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Point-of-Care Devices in Healthcare: A Public Health Perspective

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Current and Future Trends in Health and Medical Informatics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1112))

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Abstract

Point-of-Care (POC) devices enable medical interventions, such as testing, to be performed near the patient and often by the patient. It has been suggested that the use of POC devices will change medicine from a symptom/diagnosis/treatment endeavor to a monitoring/prediction/prevention exercise. The rate at which this area introduces innovation and discovery is high, although a majority of such devices are currently utilized for screening purposes. This article discusses the public health benefits of POC devices in terms of patient engagement, health inequality, health promotion and their impact on healthcare system. Low-cost screening clinics that use POC devices ultimately help reduce health inequality in developing countries and remote areas. The article also outlines the issues hindering the benefits of using POC such as connectivity, integration and data management, and calibration. Further, it suggests a framework to present and evaluate POC devices used in the healthcare industry. We argue that having such a framework provides a set of measures to evaluate and select POC for various tasks. The scope of this study is limited to medical-grade devices used at home or in clinics, aged care facilities, and hospital settings.

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References

  1. R. Abdolkhani, A. Borda, K. Gray, Quality management of patient generated health data in remote patient monitoring using medical wearables—a systematic review. Stud. Health Technol. Inform. 252, 1–7 (2018)

    Google Scholar 

  2. W.T. Abraham, L.W. Stevenson, R.C. Bourge, J.A. Lindenfeld, J.G. Bauman, P.B. Adamson, C.T.S. Group, Sustained efficacy of pulmonary artery pressure to guide adjustment of chronic heart failure therapy: complete follow-up results from the champion randomised trial. Lancet 387, 453–641 (2016). https://doi.org/10.1016/S0140-6736(15)00723-0

  3. P. Adhikari, S. Pemminati, R. Pathak, M.S. Kotian, S. Ullal, Prevalence of hypertension in Boloor diabetes study (BDS-II) and its risk factors. J. Clin. Diagnos. Res. JCDR 9, IC01–IC04 (2015). https://doi.org/10.7860/JCDR/2015/16509.6781

  4. P. Aggarwal, S. Galwankar, J. Nayer, Utility of point-of-care testing of natriuretic peptides (brain natriuretic peptide and n-terminal pro-brain natriuretic peptide) in the emergency department. Int. J. Crit. Illn. Inj. Sci. 4, 209 (2014). https://doi.org/10.4103/2229-5151.141406

    Article  Google Scholar 

  5. A. Alanazi, Using machine learning for healthcare challenges and opportunities (2022). https://doi.org/10.1016/j.imu.2022.100924

  6. A. Alshaer, B.A. Badgheish, Z.H. Alsadah, K. Sewify, S. Alghazal, S. Alzahrani, A. Qadi, R. Alqahtani, G.A. Farsani, A. Shilash, Comparing the accuracy of point-of-care with laboratory (capillary, venous, and arterial) blood glucose levels in critically ill patients with and without shock. BMC Res. Notes 15(1), 372 (2022)

    Article  Google Scholar 

  7. C. American Pathologists, Point-of-care-testing checklist CAP accreditation program (2021), www.cap.org. Accessed 09.22.2021

  8. R. Anchala, N.K. Kannuri, H. Pant, H. Khan, O.H. Franco, E.D. Angelantonio, D. Prabhakaran, Hypertension in india: a systematic review and meta-analysis of prevalence, awareness, and control of hypertension (2014). https://doi.org/10.1097/HJH.0000000000000146

  9. E. Andrès, L. Meyer, A.A. Zulfiqar, M. Hajjam, S. Talha, T. Bahougne, S. Ervé, J. Hajjam, J. Doucet, N. Jeandidier, A.H.E. Hassani, Telemonitoring in diabetes: evolution of concepts and technologies, with a focus on results of the more recent studies (2019). https://doi.org/10.25122/jml-2019-0006

