Using a systematic approach to strategic innovation in laboratory medicine to bring about change

References

• Dixon-Woods M, Amalberti R, Goodman S, et al. Problems and promises of innovation: why healthcare needs to rethink its love/hate relationship with the new. BMJ Qual Saf. 2011;20(Suppl 1):i47–i51.
   PubMed Web of Science ®Google Scholar
• Gorman D. On the barriers to significant innovation in and reform of healthcare. Intern Med J. 2015;45(6):597–599.
   PubMed Web of Science ®Google Scholar
• Grajewski B. 10 Barriers to healthcare innovation. The Guardian. 2015 Jan 23. p. 1–3. Available from: https://www.theguardian.com/healthcare-network/2015/jan/23/barriers-healthcare-innovation
   Google Scholar
• Herzlinger RE. Why innovation in health care is so hard. Harv Bus Rev. 2006;84(5):58–66, 156.
   PubMed Web of Science ®Google Scholar
• Omachonu VK, Einspruch NG. Innovation in healthcare delivery systems: a conceptual framework. Innov J Public Sect Innov J. 2010;15(1):2.
   Google Scholar
• Price CP, St John A. Innovation in healthcare. The challenge for laboratory medicine. Clin Chim Acta. 2014;427:71–78.
   PubMed Web of Science ®Google Scholar
• Arya SC, Hernandez JS, Dale JC, et al. Challenges and opportunities for medical directors in pathology and laboratory medicine: standardization, integration, and innovation. Am J Clin Pathol. 2010;133(5):819–820.
   PubMed Web of Science ®Google Scholar
• Bossuyt X, Verweire K, Blanckaert N. Laboratory medicine: challenges and opportunities. Clin Chem. 2007;53(10):1730–1733.
   PubMed Web of Science ®Google Scholar
• Bacher U, Shumilov E, Flach J, et al. Challenges in the introduction of next-generation sequencing (NGS) for diagnostics of myeloid malignancies into clinical routine use. Blood Cancer J. 2018;8(11):113.
   PubMedGoogle Scholar
• Genzen JR, Burnham CD, Felder RA, et al. Challenges and opportunities in implementing total laboratory automation. Clin Chem. 2018;64(2):259–264.
   PubMed Web of Science ®Google Scholar
• Rifai N, Diamandis EP, Lo YM, et al. Advancing laboratory medicine through innovation: a tale of six inventors. Clin Chem. 2012;58(3):502–510.
   PubMed Web of Science ®Google Scholar
• Rifai N, Topol E, Chan E, et al. Disruptive innovation in laboratory medicine. Clin Chem. 2015;61(9):1129–1132.
   PubMed Web of Science ®Google Scholar
• Roohi A, Faust K, Djuric U, et al. Unsupervised machine learning in pathology: the next frontier. Surg Pathol Clin. 2020;13(2):349–358.
   PubMedGoogle Scholar
• Naugler C, Church DL. Automation and artificial intelligence in the clinical laboratory. Crit Rev Clin Lab Sci. 2019;56(2):98–110.
   PubMed Web of Science ®Google Scholar
• Da Rin G, Zoppelletto M, Lippi G. Integration of diagnostic microbiology in a model of total laboratory automation. Lab Med. 2016;47(1):73–82.
   PubMed Web of Science ®Google Scholar
• Dolci A, Giavarina D, Pasqualetti S, et al. Total laboratory automation: do stat tests still matter? Clin Biochem. 2017;50(10–11):605–611.
   PubMed Web of Science ®Google Scholar
• Toouli G, Georgiou A, Westbrook J. Changes, disruption and innovation: an investigation of the introduction of new health information technology in a microbiology laboratory. J Pathol Inform. 2012;3:16.
   PubMedGoogle Scholar
• Sharma A, Badea M, Tiwari S, et al. Wearable biosensors: an alternative and practical approach in healthcare and disease monitoring. Molecules. 2021;26(3):748.
   PubMed Web of Science ®Google Scholar
• Un KC, Wong CK, Lau YM, et al. Observational study on wearable biosensors and machine learning-based remote monitoring of COVID-19 patients. Sci Rep. 2021;11(1):4388.
   PubMed Web of Science ®Google Scholar
• Horgan D, Ciliberto G, Conte P, et al. Bringing onco-innovation to Europe’s healthcare systems: the potential of biomarker testing, real world evidence, tumour agnostic therapies to empower personalised medicine. Cancers (Basel). 2021;13(3):583.
   PubMed Web of Science ®Google Scholar
• Callahan D. Health care costs and medical technology. In: Crowley M, editor. Birth to death and bench to clinic: the Hastings Center bioethics briefing book for journalists, policymakers, and campaigns. Garrison (NY): The Hastings Center; 2008. p. 79–82.
   Google Scholar
• Berner ES. Diagnostic error in medicine: implications for clinical laboratory scientists. Ann Clin Lab Sci. 2017;47(6):649–656.
   PubMed Web of Science ®Google Scholar
• Fernald D, Hamer M, James K, et al. Launching a laboratory testing process quality improvement toolkit: from the Shared Networks of Colorado Ambulatory Practices and Partners (SNOCAP). J Am Board Fam Med. 2015;28(5):576–583.
   PubMed Web of Science ®Google Scholar
• Herchline D, Rasooly IR, Bonafide C. Is that normal? A case of diagnostic error due to misinterpretation of laboratory findings. Hosp Pediatr. 2021;11:e78–e81.
   PubMedGoogle Scholar
• Jafri L, Khan AH, Ghani F, et al. Error identification in a high-volume clinical chemistry laboratory: five-year experience. Scand J Clin Lab Invest. 2015;75(4):296–300.
   PubMed Web of Science ®Google Scholar
• Jakes A, McCue E, Cracknell A. Improving mid stream urine sampling: reducing labelling error and laboratory rejection. BMJ Qual Improv Rep. 2014;3(1):u204759.w2219.
   PubMedGoogle Scholar
• Leen TK, Erdogmus D, Kazmierczak S. Statistical error detection for clinical laboratory tests. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2720–2723.
   PubMedGoogle Scholar
• Nakhleh RE, Nose V, Colasacco C, et al. Interpretive diagnostic error reduction in surgical pathology and cytology: guideline from the College of American Pathologists Pathology and Laboratory Quality Center and the Association of Directors of Anatomic and Surgical Pathology. Arch Pathol Lab Med. 2016;140(1):29–40.
   PubMed Web of Science ®Google Scholar
• Naugler C, Ma I. More than half of abnormal results from laboratory tests ordered by family physicians could be false-positive. Can Fam Physician. 2018;64(3):202–203.
   PubMed Web of Science ®Google Scholar
• Noble MA, Restelli V, Taylor A, et al. Laboratory error reporting rates can change significantly with year-over-year examination. Diagnosis (Berl). 2018;5(1):15–19.
