CEA: Clinical Event Annotator mHealth Application for Real-time Patient Monitoring

Nizami, Shermeen; Basharat, Amna; Shoukat, Arslan; Hameed, Uzair; Raza, Syed Ali; Bekele, Amente; Giffen, Randy; Green, James R.

doi:10.1109/embc.2018.8512898

Cited by 10 publications

(5 citation statements)

References 9 publications

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“…Presently, there are more than 165,500 smartphone apps specifically related to health services, and one in five people have downloaded such mHealth apps [ 14 ]. The Clinical Event Annotator app for real-time patient monitoring [ 15 ]; the Mozzify app, featuring Dengue fever case reporting, a mapping system, and behavioral modification through reminders [ 16 ]; and the See Me Smoke-Free app [ 17 ] for smoking cessation, eating a healthy diet, and increasing physical activity are just a few of the many mHealth apps that tackle lifestyle issues in an efficient manner. Such apps have turned mobile devices into personal laboratories that have the potential to consistently assess a person’s physiology, behavior, social context, and environmental exposure [ 18 ].…”

Section: Discussionmentioning

confidence: 99%

An Innovative App (ExoDont) for Postoperative Care of Patients After Tooth Extraction: Prototype Development and Testing Study

Krishna¹,

Sybil²,

Shrivastava³

et al. 2021

JMIR Perioper Med

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Background The postoperative period is crucial for the initiation of healing and prevention of complications after any surgical procedure. Due to factors such as poor compliance, comprehension, and retention of instructions, and other unaccounted factors, the objectives of postoperative care are not always achieved. Therefore, an Android-based mobile health app (ExoDont) was developed to ensure a smooth postoperative period for patients after a dental extraction. The ExoDont app delivers reminders for postoperative instructions and drug intake at defined intervals, thus fostering self-reliance among patients in taking their prescribed dose of medication. Objective The aim of this study is to design, develop, and validate ExoDont, an innovative app for improved adherence to postoperative instructions after tooth extraction. Methods A postoperative treatment protocol was developed by a team of oral and maxillofacial surgeons and general dentists, following which the clinical and technological requirements of the app were determined along with the software engineers, graphic designers, and applications architect in the team. ExoDont was developed to provide timely reminders for medication and postoperative care. The app was field tested and validated using the User Version of the Mobile Application Rating Scale. Results The ExoDont software design was divided into a 3-level architecture comprising a user interface application, logical layer, and database layer. The software architecture consists of an Android-based ExoDont app for patients and a web version of the admin panel. The testing and validation of the ExoDont app revealed that Perceived Impact received the highest mean score of all rated components (mean 4.6, SD 0.5), while Engagement received the lowest mean score (mean 3.5, SD 0.8). Conclusions The testing and validation of the app support its usability and functionality, as well as its impact on users. The ExoDont app has been designed, keeping the welfare of patients in view, in a user-friendly manner that will help patients adhere to the prescribed drug regimen and ensure easy and efficient dissemination of postoperative instructions. It could play an instrumental role in fostering compliance among patients and significantly decrease the complication rate following dental extractions.

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Section: Discussionmentioning

confidence: 99%

An Innovative App (ExoDont) for Postoperative Care of Patients After Tooth Extraction: Prototype Development and Testing Study

Krishna¹,

Sybil²,

Shrivastava³

et al. 2021

JMIR Perioper Med

View full text Add to dashboard Cite

show abstract

“…Furthermore, the system has a GPS positioning feature. After downloading to the cloud server, brainwaves and GPS data will be integrated and analyzed to remind drivers of drivers within 20 m. (Nizami et al, 2018) This research has developed a mobile application called the Clinical Event Notebook (mHealth) application (app) (CEA). A native Android tablet app and an web application are included in the CEA.…”

Section: Cai Et Al 2020mentioning

confidence: 99%

Systematic Review of Mobile Database Systems for Green Mobile Computing Ecosystem

Igulu

2021

CJACSIT

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Access to essential and corporate information through mobile devices has become a routine activity. Vehicle navigation systems, like audio systems, are becoming standard equipment. These devices are very handy and user-friendly and such users can access needed information from databases from any location, anytime utilizing wireless and cellular communications. This study systematically reviews Mobile Database Systems for Green Mobile Computing Ecosystem. 343 papers where sourced. 42 of them made it to the final stage. 341 were excluded based on title and abstract. We presented the review in a table. 90% of the work focused on MDS and 10 on GMC. The study shows that Green Mobile Database Systems has very few literatures and it is a promising research niche.

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“…Because the proposed memory reclamation policy in this paper eliminates the unpredictable delay of SQLite using a proactive approach, it will serve well these medical systems that need real-time decision-making and fast responsiveness. SQLite is not only used as a backend database component in the blockchain based health data management systems [20], but also used in real-time patient monitoring to store data in a local database [21]. In addition, SQLite serves as a database engine within an audit system that detects data corruption such as healthcare data breaches in web-based data service platforms [22].…”

Section: Related Workmentioning

confidence: 99%

Taming Performance Variability of Healthcare Data Service Frameworks with Proactive and Coarse-Grained Memory Cleaning

Lee

2019

IJERPH

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This article explores the performance optimizations of an embedded database memory management system to ensure high responsiveness of real-time healthcare data frameworks. SQLite is a popular embedded database engine extensively used in medical and healthcare data storage systems. However, SQLite is essentially built around lightweight applications in mobile devices, and it significantly deteriorates when a large transaction is issued such as high resolution medical images or massive health dataset, which is unlikely to occur in embedded systems but is quite common in other systems. Such transactions do not fit in the in-memory buffer of SQLite, and SQLite enforces memory reclamation as they are processed. The problem is that the current SQLite buffer management scheme does not effectively manage these cases, and the naïve reclamation scheme used significantly increases the user-perceived latency. Motivated by this limitation, this paper identifies the causes of high latency during processing of a large transaction, and overcomes the limitation via proactive and coarse-grained memory cleaning in SQLite.The proposed memory reclamation scheme was implemented in SQLite 3.29, and measurement studies with a prototype implementation demonstrated that the SQLite operation latency decreases by 13% on an average and up to 17.3% with our memory reclamation scheme as compared to that of the original version.

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CEA: Clinical Event Annotator mHealth Application for Real-time Patient Monitoring

Cited by 10 publications

References 9 publications

An Innovative App (ExoDont) for Postoperative Care of Patients After Tooth Extraction: Prototype Development and Testing Study

An Innovative App (ExoDont) for Postoperative Care of Patients After Tooth Extraction: Prototype Development and Testing Study

Systematic Review of Mobile Database Systems for Green Mobile Computing Ecosystem

Taming Performance Variability of Healthcare Data Service Frameworks with Proactive and Coarse-Grained Memory Cleaning

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