Comput. Biol. Med. - Smart medical environment at the point of care: auto-tracking clinical interventions at the bed side using RFID technology.

Tópicos

{ care(1570) inform(1187) nurs(1089) }
{ medic(1828) order(1363) alert(1069) }
{ control(1307) perform(991) simul(935) }
{ cost(1906) reduc(1198) effect(832) }
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{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
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{ patient(2837) hospit(1953) medic(668) }
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{ time(1939) patient(1703) rate(768) }
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Resumo

We developed a wireless auto-tracking system for tracking clinical intervention such as drug administrations and blood tests at the patient bedside. The system can not only authenticate patients and nurses, but also confirm medications and provide relevant information, depending on the clinical situation and personnel location. We conducted a feasibility experiment and examined whether or not the system could work as a patient safety measure in terms of reducing misidentifications of patients and medical errors including wrong medication type, dose, time, and route. Also, the duration of clinical interventions in the system were measured to compare with the BCMA system. Moreover, we conducted a qualitative evaluation with nurses and received feedback clarifying their perceptions of the system. The results showed that the system correctly recognized medical staff, patient ID, and medication data in real time. With regards to workflow time, a significant reduction of time of clinical interventions was observed, when compared to a bar-coding system. In addition, on the nurses' evaluation, we received mostly positive comments although they also clarified some issues to consider with regards to operability and privacy issues. We concluded that the system had great potential for reducing medical errors and nurse workload with high efficiency.

Resumo Limpo

develop wireless autotrack system track clinic intervent drug administr blood test patient bedsid system can authent patient nurs also confirm medic provid relev inform depend clinic situat personnel locat conduct feasibl experi examin whether system work patient safeti measur term reduc misidentif patient medic error includ wrong medic type dose time rout also durat clinic intervent system measur compar bcma system moreov conduct qualit evalu nurs receiv feedback clarifi percept system result show system correct recogn medic staff patient id medic data real time regard workflow time signific reduct time clinic intervent observ compar barcod system addit nurs evalu receiv most posit comment although also clarifi issu consid regard oper privaci issu conclud system great potenti reduc medic error nurs workload high effici

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