Рассмотрена доказательная база эффективности основных видов медицинских информационных технологий (электронных систем врачебных назначений, поддержки принятия решений, контроля за введением лекарств, телемедицины и телемониторинга, отчетности об инцидентах и электронных медицинских карт) в повышении безопасности медицинской помощи, а также потенциальных негативных последствий внедрения этих технологий. Сделан вывод о том, что наиболее убедительные доказательства эффективности в обеспечении безопасности пациентов, снижении риска медицинских ошибок и частоты неблагоприятных событий, связанных с оказанием медицинской помощи, имеют системы поддержки принятия решений и технологии, включающие элементы поддержки принятия решений: электронные врачебные назначения, физиологический телемониторинг.
Литература
1. WHO Guideline: recommendations on digital interventions for health system strengthening. – Geneva: WHO, 2019. – 124 p. https: //www.who.int/reproductivehealth/publications/digital-interventions-health-system-strengthening/en
2. Slawomirski L., Auraaen A., Klazinga N. The economics of patient safety: Strengthening a value-based approach to reducing patient harm at national level: OECD Health Working Papers, № 96. – Paris: OECD Publ., 2017. – 63 р. http://dx.doi.org/10.1787/5a9858cd-en
3. Singh H., Sittig D. F. Measuring and improving patient safety through health information technology: The Health IT Safety Framework //BMJ Qual Saf. – 2016. – Vol. 25. – P. 226–232.
4. Health IT and patient safety: building safer systems for better care /Institute of Medicine. – Washington: The National Academies Press, 2012. – 234 р.
5. Lisby M., Nielsen L. P., Mainz J. Errors in the medication process: frequency, type, and potential clinical consequences //Int J Qual Health Care. – 2005. – Vol. 17. – № 1. – P. 15–22.
6. Salmasi S., Khan T.M., Hong Y.H., Ming L.C., Wong T.W. Medication errors in the Southeast Asian countries: a systematic review // PLoS One. – 2015. – Vol. 10. – № 9. – P.e0136545.
7. Nuckols T.K., Smith-Spangler C., Morton S.C., Asch S.M., Patel V.M., Anderson L.J. et al. The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis //Syst Rev. – 2014. – Vol. 3. – P. 56.
8. Roumeliotis N., Sniderman J., Adams-Webber T., Addo N., Anand V., Rochon P. et al. Effect of electronic prescribing strategies on medication error and harm in hospital: a systematic review and meta-analysis //Gen Intern Med. – 2019. – Vol. 34. – № 10. – P. 2210–2223.
9. Prgomet M., Li L., Niazkhani Z., Georgiou A., Westbrook J. I. Impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay, and mortality in intensive care units: a systematic review and meta-analysis //JAMIA. – Vol. 24. – № 2. – P. 413–422.
10. Kaushal R., Kern L.M., Barrón Y., Quaresimo J., Abramson E.L. Electronic prescribing improves medication safety in community-based office practices //J Gen Intern Med. – 2010. – Vol. 25. – № 6. – P. 530–6.
11. Devine E.B., Hansen R.N., Wilson-Norton J.L., Lawless N.M., Fisk A.W., Blough D.K. et al. The impact of computerized provider order entry on medication errors in a multi specialty group practice //JAMIA. – 2010. – Vol. 17. – P. 78–84.
12. Dainty K.N., Adhikari NK.J., Kiss A., Quan S., Zwarenstein M. Electronic prescribing in an ambulatory care setting: a cluster randomized trial //J Eval Clin Pract. – 2012. – Vol. 18. – P. 761–767.
13. Noblet T., Marriott J., Graham-Clarke E., Shirley D., Rushton A. Clinical and cost-effectiveness of non-medical prescribing: A systematic review of randomised controlled trials //PLoS ONE. – 2018. – Vol. 13. – № 3. – P.e0193286.
14. Ahmed Z., Barber N., Jani Y., Garfield S., Franklin B.D. Economic impact of electronic prescribing in the hospital setting: A systematic review //Int J Med Inform. – 2016. – Vol. 88. – P. 1–7.
