Abstract
This article presents an integration project between the anesthetic station used in the step of trans-operative (life signals multiparameter monitor, anesthesia device and controlled target infusion pump) and the system of hospital information. The main goal of this project is to capture in an automatic way the vital signals from the medical equipment and the records trans-operatives and provide an anesthesia record to be storage in the patient’s electronic medical record (PEMR). The integration mode is through a gateway that execute the conversion of the machine - specific language into data/information of the HL7 standard. This interaction will allow to integrate data and information from multiparametric monitors, anesthesia devices, Controlled target Infusion pumps and the intra-operative anesthesiologist inputs.
Highlights
The patient’s record is a mandatory document in Health Assistance Establishment and is considered an extremely important tool that requires a mechanism of follow up of the data inserted in it
A medical record system is represented by a series of components that form mechanisms so the records can be created, used, stored, and accessed as part of a hospital information system (HIS).[3]
The suggested method was applied in a private, nonprofit hospital that has around 400 hospital beds and is located in the capital of Rio Grande do Sul
Summary
The patient’s record is a mandatory document in Health Assistance Establishment and is considered an extremely important tool that requires a mechanism of follow up of the data inserted in it. It has been claimed that a combination of Information Technology (IT) devices such as computers, communication networks, medical information, and online electronic data can improve the quality and decisions concerning health care. There are examples of software development that consists of the data integration of monitoring parameters during anesthesia and a group of rules configured by the anesthesiologist. Alerts generated by the software provide important information about the patient’s condition and eventual risk situations which wouldn't be highlighted if only the individual alarms of the parameters coming from the monitors were considered.[4]
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