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Готові списки джерел за темами / Point-of-care devices / Статті в журналах

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Point-of-care devices.

Статті в журналах з теми "Point-of-care devices"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 19 червня 2025

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1

Zubik, A. N., G. E. Rudnitskaya, A. A. Evstrapov, and T. A. Lukashenko. "POINT-OF-CARE (POC) DEVICES: CLASSIFICATION AND BASIC REQUIREMENTS." NAUCHNOE PRIBOROSTROENIE 32, no. 3 (2022): 3–29. http://dx.doi.org/10.18358/np-32-3-i329.

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Анотація:

The review presents the classification of point-of-care (POC) devices, and discusses the main characteristics of the devices and the requirements for them. The differences between the POC testing method and the laboratory method of analysis are considered. Examples of devices that fit the definition of POC for diagnosing infectious diseases are given.

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2

Zhang, Wei, Siyuan Guo, Wildemar Stefânio Pereira Carvalho, Yaxin Jiang, and Michael J. Serpe. "Portable point-of-care diagnostic devices." Analytical Methods 8, no. 44 (2016): 7847–67. http://dx.doi.org/10.1039/c6ay02158a.

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This review highlights key development of point-of-care diagnostics for detecting DNA, proteins, bacteria/pathogens, and other species in samples that can be used for diagnosing disease and detecting harmful chemical and biochemical contaminants in samples. These technologies have great promise for improving the quality of life for those in the developing world.

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3

Choi, Seokheun. "Powering point-of-care diagnostic devices." Biotechnology Advances 34, no. 3 (2016): 321–30. http://dx.doi.org/10.1016/j.biotechadv.2015.11.004.

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4

Karlsson, Ove. "Experience of Point-of-Care Devices in Obstetrical Care." Seminars in Thrombosis and Hemostasis 43, no. 04 (2017): 397–406. http://dx.doi.org/10.1055/s-0037-1599158.

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AbstractDuring pregnancy and puerperium, there are pronounced hemostatic changes characterized by increased coagulability and decreased fibrinolysis. In addition, hemostasis can change dramatically during obstetric complications. Several reports have described substandard management of hemostatic defects in this setting and state the need for guidelines and better care. Point-of-care devices can assess hemostatic status and are especially suitable in perioperative settings. Using point-of-care devices, no time is required for transportation, allowing faster availability of results and providing potential for better care of the patient. This article will demonstrate the use of a viscoelastic method in six different patients; five with impaired hemostasis, and where the use of viscoelastic method contributes or should have contributed to better care. The cases represent patients with normal delivery; postpartum hemorrhage (PPH); PPH with low fibrinogen; placental abruption; preeclampsia with hemolysis, elevated liver enzymes, low platelet count syndrome; and finally, one patient with sepsis. This article also shows the need for good practices and good supervision to implement the devices in patient care.

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5

Brimelow, Rachel E., Annie Gibney, Suzanne Meakin, and Judy A. Wollin. "Accessing care summaries at point-of-care: Implementation of mobile devices for personal carers in aged care." Health Informatics Journal 25, no. 1 (2017): 126–38. http://dx.doi.org/10.1177/1460458217704251.

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Continued development of mobile technology now allows access to information at the point-of-care. This study was conducted to evaluate the use of one such tool on a mobile device, from the carer perspective. Caregivers across 12 aged-care facilities were supplied mobile devices to access a Picture Care Plan (PCP), a specific tool designed around the role of the personal carer. An anonymous questionnaire was subsequently completed by 85 carers with questions relating to participants’ experience. Perceived helpfulness of the PCP at the point-of-care was high (87%). A significant number of participants believed the use of the PCP increased resident safety and quality of care (76%). Practical components related to the carrying of the device, network speed and the requirement to maintain communication with senior members of staff to ascertain updates were also expressed by participants. Findings suggest that staff are receptive to adoption of mobile devices to access care directives at the point-of-care and that the technology is useful.

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6

Kaushik, Ajeet, and Mubarak Mujawar. "Point of Care Sensing Devices: Better Care for Everyone." Sensors 18, no. 12 (2018): 4303. http://dx.doi.org/10.3390/s18124303.