15. Black A.D., Car J., Pagliari C. et al. The impact of eHealth on the quality and safety of health care: a systematic overview //PLoS Med. – 2011. – Vol. 8. – P.e1000387.
16. Westbrook J.I., Baysari M.T., Li L., Burke R., Richardson K.L., Day R.O. The safety of electronic prescribing: manifestations, mechanisms, and rates of system-related errors associated with two commercial systems in hospitals //JAMIA. – 2013. – Vol. 20. – № 6. – P. 1159–67.
17. American Hospital Association. Improving patient safety and health care quality through health information technology: Trendwatch Issue Brief 3, 2018. https: //www.aha.org/system/files/2018–07/18–07- trendwatch-issue-brief3-patient-safety-quality-health-it.pdf
18. Osheroff J.A., Pifer E.A., Teich J.M. et al. Improving outcomes with clinical decision support: an implementer’s guide. – Boca Raton: Productivity Press, 2005.
19. Brenner S.K., Kaushal R., Grinspan Z., Joyce C., Kim I., Allard R.J. et al. Effects of health information technology on patient outcomes: a systematic review //JAMIA. – 2016. – Vol. 23. – P. 1016–1036.
20. Kawamoto K., Houlihan C.A., Balas E.A. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success //BMJ. – 2005. – Vol. 330. – P. 765–8.
21. Varghese J., Kleine M., Gessner S.I., Sandmann S., Dugas M. Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review //JAMIA. – 2018. – Vol. 25. – № 5. – P. 593–602.
22. Bright T., Wong A., Dhurjati R., Bristow E., Bastian L., Coeytaux R.R. et al. Effects of computerised decision support systems //Ann Intern Med. – 2012. – Vol. 157. – P. 29–43.
23. Moja L., Kwag K.H., Lytras T., Bertizzolo L., Brandt L., Pecoraro V. et al. The effects of computerised decision support systems linked to electronic health records: a systematic review and meta-analysis // Am J Public Health. – 2014. – Vol. 104. – P.e12–22.
24. Anchala R., Kaptoge S., Pant H., Di Angelantonio E., Franco O.H., Prabhakaran D. Evaluation of effectiveness and cost-effectiveness of a clinical decision support system in managing hypertension in resource constrained primary health care settings: results from a cluster randomized trial //J Am Heart Assoc. – 2015. – Vol. 4. – № 1. – P.e001213.
25. Curtis C.E., Al Bahar F., Marriott J.F. The effectiveness of computerised decision support on antibiotic use in hospitals: A systematic review //PLoS One. – 2017. – Vol. 12. – № 8. – P.e0183062.
26. Keasberry J., Scott I.A., Sullivan C., Staib A., Ashby R. Going digital: a narrative overview of the clinical and organisational impacts of eHealth technologies in hospital practice //Aust Health Rev. – 2017. – Vol. 41. – № 6. – P. 646–64.
27. Drew B.J., Harris P., Zègre-Hemsey J.K., Mammone T., Schindler D., Salas-Boni R. et al. Insights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients //PLoS One. – 2014. – Vol. 9. – № 10. – P.e110274.
28. Roshanov P.S., Fernandes N., Wilczynski J.M., Hemens B.J., You J.J., Handler S.M. et al. Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials // BMJ. – 2013. – Vol. 346. – P.f657.
29. Bartman T., Bertoni C.B., Merandi J., Brady M., Bode R.S. Patient safety: what is working and why? // Curr Treat Options Peds. – 2019. – Vol. 5. – P. 131–44.
30. National Patient Safety Agency. The fourth report from the patient safety observatory. Safety in doses: medication safety incidents in the NHS. Patient safety observational report. – London: NPSA, 2007.
31. Leung A.A., Denham C.R., Gandhi T.K., Bane A., Churchill W.W., Bates D.W. et al. A safe practice standard for barcode technology //J Patient Saf. – 2015. – Vol. 11. – P. 89–99.
32. Khammarnia M., Kassani A., Eslahi M. the efficacy of patients’ wristband bar-code on prevention of medical errors: a metaanalysis study //Appl Clin Inform. – 2015. – Vol. 6. – P. 716–27.
