A REVIEW ON PATIENT-CONTROLLED ANALGESIA INFUSION SYSTEM


Usha Rani Shola, Neela Narayanan V

Abstract


PCA is a patient-controlled analgesia infusion pump, which is used to infuse the medicine into the patients after surgery. It contains a syringe with pain medicine to infuse that is prescribed by the physician. The drugs used for pain control are high-alert medicines, since overmedication may cause death to the patients. These types of unbearable events may happen due to medical errors, prescription errors, adverse events (AEs), etc. Hence, it requires a precautionary attention or continuous monitoring for PCA pump infusion patients. However, always physicians or nurses may not monitor a patient continuously. To provide safety to the patient, the PCA pump needs a smart care process to alert the physician. This study represents the survey on PCA pump errors, AEs, and solutions for it to avoid them. The solution will automatically alert the infusion-related situation of the patients, those are taking the intravenous drug infusion at different procedure rooms in the hospitals. Moreover, it increases the safety to infusion pump with advances of decision-making in health, patient monitoring, alert notification to nursing, and productivity. This quality care can be achieved by integrating the PCA pump with other intelligent systems.

  


Keywords


Bar-coded medication administration system, Computerized provider order entry, Electronic medication administration record, Interoperability, Patient-controlled analgesia.

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About this article

Title

A REVIEW ON PATIENT-CONTROLLED ANALGESIA INFUSION SYSTEM

Keywords

Bar-coded medication administration system, Computerized provider order entry, Electronic medication administration record, Interoperability, Patient-controlled analgesia.

DOI

10.22159/ajpcr.2017.v10s1.19588

Date

01-04-2017

Additional Links

Manuscript Submission

Journal

Asian Journal of Pharmaceutical and Clinical Research
Special Issue April 2017 Page: 117-121

Print ISSN

0974-2441

Online ISSN

2455-3891

Statistics

367 Views | 169 Downloads

Authors & Affiliations

Usha Rani Shola
School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India
India

Neela Narayanan V
School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India
India


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