  10. E. Archibong, K.R. Konnaiyan, H. Kaplan, A. Pyayt, A mobile phone-based approach to detection of hemolysis. Biosens. Bioelectron. 88, 204–209 (2017). https://doi.org/10.1016/j.bios.2016.08.030

    Article  Google Scholar 

  11. E. Bakker, Can calibration-free sensors be realized? ACS Sensors 1, 838–841 (2016)

    Article  Google Scholar 

  12. H. Banaee, M.U. Ahmed, A. Loutfi, Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges (2013). https://doi.org/10.3390/s131217472

  13. F. Barbabella, M.G. Melchiorre, S. Quattrini, R. Papa, G. Lamura, European observatory policy briefs (2017)

    Google Scholar 

  14. S. Barello, S. Triberti, G. Graffigna, C. Libreri, S. Serino, J. Hibbard, R. Giuseppe, ehealth for patient engagement: a systematic review. Front. Psychol. (2016)

    Google Scholar 

  15. D. Betts, R. Gordon, A.M. Egizi, C.B. Cruse, The future of the public’s health (2021), https://www2.deloitte.com/us/en/insights/industry/health-care/the-future-of-public-health.html

  16. Y. Bombard, G.R. Baker, E. Orlando, C. Fancott, P. Bhatia, S. Casalino, K. Onate, J.L. Denis, M.P. Pomey, Engaging patients to improve quality of care: a systematic review. Implement. Sci. 13, 98 (2018). https://doi.org/10.1186/s13012-018-0784-z

    Article  Google Scholar 

  17. J.W.L. Cals, A.M.R. Schols, H.C.P.M. van Weert, F. Stevens, C.G.I.P. Zeijen, G. Holtman, W.A.M. Lucassen, M.Y. Berger, Point-of-care testing in family practices: present use and need for tests in the future. Ned. Tijdschr. Geneeskd. 158, A8210 (2014)

    Google Scholar 

  18. S. Campuzano, M. Pedrero, M. Gamella, V. Serafín, P. Yáñez-Sedeño, J.M. Pingarrón, Beyond sensitive and selective electrochemical biosensors: towards continuous, real-time, antibiofouling and calibration-free devices. Sensors (Basel) 20(12), 3376 (2020)

    Article  Google Scholar 

  19. A.D. Cerbo, N. Quagliano, A. Napolitano, F. Pezzuto, T. Iannitti, A.D. Cerbo, Comparison between an emerging point-of-care tool for TSH evaluation and a centralized laboratory-based method in a cohort of patients from southern Italy. Diagnostics 11 (2021). https://doi.org/10.3390/diagnostics11091590

  20. CISCO: Cisco annual internet report (2018-2023) white paper (2020)

    Google Scholar 

  21. M. Clinic, Remote patient monitoring: comprehensive care at home (2021), https://www.mayoclinichealthsystem.org/hometown-health/speaking-of-health/remote-patient-monitoring-comprehensive-care-at-home

  22. P. Commission, Managed competition in health care (The Commission, 2002), p. 97

    Google Scholar 

  23. G.L. Damhorst, E.A. Tyburski, O. Brand, G.S. Martin, W.A. Lam, Diagnosis of acute serious illness: the role of point-of-care technologies. Curr. Opin. Biomed. Eng. 11, 22–34 (2019)

    Article  Google Scholar 

  24. C. Doherty, C. Stavropoulou, Patients’ willingness and ability to participate actively in the reduction of clinical errors: a systematic literature review. Soc. Sci. Med. 75, 257–263 (2012). https://doi.org/10.1016/j.socscimed.2012.02.056

    Article  Google Scholar 

  25. N. Engel, P. Wolffs, Aligning diagnostics to the point-of-care: lessons for innovators, evaluators and decision-makers from tuberculosis and HIV. BMJ Global Health 5 (2020). https://doi.org/10.1136/bmjgh-2020-003457