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7

Goble, Joseph A., and Patrick T. Rocafort. "Point-of-Care Testing." Journal of Pharmacy Practice 30, no. 2 (2016): 229–37. http://dx.doi.org/10.1177/0897190015587696.

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This article provides an overview of the current use of point-of-care testing (POCT) and its utility for patients’ self-management of chronic disease states. Pharmacists utilize POCT to provide rapid laboratory diagnostic results as a monitoring tool in the management of their patients and in order to improve medication outcomes. Considerations for the transition to use of POCT in the home to further improve disease management and improve health care cost-effectiveness are discussed. Devices available for home use include those suitable for management of diabetes mellitus, hypertension, congestive heart failure, and anticoagulation. Many of these devices include software capabilities enabling patients to share important health information with health care providers using a computer. Limitations and challenges surrounding implementation of home POCT for patients include reliability of instrumentation, ability to coordinate data collection, necessary training requirements, and cost-effectiveness. Looking forward, the successful integration of POCT into the homes of patients is contingent on a concerted effort made by all members of the health care team.

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8

Canavan, N., H. Q. Sinclair, and M. Scott. "Growing Concern over Point-of-Care Devices." MD Conference Express 10, no. 6 (2010): 30–32. http://dx.doi.org/10.1177/155989771006013.

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9

&NA;, &NA;. "New Point-of-Care Devices Communication Standards." Journal of Clinical Engineering 29, no. 4 (2004): 190–91. http://dx.doi.org/10.1097/00004669-200410000-00038.

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10

Rudnitskaya, G. E., T. A. Lukashenko, and A. A. Evstrapov. "POINT-OF-CARE (POC) DEVICES – A NEW TREND IN BIOMEDICAL DEVICE." http://eng.biomos.ru/conference/articles.htm 1, no. 19 (2021): 187–89. http://dx.doi.org/10.37747/2312-640x-2021-19-187-189.

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11

Bastianelli, Karen, Stacey Ledin, and Jennifer Chen. "Comparing the Accuracy of 2 Point-of-Care Lipid Testing Devices." Journal of Pharmacy Practice 30, no. 5 (2016): 490–97. http://dx.doi.org/10.1177/0897190016651546.

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Background: Device manufacturers have improved technology since studies were last published, thus warranting an updated analysis. Objective: Two point-of-care (POC) cholesterol testing devices were directly compared to a venous sample to determine device accuracy. Methods: Institutional review board (IRB)–approved study collected finger-stick blood samples analyzed by Cholestech LDX (Cholestech Corporation, Hayward, California) and CardioChek Plus (Polymer Technology Systems Inc, Indianapolis, Indiana) devices and compared to venous blood for 30 study participants. Statistical analyses were completed using StatisPro. Intraclass correlation coefficients were generated, and the average difference expected to be within the industry standards of total cholesterol (TC; ±10%), high-density lipoprotein (HDL) cholesterol (±12%), and triglycerides (TG; ±15%). Results: The POC devices produced clinically equivalent values when compared to the same patients’ samples analyzed in a reference laboratory. The average difference calculated from the actual individual paired percentage bias with the Integra analyzer: venous—TC −3.8%, HDL −6.9%, TG −1.8%; CardioChek—TC −7.8%, HDL −6.2%, TG 5.1%; and Cholestech—TC 0.5%, HDL −4.5%, TG −3.3%. The average of the actual paired percentage bias with the Roche Cobas analyzer: CardioChek—TC −4.2%, HDL 0.8%, TG 7.0% and Cholestech—TC 4.6%, HDL 2.6%, TG −1.6%. Conclusion: Both screening devices operated within industry accuracy standards.

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12

Chin, Curtis D., Vincent Linder, and Samuel K. Sia. "Commercialization of microfluidic point-of-care diagnostic devices." Lab on a Chip 12, no. 12 (2012): 2118. http://dx.doi.org/10.1039/c2lc21204h.

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13

Wessels, Lars, Andreas Unterberg, and Christopher Beynon. "Point-of-Care Testing in Neurosurgery." Seminars in Thrombosis and Hemostasis 43, no. 04 (2017): 416–22. http://dx.doi.org/10.1055/s-0037-1599159.

