doctors searching for diagnoses along with comorbidities that clinical coders had missed, distributing laminated cards with common clinical codes and implementing discharge pro formas. Through auditing, student doctors generated a total of £58 813 over 16 weeks. We observed an increase in the median number of codes by ≥2 additional codes. We improved coding accuracy where we identified errors in an average of 32.5% of admissions each month, improving the quality of patient documentation. We have demonstrated student doctor involvement in clinical coding as a potentially sustainable means of achieving accurate payment for services provided; increasing departmental revenue. We are the first to report the efficacy of student–coder collaboration in improving the accuracy of clinical coding.
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spelling pubmed-71037902020-03-31 Improving the quality of clinical coding and payments through student doctor–coder collaboration in a tertiary haematology department Abdulla, Suha Simon, Natalie Woodhams, Kelvin Hayman, Carla Oumar, Mohamed Howroyd, Lucy Rose Sethi, Gulshan Cindy BMJ Open Qual Quality Improvement Programme Hospitals within the UK are paid for services provided by ‘Payment-by-Results’. In a system that rewards productivity, effective collaboration between coders and clinicians is crucial. However, clinical coding is frequently error prone and has been shown to impact negatively on departmental revenue. Our aim was to increase the median number of diagnostic codes per sickle cell inpatient admission at Guy’s Hospital by 3. Three interventions were implemented using the Plan, Do, Study, Act structure. This consisted of student doctors searching for diagnoses along with comorbidities that clinical coders had missed, distributing laminated cards with common clinical codes and implementing discharge pro formas. Through auditing, student doctors generated a total of £58 813 over 16 weeks. We observed an increase in the median number of codes by ≥2 additional codes. We improved coding accuracy where we identified errors in an average of 32.5% of admissions each month, improving the quality of patient documentation. We have demonstrated student doctor involvement in clinical coding as a potentially sustainable means of achieving accurate payment for services provided; increasing departmental revenue. We are the first to report the efficacy of student–coder collaboration in improving the accuracy of clinical coding. BMJ Publishing Group 2020-03-19 /pmc/articles/PMC7103790/ /pubmed/32198235 http://dx.doi.org/10.1136/bmjoq-2019-000723 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Quality Improvement Programme
Abdulla, Suha
Simon, Natalie
Woodhams, Kelvin
Hayman, Carla
Oumar, Mohamed
Howroyd, Lucy Rose
Sethi, Gulshan Cindy
Improving the quality of clinical coding and payments through student doctor–coder collaboration in a tertiary haematology department
title Improving the quality of clinical coding and payments through student doctor–coder collaboration in a tertiary haematology department
title_full Improving the quality of clinical coding and payments through student doctor–coder collaboration in a tertiary haematology department
title_fullStr Improving the quality of clinical coding and payments through student doctor–coder collaboration in a tertiary haematology department
title_full_unstemmed Improving the quality of clinical coding and payments through student doctor–coder collaboration in a tertiary haematology department
title_short Improving the quality of clinical coding and payments through student doctor–coder collaboration in a tertiary haematology department
title_sort improving the quality of clinical coding and payments through student doctor–coder collaboration in a tertiary haematology department
topic Quality Improvement Programme
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7103790/
https://www.ncbi.nlm.nih.gov/pubmed/32198235
http://dx.doi.org/10.1136/bmjoq-2019-000723
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