33. Hutton K., Ding Q., Wellman G. The effects of bar-coding technology on medication errors: a systematic literature review //J Patient Saf. – 2017. doi: 10.1097/PTS.0000000000000366
34. Huber C., Rebold B., Wallace C. ERCI institute PSO deep Dive analyzes medication events. Plymouth: ECRI Institute; 2012.
35. Rothschild J.M., Keohane C.A., Cook E.F., Orav E.J., Burdick E., Thompson S. et al. A controlled trial of smart infusion pumps to improve medication safety in critically ill patients //Crit Care Med. – 2005. – Vol. 33. – P. 533–40.
36. Ohashi K., Dalleur O., Dykes P.C., Bates D.W. Benefits and risks of using smart pumps to reduce medication error rates: a systematic review //Drug Saf. – 2014. – Vol. 37. – P. 1011–20.
37. Giuliano K.K., Niemi C. The urgent need for innovation in IV smart pumps //Nurs Manage. – 2015. – Vol. 46. – № 3. – P. 17–9.
38. Biltoft J., Finneman L. Clinical and financial effects of smart pump-electronic medical record interoperability at a hospital in a regional health system //Am J Health Syst Pharm. – 2018. – Vol. 75. – № 14. – P. 1064–8.
39. Tsao N.W., Lo C., Babich M., Shah K., Bansback N.J. Decentralized automated dispensing devices: ystematic review of clinical and economic impacts in hospitals //Can J Hosp Pharm. – 2014. – Vol. 67. – № 2. – P. 138–48.
40. de-Carvalho D., Alvim-Borges J.L., Toscano C.M. Impact assessment of an automated drug-dispensing ystem in a tertiary hospital //Clinics (Sao Paulo). – 2017. – Vol. 72. – № 10. – P. 629–36.
41. Fanning L., Jones N., Manias E. Impact of automated dispensing cabinets on medication selection and preparation error rates in an emergency department: a prospective and direct observational before-and-after study //J Eval Clin Pract. – 2016. – Vol. 22. – № 2. – P. 156–63.
42. Cousein E., Mareville J., Lerooy A., Caillau A., Labreuche J., Dambre D. et al. Effect of automated drug distribution systems on medication error rates in a short-stay geriatric unit //J Eval Clin Pract. – 2014. – Vol. 20. – № 5. – P. 678–84.
43. Risør B.W., Lisby M., Sørensen J. Complex automated medication systems reduce medication administration errors in a Danish acute medical unit //Int J Qual Health Care. – 2018. – Vol. 30. – № 6. – P. 457–65.
44. Institute for Safe Medication Practices. Safety enhancements every hospital must consider in wake of another tragic neuromuscular blocker event //ISMP Medication Saf Alert. – 2019. – Vol. 24. – № 1. – P. 1–6.
45. Rhodes J.A.M., McCarthy B.C. Automated dispensing cabinet technology limitations compromise patient safety //Am J Health Syst Pharm. – 2019. – Vol. 76. – № 18. – P. 1372–1373.
46. Office of Health Policy, Office of the Assistant Secretary for Planning and Evaluation. Report to Congress: E-health and telemedicine. Washington: Department of Health and Human Services, 2016 (https:// aspe. hhs.gov/sites/default/files/pdf/206751/TelemedicineE-HealthReport.pdf).
47. Блажис А.К., Дюк В. А. Телемедицина. – СПб.: СпецЛит, 2001. – 143 с.
48. Tuckson R.V., Edmunds M., Hodgkins M.L. Telehealth //N Engl J Med. – 2017. – Vol. 377. – № 16. – P. 1585–92.
49. Hanlon P., Daines L., Campbell C., McKinstry B., Weller D., Pinnock H. Telehealth interventions to support self-management of long-term conditions: a systematic meta-review of diabetes, heart failure, asthma, chronic obstructive pulmonary disease, and cancer //J Med Internet Res. – 2017. – Vol. 19. – № 5. – P.e172.
50. Udeh C., Udeh B., Rahman N., Canfield C., Campbell J., Hata J.S. Telemedicine /virtual ICU: where are we and where are we going? //Methodist Debakey Cardiovasc J. – 2018. – Vol. 14. – № 2. – P. 126–33.