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AbstractCoagulation disorders can have a major impact on the outcome of neurosurgical patients. The central nervous system is located within the closed space of the skull, and therefore, intracranial hemorrhage can lead to intracranial hypertension. Acute brain injury has been associated with alterations of various hemostatic parameters. Point-of-care (POC) techniques such as rotational thromboelastometry are able to identify markers of coagulopathy which are not reflected by standard assessment of hemostasis (e.g., hyperfibrinolysis). In patients with acute brain injury, POC test results have been associated with important outcome parameters such as mortality and need for neurosurgical intervention. POC devices have also been used to rapidly identify and quantify the effects of antithrombotic medication. In cases of life-threatening intracranial hemorrhage, this information can be valuable when deciding over administration of prohemostatic substances or immediate neurosurgical intervention. In elective neurosurgical procedures, POC devices can provide important information when unexpected bleeding occurs or in cases of prolonged operative time with subsequent blood loss. Initial experiences with POC devices in neurosurgical care have shown promising results but further studies are needed to characterize their full potential and limitations.

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14

Nübling, Micha. "CE-Kennzeichnung von Point-of-Care-Testsystemen / CE marking of point-of-care test devices." LaboratoriumsMedizin 30, no. 4 (2006): 226–29. http://dx.doi.org/10.1515/jlm.2006.029.

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15

Vu, Chi Lan Nguyen, Jianxiong Chan, Marian Todaro, Stan Skafidas, and Patrick Kwan. "Point-of-care molecular diagnostic devices: an overview." Pharmacogenomics 16, no. 12 (2015): 1399–409. http://dx.doi.org/10.2217/pgs.15.92.

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16

Nasseri, Behzad, Neda Soleimani, Navid Rabiee, Alireza Kalbasi, Mahdi Karimi, and Michael R. Hamblin. "Point-of-care microfluidic devices for pathogen detection." Biosensors and Bioelectronics 117 (October 2018): 112–28. http://dx.doi.org/10.1016/j.bios.2018.05.050.

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17

Krouwer, Jan S. "A Widespread Myth About Point-of-Care Devices." Point of Care: The Journal of Near-Patient Testing & Technology 10, no. 4 (2011): 146–47. http://dx.doi.org/10.1097/poc.0b013e318238be18.

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18

Yetisen, Ali Kemal, Muhammad Safwan Akram, and Christopher R. Lowe. "Paper-based microfluidic point-of-care diagnostic devices." Lab on a Chip 13, no. 12 (2013): 2210. http://dx.doi.org/10.1039/c3lc50169h.

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19

Tsutsui, Hideaki, and Peter B. Lillehoj. "Flexible Analytical Devices for Point-of-Care Testing." SLAS TECHNOLOGY: Translating Life Sciences Innovation 25, no. 1 (2020): 6–8. http://dx.doi.org/10.1177/2472630319896762.

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20

Colclough, A., and P. Nihoyannopoulos. "Pocket-sized point-of-care cardiac ultrasound devices." Herz 42, no. 3 (2017): 255–61. http://dx.doi.org/10.1007/s00059-016-4531-4.

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21

Birendra Kumar Julee Choudhary, Sundararajan Ananiah Durai, and Nabihah Ahmad. "Smart Microfluidic Devices for Point-Of-Care Applications." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 114, no. 1 (2024): 119–33. http://dx.doi.org/10.37934/arfmts.114.1.119133.

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Microfluidics is an emerging technology vital in the bio-medical sector, encompassing Lab-On-Chip (LOC), drug delivery, maladies diagnostic, and various healthcare fields. Additionally, its day-by-day research studies on drug discovery, cell sorting, and manipulation enrich bio-medical applications. This article provides an overview of the widely used microfluidic devices that are readily available for the commercial sector, improving medical diagnostics with the optimal transduction approaches for Point-Of-Care (POC) applications. On the other hand, some devices still in the development stage are discussed, along with their challenges in commercialization.

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22

Alseed, M. Munzer, Hamzah Syed, Mehmet Cengiz Onbasli, Ali K. Yetisen, and Savas Tasoglu. "Design and Adoption of Low-Cost Point-of-Care Diagnostic Devices: Syrian Case." Micromachines 12, no. 8 (2021): 882. http://dx.doi.org/10.3390/mi12080882.

