1. Weiser TG, Haynes AB, Molina G, Lipsitz SR, Esquivel MM, Uribe-Leitz T, et al. Estimate of the global volume of surgery in 2012: an assessment supporting improved health outcomes. Lancet 2015; 385(2 Suppl):S11.
2. International Surgical Outcomes Study group. Global patient outcomes after elective surgery: prospective cohort study in 27 low-, middle- and high-income countries. Br J Anaesth 2016; 117: 601-609. PMID:
27799174.
3. Bartels K, Karhausen J, Clambey ET, Grenz A, Eltzschig HK. Perioperative organ injury. Anesthesiology 2013; 119: 1474-1489. PMID:
24126264.
4. Michard F, Mountford WK, Krukas MR, Ernst FR, Fogel SL. Potential return on investment for implementation of perioperative goal-directed fluid therapy in major surgery: a nationwide database study. Perioper Med (Lond) 2015; 4: 11PMID:
26500766.
5. Lee JH. Future of the smartphone for patients and healthcare providers. Healthc Inform Res 2016; 22: 1-2. PMID:
26893944.
6. Stephens J, Allen J. Mobile phone interventions to increase physical activity and reduce weight: a systematic review. J Cardiovasc Nurs 2013; 28: 320-329. PMID:
22635061.
7. Whittaker R, McRobbie H, Bullen C, Rodgers A, Gu Y. Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev 2016; 4: CD006611PMID:
27060875.
8. Althoff T, White RW, Horvitz E. Influence of pokémon go on physical activity: study and implications. J Med Internet Res 2016; 18: e315. PMID:
27923778.
9. Brass P, Hellmich M, Kolodziej L, Schick G, Smith AF. Ultrasound guidance versus anatomical landmarks for internal jugular vein catheterization. Cochrane Database Syst Rev 2015; 1: CD006962PMID:
25575244.
10. Lewis SR, Price A, Walker KJ, McGrattan K, Smith AF. Ultrasound guidance for upper and lower limb blocks. Cochrane Database Syst Rev 2015;(9): CD006459PMID:
26361135.
11. Michard F, Biais M. Rational fluid management: dissecting facts from fiction. Br J Anaesth 2012; 108: 369-371. PMID:
22337956.
13. Desebbe O, Joosten A, Suehiro K, Lahham S, Essiet M, Rinehart J, et al. A novel mobile phone application for pulse pressure variation monitoring based on feature extraction technology: a method comparison study in a simulated environment. Anesth Analg 2016; 123: 105-113. PMID:
27144541.
14. Barrachina B, Cobos R, Mardones N, Castañeda A, Vinuesa C. Assessment of a smartphone app (Capstesia) for measuring pulse pressure variation: agreement between two methods: A Cross-sectional study. Eur J Anaesthesiol 2017; 34: 75-80. PMID:
28002069.
15. Holmes AA, Konig G, Ting V, Philip B, Puzio T, Satish S, et al. Clinical evaluation of a novel system for monitoring surgical hemoglobin loss. Anesth Analg 2014; 119: 588-594. PMID:
24797122.
16. Konig G, Waters JH, Javidroozi M, Philip B, Ting V, Abbi G, et al. Real-time evaluation of an image analysis system for monitoring surgical hemoglobin loss. J Clin Monit Comput 2017;[Epub ahead of print].
17. Ghaferi AA, Birkmeyer JD, Dimick JB. Variation in hospital mortality associated with inpatient surgery. N Engl J Med 2009; 361: 1368-1375. PMID:
19797283.
18. Taenzer AH, Pyke JB, McGrath SP, Blike GT. Impact of pulse oximetry surveillance on rescue events and intensive care unit transfers: a before-and-after concurrence study. Anesthesiology 2010; 112: 282-287. PMID:
20098128.
19. Brown H, Terrence J, Vasquez P, Bates DW, Zimlichman E. Continuous monitoring in an inpatient medical-surgical unit: a controlled clinical trial. Am J Med 2014; 127: 226-232. PMID:
24342543.
21. Michard F, Gan TJ, Kehlet H. Digital innovations and emerging technologies for enhanced recovery programmes. Br J Anaesth 2017; 119: 31-39. [Epub ahead of print]. PMID:
28605474.
22. Ross ES, Sakakibara BM, Mackay MH, Whitehurst DG, Singer J, Toma M, et al. The use of text messaging to improve the hospital-to-community transition in acute coronary syndrome patients (Txt2Prevent): intervention development and pilot randomized controlled trial protocol. JMIR Res Protoc 2017; 6: e91. PMID:
28536088.
23. Michard F. Hemodynamic monitoring in the era of digital health. Ann Intensive Care 2016; 6: 15PMID:
26885656.
24. Luna IE, Peterson B, Kehlet H, Aasvang EK. Individualized assessment of post-arthroplasty recovery by actigraphy: a methodology study. J Clin Monit Comput 2016;[Epub ahead of print].
25. Cook DJ, Thompson JE, Prinsen SK, Dearani JA, Deschamps C. Functional recovery in the elderly after major surgery: assessment of mobility recovery using wireless technology. Ann Thorac Surg 2013; 96: 1057-1061. PMID:
23992697.
26. Mobbs RJ, Phan K, Maharaj M, Rao PJ. Physical activity measured with accelerometer and self-rated disability in lumbar spine surgery: a prospective study. Global Spine J 2016; 6: 459-464. PMID:
27433430.
27. Beevi FH, Miranda J, Pedersen CF, Wagner S. An evaluation of commercial pedometers for monitoring slow walking speed populations. Telemed J E Health 2016; 22: 441-449. PMID:
26451900.
28. Matsumura K, Yamakoshi T. iPhysioMeter: a new approach for measuring heart rate and normalized pulse volume using only a smartphone. Behav Res Methods 2013; 45: 1272-1278. PMID:
23408381.
29. Chan PH, Wong CK, Poh YC, Pun L, Leung WW, Wong YF, et al. Diagnostic performance of a smartphone-based photoplethysmographic application for atrial fibrillation screening in a primary care setting. J Am Heart Assoc 2016; 5: e003428. PMID:
27444506.
30. Nam Y, Lee J, Chon KH. Respiratory rate estimation from the built-in cameras of smartphones and tablets. Ann Biomed Eng 2014; 42: 885-898. PMID:
24271263.
31. Nam Y, Kong Y, Reyes B, Reljin N, Chon KH. Monitoring of heart and breathing rates using dual cameras on a smartphone. PLoS One 2016; 11: e0151013. PMID:
26963390.
32. Nam Y, Reyes BA, Chon KH. Estimation of respiratory rates using the built-in microphone of a smartphone or headset. IEEE J Biomed Health Inform 2016; 20: 1493-1501. PMID:
26415194.
33. Saxon LA. Ubiquitous wireless ECG recording: a powerful tool physicians should embrace. J Cardiovasc Electrophysiol 2013; 24: 480-483. PMID:
23421574.
34. Plante TB, Urrea B, MacFarlane ZT, Blumenthal RS, Miller ER 3rd, Appel LJ, et al. Validation of the instant blood pressure smartphone app. JAMA Intern Med 2016; 176: 700-702. PMID:
26938174.
36. Leff B, Finucane TE. Gizmo idolatry. JAMA 2008; 299: 1830-1832. PMID:
18413879.