AIoT: AI meets IoT and Web in Smart Healthcare

Talukder, Asoke K.; Haas, Roland E.

doi:10.1145/3462741.3466650

Cited by 24 publications

(15 citation statements)

References 4 publications

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“…Remote care: surgery and diagnosis [26,27,29,30,34,[36][37][38][39][40][41]45,47,51,53,54,[58][59][60] Real-time continuous monitoring [17,18,[20][21][22][23][24][25]28,32,33,35,42,44,46,[48][49][50]52,[55][56][57]] Data transmission: smart ambulance [19,31,43] 3.1.1. Remote Care: Surgery and Diagnosis Through remote care, healthcare specialists provide medical services remotely via the Internet.…”

Section: Application Area Articlementioning

confidence: 99%

“…Talukder and Haas [60] develop an intelligent care system called Homing. This system consists of a solution to measure the patient's vital parameters, through the use of devices such as wearables, IoT, smartphones, and tablets.…”

Section: Real-time Continuous Monitoringmentioning

confidence: 99%

“…Constant attention and inmediate with intelligent systems[17,18,[20][21][22][23][24][25][26]28,32,33,35,42,44,[48][49][50]52,[55][56][57]60] Specialized medical care in remote areas[27,29,30,34,[36][37][38][39][40][41][45][46][47]53,54,56,58,59] Immediate emergency assistance[19,31,43] …”

mentioning

confidence: 99%

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Smart Healthcare Applications over 5G Networks: A Systematic Review

et al. 2023

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Provisioning of health services such as care, monitoring, and remote surgery is being improved thanks to fifth-generation cellular technology (5G). As 5G expands globally, more smart healthcare applications have been developed due to its extensive eMBB (Enhanced Mobile Broadband) and URLLC (Ultra-Reliable Low Latency Communications) features that can be used to generate healthcare systems that allow minimizing the face-to-face assistance of patients at hospital centers. This powerful network provides high transmission speeds, ultra-low latency, and a network capacity greater than that of 4G. Fifth-generation cellular technology is expected to be a means to provide excellent quality of medical care, through its technological provision to the use of IoMT (Internet of Medical Things) devices. Due to the numerous contributions in research on this topic, it is necessary to develop a review that provides an orderly perspective on research trends and niches for researchers to use as a starting point for their work. In this context, this article presents a systematic review based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), with article selection based on inclusion and exclusion criteria that avoid bias. This research was based on research questions that were answered from the included works. These questions focus on technical characteristics, health benefits, and security protocols necessary for the development of smart healthcare applications. We have identified that a high percentage of existing works in the literature are proposals (56.81%, n = 25) and theoretical studies (22.73%, n = 10); few implementations (15.91%, n = 7) and prototypes (4.55%, n = 2) exist, due to the limited global deployment of 5G. However, the panorama looks promising based on proposals and future work that these technological systems allow, all based on improving healthcare for people.

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Section: Application Area Articlementioning

confidence: 99%

Section: Real-time Continuous Monitoringmentioning

confidence: 99%

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Smart Healthcare Applications over 5G Networks: A Systematic Review

et al. 2023

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“…Goal management includes. (5) • assessment and dissolution of non-rational blocks to success • time management • frequent reconsideration (consistency checks) • feasibility checks • adjusting milestones and main-goal targets Jens Rasmussen and Morten Lind distinguish three fundamental categories of goals related to technological system management. These are(9) 1. production goals 2. safety goals 3. economy goals Organizational goal-management aims for individual employee goals and objectives to align with the vision and strategic goals of the entire organization.…”

Section: Goal Setting Management In Organizationsmentioning

confidence: 99%

An Approach to Assess the Effectiveness of Smart Goals in Achieving Sustainable Business Development.

Swaidi

2023

NILES journal for Geriatric and Gerontology

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Doran first proposed the SMART method for writing effective management objectives. Today, the SMART method in management is regarded as the norm for establishing effective, measurable goals and objectives. Although developed within management, the SMART method is widely referenced in the literature on program planning and evaluation. In addition, the Centers for Disease Control and Prevention's program planning/evaluation guides recommend using SMART criteria when developing program goals and objectives. (1).The use of the SMART method in the evaluation and non-profit organization guidance supports the claim that SMART is now a standard technique for establishing program objectives. The advantage of mainstreaming is that a greater number of programs, particularly those with limited resources, can apply evaluation fundamentals to monitor and improve their programs. (3)

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“…A consensus study from the National Academy of Medicine [ 3 ] has revealed that medical record documentation and coding requirements are one of the main reasons of physician burnouts. AI can help to reduce this workload and mitigate the risk of burnouts [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Diseasomics: Actionable machine interpretable disease knowledge at the point-of-care

Talukder

Ghosh²,

Biswas³

et al. 2022

PLOS Digit Health

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Physicians establish diagnosis by assessing a patient’s signs, symptoms, age, sex, laboratory test findings and the disease history. All this must be done in limited time and against the backdrop of an increasing overall workload. In the era of evidence-based medicine it is utmost important for a clinician to be abreast of the latest guidelines and treatment protocols which are changing rapidly. In resource limited settings, the updated knowledge often does not reach the point-of-care. This paper presents an artificial intelligence (AI)-based approach for integrating comprehensive disease knowledge, to support physicians and healthcare workers in arriving at accurate diagnoses at the point-of-care. We integrated different disease-related knowledge bodies to construct a comprehensive, machine interpretable diseasomics knowledge-graph that includes the Disease Ontology, disease symptoms, SNOMED CT, DisGeNET, and PharmGKB data. The resulting disease-symptom network comprises knowledge from the Symptom Ontology, electronic health records (EHR), human symptom disease network, Disease Ontology, Wikipedia, PubMed, textbooks, and symptomology knowledge sources with 84.56% accuracy. We also integrated spatial and temporal comorbidity knowledge obtained from EHR for two population data sets from Spain and Sweden respectively. The knowledge graph is stored in a graph database as a digital twin of the disease knowledge. We use node2vec (node embedding) as digital triplet for link prediction in disease-symptom networks to identify missing associations. This diseasomics knowledge graph is expected to democratize the medical knowledge and empower non-specialist health workers to make evidence based informed decisions and help achieve the goal of universal health coverage (UHC). The machine interpretable knowledge graphs presented in this paper are associations between various entities and do not imply causation. Our differential diagnostic tool focusses on signs and symptoms and does not include a complete assessment of patient’s lifestyle and health history which would typically be necessary to rule out conditions and to arrive at a final diagnosis. The predicted diseases are ordered according to the specific disease burden in South Asia. The knowledge graphs and the tools presented here can be used as a guide.

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AIoT: AI meets IoT and Web in Smart Healthcare

Cited by 24 publications

References 4 publications

Smart Healthcare Applications over 5G Networks: A Systematic Review

Smart Healthcare Applications over 5G Networks: A Systematic Review

An Approach to Assess the Effectiveness of Smart Goals in Achieving Sustainable Business Development.

Diseasomics: Actionable machine interpretable disease knowledge at the point-of-care

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