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Civil wars produce immense humanitarian crises, causing millions of individuals to seek refuge in other countries. The rate of disease prevalence has inclined among the refugees, increasing the cost of healthcare. Complex medical conditions and high numbers of patients at healthcare centers overwhelm the healthcare system and delay diagnosis and treatment. Point-of-care (PoC) testing can provide efficient solutions to high equipment cost, late diagnosis, and low accessibility of healthcare services. However, the development of PoC devices in developing countries is challenged by several barriers. Such PoC devices may not be adopted due to prejudices about new technologies and the need for special training to use some of these devices. Here, we investigated the concerns of end users regarding PoC devices by surveying healthcare workers and doctors. The tendency to adopt PoC device changes is based on demographic factors such as work sector, education, and technology experience. The most apparent concern about PoC devices was issues regarding low accuracy, according to the surveyed clinicians.

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23

Pappa, Anna Maria. "(Invited) Point-of-Care Biomembrane-Based Electronic Sensors." ECS Meeting Abstracts MA2024-01, no. 33 (2024): 1632. http://dx.doi.org/10.1149/ma2024-01331632mtgabs.

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The development of medical devices that comply with the soft mechanics of biological systems at different length and complexity levels is highly desirable. With the emergence of conducting polymers exciting directions opened up in bioelectronics research, bridging the gap between traditional electronics and biology. With the ultimate goal of fully integrated devices, organic bioelectronic technologies have been heavily explored the past decade resulting in novel materials/device configurations. Multiplexing capability, ability to adopt to complex performance requirements in biological fluids, sensitivity, stability, literal flexibility and compatibility with large-area processes are only some of the merits of this technology for biomedical applications. A recent example of a bio-integrated electronic device, the BiOET, is based on polymeric semiconductor technology and is fabricated using nano/micro-fabrication methods in conjunction with synthetic biology approaches to incorporate hierarchically organized biological models of the cell membrane. Despite their significance, cell membranes are still an underexplored target for studying the mechanisms of diseases or drug therapies. Cell-free commercially available technologies for cell membrane studies have been limited to synthetic membranes that lack the inherent complexity found in the membrane of the cell. In this talk I will describe a method to create native cell membranes, using vesicles derived from live cells, on top of conducting polymer- based microfabricated electrodes and transistors. The activity of transmembrane proteins in response to different stimuli can be electrically monitored, offering a direct means to characterize drug toxicity or potency at the critical first contact point: membrane interaction.

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24

Mavrodontis, Ioannis I., Ioannis G. Trikoupis, Vasileios A. Kontogeorgakos, Olga D. Savvidou, and Panayiotis J. Papagelopoulos. "Point-of-Care Orthopedic Oncology Device Development." Current Oncology 31, no. 1 (2023): 211–28. http://dx.doi.org/10.3390/curroncol31010014.

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Background: The triad of 3D design, 3D printing, and xReality technologies is explored and exploited to collaboratively realize patient-specific products in a timely manner with an emphasis on designs with meta-(bio)materials. Methods: A case study on pelvic reconstruction after oncological resection (osteosarcoma) was selected and conducted to evaluate the applicability and performance of an inter-epistemic workflow and the feasibility and potential of 3D technologies for modeling, optimizing, and materializing individualized orthopedic devices at the point of care (PoC). Results: Image-based diagnosis and treatment at the PoC can be readily deployed to develop orthopedic devices for pre-operative planning, training, intra-operative navigation, and bone substitution. Conclusions: Inter-epistemic symbiosis between orthopedic surgeons and (bio)mechanical engineers at the PoC, fostered by appropriate quality management systems and end-to-end workflows under suitable scientifically amalgamated synergies, could maximize the potential benefits. However, increased awareness is recommended to explore and exploit the full potential of 3D technologies at the PoC to deliver medical devices with greater customization, innovation in design, cost-effectiveness, and high quality.

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25

Mendez, I., and M. C. Van den Hof. "Mobile remote-presence devices for point-of-care health care delivery." Canadian Medical Association Journal 185, no. 17 (2013): 1512–16. http://dx.doi.org/10.1503/cmaj.120223.

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26

Choi, Jane, Kar Yong, Jean Choi, and Alistair Cowie. "Emerging Point-of-care Technologies for Food Safety Analysis." Sensors 19, no. 4 (2019): 817. http://dx.doi.org/10.3390/s19040817.

