Your browser doesn't support javascript.
loading
Improving the conduct of systematic reviews: a process mining perspective.
Pham, Ba'; Bagheri, Ebrahim; Rios, Patricia; Pourmasoumi, Asef; Robson, Reid C; Hwee, Jeremiah; Isaranuwatchai, Wanrudee; Darvesh, Nazia; Page, Matthew J; Tricco, Andrea C.
Afiliação
  • Pham B; Li Ka Shing Knowledge Institute of St Michael's Hospital, 209 Victoria Street, East Building, Room 716, Toronto, Ontario M5B 1W8, Canada.
  • Bagheri E; Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada.
  • Rios P; Li Ka Shing Knowledge Institute of St Michael's Hospital, 209 Victoria Street, East Building, Room 716, Toronto, Ontario M5B 1W8, Canada.
  • Pourmasoumi A; Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada.
  • Robson RC; Li Ka Shing Knowledge Institute of St Michael's Hospital, 209 Victoria Street, East Building, Room 716, Toronto, Ontario M5B 1W8, Canada.
  • Hwee J; Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, 155 College Street, 6th floor, Toronto, Ontario M5T 3M7, Canada.
  • Isaranuwatchai W; Li Ka Shing Knowledge Institute of St Michael's Hospital, 209 Victoria Street, East Building, Room 716, Toronto, Ontario M5B 1W8, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, 155 College Street, Toronto, ON M5T 3M6, Canada.
  • Darvesh N; Li Ka Shing Knowledge Institute of St Michael's Hospital, 209 Victoria Street, East Building, Room 716, Toronto, Ontario M5B 1W8, Canada.
  • Page MJ; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria 3004, Australia.
  • Tricco AC; Li Ka Shing Knowledge Institute of St Michael's Hospital, 209 Victoria Street, East Building, Room 716, Toronto, Ontario M5B 1W8, Canada; Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, 155 College Street, 6th floor, Toronto, Ontario M5T 3M7, Canada. Electronic addr
J Clin Epidemiol ; 103: 101-111, 2018 11.
Article em En | MEDLINE | ID: mdl-30297037
ABSTRACT

OBJECTIVES:

To illustrate the use of process mining concepts, techniques, and tools to improve the systematic review process. STUDY DESIGN AND

SETTING:

We simulated review activities and step-specific methods in the process for systematic reviews conducted by one research team over 1 year to generate an event log of activities, with start/end dates, reviewer assignment by expertise, and person-hours worked. Process mining techniques were applied to the event log to "discover" process models, which allowed visual display, animation, or replay of the simulated review activities. Summary statistics were calculated for person-time and timelines. We also analyzed the social networks of team interactions.

RESULTS:

The 12 simulated reviews included an average of 3,831 titles/abstracts (range 1,565-6,368) and 20 studies (6-42). The average review completion time was 463 days (range 289-629) (881 person-hours [range 243-1,752]). The average person-hours per activity were study selection 26%, data collection 24%, report preparation 23%, and meta-analysis 17%. Social network analyses showed the organizational interaction of team members, including how they worked together to complete review tasks and to hand over tasks upon completion.

CONCLUSION:

Event log and process mining can be valuable tools for research teams interested in improving and modernizing the systematic review process.
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Mineração de Dados / Revisões Sistemáticas como Assunto Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Mineração de Dados / Revisões Sistemáticas como Assunto Idioma: En Ano de publicação: 2018 Tipo de documento: Article