Artificial intelligence assisted acute patient journey
Artificial intelligence is taking the world by storm and soon will be aiding patients in their journey at the hospital. The trials and tribulations of the healthcare system during the COVID-19 pandemic have set the stage for shifting healthcare from a physical to a cyber-physical space. A physician...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Artificial Intelligence |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2022.962165/full |
| _version_ | 1811181371593326592 |
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| author | Talha Nazir Muhammad Mushhood Ur Rehman Muhammad Roshan Asghar Junaid S. Kalia Junaid S. Kalia |
| author_facet | Talha Nazir Muhammad Mushhood Ur Rehman Muhammad Roshan Asghar Junaid S. Kalia Junaid S. Kalia |
| author_sort | Talha Nazir |
| collection | DOAJ |
| description | Artificial intelligence is taking the world by storm and soon will be aiding patients in their journey at the hospital. The trials and tribulations of the healthcare system during the COVID-19 pandemic have set the stage for shifting healthcare from a physical to a cyber-physical space. A physician can now remotely monitor a patient, admitting them only if they meet certain thresholds, thereby reducing the total number of admissions at the hospital. Coordination, communication, and resource management have been core issues for any industry. However, it is most accurate in healthcare. Both systems and providers are exhausted under the burden of increasing data and complexity of care delivery, increasing costs, and financial burden. Simultaneously, there is a digital transformation of healthcare in the making. This transformation provides an opportunity to create systems of care that are artificial intelligence-enabled. Healthcare resources can be utilized more justly. The wastage of financial and intellectual resources in an overcrowded healthcare system can be avoided by implementing IoT, telehealth, and AI/ML-based algorithms. It is imperative to consider the design principles of the patient's journey while simultaneously prioritizing a better user experience to alleviate physician concerns. This paper discusses the entire blueprint of the AI/ML-assisted patient journey and its impact on healthcare provision. |
| first_indexed | 2024-04-11T09:15:35Z |
| format | Article |
| id | doaj.art-066a8766b7bc4a35ab261cae2cfc605c |
| institution | Directory Open Access Journal |
| issn | 2624-8212 |
| language | English |
| last_indexed | 2024-04-11T09:15:35Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj.art-066a8766b7bc4a35ab261cae2cfc605c2022-12-22T04:32:20ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122022-10-01510.3389/frai.2022.962165962165Artificial intelligence assisted acute patient journeyTalha Nazir0Muhammad Mushhood Ur Rehman1Muhammad Roshan Asghar2Junaid S. Kalia3Junaid S. Kalia4Research Fellow, NeuroCare.AI Neuroscience Academy, Dallas, TX, United StatesResearch Fellow, NeuroCare.AI Neuroscience Academy, Dallas, TX, United StatesResearch Fellow, NeuroCare.AI Neuroscience Academy, Dallas, TX, United StatesNeuroCare.AI, Dallas, TX, United StatesNeurologypocketbook.com, Dallas, TX, United StatesArtificial intelligence is taking the world by storm and soon will be aiding patients in their journey at the hospital. The trials and tribulations of the healthcare system during the COVID-19 pandemic have set the stage for shifting healthcare from a physical to a cyber-physical space. A physician can now remotely monitor a patient, admitting them only if they meet certain thresholds, thereby reducing the total number of admissions at the hospital. Coordination, communication, and resource management have been core issues for any industry. However, it is most accurate in healthcare. Both systems and providers are exhausted under the burden of increasing data and complexity of care delivery, increasing costs, and financial burden. Simultaneously, there is a digital transformation of healthcare in the making. This transformation provides an opportunity to create systems of care that are artificial intelligence-enabled. Healthcare resources can be utilized more justly. The wastage of financial and intellectual resources in an overcrowded healthcare system can be avoided by implementing IoT, telehealth, and AI/ML-based algorithms. It is imperative to consider the design principles of the patient's journey while simultaneously prioritizing a better user experience to alleviate physician concerns. This paper discusses the entire blueprint of the AI/ML-assisted patient journey and its impact on healthcare provision.https://www.frontiersin.org/articles/10.3389/frai.2022.962165/fullartificial intelligenceacute patient journeyelectronic-triagehealth IoTAutomated EMR summaryAI-based clinical decision support system |
| spellingShingle | Talha Nazir Muhammad Mushhood Ur Rehman Muhammad Roshan Asghar Junaid S. Kalia Junaid S. Kalia Artificial intelligence assisted acute patient journey Frontiers in Artificial Intelligence artificial intelligence acute patient journey electronic-triage health IoT Automated EMR summary AI-based clinical decision support system |
| title | Artificial intelligence assisted acute patient journey |
| title_full | Artificial intelligence assisted acute patient journey |
| title_fullStr | Artificial intelligence assisted acute patient journey |
| title_full_unstemmed | Artificial intelligence assisted acute patient journey |
| title_short | Artificial intelligence assisted acute patient journey |
| title_sort | artificial intelligence assisted acute patient journey |
| topic | artificial intelligence acute patient journey electronic-triage health IoT Automated EMR summary AI-based clinical decision support system |
| url | https://www.frontiersin.org/articles/10.3389/frai.2022.962165/full |
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