51. Fusaro M.V., Becker C., Scurlock C. Evaluating Tele-ICU implementation based on observed and predicted ICU mortality: a systematic review and meta-analysis //Crit Care Med. – 2019. – Vol. 47. – № 4. – P. 501–7.
52. Chen J., Sun D., Yang W., Liu M., Zhang S., Peng J., Ren C. Clinical and economic outcomes of telemedicine programs in the intensive care unit: a systematic review and meta-analysis //J Intensive Care Med. – 2018. – Vol. 33. – № 7. – P. 383–93.
53. Mackintosh N., Terblanche M., Maharaj R., Xyrichis A., Franklin K., Keddie J. et al. Telemedicine with clinical decision support for critical care: a systematic review //Syst Rev. – 2016. – Vol. 5. – № 1. – P. 176.
54. Plumb J.J., Hains I., Parr M.J., Milliss D., Herkes R., Westbrook J.I. Technology meets tradition: The perceived impact of the introduction of information and communication technology on ward rounds in the intensive care unit //Int J Med Inform. – 2017. – Vol. 105. – P. 49–58.
55. Fiks A.G., Mayne S.L., Karavite D.J., Suh A., O’Hara R., Localio A.R. et al. Parent-reported outcomes of a shared decision making portal in asthma: a practice-based RCT //Pediatrics. – 2015. – Vol. 135. – P.e965-e973.
56. Kruse C.S., Bolton K., Freriks G. The effect of patient portals on quality outcomes and its implications to meaningful use: a systematic review //J Med Internet Res. – 2015. – Vol. 17. – P.e44.
57. Savage S.W., Schneider P.J., Pedersen C.A. Utility of an online medication-error-reporting system //Am J Health Syst Pharm. – 2005. – Vol. 62. – P. 2265–70.
58. Stavropoulou C., Doherty C., Tosey P. How effective are incident-reporting systems for improving patient safety? //Milbank Q. – 2015. – Vol. 93. – P. 826–66.
59. Eden R., Burton-Jones A., Scott I., Staib A., Sullivan C. Effects of eHealth on hospital practice: synthesis of the current literature //Aust Health Rev. – 2018. – Vol. 42. – № 5. – P. 568–78.
60. Lau F., Kuziemsky C., Price M., Gardner J. A review on systematic reviews of health information system studies //JAMIA. – 2010. – Vol. 17. – № 6. – P. 637–45.
61. Campanella P., Lovato E., Marone C., Fallacara L., Mancuso A., Ricciardi W. et al. The impact of electronic health records on healthcare quality: a systematic review and meta-analysis //Eur J Public Health. – 2016. – Vol. 26. – P. 60–4.
62. Thompson G., O’Horo J.C., Pickering B.W. et al. Impact of the electronic medical record on mortality, length of stay and cost in the hospital and ICU: a systematic review and meta-analysis //Crit Care Med. – 2015. – Vol. 43. – P. 1276–82.
63. Tanner C., Gans D., White J., Nath R., Pohl J. Electronic health records and patient safety: co-occurrence of early EHR implementation with patient safety practices in primary care settings //Appl Clin Inform. – 2015. – Vol. 6. – № 1. – P. 136–47.
64. Davis J., Riesenberg L.A., Mardis M., Donnelly J., Benningfield B., Youngstrom M., Vetter I. Evaluating outcomes of electronic tools supporting physician shift-to-shift handoffs: a systematic review //J Grad Med Educ. – 2015. – Vol. 7. – № 2. – P. 174–80.
65. Delardes B., McLeod L., Chakraborty S., Bowles K.A. What is the effect of electronic clinical handovers on patient outcomes? A systematic review //Health Informatics J. – 2020. – doi: 10.1177/1460458220905162.
66. Ontario Health Technology Assessment. Electronic tools for health information exchange: an evidence based analysis //Ont Health Technol Assess Ser. – 2013. – Vol. 13. – P. 1–76.
67. Virginio L.A. Jr., Ricarte I.L. Identification of patient safety risks associated with electronic health records: a software quality perspective //Stud Health Technol Inform. – 2015. – Vol. 216. – P. 55–9.