  26. R. Erasmus, S. Sahni, R. El-Sharkawy, Connectivity strategies in managing a POCT service. EJIFCC 32(2), 190–194 (2021)

    Google Scholar 

  27. J. Espinoza, N.Y. Xu, K.T. Nguyen, D.C. Klonoff, The need for data standards and implementation policies to integrate CGM data into the electronic health record. J. Diabetes Sci. Technol. 17(2), 495–502 (2023)

    Google Scholar 

  28. G. Fagherazzi, P. Ravaud, Digital diabetes: perspectives for diabetes prevention, management and research. Diabetes Metab. 45, 322–329 (2019). https://doi.org/10.1016/J.DIABET.2018.08.012

  29. V. Foerster, M. Severn, Point-of-care glycated hemoglobin testing to diagnose type 2 diabetes (2017)

    Google Scholar 

  30. A. Ghaffari, R. Meurant, A. Ardakani, COVID-19 point-of-care diagnostics that satisfy global target product profiles. Diagnostics 11 (2021). https://doi.org/10.3390/diagnostics11010115

  31. M. Ghassemi, T. Naumann, P. Schulam, A.L. Beam, I.Y. Chen, R. Ranganath, A review of challenges and opportunities in machine learning for health, in AMIA Joint Summits on Translational Science (2020)

    Google Scholar 

  32. A. Gialamas, L.N. Yelland, P. Ryan, K. Willson, C.O. Laurence, T.K. Bubner, P. Tideman, J.J. Beilby, Does point-of-care testing lead to the same or better adherence to medication? A randomised controlled trial: the poct in general practice trial. Med. J. Aust. 191, 487–491 (2009). https://doi.org/10.5694/j.1326-5377.2009.tb02910.x

  33. G. Graffigna, S. Barello, Spotlight on the patient health engagement model (PHE model): a psychosocial theory to understand people’s meaningful engagement in their own health care. Patient Prefer Adherence 12, 1261–1271 (2018). https://doi.org/10.2147/ppa.S145646

    Article  Google Scholar 

  34. L.A. Hagens, A.R.M. Verschueren, A. Lammers, N.F.L. Heijnen, M.R. Smit, T.M.E. Nijsen, I. Geven, M.J. Schultz, D.C.J.J. Bergmans, R.M. Schnabel, L.D.J. Bos, Development and validation of a point-of-care breath test for octane detection. Analyst 146(14), 4605–4614 (2021)

    Article  Google Scholar 

  35. M. Haghi, S. Danyali, S. Ayasseh, J. Wang, R. Aazami, T.M. Deserno, Wearable devices in health monitoring from the environmental towards multiple domains: A survey. Sensors 21, 1–24 (2021). https://doi.org/10.3390/s21062130, cited by: 3 Export Date: 30 October 2021

  36. M. Harvey, A. Seiler, Challenges in managing a remote monitoring device clinic. Heart Rhythm O2 3(1), 3–7 (2022)

    Google Scholar 

  37. Z. Hosseini, S.J. Whiting, H. Vatanparast, Type 2 diabetes prevalence among Canadian adults—dietary habits and sociodemographic risk factors. Appl. Physiol. Nutr. Metab. 44, 1099–1104 (2019). https://doi.org/10.1139/apnm-2018-0567

    Article  Google Scholar 

  38. M.P. Hudson, R.H. Christenson, L.K. Newby, A.L. Kaplan, E.M. Ohman, Cardiac markers: point of care testing (1999)

    Google Scholar 

  39. P. Jiang, J. Winkley, C. Zhao, R. Munnoch, G. Min, L.T. Yang, An intelligent information forwarder for healthcare big data systems with distributed wearable sensors. IEEE Syst. J. 10(3), 1147–1159 (2016). https://doi.org/10.1109/JSYST.2014.2308324

