TY  - CHAP
M1  - Book, Section
TI  - Clinical Decision Support
A1  - Cucina, Russ
A2  - Papadakis, Maxine A.
A2  - McPhee, Stephen J.
A2  - Rabow, Michael W.
A2  - McQuaid, Kenneth R.
PY  - 2022
T2  - Current Medical Diagnosis & Treatment 2022
AB  - In  contrast  to  clinical  reference  material,  such  as  continuously  updated  online  journals  and  medical  texts,  computerized  clinical  decision  support  directly  assists  the  clinician  in  making  decisions  about  a  specific  patient.  Decision  support  does  not  need  to  be  sophisticated  to  have  significant  impact.  For  example,  simple  dose-range  checking  for  medications,  drug-drug  interaction  checking,  and  drug-allergy  checking  are  conceptually  straightforward  but  can  catch  a  critical  source  of  human  error  that  no  amount  of  training  or  personal  vigilance  can  entirely  eliminate.  Slightly  more  advanced  are  systems  that  analyze  clinical  data  (such  as  calculating  a  creatinine  clearance)  and  present  guidance  based  on  those  data.  More  sophisticated  systems  look  for  trends  in  values,  such  as  the  rate  of  fall  of  the  hematocrit  or  the  rising  body  weight  of  an  intensive  care  unit  (ICU)  patient  who  is  accumulating  extracellular  fluid,  where  an  absolute  number  may  not  be  notable,  but  an  alert  to  the  trend  may  be  important  and  prompt  action.  
SN  - 
PB  - McGraw-Hill Education
CY  - New York, NY
Y2  - 2024/04/19
UR  - accessmedicine.mhmedical.com/content.aspx?aid=1184154583
ER  -