68. Sittig D.F., Ash J.S., Singh H. The SAFER Guides: empowering organizations of electronic health records //Am J Manag Care. – 2014. – Vol. 20. – № 5. – P. 418–23.
69. Sittig D.F., Singh H. A new socio-technical model for studying health information technology in complex adaptive healthcare systems //Qual Saf Health Care. – 2010. – Vol. 19, Suppl 3. – P.i68–74.
70. Safe use of health information technology //Sentinel Event Alert. – 2015. – № 54. – P. 1–6.
2. Slawomirski L., Auraaen A., Klazinga N. The economics of patient safety: Strengthening a value-based approach to reducing patient harm at national level: OECD Health Working Papers, № 96. – Paris: OECD Publ., 2017. – 63 р. http://dx.doi.org/10.1787/5a9858cd-en
3. Singh H., Sittig D. F. Measuring and improving patient safety through health information technology: The Health IT Safety Framework //BMJ Qual Saf. – 2016. – Vol. 25. – P. 226–232.
4. Health IT and patient safety: building safer systems for better care /Institute of Medicine. – Washington: The National Academies Press, 2012. – 234 р.
5. Lisby M., Nielsen L. P., Mainz J. Errors in the medication process: frequency, type, and potential clinical consequences //Int J Qual Health Care. – 2005. – Vol. 17. – № 1. – P. 15–22.
6. Salmasi S., Khan T.M., Hong Y.H., Ming L.C., Wong T.W. Medication errors in the Southeast Asian countries: a systematic review // PLoS One. – 2015. – Vol. 10. – № 9. – P.e0136545.
7. Nuckols T.K., Smith-Spangler C., Morton S.C., Asch S.M., Patel V.M., Anderson L.J. et al. The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis //Syst Rev. – 2014. – Vol. 3. – P. 56.
8. Roumeliotis N., Sniderman J., Adams-Webber T., Addo N., Anand V., Rochon P. et al. Effect of electronic prescribing strategies on medication error and harm in hospital: a systematic review and meta-analysis //Gen Intern Med. – 2019. – Vol. 34. – № 10. – P. 2210–2223.
9. Prgomet M., Li L., Niazkhani Z., Georgiou A., Westbrook J. I. Impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay, and mortality in intensive care units: a systematic review and meta-analysis //JAMIA. – Vol. 24. – № 2. – P. 413–422.
10. Kaushal R., Kern L.M., Barrón Y., Quaresimo J., Abramson E.L. Electronic prescribing improves medication safety in community-based office practices //J Gen Intern Med. – 2010. – Vol. 25. – № 6. – P. 530–6.
11. Devine E.B., Hansen R.N., Wilson-Norton J.L., Lawless N.M., Fisk A.W., Blough D.K. et al. The impact of computerized provider order entry on medication errors in a multi specialty group practice //JAMIA. – 2010. – Vol. 17. – P. 78–84.
12. Dainty K.N., Adhikari NK.J., Kiss A., Quan S., Zwarenstein M. Electronic prescribing in an ambulatory care setting: a cluster randomized trial //J Eval Clin Pract. – 2012. – Vol. 18. – P. 761–767.
13. Noblet T., Marriott J., Graham-Clarke E., Shirley D., Rushton A. Clinical and cost-effectiveness of non-medical prescribing: A systematic review of randomised controlled trials //PLoS ONE. – 2018. – Vol. 13. – № 3. – P.e0193286.
14. Ahmed Z., Barber N., Jani Y., Garfield S., Franklin B.D. Economic impact of electronic prescribing in the hospital setting: A systematic review //Int J Med Inform. – 2016. – Vol. 88. – P. 1–7.
15. Black A.D., Car J., Pagliari C. et al. The impact of eHealth on the quality and safety of health care: a systematic overview //PLoS Med. – 2011. – Vol. 8. – P.e1000387.
16. Westbrook J.I., Baysari M.T., Li L., Burke R., Richardson K.L., Day R.O. The safety of electronic prescribing: manifestations, mechanisms, and rates of system-related errors associated with two commercial systems in hospitals //JAMIA. – 2013. – Vol. 20. – № 6. – P. 1159–67.