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Food safety issues have recently attracted public concern. The deleterious effects of compromised food safety on health have rendered food safety analysis an approach of paramount importance. While conventional techniques such as high-performance liquid chromatography and mass spectrometry have traditionally been utilized for the detection of food contaminants, they are relatively expensive, time-consuming and labor intensive, impeding their use for point-of-care (POC) applications. In addition, accessibility of these tests is limited in developing countries where food-related illnesses are prevalent. There is, therefore, an urgent need to develop simple and robust diagnostic POC devices. POC devices, including paper- and chip-based devices, are typically rapid, cost-effective and user-friendly, offering a tremendous potential for rapid food safety analysis at POC settings. Herein, we discuss the most recent advances in the development of emerging POC devices for food safety analysis. We first provide an overview of common food safety issues and the existing techniques for detecting food contaminants such as foodborne pathogens, chemicals, allergens, and toxins. The importance of rapid food safety analysis along with the beneficial use of miniaturized POC devices are subsequently reviewed. Finally, the existing challenges and future perspectives of developing the miniaturized POC devices for food safety monitoring are briefly discussed.

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27

Gomez, Frank A. "The future of microfluidic point-of-care diagnostic devices." Bioanalysis 5, no. 1 (2013): 1–3. http://dx.doi.org/10.4155/bio.12.307.

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28

Roy, Lavanika, Pronamika Buragohain, and Vivek Borse. "Strategies for sensitivity enhancement of point-of-care devices." Biosensors and Bioelectronics: X 10 (May 2022): 100098. http://dx.doi.org/10.1016/j.biosx.2021.100098.

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29

Mungmunpuntipantip, Rujittika, and Viroj Wiwanitkit. "Prevalence of point-of-care ultrasound devices in Canada." Canadian Journal of Rural Medicine 27, no. 1 (2022): 37. http://dx.doi.org/10.4103/cjrm.cjrm_61_21.

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30

Shu, Tong, Haley Hunter, Ziping Zhou, et al. "Portable point-of-care diagnostic devices: an updated review." Analytical Methods 13, no. 45 (2021): 5418–35. http://dx.doi.org/10.1039/d1ay01643a.

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This review highlights recent examples of point-of-care (POC) diagnostics for detecting nucleic acids, proteins, bacteria, and other biomarkers, all focused on highlighting the positive impact of POC on society and human health.

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31

Quesada-González, Daniel, and Arben Merkoçi. "Nanomaterial-based devices for point-of-care diagnostic applications." Chemical Society Reviews 47, no. 13 (2018): 4697–709. http://dx.doi.org/10.1039/c7cs00837f.

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In this review, we have discussed the capabilities of nanomaterials for point-of-care (PoC) diagnostics and explained how these materials can help to strengthen, miniaturize and improve the quality of diagnostic devices.

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32

Gehlot, Dr Vikas. "Developments in microfluidic devices for point-of-care diagnostics." International Journal of Advanced Chemistry Research 5, no. 2 (2023): 101–3. http://dx.doi.org/10.33545/26646781.2023.v5.i2b.204.

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33

Malekjahani, Ayden, Shrey Sindhwani, Abdullah Muhammad Syed, and Warren C. W. Chan. "Engineering Steps for Mobile Point-of-Care Diagnostic Devices." Accounts of Chemical Research 52, no. 9 (2019): 2406–14. http://dx.doi.org/10.1021/acs.accounts.9b00200.

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34

van Werkum, Jochem W., Antonius A. C. M. Heestermans, and Jurrien M. ten Berg. "Point-of-care devices for monitoring anti-platelet therapy." Thrombosis Research 118, no. 6 (2006): 769–70. http://dx.doi.org/10.1016/j.thromres.2006.01.006.

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35

Wang, ShuQi, Thiruppathiraja Chinnasamy, Mark A. Lifson, Fatih Inci, and Utkan Demirci. "Flexible Substrate-Based Devices for Point-of-Care Diagnostics." Trends in Biotechnology 34, no. 11 (2016): 909–21. http://dx.doi.org/10.1016/j.tibtech.2016.05.009.

