Journal Articles and Abstracts Related to AHI

  1. Belle, A., et al., A Continuous Real-Time Analytic for Predicting Instability in Acute Care Rapid Response Team Activations, 22nd International Conference on Health Analytics, World Academy of Science, Engineering, and Technology, Dec 2020.
  2. Bassin, B., et al., Detection of hemodynamic status using a novel analytic based solely on a single ECG waveform, Resuscitation Science Symposium 2020, American Heart Association, Nov 2020.
  3. Belle, A., et al., A Novel Continuous Heart Rate Variability Based Analytic to Predict Clinical Hemodynamic Instability Requiring Intervention, American Heart Association-Circulation, November 5, 2018. 2018; V138:A339


  1. Weil, M.Defining Hemodynamic Instability. In: Pinsky M.R., Payen D. (eds) Functional Hemodynamic Monitoring. Update in Intensive Care and Emergency Medicine, vol 42. 2005. Springer, Berlin, Heidelberg.
  2. Hall, J. Guyton and Hall Textbook of Medical Physiology. 13th edition. Philadelphia, PA: Elsevier. 2016.
  3. Morozowich, S., et al. Pharmacologic Agents for Acute Hemodynamic Instability: Recent Advances in the Management of Perioperative Shock- a Systematic Review. Annals of Cardiac Anaesthesia. 2015. 8 (4): 543–54
  4. Schein, R., et al. Clinical Antecedents to In-Hospital Cardiopulmonary Arrest. Chest 1990. 98 (6): 1388–92.
  5. Bhalala, U. et al. Antecedent Bradycardia and In-Hospital Cardiopulmonary Arrest Mortality in Telemetry-Monitored Patients Outside the ICU. Resuscitation 2012. 83 (9): 1106–10.
  6. Andersen, L., et al. The Prevalence and Significance of Abnormal Vital Signs Prior to In-Hospital Cardiac Arrest.” Resuscitation 98 2016. (January): 112–17.
  7. Seymour, C., et al. Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 2016. 315 (8): 762–74.
  8. Healthcare Cost and Utilization Project (HCUP). Most Common Diagnoses In Hospital Inpatient Stays – HCUP Fast Stats. Accessed 19 March 2020.
  9. Vincent, J., et al. Circulatory Shock. Research-article. October 30, 2013.
  10. Kause, J., et al. A Comparison of Antecedents to Cardiac Arrests, Deaths and EMergency Intensive Care Admissions in Australia and New Zealand, and the United Kingdom—the ACADEMIA Study. Resuscitation 2004. 62 (3): 275–82.
  11. Johnston, M., et al. A Systematic Review to Identify the Factors That Affect Failure to Rescue and Escalation of Care in Surgery. Surgery 215. 157 (4): 752–63.
  12. Silber, J., et al. Hospital and Patient Characteristics Associated with Death after Surgery: A Study of Adverse Occurrence and Failure to Rescue. Medical Care 1992. 30 (7): 615–29
  13. Brennan, T. Identification of Adverse Events Occurring during Hospitalization: A Cross-Sectional Study of Litigation, Quality Assurance, and Medical Records at Two Teaching Hospitals. Annals of Internal Medicine 1990. 112 (3): 221–26.
  14. Vincent, J., et al. Circulatory Shock. Research-article. October 30, 2013.
  15. Hall, John E. Textbook of Medical Physiology. 2016. Guyton and Hall. 13th edition. Philadelphia, PA: Elsevier.
  16. Rodgers, K. G. Cardiovascular Shock. Emergency Medicine Clinics of North America 1995. 13 (4): 793–810.
  17. Thiel, S., et al. Early Prediction of Septic Shock in Hospitalized Patients. Journal of Hospital Medicine 2010. 5 (1): 19–25.
  18. Lockwood, C., et al. Vital Signs. JBI Reports 2004. 2 (6): 207–30.
  19. McGhee, T., et al. Vital signs reassessment frequency recommendation. Nursing Management. September 2016, Volume :47 Number 9 , page 11 – 12.
  20. Sapra, A., et al. Vital Sign Assessment. [Updated 2020 May 23]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing. 2021.
  21. Smith, G., et al. A Comparison of the Ability of the Physiologic Components of Medical Emergency Team Criteria and the U.K. National Early Warning Score to Discriminate Patients at Risk of a Range of Adverse Clinical Outcomes. Crit Care Med. 2016 Dec;44(12):2171-2181.
  22. Schmid, F., et al. Patient Monitoring Alarms in the ICU and in the Operating Room. Critical Care 2013. 17 (2): 216.
  23. Pinsky, M., et al. Functional hemodynamic monitoring. Critical Care 9, 2005. no. 6  1-7.
  24. Gahlot, R., et al. Catheter-related bloodstream infections. International journal of critical illness and injury science 4, 2014. no. 2: 162.
  25. Magder, S. Invasive hemodynamic monitoring. Critical care clinics 31, 2015. no. 1: 67-87.
  26. Downey, C., et al. Strengths and limitations of early warning scores: a systematic review and narrative synthesis. International Journal of Nursing Studies 2107. 76: 106-119.
  27. Nakitende, I., et al. Do different patient populations need different early warning scores? The performance of nine different early warning scores used on acutely ill patients admitted to a low-resource hospital in sub-Saharan Africa. Clinical Medicine 2020. 20, no. 1: 67.
