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Volume 3 Supplement 1


  • Poster presentation
  • Open Access

Automatic system of diagnosing and treatment in intensive care unit

  • 1,
  • 1,
  • 1 and
  • 2
Intensive Care Medicine Experimental20153 (Suppl 1) :A729

  • Published:


  • Intensive Care Unit
  • Acute Coronary Syndrome
  • Decision Support System
  • Automatic System
  • Medical Error


According to statistics, in average 1.7 medical errors occurs daily in the treatment of patients in intensive care [2]. 78% of medical errors are drug dosing errors[3]. Such errors can occur at any stage of the treatment, whether use of the drug, its preparation or administration. Mistakes in medicinal treatment had been done in 187 cases out of 5744 (3.3%) [1]. The greatest number of errors are related to speed of administration (40.1%), a pass-dose, incorrect dosage and delayed use of the drug were, respectively, 14.4%,11.7% and 13.9% [1]. The automatic robotic system is intended to reduce the number of medical errors by automatic dose calculation due to weight, age and etc. It consists of three functional modules: a block of drug administration, patient monitor, the analytical unit (decision support system - processing of received information, the definition of the state, providing recommendations). Data from all devices are automatically directed to the program and program sends commands to pumps. The system is based on national clinical guidelines of patient care in intensive care unit.


The aim of the study was to evaluate the effectiveness of diagnosis and correct treatment sequence of the automatic system.


The system performance testing was carried out on patients in intensive care unit. All diagnostic probes (pulse, ECG, blood pressure) of the system was connected to 53 patients on admission. System asks questions step by step and analyze physiological data, make a diagnosis and suggest treatment, after confirmation by the doctor it starts infusions. System corrects velocity of drug administration according to the values of heart rate, saturation, blood pressure.


In 38 cases system established diagnosis and it was admitted by the doctor, in 2 cases it was not confirmed by the doctor. In 13 cases, the diagnosis of the patient was beyond worked (thromboembolia of pulmonary artery, asthmatic status, cardiopulmonary edema, acute coronary syndrome, hypoglycemic coma, septic and hemorrhagic shock, arrhythmias). The treatment offered by the system was accepted in all diagnosed cases. There were none side effects or unwanted sequels.


Robotic system helps to diagnosis in 95% of cases and suggest about first therapeutic actions. In time sensitive cases it can prevent misdiagnosis and improper treatment. Further accumulation of material is need to prove reduction in number of medical errors.


Grant Acknowledgment

Research supported by contract No02.G25.31.0030.

Authors’ Affiliations

Lomonosov Moscow State University, Moscow, Russian Federation
People's Friendship University of Russia, Moscow, Russian Federation


  1. Calabrese AD: Medication administration errors in adult patients in the ICU. Intensive Care Med. 2001, 27: 1592-8. 10.1007/s001340101065.PubMedView ArticleGoogle Scholar
  2. Donchin Y: A look into the nature and causes of human errors in the intensive care unit. Crit Care Med. Crit Care Med. 1995, 33: 294-300.View ArticleGoogle Scholar
  3. Rothschild JM: The Critical Care Safety Study: the incidence and nature of adverse events and serious medical errors in intensive care. Crit Care Med. 2005, 33: 1694-700. 10.1097/01.CCM.0000171609.91035.BD.PubMedView ArticleGoogle Scholar


© Solodova et al.; 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.