    Article  Google Scholar 

  40. P. Jørgensen, A. Langhammer, S. Krokstad, S. Forsmo, Mortality in persons with undetected and diagnosed hypertension, type 2 diabetes, and hypothyroidism, compared with persons without corresponding disease—a prospective cohort study; the HUNT Study, Norway. BMC Fam. Pract. 18, 98 (2017). https://doi.org/10.1186/s12875-017-0672-7

  41. S. Kanji, J. Buffie, B. Hutton, P.S. Bunting, A. Singh, K. McDonald, D. Fergusson, L.A. McIntyre, P.C. Hebert, Reliability of point-of-care testing for glucose measurement in critically ill adults. Crit. Care Med. 33(12), 2778–2785 (2005)

    Article  Google Scholar 

  42. S.H. Kaplan, S. Greenfield, J.E. Ware, Assessing the effects of physician-patient interactions on the outcomes of chronic disease. Med. Care 27(3 Suppl), S110–S127 (1989)

    Article  Google Scholar 

  43. D. Kapoor, P. Singh, M. Srivastava, Point of care blood gases with electrolytes and lactates in adult emergencies. Int. J. Crit. Illn. Inj. Sci. 4, 216 (2014). https://doi.org/10.4103/2229-5151.141411

    Article  Google Scholar 

  44. C.J. Kelly, A. Karthikesalingam, M. Suleyman, G. Corrado, D. King, Key challenges for delivering clinical impact with artificial intelligence (2019). https://doi.org/10.1186/s12916-019-1426-2

  45. S. Kennedy, How big data analytics can support preventive health (2022), https://healthitanalytics.com/features/how-big-data-analytics-can-support-preventive-health

  46. M.M.A. Kip, J.M. Hummel, E.B. Eppink, H. Koffijberg, R.M. Hopstaken, M.J. IJzerman, R. Kusters, Understanding the adoption and use of point-of-care tests in Dutch general practices using multi-criteria decision analysis. BMC Fam. Pract. 20(1), 8 (2019)

    Google Scholar 

  47. A.N. Konwar, V. Borse, Current status of point-of-care diagnostic devices in the Indian healthcare system with an update on Covid-19 pandemic (2020). https://doi.org/10.1016/j.sintl.2020.100015

  48. S. Kumar, M. Nehra, S. Khurana, N. Dilbaghi, V. Kumar, A. Kaushik, K.H. Kim, Aspects of point-of-care diagnostics for personalized health wellness (2021). https://doi.org/10.2147/IJN.S267212

    Article  Google Scholar 

  49. D. Kuupiel, V. Bawontuo, P.K. Drain, N. Gwala, T.P. Mashamba-Thompson, Supply chain management and accessibility to point-of-care testing in resource-limited settings: a systematic scoping review. BMC Health Services Res. 19, 519 (2019). https://doi.org/10.1186/s12913-019-4351-3

    Article  Google Scholar 

  50. Labcompare: Point of care devices (POC diagnostic devices) (2022), https://www.labcompare.com/Clinical-Diagnostics/5096-POC-Diagnostic-Devices/

  51. G. Lenaerts, G.E. Bekkering, M. Goossens, L. De Coninck, N. Delvaux, S. Cordyn, J. Adriaenssens, P. Vankrunkelsven, Tools to assess the trustworthiness of evidence-based point-of-care information for health care professionals: systematic review. J. Med. Internet Res. 22(1), e15415 (2020)

    Article  Google Scholar 

  52. H. Li, P. Dauphin-Ducharme, G. Ortega, K.W. Plaxco, Calibration-free electrochemical biosensors supporting accurate molecular measurements directly in undiluted whole blood. J. Am. Chem. Soc. 139(32), 11207–11213 (2017)

    Article  Google Scholar 

  53. D. Lingervelder, H. Koffijberg, R. Kusters, M.J. Ijzerman, Point-of-care testing in primary care: a systematic review on implementation aspects addressed in test evaluations. Int. J. Clin. Pract. 73 (2019). https://doi.org/10.1111/ijcp.13392

