Design of a Real-Time and Continua-Based Framework for Care Guideline Recommendations
- A real-time and personalized vital signs state monitoring/predicting model, called vital signs state predictor (VSP), is provided to predict the vital signs states, give alarms when needed, and recommend related care guidelines to caregivers. In addition, data streaming is also integrated into the VSP model so that it always uses the latest data.
- Cagurs can reduce the amount of work that caregivers need to do and can help caregivers improve the efficiency and quality of patient care, and utilizes mobile devices to provide remote care for patients.
- Cagurs streamlines the repetitive process of vital signs measurement, while the interoperability and connectivity of the system enables it to save and transmit the vital signs data automatically.
- Cagurs has undergone a practical evaluation by caregivers at National Cheng Kung University Hospital, and these users then provides some feedback and suggestions about the system. In addition, the effectiveness of VSP has been demonstrated based on vital signs state predictions made using a publicly available vital signs dataset (obtained from the University of Queensland ). The results show that Cagurs can successfully deal with the challenging problem of predicting vital signs states.
2. Related Works
2.1. Continua Health Alliance
2.2. Health Device Profile and Bluetooth Low Energy
2.3. Mobile Devices in Patient Care
2.4. Data Mining in Healthcare
3. Framework Design
3.1. Overview of System Use
3.2. Healthcare System
3.3. Vital Signs State Predictor
3.3.2. Mining Frequent Episodes
|Blood Pressure (mmHg)|
|Stage 1 hypertension||140–159||90–99|
|Stage 2 hypertension||≥160||≥100|
|Heart Rate (bpm)|
3.3.3. The Vital Signs State Predictor
3.3.4. Dynamic Updating of the VSP
- Events deletion
- Events addition
4. Experiments and Evaluation
4.1. Practical Evaluation of Cagurs
4.2. Experiments on Real Data
|Vital Signs||Abbreviation||Vital Signs||Abbreviation|
|Stage 1 hypertension||BP_H1||Tachycardia||Pulse_H|
|Stage 2 hypertension||BP_H2||Bradycardia||Pulse_L|
|(Tachycardia Prehypertension) → Prehypertension|
|(Tachycardia), (Prehypertension) → Prehypertension|
|(Hypertension_I) → (Hypertension_I)|
|(Tachycardia) → (Prehypertension)|
|(Tachycardia), (Tachycardia) → (Prehypertension)|
|(Tachycardia) → (Tachycardia Prehypertension)|
|(Prehypertension) → (Tachycardia)|
|(Prehypertension) → (Tachycardia, Prehypertension)|
5. Conclusions and Future Work
Conflicts of Interest
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Lin, Y.-F.; Shie, H.-H.; Yang, Y.-C.; Tseng, V.S. Design of a Real-Time and Continua-Based Framework for Care Guideline Recommendations. Int. J. Environ. Res. Public Health 2014, 11, 4262-4279. https://doi.org/10.3390/ijerph110404262
Lin Y-F, Shie H-H, Yang Y-C, Tseng VS. Design of a Real-Time and Continua-Based Framework for Care Guideline Recommendations. International Journal of Environmental Research and Public Health. 2014; 11(4):4262-4279. https://doi.org/10.3390/ijerph110404262Chicago/Turabian Style
Lin, Yu-Feng, Hsin-Han Shie, Yi-Ching Yang, and Vincent S. Tseng. 2014. "Design of a Real-Time and Continua-Based Framework for Care Guideline Recommendations" International Journal of Environmental Research and Public Health 11, no. 4: 4262-4279. https://doi.org/10.3390/ijerph110404262