   PubMedGoogle Scholar
• Oosterhuis WP, Bayat H, Armbruster D, et al. The use of error and uncertainty methods in the medical laboratory. Clin Chem Lab Med. 2018;56(2):209–219.
   PubMed Web of Science ®Google Scholar
• Restelli V, Taylor A, Cochrane D, et al. Medical laboratory associated errors: the 33-month experience of an on-line volunteer Canadian province wide error reporting system. Diagnosis (Berl). 2017;4(2):79–86.
   PubMedGoogle Scholar
• Scobie A. Self-reported medical, medication and laboratory error in eight countries: risk factors for chronically ill adults. Int J Qual Health Care. 2011;23(2):182–186.
   PubMed Web of Science ®Google Scholar
• Amalberti R, Benhamou D, Auroy Y, et al. Adverse events in medicine: easy to count, complicated to understand, and complex to prevent. J Biomed Inform. 2011;44(3):390–394.
   PubMed Web of Science ®Google Scholar
• Kandalam V, Lau CK, Guo M, et al. Inappropriate repeat testing of complete blood count (CBC) and electrolyte panels in inpatients from Alberta, Canada. Clin Biochem. 2020;77:32–35.
   PubMed Web of Science ®Google Scholar
• Abimiku A, Timperi R, Blattner W. Laboratory innovation towards quality program sustainability. Curr HIV/AIDS Rep. 2016;13(4):202–208.
   PubMed Web of Science ®Google Scholar
• Beastall GH. Adding value to laboratory medicine: a professional responsibility. Clin Chem Lab Med. 2013;51(1):221–227.
   PubMed Web of Science ®Google Scholar
• Church DL, Naugler C. Essential role of laboratory physicians in transformation of laboratory practice and management to a value-based patient-centric model. Crit Rev Clin Lab Sci. 2020;57(5):323–344.
   PubMed Web of Science ®Google Scholar
• Crawford JM, Shotorbani K, Sharma G, et al. Improving American Healthcare through “clinical lab 2.0”: a project Santa Fe report. Acad Pathol. 2017;4:2374289517701067.
   Web of Science ®Google Scholar
• Ducatman BS, Ducatman AM, Crawford JM, et al. The value proposition for pathologists: a population health approach. Acad Pathol. 2020;7:2374289519898857.
   Web of Science ®Google Scholar
• Gill P, Guo M, Lau CK, et al. Implementation of an educational province-wide intervention to reduce redundant vitamin B12 testing: a cross-sectional study. Clin Biochem. 2020;76:1–4.
   PubMed Web of Science ®Google Scholar
• Cecchini ML. Antimicrobial resistance in G7 countries and beyond: economic issues, policies and options for action. Paris: Organisation for Economic Co-Operation and Devleopment (OECD). 2015; p. 1–75.
   Google Scholar
• Collignon PJ, Conly JM, Andremont A, et al. World health organization ranking of antimicrobials according to their importance in human medicine: a critical step for developing risk management strategies to control antimicrobial resistance from food animal production. Clin Infect Dis. 2016;63(8):1087–1093.
   PubMed Web of Science ®Google Scholar
• Mendelson M, Matsoso MP. The World Health Organization global action plan for antimicrobial resistance. S Afr Med J. 2015;105(5):325.
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control and Prevention (CDC). National Center for Health Statistics (NCHS), United States, 2019. Table 044, 045. Hyattsville (MD): NCHS; [cited 2021 Apr 15]. Available from: https://www.cdc.gov/nchs/hus/contents2019.htm
   Google Scholar
• Cha AE, Cohen RA. Problems paying medical bills, 2018. NCHS Data Brief, no 357. Hyattsville (MD): Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS); [cited 2021 Apr 15]. Available from: https://www.cdc.gov/nchs/products/index/htm.
   Google Scholar
• Canadian Institute for Health Innovation (CIHI). National health expenditure trends 2020. Ottawa (Canada): CIHI; 2021.
   Google Scholar
• Canadian Institute for Health Innovation (CIHI). Wait times for priority procedures in Canada - data table. Ottawa (Canada): CIHI; 2021.
   Google Scholar
• Lelubre C, Anselin S, Zouaoui Boudjeltia K, et al. Interpretation of C-reactive protein concentrations in critically ill patients. Biomed Res Int. 2013;2013:124021.
   PubMed Web of Science ®Google Scholar
• Crowson CS, Rahman MU, Matteson EL. Which measure of inflammation to use? A comparison of erythrocyte sedimentation rate and C-reactive protein measurements from randomized clinical trials of golimumab in rheumatoid arthritis. J Rheumatol. 2009;36(8):1606–1610.
   PubMed Web of Science ®Google Scholar
• Yunus I, Fasih A, Wang Y. The use of procalcitonin in the determination of severity of sepsis, patient outcomes and infection characteristics. PLoS One. 2018;13(11):e0206527.
   PubMed Web of Science ®Google Scholar
• Church DL, Naugler C. Benefits and risks of standardization, harmonization and conformity to opinion in clinical laboratories. Crit Rev Clin Lab Sci. 2019;56(5):287–306.
   PubMed Web of Science ®Google Scholar
• Naugler C, Church DL. Clinical laboratory utilization management and improved healthcare performance. Crit Rev Clin Lab Sci. 2018;55(8):535–547.
   Web of Science ®Google Scholar
• Florkowski C, Don-Wauchope A, Gimenez N, et al. Point-of-care testing (POCT) and evidence-based laboratory medicine (EBLM) – does it leverage any advantage in clinical decision making? Crit Rev Clin Lab Sci. 2017;54(7–8):471–494.
   PubMed Web of Science ®Google Scholar
• Lippi G, Baird GS, Banfi G, et al. Improving quality in the preanalytical phase through innovation, on behalf of the European Federation for Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for Preanalytical Phase (WG-PRE). Clin Chem Lab Med. 2017;55(4):489–500.
   PubMed Web of Science ®Google Scholar
• Cariati F, D’Argenio V, Izquierdo R, et al. From laboratory bench to benchmark: technology transfer in laboratory medicine. Ann Transl Med. 2020;8(6):353.
   PubMed Web of Science ®Google Scholar
• Wieringa G. Teaching the pony new tricks: competences for specialists in laboratory medicine to meet the challenges of disruptive innovation. Clin Chem Lab Med. 2019;57(3):398–402.
   PubMed Web of Science ®Google Scholar
• Clearfield C, Tilcsik A. Meltdown: what plane crashes, oil spills, and dumb business decisions can teach us about how to succeed at work and home. New York (NY): Penguin Books; 2018.
   Google Scholar
• MacNeil M, Koch M, Kuspinar A, et al. Enabling health technology innovation in Canada: Barriers and facilitators in policy and regulatory processes. Health Policy. 2019;123(2):203–214.
   PubMed Web of Science ®Google Scholar
• Sinek S. Start with why: how great leaders inspire everyone to take action. New York (NY): Penguin Group Inc.; 2009.