  54. F. Liu, P. Demosthenes, Real-world data: a brief review of the methods, applications, challenges and opportunities (2022). https://doi.org/10.1186/s12874-022-01768-6

  55. M. Magnocavallo, G. Vetta, A. Bernardini, A. Piro, M.C. Mei, M.D. Iorio, M.V. Mariani, D.G.D. Rocca, P. Severino, R. Quaglione, G. Giunta, C. Chimenti, F. Miraldi, C.D. Vizza, F. Fedele, C. Lavalle, Impact of COVID-19 pandemic on cardiac electronic device management and role of remote monitoring (2022). https://doi.org/10.1016/j.ccep.2021.10.010

  56. A. Manocha, S. Bhargava, Emerging challenges in point-of-care testing. Curr. Med. Res. Pract. (2019)

    Google Scholar 

  57. J. McKeon, Ai in healthcare poses algorithmic bias, data privacy, security risks (2022), https://healthitanalytics.com/news/biases-in-artificial-intelligence-led-to-

  58. M.P. Mcnerney, Y. Zhang, P. Steppe, A.D. Silverman, M.C. Jewett, M.P. Styczynski, Point-of-care biomarker quantification enabled by sample-specific calibration. Sci. Adv. 5 (2019), https://www.science.org

  59. MEDTEK: 5 important benefits of point-of-care testing (poct) (2022), https://medtek.com.ph/2022/06/03/5

  60. B.B. Nunna, D. Mandal, S. Zhuang, E.S. Lee, A standalone micro biochip to monitor the cancer progression by measuring cancer antigens as a point-of-care (POC) device for enhanced cancer management, pp. 212–215 (2017). https://doi.org/10.1109/HIC.2017.8227622

  61. B. Pais, P. Buluschek, G. DuPasquier, T. Nef, N. Schütz, H. Saner, D. Gatica-Perez, V. Santschi, Evaluation of 1-year in-home monitoring technology by home-dwelling older adults, family caregivers, and nurses. Front. Public Health 8 (2020). https://doi.org/10.3389/fpubh.2020.518957

  62. M.L. Parker, P.M. Yip, L.V. DeCherrie, C. Escobar, A.K. Füzéry, C.P. Price, A. St John, There’s no place like home: exploring home-based, acute-level healthcare. Clin. Chem. 64(8), 1136–1142 (2018). https://doi.org/10.1373/clinchem.2017.283093

  63. A. Plüddemann, C. Heneghan, M. Thompson, N. Roberts, N. Summerton, L. Linden-Phillips, C. Packer, C.P. Price, Prioritisation criteria for the selection of new diagnostic technologies for evaluation. BMC Health Serv. Res. 10(1), 109 (2010)

    Article  Google Scholar 

  64. A.S. Poncette, L. Mosch, C. Spies, M. Schmieding, F. Schiefenhövel, H. Krampe, F. Balzer, Improvements in patient monitoring in the intensive care unit: survey study. J. Med. Internet Res. 22, e19091 (2020). https://doi.org/10.2196/19091

  65. T. Poongodi, R. Krishnamurthi, R. Indrakumari, P. Suresh, B. Balusamy, Wearable Devices and IoT (Springer International Publishing, Cham, 2020), pp. 245–273. https://doi.org/10.1007/978-3-030-23983-1_10

  66. C. Public, Cisco annual internet report (2018)

    Google Scholar 

  67. C.C. Quinn, E.C. Butler, K.K. Swasey, M.D. Shardell, M.D. Terrin, E.A. Barr, A.L. Gruber-Baldini, Mobile diabetes intervention study of patient engagement and impact on blood glucose: mixed methods analysis. JMIR mHealth uHealth 6, e31.2 (2018). https://doi.org/10.2196/mhealth.9265

  68. R. Rajendran, G. Rayman, Point-of-care blood glucose testing for diabetes care in hospitalized patients: an evidence-based review (2014). https://doi.org/10.1177/1932296814538940