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36

Adams, Jeffrey M., Virginia I. Williams, Leslie Schirmer, and Alicemary Aspell ADAMS. "Setting Metrics for Identifying Point-of-Care Documentation Devices." CIN: Computers, Informatics, Nursing 25, no. 5 (2007): 309. http://dx.doi.org/10.1097/01.ncn.0000289175.71272.9b.

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37

Sandbhor Gaikwad, Puja, and Rinti Banerjee. "Advances in point-of-care diagnostic devices in cancers." Analyst 143, no. 6 (2018): 1326–48. http://dx.doi.org/10.1039/c7an01771e.

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38

Sen, Indrani, Edwin Stephen, Sunil Agarwal, Grace Rebekah, and Sukesh Chandran Nair. "Analytical performance of a point-of-care device in monitoring patients on oral anticoagulation with vitamin K antagonists." Phlebology: The Journal of Venous Disease 31, no. 9 (2016): 660–67. http://dx.doi.org/10.1177/0268355515608569.

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Анотація:

Background [Please check the following sentence for clarity: “Point-of-care devices measuring international normalized ratio have clinical appeal, reports of ‘off-label’ in-hospital/primary care use report improved time to intervention/dose adjustment.”]Point-of-care devices measuring international normalized ratio have clinical appeal, reports of ‘off-label’ in-hospital/primary care use report improved time to intervention/dose adjustment. We evaluated the accuracy and precision of a device for such multiple patient use compared to a reference laboratory. Methods The point-of-care international normalized ratio result of patients on oral anticoagulation at the Vascular Surgery clinic was compared to the reference to check for statistical and clinical correlation. This was a prospective case–control study design with sample size calculated for sensitivity of 87.5%, precision 5% and desired confidence level 95%. Results There were 168 patients tested; 55% were male, the mean age was 45.4. Sixty per cent were in the target international normalized ratio range. Tests were done for statistical and clinical correlation. The international normalized ratio range using the point-of-care device was 0.8–7.5 (reference lab 0.8–10), mean international normalized ratio was 2.22 ± 1.6 (point-of-care device) compared to 2.46 ± 1.3 (reference lab). The mean absolute difference was 0.79 ± 0.92 and the mean relative difference was 8.1% ± 1.03. Data was analysed using a Bland–Altman plot yielding a mean of 0.738 (standard deviation 0.92). Concordance between the tests was 75% with r2 = 0.52 on linear regression. Using an error grid plot, excellent clinical correlation was seen in 63.8%. In 5.4% major corrective action was needed but potentially missed if relying on the point-of-care device. Conclusion The accuracy and precision of this point-of-care device is moderate. It may have potential utility only where access to a reference lab is difficult.

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39

Choi, Jane Ru, and Kar Wey Yong. "Editorial for the Special Issue on Point-of-Care Devices." Micromachines 11, no. 4 (2020): 389. http://dx.doi.org/10.3390/mi11040389.

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Sahli, Sebastian D., Julian Rössler, David W. Tscholl, Jan-Dirk Studt, Donat R. Spahn, and Alexander Kaserer. "Point-of-Care Diagnostics in Coagulation Management." Sensors 20, no. 15 (2020): 4254. http://dx.doi.org/10.3390/s20154254.

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This review provides a comprehensive and up-to-date overview of point-of-care (POC) devices most commonly used for coagulation analyses in the acute settings. Fast and reliable assessment of hemostasis is essential for the management of trauma and other bleeding patients. Routine coagulation assays are not designed to visualize the process of clot formation, and their results are obtained only after 30–90 m due to the requirements of sample preparation and the analytical process. POC devices such as viscoelastic coagulation tests, platelet function tests, blood gas analysis and other coagulometers provide new options for the assessment of hemostasis, and are important tools for an individualized, goal-directed, and factor-based substitution therapy. We give a detailed overview of the related tests, their characteristics and clinical implications. This review emphasizes the evident advantages of the speed and predictive power of POC clot measurement in the context of a goal-directed and algorithm-based therapy to improve the patient’s outcome. Interpretation of viscoelastic tests is facilitated by a new visualization technology.

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Dietzel, Frank, Peter Dieterich, Frank Dörries, Hartmut Gehring, and Philipp Wegerich. "Invasive and non-invasive point-of-care testing and point-of-care monitoring of the hemoglobin concentration in human blood – how accurate are the data?" Biomedical Engineering / Biomedizinische Technik 64, no. 5 (2019): 495–506. http://dx.doi.org/10.1515/bmt-2018-0066.