   Google Scholar
• Keeley L, Pikkel R, Quinn B, et al. Ten types of innovation: the discipline of building breakthroughs. Hoboken (NJ): John Wiley & Sons; 2013.
   Google Scholar
• Taylor JR, Thompson PJ, Genzen JR, et al. Opportunities to enhance laboratory professionals' role on the diagnostic team. Lab Med. 2017;48(1):97–103.
   PubMed Web of Science ®Google Scholar
• Ciarametaro M, Houghton K, Wamble D, et al. The dollar or disease burden: caps on healthcare spending may save money, but at what “cost” to patients? Value Health. 2021;24(3):388–396.
   PubMed Web of Science ®Google Scholar
• Hernandez JS, Dale JC, Bennet KE, et al. Challenges and opportunities for medical directors in pathology and laboratory medicine: standardization, integration, and innovation. Am J Clin Pathol. 2010;133(1):8–13.
   PubMed Web of Science ®Google Scholar
• Pennestri F, Banfi G. Value-based healthcare: the role of laboratory medicine. Clin Chem Lab Med. 2019;57(6):798–801.
   PubMed Web of Science ®Google Scholar
• Amann J, Zanini C, Rubinelli S. What online user innovation communities can teach us about capturing the experiences of patients living with chronic health conditions. A scoping review. PLoS One. 2016;11(6):e0156175.
   PubMed Web of Science ®Google Scholar
• Bird M, McGillion M, Chambers EM, et al. A generative co-design framework for healthcare innovation: development and application of an end-user engagement framework. Res Involv Engagem. 2021;7(1):12.
   PubMedGoogle Scholar
• Rushforth A, Greenhalgh T. Personalized medicine, disruptive innovation, and “trailblazer” guidelines: case study and theorization of an unsuccessful change effort. Milbank Q. 2020;98(2):581–617.
   PubMed Web of Science ®Google Scholar
• Segarra-Oña M, Peiró-Signes Á, Verma R. Fostering innovation through stakeholders’ engagement at the healthcare industry: tapping the right key. Health Policy. 2020;124(8):895–901.
   PubMed Web of Science ®Google Scholar
• Sugarhood P, Wherton J, Procter R, et al. Technology as system innovation: a key informant interview study of the application of the diffusion of innovation model to telecare. Disabil Rehabil Assist Technol. 2014;9(1):79–87.
   PubMedGoogle Scholar
• Odeebode AA, Okesina FA. Expectations of patients towards healthcare: a case study of Nigeria and Canada. Pak J Prof Psychol Res Pract. 2017;8(1):28–45.
   Google Scholar
• Lateef F. Patient expectations and the paradigm shift of care in emergency medicine. J Emerg Trauma Shock. 2011;4(2):163–167.
   PubMedGoogle Scholar
• Kash B, McKahan M. The evolution of measuring patient satisfaction. J Prim Health Care Gen Pract. 2017;1(1):4.
   Google Scholar
• Calvert MJ, Marston E, Samuels M, et al. Advancing UK regulatory science and innovation in healthcare. J R Soc Med. 2021;114(1):5–11.
   PubMed Web of Science ®Google Scholar
• Cappellaro G, Ghislandi S, Anessi-Pessina E. Diffusion of medical technology: the role of financing. Health Policy. 2011;100(1):51–59.
   PubMed Web of Science ®Google Scholar
• Day-Duro E, Lubitsh G, Smith G. Understanding and investing in healthcare innovation and collaboration. J Health Organ Manag. 2020. DOI:https://doi.org/10.1108/JHOM-07-2019-0206
   Google Scholar
• Silver B. mHealth: emerging trends in healthcare. PWC Global; 2021 [cited 2021 Apr 13]. Available from: https://www.pwc.com/gx/en/industries/healthcare/emerging-trends-pwc-healthcare/mhealth.html
   Google Scholar
• Walters C. Changing demographics demand healthcare reforms: emerging trends in healthcare. PWC Global; 2021 [cited 2021 Apr 13]. Available from: https://www.pwc.com/gx/en/industries/healthcare/emerging-trends-pwc-healthcare/changing-demographics-healthcare-reform.html
   Google Scholar
• Walters C. Depleting resources adding pressure to healthcare: emerging trends in healthcare. PWC Global; 2021 [cited 2021 Apr 13]. Available from: https://www.pwc.com/gx/en/industries/healthcare/emerging-trends-pwc-healthcare/depleting-resources.html
   Google Scholar
• Walters C. The empowered customer: emerging trends in healthcare. PWC Global; 2021 [cited 2021 Apr 13]. Available from: https://www.pwc.com/gx/en/industries/healthcare/emerging-trends-pwc-healthcare/depleting-resources.html
   Google Scholar
• Walters C. Chronic diseases and conditions are on the rise: emerging trends in healthcare. PWC Global; 2021 [cited 2021 Apr 13]. Available from: https://www.pwc.com/gx/en/industries/healthcare/emerging-trends-pwc-healthcare/chronic-diseases.html
   Google Scholar
• Walters C. The distrusful customer: emerging trends in healthcare. PWC Global; 2021 [cited 2021 Apr 13]. Available from: https://www.pwc.com/gx/en/industries/healthcare/emerging-trends-pwc-healthcare/diy-non-traditional-healthcare.html
   Google Scholar
• United Nations, Department of Economic and Social Affairs, Population Division. World population prospects 2019. New York (NY): United Nations; 2019.
   Google Scholar
• World Health Organization (WHO), Department of Noncommunicable Diseases (NCDs) and Mental Health. Global action plan for the prevention and control of NCDs 2013–2020. 1st ed. Geneva (Switzerland): World Health Organization (WHO); 2013. p. 1–55.
   Google Scholar
• Burwell SM, Townsend FF. (Chairs). Improving pandemic preparedness. Independent Task Force Report No. 78. New York (NY): Council on Foreign Relations, Inc.; 2020. p. 1–158.
   Google Scholar
• Wang P, Kricka LJ. Current and emerging trends in point-of-Care technology and strategies for clinical validation and implementation. Clin Chem. 2018;64(10):1439–1452.
   PubMed Web of Science ®Google Scholar
• Christensen CM. The innovators dilemma: when new technologies cause great firms to fail. Boston (MA): Hravard Business Review Press; 2016.
   Google Scholar
• Macfarlane F, Barton-Sweeney C, Woodard F, et al. Achieving and sustaining profound institutional change in healthcare: case study using neo-institutional theory. Soc Sci Med. 2013;80:10–18.
   PubMed Web of Science ®Google Scholar
• Occelli P, Quenon JL, Hubert B, et al. Development of a safety culture: initial measurements at six hospitals in France. J Healthc Risk Manag. 2011;30(4):42–47.
   PubMedGoogle Scholar
• Taking the Pulse of Health Care and Politics: With more health-related topics becoming politicized, it may be hard to keep politics out of the exam room. ASH Clinical News. 2019 Sept 1. p. 1–10.
