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Straight to the point: evaluation of a Point of Care Information (POCI) resource in answering disease-related questions.
Wasserman, Rachel L; Seger, Diane L; Amato, Mary G; Co, Zoe; Mugal, Aqsa; Rui, Angela; Garabedian, Pamela M; Marceau, Marlika; Syrowatka, Ania; Volk, Lynn A; Bates, David W.
Afiliação
  • Wasserman RL; rwasserman@bwh.haravrd.edu, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA and Massachusetts College of Pharmacy and Health Sciences (MCPHS), Boston, MA.
  • Seger DL; dseger@mgb.org, Clinical and Quality Analysis, Mass General Brigham, Somerville, MA.
  • Amato MG; mamato1@bwh.harvard.edu, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA.
  • Co Z; zco@bwh.harvard.edu, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA.
  • Mugal A; amugal@mgb.org, Clinical and Quality Analysis, Mass General Brigham, Somerville, MA.
  • Rui A; arui@mgb.org, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA.
  • Garabedian PM; pmgarabedian@partners.org, Clinical and Quality Analysis, Mass General Brigham, Somerville, MA.
  • Marceau M; mmarceau@mgb.org, Clinical and Quality Analysis, Mass General Brigham, Somerville, MA.
  • Syrowatka A; asyrowatka@bwh.harvard.edu, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA and Harvard Medical School, Boston, MA.
  • Volk LA; lavolk@partners.org, Clinical and Quality Analysis, Mass General Brigham, Somerville, MA.
  • Bates DW; dbates@bwh.harvard.edu, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, Clinical and Quality Analysis, Mass General Brigham, Somerville, MA and Harvard Medical School, Boston, MA.
J Med Libr Assoc ; 112(1): 13-21, 2024 Jan 16.
Article em En | MEDLINE | ID: mdl-38911524
ABSTRACT

Objective:

To evaluate the ability of DynaMedex, an evidence-based drug and disease Point of Care Information (POCI) resource, in answering clinical queries using keyword searches.

Methods:

Real-world disease-related questions compiled from clinicians at an academic medical center, DynaMedex search query data, and medical board review resources were categorized into five clinical categories (complications & prognosis, diagnosis & clinical presentation, epidemiology, prevention & screening/monitoring, and treatment) and six specialties (cardiology, endocrinology, hematology-oncology, infectious disease, internal medicine, and neurology). A total of 265 disease-related questions were evaluated by pharmacist reviewers based on if an answer was found (yes, no), whether the answer was relevant (yes, no), difficulty in finding the answer (easy, not easy), cited best evidence available (yes, no), clinical practice guidelines included (yes, no), and level of detail provided (detailed, limited details).

Results:

An answer was found for 259/265 questions (98%). Both reviewers found an answer for 241 questions (91%), neither found the answer for 6 questions (2%), and only one reviewer found an answer for 18 questions (7%). Both reviewers found a relevant answer 97% of the time when an answer was found. Of all relevant answers found, 68% were easy to find, 97% cited best quality of evidence available, 72% included clinical guidelines, and 95% were detailed. Recommendations for areas of resource improvement were identified.

Conclusions:

The resource enabled reviewers to answer most questions easily with the best quality of evidence available, providing detailed answers and clinical guidelines, with a high level of replication of results across users.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas Automatizados de Assistência Junto ao Leito Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas Automatizados de Assistência Junto ao Leito Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article