  28. Götzinger, M., et al. Enhancing the Self-Aware Early Warning Score System Through Fuzzified Data Reliability Assessment. In Wireless Mobile Communication and Healthcare: 7th International Conference, MobiHealth 2017, Vienna, Austria, November 14–15, 2017, Proceedings, vol. 247, p. 3. Springer, 2018.
  29. Le Lagadec M., et al.Scoping review: The use of early warning systems for the identification of in-hospital patients at risk of deterioration. Aust. Critical Care. 2017 Jul;30(4):211-218.
  30. Young, M., et al. Inpatient transfers to the intensive care unit: delays are associated with increased mortality and morbidity. J Gen Intern Med. 2003 Feb;18(2):77-83.
  31. Tiruvoipati, R., et al. Intensive care discharge delay is associated with increased hospital length of stay: A multicentre prospective observational study. PLoS One, 2017. 12(7): p. e0181827.
  32. Gerry, S., et al. Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology. BMJ 2020;369:m1501.
  33. García-del-Valle, S., et al. Update on early warning scores. Best Practice & Research Clinical Anaesthesiology (2021).
  34. Churpek, M., et al. Predicting clinical deterioration in the hospital: the impact of outcome selection. Resuscitation 84, no. 5 (2013): 564-568.
  35. Bassin, B., et al. Detection of Hemodynamic Status Using a Novel Analytic Based Solely on a Single Ecg Waveform. Circulation 142, no. Suppl_4 (2020): A300-A300.
  36. Green, M., et al. Comparison of the Between the Flags calling criteria to the MEWS, NEWS and the electronic Cardiac Arrest Risk Triage (eCART) score for the identification of deteriorating ward patients. Resuscitation 123 (2018): 86-91.
  37. CLEW Medical FDA 510k premarket notification. Accessed 1 April 2020.
  38. Singh, K., et al. Evaluating a Widely Implemented Proprietary Deterioration Index Model Among Hospitalized COVID-19 Patients. Annals of the American Thoracic Society ja (2020).
  39. Taenzer, A, et al. Impact of pulse oximetry surveillance on rescue events and intensive care unit transfers: a before-and-after concurrence study. Anesthesiology, 2010. 112(2): p. 282-7.
  40. Brown, H., et al. Continuous monitoring in an inpatient medical-surgical unit: a controlled clinical trial. Am J Med, 2014. 127(3): p. 226-32.
  41. Heller, A., et al. Detection of Deteriorating Patients on Surgical Wards Outside the ICU by an Automated MEWS-Based Early Warning System With Paging Functionality. Ann Surg, 2020. 271(1): p. 100-105.
  42. Bellomo, R., et al. A controlled trial of electronic automated advisory vital signs monitoring in general hospital wards. Crit Care Med, 2012. 40(8): p. 2349-61.
  43. Lee, D.S., et al. Effect of Early Intervention on Long-Term Outcomes of Critically Ill Cancer Patients Admitted to ICUs. Crit Care Med, 2015. 43(7): p. 1439-48.
  44. Sauro, K., et al. Adverse Events After Transition From ICU to Hospital Ward: A Multicenter Cohort Study. Crit Care Med. 2020 Jul;48(7):946-953.
  45. Vincent, J., et al. Frequency and mortality of septic shock in Europe and North America: a systematic review and meta-analysis. Critical care 23, no. 1 (2019): 1-11.
  46. Bonanno, F.G. Clinical pathology of the shock syndromes. J Emerg Trauma Shock 2011;4:233-43
  47. Tran, A., et al. Early identification of the need for major intervention in patients with traumatic hemorrhage: development and internal validation of a simple bleeding score. Canadian Journal of Surgery 63, no. 5 (2020): E422.

AHI is the new standard for detecting hemodynamic instability. Contact us to learn more.

  • The key value proposition is in accurately predicting problems before they happen to aid in the recognition and rescue of the deteriorating patient…this makes it a novel next generation monitoring and predicting tool.

    Critical care/ED MD
  • We have a couple of teams dabbling in "early warning" models but they have not distilled it down to a single ECG lead!

    Chief Medical Officer
  • The linkage of an early response team with this technology would have a very high likelihood of being associated with a significant survival benefit.

    Chief Medical Officer
  • This is an amazing breakthrough!  I can see so many applications within the hospital.  I would like to get you connected to our innovation center so that we could be involved in its development.

    Chair, Vascular Surgery
  • Yes, this is a game-changer. The industry absolutely needs a better detection system for hemodynamic instability.

    Chief Medical Officer
  • All I can say is wow! That is awesome.

    Nurse Trainer