   Google Scholar
• Bambra C, Fox D, Scott-Samuel A. Towards a politics of health. Health Promot Int. 2005;20(2):187–193.
   PubMed Web of Science ®Google Scholar
• Ireland S. Revealed: Countries With The Best Health Care Systems, 2021. CEOWORLD MAGAZINE; 2021 [cited 2021 Aug 1]. Available from: https://ceoworld.biz/2021/04/27/revealed-countries-with-the-best-health-care-systems-2021/
   Google Scholar
• Canada Health Act Annual Report 2019–2020. Ottawa (Canada): Health Canada; 2021.
   Google Scholar
• Pew Research Center (PRC). U.S. Politics & Policy. Public’s 2019 priorities: economy, health care, education and security all near top of list. PRC; 2019 [cited 2021 Apr 14]. Available from: https://www.people-press.org/2019/01/24/publics-2019-priorities-economy-health-care-education-and-security-allpnear-top-of-list/
   Google Scholar
• Navarro V, Muntaner C, Borrell C, et al. Politics and health outcomes. Lancet. 2006;368(9540):1033–1037.
   PubMed Web of Science ®Google Scholar
• Rosenfarb N. The role of strategic planning in building business value: divestopedia; 2018. Available from: https://www.divestopedia.com/2/1112/pre-sale/preparation/the-role-of-strategic-planning-in-building-business-value
   Google Scholar
• Navarro V, Shi L. The political context of social inequalities and health. Int J Health Serv. 2001;31(1):1–21.
   PubMed Web of Science ®Google Scholar
• Advanced Management Solutions (AMS). Data analytics – healthcare key performance indicators and metrics. London (Canada); 2021. Available from: https://www.amsol.ca/healthcare-key-performance-indicators-and.-metrics
   Google Scholar
• Sibbald B. CMA okays private health care for waiting patients. CMAJ. 2005;173(6):585.
   Web of Science ®Google Scholar
• Bartsch SM, Ferguson MC, McKinnell JA, et al. The potential health care costs and resource use associated with COVID-19 in the United States. Health Aff (Millwood). 2020;39(6):927–935.
   PubMed Web of Science ®Google Scholar
• Trenti T. An evidence-based laboratory medicine approach to evaluate new laboratory tests. EJIFCC. 2018;29(4):259–263.
   PubMedGoogle Scholar
• Guerrero-Fernandez de Alba I, Orlando V, Monetti VM, et al. Comorbidity in an older population with type-2 diabetes mellitus: identification of the characteristics and healthcare utilization of high-cost patients. Front Pharmacol. 2020;11:586187.
   PubMed Web of Science ®Google Scholar
• US Centers for Medicare and Medicaid Services (CMS). Clinical Laboratory Fee Schedule Files. CSM, editor. Baltimore (MA): CMS; 2021. Available from: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/ClinicalLabFeeSched/Clinical-Laboratory-Fee-Schedule-Files
   Google Scholar
• Esmail ED. Medical technology in Canada. Vancouver (Canada): Fraser Institute; 2008. p. 1–101.
   Google Scholar
• Feulefack J, Sergi C. R&D implementation in a department of laboratory medicine and pathology: a systematic review based on pharmaceutical companies. Glob J Health Sci. 2015;7(4):70–82.
   PubMedGoogle Scholar
• Lewis G. An objective approach to selecting a referral laboratory. MLO Med Lab Obs. 2010;42:32, 34–36.
   Google Scholar
• Hendriksen JM, Geersing GJ, van Voorthuizen SC, et al. The cost-effectiveness of point-of-care D-dimer tests compared with a laboratory test to rule out deep venous thrombosis in primary care. Expert Rev Mol Diagn. 2015;15(1):125–136.
   PubMed Web of Science ®Google Scholar
• Hernandez JS. Cost-effectiveness of laboratory testing. Arch Pathol Lab Med. 2003;127(4):440–445.
   PubMed Web of Science ®Google Scholar
• Johnson K, Suriyaarachchi P, Kakkat M, et al. Yield and cost-effectiveness of laboratory testing to identify metabolic contributors to falls and fractures in older persons. Arch Osteoporos. 2015;10:226.
   PubMed Web of Science ®Google Scholar
• Kip MM, Schop A, Stouten K, et al. Assessing the cost-effectiveness of a routine versus an extensive laboratory work-up in the diagnosis of anaemia in Dutch general practice. Ann Clin Biochem. 2018;55(6):630–638.
   PubMed Web of Science ®Google Scholar
• Ouattara EN, Robine M, Eholie SP, et al. Laboratory monitoring of antiretroviral therapy for HIV infection: cost-effectiveness and budget impact of current and novel strategies. Clin Infect Dis. 2016;62(11):1454–1462.
   PubMed Web of Science ®Google Scholar
• Pandya A, Weinstein MC, Salomon JA, et al. Who needs laboratories and who needs statins?: comparative and cost-effectiveness analyses of non-laboratory-based, laboratory-based, and staged primary cardiovascular disease screening guidelines. Circ Cardiovasc Qual Outcomes. 2014;7(1):25–32.
   PubMed Web of Science ®Google Scholar
• Schechner V, Carmeli Y, Leshno M. A mathematical model of Clostridium difficile transmission in medical wards and a cost-effectiveness analysis comparing different strategies for laboratory diagnosis and patient isolation. PLoS One. 2017;12(2):e0171327.
   PubMed Web of Science ®Google Scholar
• Tan KE, Ellis BC, Lee R, et al. Prospective evaluation of a matrix-assisted laser desorption ionization-time of flight mass spectrometry system in a hospital clinical microbiology laboratory for identification of bacteria and yeasts: a bench-by-bench study for assessing the impact on time to identification and cost-effectiveness. J Clin Microbiol. 2012;50(10):3301–3308.
   PubMed Web of Science ®Google Scholar
• Aggarwal D, Kanitkar T, Narouz M, et al. Clinical utility and cost-effectiveness of bacterial 16S rRNA and targeted PCR based diagnostic testing in a UK microbiology laboratory network. Sci Rep. 2020;10(1):7965.
   PubMed Web of Science ®Google Scholar
• Asha SE, Chan AC, Walter E, et al. Impact from point-of-care devices on emergency department patient processing times compared with Central laboratory testing of blood samples: a randomised controlled trial and cost-effectiveness analysis. Emerg Med J. 2014;31(9):714–719.
   PubMed Web of Science ®Google Scholar
• May C. Agency and implementation: understanding the embedding of healthcare innovations in practice. Soc Sci Med. 2013;78:26–33.
   PubMed Web of Science ®Google Scholar
• Wright JR, Jr. When pathology and laboratory medicine becomes a commodity and health care becomes both its customer and owner. Acad Pathol. 2018;5:2374289518785373.
   Web of Science ®Google Scholar
• Owens PL. COVID-19-related hospitalizations in nine states, by race/ethnicity, 2020: statistical brief #272. Rockville (MD): Healthcare Cost and Utilization Project (HCUP) Statistical Briefs; 2006.