17. American Hospital Association. Improving patient safety and health care quality through health information technology: Trendwatch Issue Brief 3, 2018. https: //www.aha.org/system/files/2018–07/18–07- trendwatch-issue-brief3-patient-safety-quality-health-it.pdf
18. Osheroff J.A., Pifer E.A., Teich J.M. et al. Improving outcomes with clinical decision support: an implementer’s guide. – Boca Raton: Productivity Press, 2005.
19. Brenner S.K., Kaushal R., Grinspan Z., Joyce C., Kim I., Allard R.J. et al. Effects of health information technology on patient outcomes: a systematic review //JAMIA. – 2016. – Vol. 23. – P. 1016–1036.
20. Kawamoto K., Houlihan C.A., Balas E.A. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success //BMJ. – 2005. – Vol. 330. – P. 765–8.
21. Varghese J., Kleine M., Gessner S.I., Sandmann S., Dugas M. Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review //JAMIA. – 2018. – Vol. 25. – № 5. – P. 593–602.
22. Bright T., Wong A., Dhurjati R., Bristow E., Bastian L., Coeytaux R.R. et al. Effects of computerised decision support systems //Ann Intern Med. – 2012. – Vol. 157. – P. 29–43.
23. Moja L., Kwag K.H., Lytras T., Bertizzolo L., Brandt L., Pecoraro V. et al. The effects of computerised decision support systems linked to electronic health records: a systematic review and meta-analysis // Am J Public Health. – 2014. – Vol. 104. – P.e12–22.
24. Anchala R., Kaptoge S., Pant H., Di Angelantonio E., Franco O.H., Prabhakaran D. Evaluation of effectiveness and cost-effectiveness of a clinical decision support system in managing hypertension in resource constrained primary health care settings: results from a cluster randomized trial //J Am Heart Assoc. – 2015. – Vol. 4. – № 1. – P.e001213.
25. Curtis C.E., Al Bahar F., Marriott J.F. The effectiveness of computerised decision support on antibiotic use in hospitals: A systematic review //PLoS One. – 2017. – Vol. 12. – № 8. – P.e0183062.
26. Keasberry J., Scott I.A., Sullivan C., Staib A., Ashby R. Going digital: a narrative overview of the clinical and organisational impacts of eHealth technologies in hospital practice //Aust Health Rev. – 2017. – Vol. 41. – № 6. – P. 646–64.
27. Drew B.J., Harris P., Zègre-Hemsey J.K., Mammone T., Schindler D., Salas-Boni R. et al. Insights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients //PLoS One. – 2014. – Vol. 9. – № 10. – P.e110274.
28. Roshanov P.S., Fernandes N., Wilczynski J.M., Hemens B.J., You J.J., Handler S.M. et al. Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials // BMJ. – 2013. – Vol. 346. – P.f657.
29. Bartman T., Bertoni C.B., Merandi J., Brady M., Bode R.S. Patient safety: what is working and why? // Curr Treat Options Peds. – 2019. – Vol. 5. – P. 131–44.
30. National Patient Safety Agency. The fourth report from the patient safety observatory. Safety in doses: medication safety incidents in the NHS. Patient safety observational report. – London: NPSA, 2007.
31. Leung A.A., Denham C.R., Gandhi T.K., Bane A., Churchill W.W., Bates D.W. et al. A safe practice standard for barcode technology //J Patient Saf. – 2015. – Vol. 11. – P. 89–99.
32. Khammarnia M., Kassani A., Eslahi M. the efficacy of patients’ wristband bar-code on prevention of medical errors: a metaanalysis study //Appl Clin Inform. – 2015. – Vol. 6. – P. 716–27.
33. Hutton K., Ding Q., Wellman G. The effects of bar-coding technology on medication errors: a systematic literature review //J Patient Saf. – 2017. doi: 10.1097/PTS.0000000000000366
34. Huber C., Rebold B., Wallace C. ERCI institute PSO deep Dive analyzes medication events. Plymouth: ECRI Institute; 2012.
35. Rothschild J.M., Keohane C.A., Cook E.F., Orav E.J., Burdick E., Thompson S. et al. A controlled trial of smart infusion pumps to improve medication safety in critically ill patients //Crit Care Med. – 2005. – Vol. 33. – P. 533–40.
