scholarly journals PMH56 INNOVATIONS IN COMBINING PATIENT REPORTED OUTCOMES WITH COGNITIVE TESTING DATA TO STREAMLINE AND LEVERAGE REAL-TIME DATA COLLECTION

2010 ◽  
Vol 13 (7) ◽  
pp. A456
Author(s):  
C Curry
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Patient Reported Outcomes ◽  
Cognitive Testing ◽  
Time Data ◽  
Patient Reported ◽  
Testing Data ◽  
Real Time Data

scholarly journals “I Like the Idea of It…But Probably Wouldn’t Use It” - Health Care Provider Perspectives on Heart Failure mHealth: Qualitative Study (Preprint)

2020 ◽  
Author(s):  
Jennifer Dickman Portz ◽  
Kelsey Lynett Ford ◽  
Kira Elsbernd ◽  
Christopher E Knoepke ◽  
Kelsey Flint ◽  
...  
Keyword(s):  
Heart Failure ◽  
Health Care ◽  
Qualitative Study ◽  
Real Time ◽  
Health Care Providers ◽  
Patient Reported Outcomes ◽  
Care Providers ◽  
Time Data ◽  
Patient Reported ◽  
Real Time Data

BACKGROUND Many mobile health (mHealth) technologies exist for patients with heart failure (HF). However, HF mhealth lacks evidence of efficacy, caregiver involvement, and clinically useful real-time data. OBJECTIVE We aim to capture health care providers’ perceived value of HF mHealth, particularly for pairing patient–caregiver-generated data with clinical intervention to inform the design of future HF mHealth. METHODS This study is a subanalysis of a larger qualitative study based on interviewing patients with HF, their caregivers, and health care providers. This analysis included interviews with health care providers (N=20), focusing on their perceived usefulness of HF mHealth tools and interventions. RESULTS A total of 5 themes emerged: (1) bio-psychosocial-spiritual monitoring, (2) use of sensors, (3) interoperability, (4) data sharing, and (5) usefulness of patient-reported outcomes in practice. Providers remain interested in mHealth technologies for HF patients and their caregivers. However, providers report being unconvinced of the clinical usefulness of robust real-time patient-reported outcomes. CONCLUSIONS The use of assessments, sensors, and real-time data collection could provide value in patient care. Future research must continually explore how to maximize the utility of mHealth for HF patients, their caregivers, and health care providers.

scholarly journals “I Like the Idea of It…But Probably Wouldn’t Use It” - Health Care Provider Perspectives on Heart Failure mHealth: Qualitative Study

JMIR Cardio ◽  
10.2196/18101 ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. e18101
Author(s):  
Jennifer Dickman Portz ◽  
Kelsey Lynett Ford ◽  
Kira Elsbernd ◽  
Christopher E Knoepke ◽  
Kelsey Flint ◽  
...  
Keyword(s):  
Heart Failure ◽  
Health Care ◽  
Qualitative Study ◽  
Real Time ◽  
Health Care Providers ◽  
Patient Reported Outcomes ◽  
Care Providers ◽  
Time Data ◽  
Patient Reported ◽  
Real Time Data

Background Many mobile health (mHealth) technologies exist for patients with heart failure (HF). However, HF mhealth lacks evidence of efficacy, caregiver involvement, and clinically useful real-time data. Objective We aim to capture health care providers’ perceived value of HF mHealth, particularly for pairing patient–caregiver-generated data with clinical intervention to inform the design of future HF mHealth. Methods This study is a subanalysis of a larger qualitative study based on interviewing patients with HF, their caregivers, and health care providers. This analysis included interviews with health care providers (N=20), focusing on their perceived usefulness of HF mHealth tools and interventions. Results A total of 5 themes emerged: (1) bio-psychosocial-spiritual monitoring, (2) use of sensors, (3) interoperability, (4) data sharing, and (5) usefulness of patient-reported outcomes in practice. Providers remain interested in mHealth technologies for HF patients and their caregivers. However, providers report being unconvinced of the clinical usefulness of robust real-time patient-reported outcomes. Conclusions The use of assessments, sensors, and real-time data collection could provide value in patient care. Future research must continually explore how to maximize the utility of mHealth for HF patients, their caregivers, and health care providers.

The Study of Motor Winding Testing System for Inter-Turn with 30kV

2013 ◽  
Vol 278-280 ◽  
pp. 831-834 ◽  
Author(s):  
Xiao Sun ◽  
Hao Zhou ◽  
Xiang Jiang Lu ◽  
Yong Yang
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Field Test ◽  
Performance Indicators ◽  
Testing System ◽  
Time Data ◽  
Process Data ◽  
Real Time Data ◽  
Long Time ◽  
Factory Testing

This paper designed a motor winding testing system, it can do the dielectric withstand voltage test of inter-turn under 30kV.The system can communicate effectively between PC and machine, by using the PC's powerful capacity of process data and PLC's better stability and the Labview's convenient UI. So the system has real-time data collection, preservation, analysis and other characteristics. This system is able to achieve factory testing and type testing of the motor windings facilitating. Various performance indicators were stable and reliable by field test during a long time.

It’s in the Cards: A Practice-Friendly, Real-Time Data Collection Strategy for Quality Improvement

2005 ◽  
Vol 31 (1) ◽  
pp. 54-58 ◽  
Author(s):  
James L. Wofford ◽  
James R. Kimberly ◽  
William P. Moran ◽  
David P. Miller ◽  
Jerry L. Hopping ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Data Collection ◽  
Real Time ◽  
Time Data ◽  
Data Collection Strategy ◽  
Real Time Data

scholarly journals Nature-Inspired Drone Swarming for Real-Time Aerial Data-Collection Under Dynamic Operational Constraints

Drones ◽  
2019 ◽  
Vol 3 (3) ◽  
pp. 71 ◽  
Author(s):  
Hanno Hildmann ◽  
Ernö Kovacs ◽  
Fabrice Saffre ◽  
A. F. Isakovic
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Precision Agriculture ◽  
Computational Cost ◽  
Civil Defense ◽  
Time Data ◽  
Communication Infrastructure ◽  
Distributed Approach ◽  
Nature Inspired Algorithm ◽  
Real Time Data

Unmanned Aerial Vehicles (UAVs) with acceptable performance are becoming commercially available at an affordable cost. Due to this, the use of drones for real-time data collection is becoming common practice by individual practitioners in the areas of e.g., precision agriculture and civil defense such as fire fighting. At the same time, as UAVs become a house-hold item, a plethora of issues—which can no longer be ignored and considered niche problems—are coming of age. These range from legal and ethical questions to technical matters such as how to implement and operate a communication infrastructure to maintain control over deployed devices. With these issues being addressed, approaches that focus on enabling collectives of devices to operate semi-autonomously are also increasing in relevance. In this article we present a nature-inspired algorithm that enables a UAV-swarm to operate as a collective which provides real-time data such as video footage. The collective is able to autonomously adapt to changing resolution requirements for specific locations within the area under surveillance. Our distributed approach significantly reduces the requirements on the communication infrastructure and mitigates the computational cost otherwise incurred. In addition, if the UAVs themselves were to be equipped with even rudimentary data-analysis capabilities, the swarm could react in real-time to the data it generates and self-regulate which locations within its operational area it focuses on. The approach was tested in a swarm of 25 UAVs; we present out preliminary performance evaluation.

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