   Google Scholar
• Galford RM, Frisch B, Greene C. Simple sabotage: a modern field manual for detecting & rooting out everyday behaviours that undermine your workplace. New York (NY): Harper Collins; 2015.
   Google Scholar
• Morone JA. The health care bureaucracy: small changes, big consequences. J Health Polit Policy Law. 1993;18(3 Pt 2):723–739.
   PubMed Web of Science ®Google Scholar
• Rogers EM. Diffusion of innovations. 5th ed. New York (NY): Free Press; 2003.
   Google Scholar
• Haden J. When Jeff Bezo’s 2-Pizza Teams Fell Short, He turnes to the Brilliant Model Amazon Uses Today. Inc. 2021. Available from: https://www.inc.com/jeff-haden/when-jeff-bezoss-two-pizza-teams-fell-short-he-turned-to-brilliant-model-amazon-uses-today.html.
   Google Scholar
• Cannon J, Cannon J. Leadership lessons of the navy seals: battle-tested strategies for crating sucessful organizations and inspiring extraordinary results. New York (NY): McGraw-Hill; 2003.
   Google Scholar
• Lublin JS. Smaller boards get bigger returns. The Wall Street Journal. 2014. Available from: https://www.wsj.com/articles/smaller-boards-get-bigger-returns-1409078629.
   Google Scholar
• Wright JR, Jr. The American College of Surgeons, minimum standards for hospitals, and the provision of high-quality laboratory services. Arch Pathol Lab Med. 2017;141(5):704–717.
   PubMed Web of Science ®Google Scholar
• Palanica A, Fossat Y. COVID-19 has inspired global healthcare innovation. Can J Public Health. 2020;111(5):645–648.
   PubMed Web of Science ®Google Scholar
• Bayefsky M, Berkman BE. FDA’s proposed guidance for laboratory developed tests: how should regulators balance the risks and promise of innovation in clinical genetics? FDAs Food Drug Policy Forum. 2015;5(2):1–7.
   Google Scholar
• Genzen JR, Mohlman JS, Lynch JL, et al. Laboratory-developed tests: a legislative and regulatory review. Clin Chem. 2017;63(10):1575–1584.
   PubMed Web of Science ®Google Scholar
• Desveaux L, Soobiah C, Bhatia RS, et al. Identifying and overcoming policy-level barriers to the implementation of digital health innovation: qualitative study. J Med Internet Res. 2019;21(12):e14994.
   PubMed Web of Science ®Google Scholar
• Ioannidis JP, Greenland S, Hlatky MA, et al. Increasing value and reducing waste in research design, conduct, and analysis. Lancet. 2014;383(9912):166–175.
   PubMed Web of Science ®Google Scholar
• Minogue V, Cooke M, Donskoy AL, et al. Patient and public involvement in reducing health and care research waste. Res Involv Engagem. 2018;4:5.
   PubMedGoogle Scholar
• Bailie J, Laycock AF, Peiris D, et al. Using developmental evaluation to enhance continuous reflection, learning and adaptation of an innovation platform in Australian Indigenous primary healthcare. Health Res Policy Syst. 2020;18(1):45.
   PubMed Web of Science ®Google Scholar
• Greenhalgh T, Wherton J, Shaw S, et al. Infrastructure revisited: an ethnographic case study of how health information infrastructure shapes and constrains technological innovation. J Med Internet Res. 2019;21(12):e16093.
   PubMed Web of Science ®Google Scholar
• Mulberg AE, Bucci-Rechtweg C, Giuliano J, et al. Regulatory strategies for rare diseases under current global regulatory statutes: a discussion with stakeholders. Orphanet J Rare Dis. 2019;14(1):36.
   PubMedGoogle Scholar
• Al-Shahi Salman R, Beller E, Kagan J, et al. Increasing value and reducing waste in biomedical research regulation and management. Lancet. 2014;383(9912):176–185.
   PubMed Web of Science ®Google Scholar
• Brown T. Change by design: how design thinking transforms organizations and inspires innovation. New York (NY): HarperCollins; 2009.
   Google Scholar
• Mootee I. Design thinking for strategic innovation: what they can’t teach you at business or design school. Hobeken (NJ): Wiley; 2013.
   Google Scholar
• US Federal Drug Administration (FDA). Laboratory flexible funding model cooperative agreement program. FDA; 2021. Available from: https://www.fda.gov/federal-state-local-tribal-and-territorial-officials/grants-and-cooperative-agreements/laboratory-flexible-funding-model-cooperative-agreement-program.
   Google Scholar
• Lazzari MA. Developing a standard protocol for the introduction of new testing into a clinical laboratory. Lab Med. 2009;40(7):389–393.
   Google Scholar
• Ma I, Lau CK, Ramdas Z, et al. Estimated costs of 51 commonly ordered laboratory tests in Canada. Clin Biochem. 2019;65:58–60.
   PubMed Web of Science ®Google Scholar
• Ma I, Guo M, Lau CK, et al. Test volume data for 51 most commonly ordered laboratory tests in Calgary, Alberta, Canada. Data Brief. 2019;23:103748.
   PubMed Web of Science ®Google Scholar
• Salinas M, Lopez-Garrigos M, Flores E, et al. Large-scale analysis evaluating regional variability in the request of laboratory tests in primary care and its potential economic impact. Lab Med. 2017;48(3):271–276.
   PubMed Web of Science ®Google Scholar
• Church DL, Hall P. Centralization of a regional clinical microbiology service: the Calgary experience. Can J Infect Dis. 1999;10(6):393–402.
   PubMedGoogle Scholar
• Vandenberg O, Durand G, Hallin M, et al. Consolidation of clinical microbiology laboratories and introduction of transformative technologies. Clin Microbiol Rev. 2020;33(2):e00057-19.
   PubMed Web of Science ®Google Scholar
• Narula A, Yadav SK, Jahan A, et al. Pre-analytical error in a hematology laboratory: an avoidable cause of compromised quality in reporting. Clin Chem Lab Med. 2019;57(10):e262–e264.
   PubMed Web of Science ®Google Scholar
• Patel S, Nanda R, Sahoo S, et al. Congruity in quality indicators and laboratory performance. Indian J Clin Biochem. 2018;33(3):341–347.
   PubMed Web of Science ®Google Scholar
• Chandler WL, Brown AF, Chen D, et al. External quality assurance of platelet function assays: results of the College of American Pathologists Proficiency Testing Program. Arch Pathol Lab Med. 2019;143(4):472–482.
   PubMed Web of Science ®Google Scholar
• Crothers BA, Booth CN, Darragh TM, et al. False-positive Papanicolaou (PAP) test rates in the College of American Pathologists PAP education and PAP proficiency test programs: evaluation of false-positive responses of high-grade squamous intraepithelial lesion or cancer to a negative reference diagnosis. Arch Pathol Lab Med. 2014;138(5):613–619.