36. Ohashi K., Dalleur O., Dykes P.C., Bates D.W. Benefits and risks of using smart pumps to reduce medication error rates: a systematic review //Drug Saf. – 2014. – Vol. 37. – P. 1011–20.
37. Giuliano K.K., Niemi C. The urgent need for innovation in IV smart pumps //Nurs Manage. – 2015. – Vol. 46. – № 3. – P. 17–9.
38. Biltoft J., Finneman L. Clinical and financial effects of smart pump-electronic medical record interoperability at a hospital in a regional health system //Am J Health Syst Pharm. – 2018. – Vol. 75. – № 14. – P. 1064–8.
39. Tsao N.W., Lo C., Babich M., Shah K., Bansback N.J. Decentralized automated dispensing devices: ystematic review of clinical and economic impacts in hospitals //Can J Hosp Pharm. – 2014. – Vol. 67. – № 2. – P. 138–48.
40. de-Carvalho D., Alvim-Borges J.L., Toscano C.M. Impact assessment of an automated drug-dispensing ystem in a tertiary hospital //Clinics (Sao Paulo). – 2017. – Vol. 72. – № 10. – P. 629–36.
41. Fanning L., Jones N., Manias E. Impact of automated dispensing cabinets on medication selection and preparation error rates in an emergency department: a prospective and direct observational before-and-after study //J Eval Clin Pract. – 2016. – Vol. 22. – № 2. – P. 156–63.
42. Cousein E., Mareville J., Lerooy A., Caillau A., Labreuche J., Dambre D. et al. Effect of automated drug distribution systems on medication error rates in a short-stay geriatric unit //J Eval Clin Pract. – 2014. – Vol. 20. – № 5. – P. 678–84.
43. Risør B.W., Lisby M., Sørensen J. Complex automated medication systems reduce medication administration errors in a Danish acute medical unit //Int J Qual Health Care. – 2018. – Vol. 30. – № 6. – P. 457–65.
44. Institute for Safe Medication Practices. Safety enhancements every hospital must consider in wake of another tragic neuromuscular blocker event //ISMP Medication Saf Alert. – 2019. – Vol. 24. – № 1. – P. 1–6.
45. Rhodes J.A.M., McCarthy B.C. Automated dispensing cabinet technology limitations compromise patient safety //Am J Health Syst Pharm. – 2019. – Vol. 76. – № 18. – P. 1372–1373.
46. Office of Health Policy, Office of the Assistant Secretary for Planning and Evaluation. Report to Congress: E-health and telemedicine. Washington: Department of Health and Human Services, 2016 (https:// aspe. hhs.gov/sites/default/files/pdf/206751/TelemedicineE-HealthReport.pdf).
47. Блажис А.К., Дюк В. А. Телемедицина. – СПб.: СпецЛит, 2001. – 143 с.
48. Tuckson R.V., Edmunds M., Hodgkins M.L. Telehealth //N Engl J Med. – 2017. – Vol. 377. – № 16. – P. 1585–92.
49. Hanlon P., Daines L., Campbell C., McKinstry B., Weller D., Pinnock H. Telehealth interventions to support self-management of long-term conditions: a systematic meta-review of diabetes, heart failure, asthma, chronic obstructive pulmonary disease, and cancer //J Med Internet Res. – 2017. – Vol. 19. – № 5. – P.e172.
50. Udeh C., Udeh B., Rahman N., Canfield C., Campbell J., Hata J.S. Telemedicine /virtual ICU: where are we and where are we going? //Methodist Debakey Cardiovasc J. – 2018. – Vol. 14. – № 2. – P. 126–33.
51. Fusaro M.V., Becker C., Scurlock C. Evaluating Tele-ICU implementation based on observed and predicted ICU mortality: a systematic review and meta-analysis //Crit Care Med. – 2019. – Vol. 47. – № 4. – P. 501–7.
52. Chen J., Sun D., Yang W., Liu M., Zhang S., Peng J., Ren C. Clinical and economic outcomes of telemedicine programs in the intensive care unit: a systematic review and meta-analysis //J Intensive Care Med. – 2018. – Vol. 33. – № 7. – P. 383–93.
