Results 51 to 60 of about 2,629 (193)
ABSTRACT Background Telemedicine in Africa has evolved from small‐scale pilots to an essential tool for enhancing healthcare access, efficiency, and equity. Early efforts faced challenges due to limited infrastructure, high costs, and weak policies. The COVID‐19 pandemic accelerated telemedicine adoption, exposing the need for stronger digital health ...
Areeba Shahid +10 more
wiley +1 more source
rancang bangun server interactive voice response (ivr) pada emergency call [PDF]
interactive voice response(ivr) merupakaan suatu sisitem yang dapat digunakan untuk menerima dan menjawab setiap panggilan telepon secara otomatis sistem ivr dapat merespon panggilan menggunakan suara yang telah direkam terlebih dahulu, kepada layanan ...
wardhana, erik ridho
core
This study presents a comprehensive analysis of Bengali AI resources, including NLP tools, machine translation systems, speech technologies, and benchmarking datasets. The findings highlight fragmented development across tasks and emphasize the need for integrated resources, unified benchmarks, and multimodal datasets to build a scalable and robust ...
Fairooz Maliha +5 more
wiley +1 more source
BackgroundeHealth interventions are effective for weight control and have the potential for broad reach. Little is known about the use of interactive voice response (IVR) technology for self-monitoring in weight control interventions, particularly among ...
Steinberg, Dori M +6 more
doaj +1 more source
ABSTRACT Immersive virtual reality (IVR) is widely promoted as a means of enriching learning in science, technology, engineering, arts and mathematics (STEAM), yet evidence of its capacity to foster equitable classroom experiences for marginalised groups remains limited, particularly outside traditional STEM domains.
Carly Waterhouse‐Boot +1 more
wiley +1 more source
Interavtive Voice Response System
The Interactive Voice Response (IVR) System serves as a bridge between people and computer databases. The IVR system uses prerecorded or computer generated voice responses to provide information in response to an input from a user.
, Ms.Rashmi Janbandhu, M s.Divya Jawle, Ms. Naina Shende, Ms. Akansha Chipde, Mr. Viplove Karhade
core +1 more source
Background: Mobile health (m-health) work in low and middle-income countries (LMICs) mainly consists of pilot programmes with an unclear path to scaling and dissemination.
John D Piette +9 more
doaj +1 more source
Updates of the Status Quo of Situation‐Specific Theories (2015–2025)
ABSTRACT Introduction Situation‐specific theories (SSTs) have emerged as an important approach for bridging the gap between nursing theory, research, and clinical practice. Unlike grand or middle‐range theories, SSTs address specific nursing phenomena within clearly defined populations or contexts.
Dongmi Kim, Eun‐Ok Im
wiley +1 more source
Continuous Temporal Contiguity Narration‐Animation for Learning in Virtual Reality
ABSTRACT Background Temporal contiguity between visual and verbal (narrated) information could strongly influence learning from multimedia animations, especially in the case of a rich visual context such as Virtual Reality. Compared to spatial contiguity, less research has been carried out on the impact of the time lag, for example, the de ...
Laurie Porte +3 more
wiley +1 more source
CATI–Computer Assisted Telephone Interviews; IVR–Interactive Voice Response; CATI→IVR indicates IVR as follow up mode (after CATI first contact). IVR→CATI indicates CATI as follow up mode (after IVR first contact).
Alain B. Labrique (240434) +11 more
core +1 more source