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Анотація:

Abstract In this review, scientific investigations of point-of-care testing (POCT) and point-of-care monitoring (POCM) devices are summarized with regard to the measurement accuracy of the hemoglobin concentration. As a common basis, information according to the Bland and Altman principle [bias, limits of agreement (LOA)] as well as the measurement accuracy and precision are considered, so that the comparability can be mapped. These collected data are subdivided according to the manufacturers, devices and procedures (invasive and non-invasive). A total of 31 devices were identified. A comparability of the scientific investigations in particular was given for 23 devices (18 invasive and five non-invasive measuring devices). In terms of measurement accuracy, there is a clear leap between invasive and non-invasive procedures, while no discernible improvement can be derived in the considered time frame from 2010 to 2018. According to the intended use, strict specifications result from the clinical standards, which are insufficiently met by the systems. More stringent requirements can be derived both in the area of blood donation and in the treatment of patients.

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42

Giriraja, K. V., Suman Govindaraj, H. P. Chandrakumar, et al. "Clinical Validation of Integrated Point-of-Care Devices for the Management of Non-Communicable Diseases." Diagnostics 10, no. 5 (2020): 320. http://dx.doi.org/10.3390/diagnostics10050320.

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Non-communicable diseases are the leading cause of death and disability across India, including in the poorest states. Effective disease management, particularly for cardiovascular diseases, requires the tracking of several biochemical and physiological parameters over an extended period of time. Currently, patients must go to diagnostic laboratories and doctors’ clinics or invest in individual point-of-care devices for measuring the required parameters. The cost and inconvenience of current options lead to inconsistent monitoring, which contribute to suboptimal outcomes. Furthermore, managing multiple individual point-of-devices is challenging and helps track some parameters to the exclusion of others. To address these issues, HealthCubed, a primary care technology company, has designed integrated devices that measure blood glucose, hemoglobin, cholesterol, uric acid, blood pressure, capillary oxygen saturation and pulse rate. Here we report data from clinical studies undertaken in healthy subjects establishing the validity of an integrated device for monitoring multiple parameters.

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Mauk, Michael, Jinzhao Song, Haim H. Bau, et al. "Miniaturized devices for point of care molecular detection of HIV." Lab on a Chip 17, no. 3 (2017): 382–94. http://dx.doi.org/10.1039/c6lc01239f.

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Schött, Ulf. "Prehospital Coagulation Monitoring of Resuscitation With Point-of-Care Devices." Shock 41 (May 2014): 26–29. http://dx.doi.org/10.1097/shk.0000000000000108.

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Karsten, Stanislav L., Mehmet C. Tarhan, Lili C. Kudo, Dominique Collard, and Hiroyuki Fujita. "Point-of-care (POC) devices by means of advanced MEMS." Talanta 145 (December 2015): 55–59. http://dx.doi.org/10.1016/j.talanta.2015.04.032.

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46

Linert, Julia. "Applications of Microfluidics and Nanotechnologies for Point-of-Care Devices." IFAC-PapersOnLine 55, no. 39 (2022): 364–69. http://dx.doi.org/10.1016/j.ifacol.2022.12.054.

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Sonko, Momodou L., T. Campbell Arnold, and Ivan A. Kuznetsov. "Machine Learning in Point of Care Ultrasound." POCUS Journal 7, Kidney (2022): 78–87. http://dx.doi.org/10.24908/pocus.v7ikidney.15345.

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When a patient presents to the ED, clinicians often turn to medical imaging to better understand their condition. Traditionally, imaging is collected from the patient and interpreted by a radiologist remotely. However, scanning devices are increasingly equipped with analytical software that can provide quantitative assessments at the patient’s bedside. These assessments often rely on machine learning algorithms as a means of interpreting medical images.

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Yap, Boon, Siti M.Soair, Noor Talik, Wai Lim, and Lai Mei I. "Potential Point-of-Care Microfluidic Devices to Diagnose Iron Deficiency Anemia." Sensors 18, no. 8 (2018): 2625. http://dx.doi.org/10.3390/s18082625.