  69. M.I. Razzak, M. Imran, G. Xu, Big data analytics for preventive medicine. Neural Comput. Appl. 32, 4417–4451 (2020). https://doi.org/10.1007/s00521-019-04095-y

  70. Research, Markets: Global point of care diagnostics/testing market size, share & trends analysis report, 2019-2025—researchandmarkets.com (2019), https://search.ebscohost.com/login.aspx?direct=true &AuthType=sso &db=bwh &AN=bizwire.c88717437 &site=eds-live &scope=site &custid=s2775460, business Wire (English) Accession Number: bizwire.c88717437; Issue Information; Place of Event: DUBLIN; Document Type: Article

  71. C.R. Rousseau, P. Bühlmann, Calibration-free potentiometric sensing with solid-contact ion-selective electrodes. TrAC Trends Anal. Chem. 140, 116277 (2021). https://doi.org/10.1016/j.trac.2021.116277; www.sciencedirect.com/science/article/pii/S016599362100100X

  72. A.H. Sapci, H.A. Sapci, Innovative assisted living tools, remote monitoring technologies, artificial intelligence-driven solutions, and robotic systems for aging societies: systematic review. JMIR Aging 2(2), e15429 (2019). https://doi.org/10.2196/15429

    Article  Google Scholar 

  73. M. Shephard, A. Shephard, S. Matthews, K. Andrewartha, The benefits and challenges of point-of-care testing in rural and remote primary care settings in Australia. Arch. Pathol. Lab. Med. 144 (2020). https://doi.org/10.5858/arpa.2020-0105-RA

  74. N. Shimizu, K. Kotani, Health information exchange in relation to point-of-care testing in home care: issues in Japan. Clin. Chim. Acta 532, 10–12 (2022). https://doi.org/10.1016/j.cca.2022.05.013

    Article  Google Scholar 

  75. B. Sorensen, S. Hunskaar, Point-of-care ultrasound in primary care: a systematic review of generalist performed point-of-care ultrasound in unselected populations. Ultrasound J. 11(1), 31 (2019)

    Article  Google Scholar 

  76. R. Steinberg, B. Anderson, Z. Hu, T.M. Johnson, J.B. O’Keefe, L.C. Plantinga, R. Kamaleswaran, B. Anderson, Associations between remote patient monitoring programme responsiveness and clinical outcomes for patients with COVID-19. BMJ Open Qual. 10 (2021). https://doi.org/10.1136/bmjoq-2021-001496

  77. M. Stevenson, A situation analysis of the state of supply of in vitro diagnostics in low-income countries. Glob. Public Health 15, 1836–1846 (2020). https://doi.org/10.1080/17441692.2020.1801791

    Article  Google Scholar 

  78. A. Stranieri, S. Venkatraman, J. Minicz, A. Zarnegar, S. Firmin, V. Balasubramanian, H. Jelinek, Emerging point of care devices and artificial intelligence: prospects and challenges for universal health risk assessment. Under review (2021)

    Google Scholar 

  79. E.K.W. Tan, Y.Z. Au, G.K. Moghaddam, L.G. Occhipinti, C.R. Lowe, Towards closed-loop integration of point-of-care technologies. Trends Biotechnol. 37(7), 775–788 (2019)

    Article  Google Scholar 

  80. S. Thukral, S. Vedantham, Clinical medicine catheter-based therapies and other management strategies for deep vein thrombosis and post-thrombotic syndrome. https://doi.org/10.3390/jcm9051439

  81. S. Tian, W. Yang, J.M.L. Grange, P. Wang, W. Huang, Z. Ye, Smart healthcare: making medical care more intelligent. J. Glob. Health 3, 62–65 (2019). https://doi.org/10.1016/j.glohj.2019.07.001

    Article  Google Scholar 

  82. P.J. Turner, A. Van den Bruel, C.H.D. Jones, A. Plüddemann, C. Heneghan, M.J. Thompson, C.P. Price, J. Howick, Point-of-care testing in UK primary care: a survey to establish clinical needs. Fam. Pract. 33(4), 388–394 (2016)