53. Mackintosh N., Terblanche M., Maharaj R., Xyrichis A., Franklin K., Keddie J. et al. Telemedicine with clinical decision support for critical care: a systematic review //Syst Rev. – 2016. – Vol. 5. – № 1. – P. 176.
54. Plumb J.J., Hains I., Parr M.J., Milliss D., Herkes R., Westbrook J.I. Technology meets tradition: The perceived impact of the introduction of information and communication technology on ward rounds in the intensive care unit //Int J Med Inform. – 2017. – Vol. 105. – P. 49–58.
55. Fiks A.G., Mayne S.L., Karavite D.J., Suh A., O’Hara R., Localio A.R. et al. Parent-reported outcomes of a shared decision making portal in asthma: a practice-based RCT //Pediatrics. – 2015. – Vol. 135. – P.e965-e973.
56. Kruse C.S., Bolton K., Freriks G. The effect of patient portals on quality outcomes and its implications to meaningful use: a systematic review //J Med Internet Res. – 2015. – Vol. 17. – P.e44.
57. Savage S.W., Schneider P.J., Pedersen C.A. Utility of an online medication-error-reporting system //Am J Health Syst Pharm. – 2005. – Vol. 62. – P. 2265–70.
58. Stavropoulou C., Doherty C., Tosey P. How effective are incident-reporting systems for improving patient safety? //Milbank Q. – 2015. – Vol. 93. – P. 826–66.
59. Eden R., Burton-Jones A., Scott I., Staib A., Sullivan C. Effects of eHealth on hospital practice: synthesis of the current literature //Aust Health Rev. – 2018. – Vol. 42. – № 5. – P. 568–78.
60. Lau F., Kuziemsky C., Price M., Gardner J. A review on systematic reviews of health information system studies //JAMIA. – 2010. – Vol. 17. – № 6. – P. 637–45.
61. Campanella P., Lovato E., Marone C., Fallacara L., Mancuso A., Ricciardi W. et al. The impact of electronic health records on healthcare quality: a systematic review and meta-analysis //Eur J Public Health. – 2016. – Vol. 26. – P. 60–4.
62. Thompson G., O’Horo J.C., Pickering B.W. et al. Impact of the electronic medical record on mortality, length of stay and cost in the hospital and ICU: a systematic review and meta-analysis //Crit Care Med. – 2015. – Vol. 43. – P. 1276–82.
63. Tanner C., Gans D., White J., Nath R., Pohl J. Electronic health records and patient safety: co-occurrence of early EHR implementation with patient safety practices in primary care settings //Appl Clin Inform. – 2015. – Vol. 6. – № 1. – P. 136–47.
64. Davis J., Riesenberg L.A., Mardis M., Donnelly J., Benningfield B., Youngstrom M., Vetter I. Evaluating outcomes of electronic tools supporting physician shift-to-shift handoffs: a systematic review //J Grad Med Educ. – 2015. – Vol. 7. – № 2. – P. 174–80.
65. Delardes B., McLeod L., Chakraborty S., Bowles K.A. What is the effect of electronic clinical handovers on patient outcomes? A systematic review //Health Informatics J. – 2020. – doi: 10.1177/1460458220905162.
66. Ontario Health Technology Assessment. Electronic tools for health information exchange: an evidence based analysis //Ont Health Technol Assess Ser. – 2013. – Vol. 13. – P. 1–76.
67. Virginio L.A. Jr., Ricarte I.L. Identification of patient safety risks associated with electronic health records: a software quality perspective //Stud Health Technol Inform. – 2015. – Vol. 216. – P. 55–9.
68. Sittig D.F., Ash J.S., Singh H. The SAFER Guides: empowering organizations of electronic health records //Am J Manag Care. – 2014. – Vol. 20. – № 5. – P. 418–23.
69. Sittig D.F., Singh H. A new socio-technical model for studying health information technology in complex adaptive healthcare systems //Qual Saf Health Care. – 2010. – Vol. 19, Suppl 3. – P.i68–74.
70. Safe use of health information technology //Sentinel Event Alert. – 2015. – № 54. – P. 1–6.
Для цитирования
Документы
Ключевые слова