The effect of online point-of-care testing on patient waiting times in A&E

2014 ◽  
Vol 20 (4) ◽  
pp. 158-164 ◽  
Author(s):  
Richard Fink ◽  
Ashfaq Gilkar ◽  
Phillip Eardley ◽  
Catriona Barron
Author(s):  
Yvonne Jolanda Melanie Licher ◽  
Jan Simon Visser ◽  
G-Young Van ◽  
Jan Carel Diehl

AbstractIn low- and middle-income countries (LMIC), diagnostics are not always available in remote areas. Hospitals and healthcare centres are often too far from the community, and waiting times are up to a few hours even for relatively simple procedures. Moreover, travelling to the healthcare centre and taking the diagnostic test is frequently unaffordable. Point of Care Tests (POCTs) can improve the availability, accessibility and affordability of the diagnostics by providing the test at the time and place of patient care. Although many POCTs have been developed already, there remain challenges to enable the healthcare workers (HCW) and the patients to use the device in practice. In this paper, we aim to provide a systemic overview of the barriers and opportunities for the adoption of use and acceptance of the results of POCTs based on the literature. The barriers and opportunities were clustered into six themes and used to draw out recommendations for the future design.


1999 ◽  
Vol 21 (3) ◽  
pp. 201-206 ◽  
Author(s):  
M. J. Galloway ◽  
R. S. Woods ◽  
S. L. Nicholson ◽  
J. J. Foggin ◽  
L. Elliott

2000 ◽  
Vol 46 (4) ◽  
pp. 543-550 ◽  
Author(s):  
James H Nichols ◽  
Thomas S Kickler ◽  
Karen L Dyer ◽  
Sandra K Humbertson ◽  
Peg C Cooper ◽  
...  

Abstract Background: Point-of-care testing (POCT) can provide rapid test results, but its impact on patient care is not well documented. We investigated the ability of POCT to decrease inpatient and outpatient waiting times for cardiovascular procedures. Methods: We prospectively studied, over a 7-month period, 216 patients requiring diagnostic laboratory testing for coagulation (prothrombin time/activated partial thromboplastin time) and/or renal function (urea nitrogen, creatinine, sodium, and potassium) before elective invasive cardiac and radiologic procedures. Overall patient management and workflow were examined in the initial phase. In phase 2, we implemented POCT but utilized central laboratory results for patient management. In phase 3, therapeutic decisions were based on POCT results. The final phase, phase 4, sought to optimize workflow around the availability of POCT. Patient wait and timing of phlebotomy, availability of laboratory results, and therapeutic action were monitored. Split sampling allowed comparability of POCT and central laboratory results throughout the study. Results: In phase 1, 44% of central laboratory results were not available before the scheduled time for procedure (n = 135). Mean waiting times (arrival to procedure) were 188 ± 54 min for patients who needed renal testing (phase 2; n = 14) and 171 ± 76 min for those needing coagulation testing (n = 24). For patients needing renal testing, POCT decreased patient wait times (phases 3 and 4 combined, 141 ± 52 min; n = 18; P = 0.02). For patients needing coagulation testing, wait times improved only when systematic changes were made in workflow (phase 4, 109 ± 41 min; n = 12; P = 0.01). Conclusions: Although POCT has the potential to provide beneficial patient outcomes, merely moving testing from a central laboratory to the medical unit does not guarantee improved outcomes. Systematic changes in patient management may be required.


2020 ◽  
Vol 27 ◽  
Author(s):  
Yi Zhang

: Point-of-care (POC) testing decentralizes the diagnostic tests to the sites near the patient. Many POC tests rely microfluidic platforms for sample-to-answer analysis. Compared to other microfluidic systems, magnetic digital microfluidics demonstrate compelling advantages for POC diagnostics. In this review, we have examined the capability of magnetic digital microfluidics-based POC diagnostic platforms. More importantly, we have categorized POC settings into three classes based on “where is the point”, “who to care” and “how to test”, and evaluated the suitability of magnetic digital microfluidics in various POC settings. Furthermore, we have addressed other technical issues associated with POC testing such as controlled environment, sample-system interface, system integration and information connectivity. We hope this review would provide a guideline for the future development of magnetic digital microfluidics-based platforms for POC testing.


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