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18 | VALUE OF DIAGNOSTICS THROUGHOUT THE PATIENT PATHWAY | 2021
collect evidence and understand the cost benefits of these operations . It is essential that hospital administrators , clinicians , and laboratory personnel collaborate and recognise the valuable role each of them plays in the organisation .
The communications and interactions established between the laboratory and the clinic may thus affect the delivery of test results in a timely manner and , ultimately , impact patient care . ASPs in hospitals can act as a bridge between the laboratory and the clinic and are efficient frameworks to overcome some of these obstacles through educational initiatives , evaluation of work tasks , and expansion of point-of-care test services to further improve laboratory services . 19
Conclusion Modern developments in healthcare technology , including rapid diagnostic testing and CDSS , have been shown to have a significant and positive impact on patient care . Nevertheless , rapid pathogen identification , antimicrobial susceptibility testing , and communication to the treating physician do not replace a thorough clinical examination and should be seen as complementary , and important , attributes of clinical care , and not simply a replacement . Diagnostic stewardship programmes , which represent a coordinated user-based intervention , should be used to promote an evidence-based utilisation of diagnostic tests with the ultimate aim of improving the quality of patient care . With clinicians facing increasingly complex medical problems and an ever-expanding range of diagnostic tests , it is essential that the laboratory and clinical staff work collaboratively to improve outcomes for patients .
References 1 Hickner J et al . Primary care physicians ’ challenges in ordering clinical laboratory tests and interpreting results . J Am Board Fam Med 2014 ; 27 ( 2 ): 268 – 74 . 2 Vrijsen BEL et al . Inappropriate laboratory testing in internal medicine inpatients : Prevalence , causes and interventions . Ann Med Surg 2020 ; 51 : 48 – 53 . 3 Bonine NG et al . Impact of Delayed Appropriate Antibiotic Therapy on Patient Outcomes by Antibiotic Resistance Status From Serious Gram-negative Bacterial Infections . Am J Med Sci 2019 ; 357 ( 2 ): 103 – 110 . 4 Wagner B et al . Antimicrobial stewardship programs in inpatient hospital settings : a systematic review . Infect Control Hosp Epidemiol 2014 ; 35 ( 10 ): 1209 – 28 . 5 Baur D et al . Effect of antibiotic stewardship on the incidence of infection and colonisation with antibiotic-resistant bacteria and Clostridium difficile infection : a systematic review and metaanalysis . Lancet Infect Dis 2017 ; 17 ( 9 ): 990 – 1001 . 6 Nathwani D et al . Value of hospital antimicrobial stewardship programs [ ASPs ]: a systematic review . Antimicrob Resist Infect Control 2019 ; 8:35 7 Mendelson M et al . How to start an antimicrobial stewardship programme in a hospital . Clin Microbiol Infect 2020 ; 26 ( 4 ): 447 – 53 . 8 WHO . Diagnostic Stewardship . A guide to implementation in antimicrobial resistance surveillance sites . 2016 . https :// apps . who . int / iris / bitstream / handle / 10665 / 251553 / WHO-DGO-AMR-2016.3- eng . pdf ? sequence = 1 ( accessed May 2021 ). 9 Messacar K et al . Implementation of rapid molecular infectious disease diagnostics : the role of diagnostic and antimicrobial stewardship . J Clin Microbiol 2017 ; 55 ( 3 ): 715 – 23 . 10 Vos LM et al . Rapid molecular tests for influenza , respiratory syncytial virus , and other respiratory viruses :
A systematic review of diagnostic accuracy and clinical impact studies . Clin Infect Dis 2019 ; 69 ( 7 ): 1243 – 53 . 11 Jenkins HJ et al . Effectiveness of interventions designed to reduce the use of imaging for low-back pain : A systematic review . CMAJ 2015 ; 187 ( 6 ): 401 – 8 . 12 Salem HA et al . A multicentre integration of a computer-led followup of prostate cancer is valid and safe . BJU Int 2018 ; 122 ( 3 ): 418 – 26 . 13 Laka M et al . Can evidence-based decision support tools transform antibiotic management ? A systematic review and meta-analyses . J Antimicrob Chemother 2020 ; 75 ( 5 ): 1099 – 11 . 14 Nault V et al . Sustained impact of a computerassisted antimicrobial stewardship intervention on antimicrobial use and length of stay . J Antimicrob Chemother 2017 ; 72 ( 3 ): 933 – 40 . 15 Keltch B , Lin Y , Bayrak C . Comparison of AI techniques for prediction of liver fibrosis in hepatitis patients patient facing systems . J Med Syst 2014 ; 38 ( 8 ). 16 Tsolaki E et al . Fast spectroscopic multiple analysis ( FASMA ) for brain tumor classification : a clinical decision support system utilizing multiparametric 3T MR data . Int J Comput Assist Radiol Surg 2015 ; 10 ( 7 ): 1149 – 66 . 17 Peiffer-Smajda N et al . Machine learning for clinical decision support in infectious diseases : a narrative review of current applications . Clin Microbiol Infect 2020 ; 26 ( 5 ): 584 – 95 . 18 Skodvin B et al . Addressing the key communication barriers between microbiology laboratories and clinical units : a qualitative study . J Antimicrob Chemother 2017 ; 72 ( 9 ): 2666 – 72 . 19 Read RC et al . Professional challenges and opportunities in clinical microbiology and infectious diseases in Europe . Lancet Infect Dis 2011 ; 11:408 – 15 .