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Over the past 20 years, rapid technological advancement in the field of microfluidics has produced a wide array of microfluidic point-of-care (POC) diagnostic devices for the healthcare industry. However, potential microfluidic applications in the field of nutrition, specifically to diagnose iron deficiency anemia (IDA) detection, remain scarce. Iron deficiency anemia is the most common form of anemia, which affects billions of people globally, especially the elderly, women, and children. This review comprehensively analyzes the current diagnosis technologies that address anemia-related IDA-POC microfluidic devices in the future. This review briefly highlights various microfluidics devices that have the potential to detect IDA and discusses some commercially available devices for blood plasma separation mechanisms. Reagent deposition and integration into microfluidic devices are also explored. Finally, we discuss the challenges of insights into potential portable microfluidic systems, especially for remote IDA detection.

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Haggerty, Lauren, and Deanna Tran. "Cholesterol Point-of-Care Testing for Community Pharmacies: A Review of the Current Literature." Journal of Pharmacy Practice 30, no. 4 (2016): 451–58. http://dx.doi.org/10.1177/0897190016645023.

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Objective: To summarize the literature on cholesterol point-of-care tests (POCTs). This article would serve as a resource to assist community pharmacists in developing cholesterol point-of-care (POC) pharmacy services. Data Sources: A literature search was performed in MEDLINE Ovid, PubMed, EMBASE, and Cochrane database using the following medical subject headings (MeSH) terms: point-of-care test, cholesterol, blood chemical analysis, rapid testing, collaborative practice, community pharmacy, and ambulatory care. Additional resources including device manufacturer web sites were summarized to supplement the current literature. Study Selection and Data Extraction: All human research articles, review articles, meta-analyses, and abstracts published in English through September 1, 2014, were considered. Data Synthesis: A total of 36 articles were applicable for review. Information was divided into the following categories to be summarized: devices, pharmacists’ impact, and operational cost for the pharmacy. Conclusions: The current literature suggests that POCTs in community pharmacies assist with patient outcomes by providing screenings and referring patients with dyslipidemia for further evaluation. The majority of studies on cholesterol POC devices focused on accuracy, revealing the need for further studies to develop best practices and practice models with successful reimbursement. Accuracy, device specifications, required supplies, and patient preference should be considered when selecting a POC device for purchase.

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Kost, Gerald J. "Preventing Medical Errors in Point-of-Care Testing." Archives of Pathology & Laboratory Medicine 125, no. 10 (2001): 1307–15. http://dx.doi.org/10.5858/2001-125-1307-pmeipo.

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Abstract Objective.—To prevent medical errors, improve user performance, and enhance the quality, safety, and connectivity (bidirectional communication) of point-of-care testing. Participants.—Group A included 37 multidisciplinary experts in point-of-care testing programs in critical care and other hospital disciplines. Group B included 175 professional point-of-care managers, specialists, clinicians, and researchers. The total number of participants equaled 212. Evidence.—This study followed a systems approach. Expert specifications for prevention of medical errors were incorporated into the designs of security, validation, performance, and emergency systems. Additional safeguards need to be implemented through instrument software options and point-of-care coordinators. Connectivity will be facilitated by standards that eliminate deficiencies in instrument communication and device compatibility. Assessment of control features on handheld, portable, and transportable point-of-care instruments shows that current error reduction features lag behind needs. Consensus Process.—Step 1: United States national survey and collation of group A expert requirements for security, validation, and performance. Step 2: Design of parallel systems for these functions. Step 3: Written critique and improvement of the error-prevention systems during 4 successive presentations to group B participants over 9 months until system designs stabilized into final consensus form. Conclusions.—The consensus process produced 6 conclusions for preventing medical errors in point-of-care testing: (1) adopt operator certification and validation in point-of-care testing programs; (2) implement security, validation, performance, and emergency systems on existing and new devices; (3) require flexible, user-defined error-prevention system options on instruments as a prerequisite to federal licensing of new diagnostic tests and devices; (4) integrate connectivity standards for bidirectional information exchange; (5) preserve fast therapeutic turnaround time of point-of-care test results; and (6) monitor invalid use, operator competence, quality compliance, and other performance improvement indices to reduce errors, thereby focusing on patient outcomes. (Arch Pathol Lab Med. 2001;1307–1315)

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