   PubMed Web of Science ®Google Scholar
• Karlon WJ, Naides SJ, Crosson JT, et al. Variability in testing for antineutrophil cytoplasmic antibodies: a survey of participants in the college of American Pathologists Proficiency Testing Program. Arch Pathol Lab Med. 2016;140(6):524–528.
   PubMedGoogle Scholar
• Keeney M, Halley JG, Rhoads DD, et al. Marked variability in reported minimal residual disease lower level of detection of 4 hematolymphoid neoplasms: a survey of participants in the college of American pathologists flow cytometry proficiency testing program. Arch Pathol Lab Med. 2015;139(10):1276–1280.
   PubMed Web of Science ®Google Scholar
• Moncur JT, Bartley AN, Bridge JA, et al. Performance comparison of different analytic methods in proficiency testing for mutations in the BRAF, EGFR, and KRAS genes: a study of the college of American Pathologists Molecular Oncology Committee. Arch Pathol Lab Med. 2019;143(10):1203–1211.
   PubMed Web of Science ®Google Scholar
• Rhoads DD, Genzen JR, Bashleben CP, et al. Prevalence of traditional and reverse-algorithm syphilis screening in laboratory practice: a survey of participants in the college of American pathologists syphilis serology proficiency testing program. Arch Pathol Lab Med. 2017;141(1):93–97.
   PubMed Web of Science ®Google Scholar
• Zhao C, Crothers BA, Ghofrani M, et al. Misinterpretation rates of high-grade squamous intraepithelial lesion in the college of american pathologists gynecologic PAP education and PAP proficiency test program. Arch Pathol Lab Med. 2016;140(11):1221–1224.
   PubMed Web of Science ®Google Scholar
• Brack AP, Guo M, Ma I, et al. Use of the mean abnormal result rate (MARR) to gauge changes in family physicians’ selectivity of laboratory test ordering, 2010–2015. Am J Clin Pathol. 2017;148(5):436–440.
   PubMed Web of Science ®Google Scholar
• Buse JD, Donovan LE, Naugler CT, et al. Intervention to reduce unnecessary glucose tolerance testing in pregnant women. J Appl Lab Med. 2018;3(3):418–428.
   PubMedGoogle Scholar
• Delvaux N, Piessens V, Burghgraeve T, et al. Clinical decision support improves the appropriateness of laboratory test ordering in primary care without increasing diagnostic error: the ELMO cluster randomized trial. Implement Sci. 2020;15(1):100.
   PubMed Web of Science ®Google Scholar
• Ma I, Guo M, Pillai DR, et al. Is the utilization of Helicobacter pylori stool antigen tests appropriate in an urban Canadian population? Am J Clin Pathol. 2020;153(5):686–694.
   PubMed Web of Science ®Google Scholar
• Jones GRD, Legg M. Report formatting in laboratory medicine - a call for harmony. Clin Chem Lab Med. 2018;57(1):61–65.
   PubMed Web of Science ®Google Scholar
• Palanivel H, Nair S, Subramaniyan A, et al. Dengue virus infection: need for appropriate laboratory tests for diagnosis and management of the condition in children during an outbreak. Indian J Pathol Microbiol. 2015;58(3):328–331.
   PubMed Web of Science ®Google Scholar
• Passiment E, Meisel JL, Fontanesi J, et al. Decoding laboratory test names: a major challenge to appropriate patient care. J Gen Intern Med. 2013;28(3):453–458.
   PubMed Web of Science ®Google Scholar
• Barrett BJ, Randell EW, Mariathas HH, et al. The effect of laboratory requisition modification, audit and feedback with academic detailing or both on utilization of blood urea testing in family practice in Newfoundland, Canada. Clin Biochem. 2020;83:21–27.
   PubMed Web of Science ®Google Scholar
• Rudolf JW, Baron JM, Dighe AS. Order indication solicitation to assess clinical laboratory test utilization: D-dimer order patterns as an illustrative case. J Pathol Inform. 2019;10:36.
   PubMedGoogle Scholar
• Mohammed-Ali Z, Bhandarkar S, Tahir S, et al. Implementing effective test utilization via team-based evaluation and revision of a family medicine laboratory test requisition. BMJ Open Qual. 2021;10(1):e001219.
   PubMedGoogle Scholar
• Arora A. Conceptualising artificial intelligence as a digital healthcare innovation: an introductory review. Med Devices (Auckl). 2020;13:223–230.
   PubMedGoogle Scholar
• Pham Q, Shaw J, Morita PP, et al. The service of research analytics to optimize digital health evidence generation: multilevel case study. J Med Internet Res. 2019;21(11):e14849.
   PubMed Web of Science ®Google Scholar
• Gurevitch D. Robotics in the laboratory: where we have been and where we are going. MLO Med Lab Obs. 2007;39(11):34.
   PubMedGoogle Scholar
• Wheeler MJ. Overview on robotics in the laboratory. Ann Clin Biochem. 2007;44(Pt 3):209–218.
   PubMedGoogle Scholar
• Caputo A, D’Antonio A. Digital pathology: the future is now. Indian J Pathol Microbiol. 2021;64(1):6–7.
   PubMed Web of Science ®Google Scholar
• Humphries MP, Maxwell P, Salto-Tellez M. QuPath: the global impact of an open source digital pathology system. Comput Struct Biotechnol J. 2021;19:852–859.
   PubMed Web of Science ®Google Scholar
• Landaas EJ, Baird GS, Hansen RN, et al. Integrating formal technology assessment into an integrated healthcare delivery system: smart innovation. Int J Technol Assess Health Care. 2020;36(1):58–63.
   PubMed Web of Science ®Google Scholar
• Alekseyenko AV, Hamidi B, Faith TD, et al. Each patient is a research biorepository: informatics-enabled research on surplus clinical specimens via the living BioBank. J Am Med Inform Assoc. 2021;28(1):138–143.
   PubMed Web of Science ®Google Scholar
• Kumar A. Virtual global biorepository: access for all to speed-up result-oriented research. Cell Tissue Bank. 2020;21(3):361–365.
   PubMed Web of Science ®Google Scholar
• Nansumba H, Ssewanyana I, Tai M, et al. Role of a regulatory and governance framework in human biological materials and data sharing in National Biobanks: Case studies from Biobank Integrating Platform, Taiwan and the National Biorepository, Uganda. Wellcome Open Res. 2019;4:171.
   PubMedGoogle Scholar
• Vasquez C, Kolinsky M, Djebah R, et al. Cohort profile: the Alberta Prostate Cancer Research Initiative (APCaRI) Registry and Biorepository facilitates technology translation to the clinic through the use of linked, longitudinal clinical and patient-reported data and biospecimens from men in Alberta, Canada. BMJ Open. 2020;10(10):e037222.