    Article  Google Scholar 

  83. J. Vespa, L. Medina, D.M. Armstrong, Demographic turning points for the united states: population projections for 2020 to 2060 population estimates and projections current population reports (2020), www.census.gov/programs-surveys/popproj

  84. C. Wang, M. Liu, Z. Wang, S. Li, Y. Deng, N. He, Point-of-care diagnostics for infectious diseases: from methods to devices (2021). https://doi.org/10.1016/j.nantod.2021.101092

  85. C.F. Weber, K. Zacharowski, Perioperative point-of-care-Gerinnungsdiagnostik. Deutsches Arzteblatt Int. 109 (2012). https://doi.org/10.3238/arztebl.2012.0369

  86. M.A. Weigelt, R. Sivamani, H. Lev-Tov, The therapeutic potential of cannabinoids for integumentary wound management. Exp. Dermatol. 30, 201–211 (2021). https://doi.org/10.1111/exd.14241

    Article  Google Scholar 

  87. D. Weiss, H.T. Rydland, E. Øversveen, M.R. Jensen, S. Solhaug, S. Krokstad, Innovative technologies and social inequalities in health: a scoping review of the literature. PLoS One 13, e0195447–e0195447 (2018). https://doi.org/10.1371/journal.pone.0195447

    Article  Google Scholar 

  88. J.B. Withall, J.M. Schwartz, J. Usseglio, K.D. Cato, A scoping review of integrated medical devices and clinical decision support in the acute care setting. Appl. Clin. Inform. 13(5), 1223–1236 (2022)

    Article  Google Scholar 

  89. H.Y. Wong, L.G. Marcu, E. Bezak, N.A. Parange, Review of health economics of point-of-care testing worldwide and its efficacy of implementation in the primary health care setting in remote Australia. Risk Manag. Healthc. Policy 13, 379–386 (2020). https://doi.org/10.2147/rmhp.s247774

    Article  Google Scholar 

  90. World Health Organization, More than 700 million people with untreated hypertension (2021), https://www.who.int/news/item/25-08-2021-more-than-700-million-people-with-untreated-hypertension

  91. J. Yao, R. Schmitz, S. Warren, A wearable point-of-care system for home use that incorporates plug-and-play and wireless standards. IEEE Trans. Inf. Technol. Biomed. 9(3), 363–371 (2005)

    Article  Google Scholar 

  92. E.H. Yayan, M. Zengin, A key point in medical measurements: device calibration and knowledge level of healthcare professionals. Int. J. Car. Sci. 13(2), 1346–1354 (2020)

    Google Scholar 

  93. A. Yu, The value of POCT (Point of Care Technology) investing in 2020 (2020), https://www.linkedin.com/pulse/value-poct-point-care-technology-investing-2020-andy-yu/

  94. E. Øversveen, Stratified users and technologies of empowerment: theorising social inequalities in the use and perception of diabetes self-management technologies. Sociol. Health Illn. 42, 862–876 (2020). https://doi.org/10.1111/1467-9566.13066

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  1. Swinburne University of Technology, Melbourne, Australia

    Armita Zarnegar

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  1. Computer Science and Software Engineering, University of Detroit Mercy, Detroit, MI, USA

    Kevin Daimi

  2. Asia Pacific International College, Sydney, NSW, Australia

    Abeer Alsadoon

  3. School of Engineering, Polytechnique Porto, Porto, Portugal

    Sara Seabra Dos Reis

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Zarnegar, A. (2023). Point-of-Care Devices in Healthcare: A Public Health Perspective. In: Daimi, K., Alsadoon, A., Seabra Dos Reis, S. (eds) Current and Future Trends in Health and Medical Informatics. Studies in Computational Intelligence, vol 1112. Springer, Cham. https://doi.org/10.1007/978-3-031-42112-9_4

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