企業應用案例

慧德科技-臨床照護管理系統 呼吸照護

2016-02-25

 

應用或服務概述

先進生理資訊傳輸系統(簡稱APTS)，可整合各種生理量測設備，自動擷取數據，並將資料上傳與應用。 以呼吸器整合應用稱為APTS_V，V代表的是呼吸器Ventilator。主要應用者為呼吸治療師(RT)。

 

慧德科技所研發的APTS_V，提供完整呼吸照護解決方案，可將病患呼吸生理數值透過平板、網頁管理平台經雲端伺服器與醫院資訊系統介接。

 

醫療照護團隊可透過平板與網頁進行呼吸照護與管理。架構圖如下:

 

Advanced physiological data system (APTS). Our system retrieves vital data from medical equipment and provides user friendly applications and monitoring systems for therapist, doctors and nurses. APTS_V, specifically built for respiratory therapists, retrieves and sorts useful data from ventilators, display and managed through both app on mobile tablets and web based software on PC platforms. While being able to upload directly into Hospital Information Systems and provide analytical trends to doctors and for research purposes. 

 

 

應用場域說明

此系統可應用於醫院與各醫學中心之呼吸病房與加護病房。每床均會配置一台呼吸器，依照病床數的多寡，此系統可將單一呼吸器的生理數據上傳、傳輸並應用，透過智慧型手持裝置如平板，可將資料傳輸至醫護人員的手中。醫護人員透過手持裝置可進一步了解病患之健康狀態，亦可透過電腦進行病患資訊管理。

應用數量依照每醫院之病床數量而定，可以是單一病房，甚至是各樓層之間的病房資料連結與傳輸，規模可達幾百床甚至上千床，依醫院規模不等。

To be deployed in ICU/ward of hospitals and medical centers. A typical Intensive Care Unit usually consists of 20-30 beds, each with one ventilator. With each ventilator we connect our wifi gateway, uploading the respiratory data into our APTS_V server stationed in the hospital computer/server facility. Respiratory therapists can obtain and monitor patient respiratory data through tablets while moving and/or through stationary PC installed with our app and web based software platform.

    Our deployment could extent to multiple units and ward areas within the entire hospital with wifi connectivity, up to hundreds of ventilators and multi floor care units.

 

應用試煉效益

  • 照護表單電子化、轉院內病歷
  • 呼吸器數據自動擷取,減少表單抄寫
  • 增加照護時間，提高人員成本效益
  • 提升照護品質，可服務更多病患
  • 完整記錄警報，可調閱病人歷史數據，協助職務交接及管理
  • 提供醫護人員完整的呼吸資料比對及醫囑狀態顯示，便於調整用藥及設備使用參考
  • 雲端管理數據可提供醫護人員做個案研究管理與報告

 

  • Electronic patient records and forms
  • Auto data acquisition saves labor writing and typing hrs
  • Minimizing administrative work means more time to attend patient care giving thus increase in overall efficiency and productivity
  • Increasing number of patients versus per care giver
  • Continuous data and records deliver transition and management efficiency
  • Continuous data collection provides key factors in the improvement of treatment and prescription methods.
  • Big data mining for medical and research purpose

 

物聯網特色說明

根據美國ECRI 每年發佈的十大警訊與醫療儀器連線相關的問題至少都有三項, 足以證明醫療互聯網在建置時應該完整規畫, 否則更容易因為系統的複雜與不完整影響病人安全。

從臨床醫護人員的角度，物聯網系統可隨時掌握病人的生命徵象，了解病人所在位置，以利即時治療照護和急救；同時將這些生命徵象整合導入自動化流程，亦可提昇照護品質，增進病人康復速度。

從設備管理的角度，物聯網系統可即時上傳醫療儀器資料，實現無紙化作業，了解儀器使用率並降低工作人員儀器點班交接時間，減少人為錯誤。

最後讓患者、儀器、工作人員三個醫院最重要元素，能做到更安全的醫療照護（Right care）、更具水準的醫事人員（Right provider）、產出更高醫療價值與降低醫療成本（Right value）以及更多創新（Right Innovation）醫療應用，同時結合醫院的其他資訊系統如PACS, LIS, NIS等。必可做為醫療或醫學大數據之最佳應用。

According to ECRI, various problems continue to occur in the connectivity of medical equipment which points out the need of improvement in the establishment of IoT for medical applications. The complication and imperfection of the system poses serious threats to the welfare of patients. From the caretakers point of view, IoT is able to give real time feedback of patient vital signs and locations which benefits prompt medical attention and treatments. The automation of these vital data helps to improve the quality of the medical care.

    From the management point of view, IoT of medical equipment not only provide better understand of medical equipment adaptation but improve cost efficiency of medical human resources by cutting down manual labor while increase accuracy of the data recorded. Thus achieving the ultimate goal of giving the patient“right care” by the“right provider” with the “right innovation”resulting the “right value”.

    By combining other information system of hospitals such as the PACs, LIS, and NIS, the data accumulated can also be used for big data mining with medical research and development purposes.

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