   PubMed Web of Science ®Google Scholar
• Bahcall S. Loonshots: how to nurture the crazy idease that win wars, cure diseases, and transform industries. New York (NY): St. Martens; 2019.
   Google Scholar
• Barsh JC, Capozzi MM, Davidson J. Leadershsip and innovation. Seattle (WA): The McKinsey Quarterly; 2006.
   Google Scholar
• Scotchmer S. Innovation and incentives. Boston (MA): The MIT Press; 2006.
   Google Scholar
• Lou AH, Elnenaei MO, Sadek I, et al. Multiple pre- and post-analytical lean approaches to the improvement of the laboratory turnaround time in a large core laboratory. Clin Biochem. 2017;50(15):864–869.
   PubMed Web of Science ®Google Scholar
• Damato C, Rickard D. Using Lean-Six sigma to reduce hemolysis in the emergency care center in a collaborative quality improvement project with the hospital laboratory. Jt Comm J Qual Patient Saf. 2015;41(3):99–107.
   PubMedGoogle Scholar
• Dundas NE, Ziadie MS, Revell PA, et al. A lean laboratory: operational simplicity and cost effectiveness of the Luminex xTAG™ respiratory viral panel. J Mol Diagn. 2011;13(2):175–179.
   PubMed Web of Science ®Google Scholar
• Gupta S, Kapil S, Sharma M. Improvement of laboratory turnaround time using lean methodology. Int J Health Care Qual Assur. 2018;31(4):295–308.
   PubMed Web of Science ®Google Scholar
• Inal TC, Goruroglu Ozturk O, Kibar F, et al. Lean six sigma methodologies improve clinical laboratory efficiency and reduce turnaround times. J Clin Lab Anal. 2018;32(1):e22180.
   Web of Science ®Google Scholar
• Letelier P, Guzman N, Medina G, et al. Workflow optimization in a clinical laboratory using lean management principles in the pre-analytical phase. J Med Biochemistry. 2021;40(1):26–32.
   PubMed Web of Science ®Google Scholar
• Morales-Contreras MF, Chana-Valero P, Suarez-Barraza MF, et al. Applying lean in process innovation in healthcare: the case of hip fracture. Int J Environ Res Public Health. 2020;17(15):5273.
   Web of Science ®Google Scholar
• Sugianto JZ, Stewart B, Ambruzs JM, et al. Applying the principles of lean production to gastrointestinal biopsy handling: from the factory floor to the anatomic pathology laboratory. Lab Med. 2015;46(3):259–264.
   PubMedGoogle Scholar
• Thibert JB, Le Vacon F, Danic B. Lean management and medical laboratory: application in transfusionnal immuno-hematology. Ann Biol Clin (Paris). 2017;75(5):542–548.
   PubMed Web of Science ®Google Scholar
• White BA, Baron JM, Dighe AS, et al. Applying Lean methodologies reduces ED laboratory turnaround times. Am J Emerg Med. 2015;33(11):1572–1576.
   PubMed Web of Science ®Google Scholar
• Scott GD, Osborne TF, Gross SP, et al. Value-based intervention with hospital and pathology laboratory informatics: a case of analytics and outreach at the veterans affairs. J Pathol Inform. 2020;11:8.
   PubMedGoogle Scholar
• Shirts BH, Jackson BR, Baird GS, et al. Clinical laboratory analytics: challenges and promise for an emerging discipline. J Pathol Inform. 2015;6:9.
   PubMedGoogle Scholar
• Joseph T, Bickley T, Ziagura K. Using laboratory analytics to manage quality assurance and reduce errors in the laboratory. MLO Med Lab Obs. 2016 May;48(5):38.
   PubMedGoogle Scholar
• Durant TJS, Peaper DR, Ferguson D, et al. Impact of COVID-19 pandemic on laboratory utilization. J Appl Lab Med. 2020;5(6):1194–1205.
   PubMedGoogle Scholar
• Kruger EC, Banderker R, Erasmus RT, et al. The impact of COVID-19 on routine patient care from a laboratory perspective. S Afr Med J. 2020;110(12):1201–1205.
   PubMed Web of Science ®Google Scholar
• Virk RK, Wood T, Tiscornia-Wasserman PG. Impact of COVID-19 pandemic on functioning of cytopathology laboratory: experience and perspective from an academic Centre in New York. Cytopathology. 2021;32(3):304–311.
   PubMed Web of Science ®Google Scholar
• Agrawal R. COVID-19 and its impact on laboratory services. Indian J Pathol Microbiol. 2021;64(1):1–2.
   PubMed Web of Science ®Google Scholar
• Nikolayevskyy V, Holicka Y, van Soolingen D, et al. Impact of the COVID-19 pandemic on tuberculosis laboratory services in Europe. Eur Respir J. 2021;57(1):2003890.
   PubMed Web of Science ®Google Scholar
• Schlein L. WHO: equitable access to health care needed in Post-COVID world. Washington (DC): VOA News. 2021.
   Google Scholar
• Shapiro DJ, Lindgren CE, Neuman MI, et al. Viral features and testing for streptococcal pharyngitis. Pediatrics. 2017;139(5):e20163403.
   PubMed Web of Science ®Google Scholar
• Lewnard JA, King LM, Fleming-Dutra KE, et al. Incidence of pharyngitis, sinusitis, acute otitis media, and outpatient antibiotic prescribing preventable by vaccination against group a Streptococcus in the United States. Clin Infect Dis. 2021;73:e47–e58.
   PubMed Web of Science ®Google Scholar
• Sayyahfar S, Fahimzad A, Naddaf A, et al. Antibiotic susceptibility evaluation of group a Streptococcus isolated from children with pharyngitis: a study from Iran. Infect Chemother. 2015;47(4):225–230.
   PubMedGoogle Scholar
• Essack S, Bell J, Burgoyne D, et al. Point-of-care testing for pharyngitis in the pharmacy. Antibiotics (Basel). 2020;9(11):743.
   Web of Science ®Google Scholar
• Klepser DG, Klepser ME, Smith JK, et al. Utilization of influenza and streptococcal pharyngitis point-of-care testing in the community pharmacy practice setting. Res Social Adm Pharm. 2018;14(4):356–359.
   PubMed Web of Science ®Google Scholar
• Sciacovelli L, Lippi G, Sumarac Z, et al. Pre-analytical quality indicators in laboratory medicine: performance of laboratories participating in the IFCC working group “Laboratory Errors and Patient Safety”: project. Clin Chim Acta. 2019;497:35–40.
   PubMed Web of Science ®Google Scholar
• West DR, James KA, Fernald DH, et al. Laboratory medicine handoff gaps experienced by primary care practices: a report from the shared networks of collaborative ambulatory practices and partners (SNOCAP). J Am Board Fam Med. 2014;27(6):796–803.
   PubMed Web of Science ®Google Scholar
• Plebani M. Quality indicators to detect pre-analytical errors in laboratory testing. Clin Biochem Rev. 2012;33(3):85–88.
   PubMedGoogle Scholar
• Doshi AM, Somberg M, Rosenkrantz AB. Factors influencing patients’ perspectives of radiology imaging centers: evaluation using an online social media ratings website. J Am Coll Radiol. 2016;13(2):210–216.
   PubMed Web of Science ®Google Scholar
• Bhatti Y, del Castillo J, Olson K, et al. Putting humans at the center of health care innovation. Harv Bus Rev. 2018;1–9.
   Google Scholar
• Robinson S, Reed M, Quevillon T, et al. Patient perceptions and interactions with their web portal-based laboratory results. BMJ Health Care Inform. 2019;26(1):0.
   PubMedGoogle Scholar
• Talboom-Kamp E, Tossaint-Schoenmakers R, Goedhart A, et al. Patients’ attitudes toward an online patient portal for communicating laboratory test results: real-world study using the eHealth impact questionnaire. JMIR Form Res. 2020;4(3):e17060.
   PubMedGoogle Scholar
• Wakefield BJ, Turvey C, Hogan T, et al. Impact of patient portal use on duplicate laboratory tests in diabetes management. Telemed J E Health. 2020;26(10):1211–1220.
   PubMed Web of Science ®Google Scholar
• Song YE, Kang H, Park H. Algorithm to estimate the extended turnaround time including outpatient waiting time for blood specimen collection when a stand-alone queue ticket system not connectable to laboratory information system is used. Ann Clin Lab Sci. 2018;48(6):726–735.
   PubMed Web of Science ®Google Scholar
• Amukele TK, Sokoll LJ, Pepper D, et al. Can unmanned aerial systems (drones) be used for the routine transport of chemistry, hematology, and coagulation laboratory specimens? PLoS One. 2015;10(7):e0134020.
   PubMed Web of Science ®Google Scholar
• Andiric LR, Chavez LA, Johnson M, et al. Strengthening laboratory management toward accreditation, a model program for pathology laboratory improvement. Clin Lab Med. 2018;38(1):131–140.
   PubMed Web of Science ®Google Scholar
• Antonelli G, Sciacovelli L, Aita A, et al. Validation model of a laboratory-developed method for the ISO15189 accreditation: the example of salivary cortisol determination. Clin Chim Acta. 2018;485:224–228.
   PubMed Web of Science ®Google Scholar
• Okezue MA, Adeyeye MC, Byrn SJ, et al. Impact of ISO/IEC 17025 laboratory accreditation in Sub-Saharan Africa: a case study. BMC Health Serv Res. 2020;20(1):1065.
   PubMed Web of Science ®Google Scholar
• Rose GA, Johnson TV. Laboratory accreditation: why this quality matter matters. J Am Soc Echocardiogr. 2017;30(9):923–925.
   PubMed Web of Science ®Google Scholar
• Shpilsky D, Harinstein ME. Evaluation of the impact of laboratory accreditation on downstream outcomes. J Nucl Cardiol. 2020;28(6):2962–2964.
   PubMed Web of Science ®Google Scholar
• Christensen PA, Olsen RJ, Perez KK, et al. Real-time communication with health care providers through an online respiratory pathogen laboratory report. Open Forum Infect Dis. 2018;5(12):ofy322.
   PubMed Web of Science ®Google Scholar
• Clavijo A, Fallaw D, Coule P, et al. Communication of critical laboratory values: optimization of the process through secure messaging. Lab Med. 2020;51(1):e6–e11.
   PubMed Web of Science ®Google Scholar
• Datta SK, Pavani C. Active communication between laboratory physicians and clinicians: Need of the hour to improve patient outcomes. J Lab Physicians. 2019;11(2):174–175.
   PubMed Web of Science ®Google Scholar
• Bratan T, Stramer K, Greenhalgh T. ‘Never heard of it’- understanding the public’s lack of awareness of a new electronic patient record. Health Expect. 2010;13(4):379–391.
   PubMed Web of Science ®Google Scholar
• Hwang TJ, Lehmann LS, Kesselheim AS. Precision medicine and the FDA’s draft guidance on laboratory-developed tests. Nat Biotechnol. 2015;33(5):449–451.
   PubMed Web of Science ®Google Scholar
• Arney KR, Hopper MH, Tran SA, et al. Quest for quality: department of laboratory medicine and pathology, Mayo clinic. Clin Leadersh Manag Rev. 200418(6):361–363.
   PubMedGoogle Scholar
• Mayo Clinic. Mayo Clinic Center for Innovation 2021 [cited 2021 Apr 15]. Available from: http://centerforinnovation.mayo.edu/what-we-do/
   Google Scholar
• Israel Sheba Medical Center. ARC Innovation Center 2021. Available from: https://arc.sheba.co.il/
   Google Scholar
• Smith B. CMS innovation center at 10 years – progress and lessons learned. N Engl J Med. 2021;384(8):759–764.
   PubMed Web of Science ®Google Scholar
• Voelker R. New center at FDA will advance digital health innovation. JAMA. 2020;324(17):1715.
   Web of Science ®Google Scholar
• Reddy A, Fihn SD, Liao JM. The VA MISSION Act - creating a center for innovation within the VA. N Engl J Med. 2019;380(17):1592–1594.
   PubMed Web of Science ®Google Scholar
• Rotenstein LS, Wickner P, Hauser L, et al. An academic medical center-based incubator to promote clinical innovation and financial value. Jt Comm J Qual Patient Saf. 2019;45(4):259–267.
   PubMed Web of Science ®Google Scholar
• Siefert AL, Cartiera MS, Khalid AN, et al. The Yale Center for Biomedical Innovation and Technology (CBIT): one model to accelerate impact from academic health care innovation. Acad Med. 2019;94(4):528–534.
   PubMed Web of Science ®Google Scholar
• Razak AA, White GRT. The triple helix model for innovation: a holistic exploration of barriers and enablers. IJBPSCM. 2015;7(3):278–291.
   Google Scholar
• Giacomini KM, Lin L, Altman RB. Research projects supported by the University of California, san Francisco-Stanford center of excellence in regulatory science and innovation. Clin Pharmacol Ther. 2019;105(4):815–818.
   PubMed Web of Science ®Google Scholar
• Qoronfleh MW, Chouchane L, Mifsud B, et al. The FUTURE oF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar. Life Sci Soc Policy. 2020;16(1):12.
   PubMed Web of Science ®Google Scholar
• Mayo Clinic. The SPARC Lab 2008. Available from: https://www.fastcompany.com/magazine/104/sparc.html
   Google Scholar
• Massachusetts General Hospital (MGH). CAMTech 2021 [cited 2021 Apr 15]. Available from: https://camtech.mgh.harvard.edu/
   Google Scholar
• Helix N. Newcastle Helix: a global hub for COVID-19 innovations and solutions. [2020 Aug 5]. Available from: https://newcastlehelix.com/news/newcastle-helix-a-global-hub-for-covid-19-innovations-and-solutions
   Google Scholar