Challenges and opportunities of big data analytics in healthcare
Abstract Data science is an interdisciplinary discipline that employs big data, machine learning algorithms, data mining techniques, and scientific methodologies to extract insights and information from massive amounts of structured and unstructured data. The healthcare industry constantly creates l...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-10-01
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| Series: | Health Care Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/hcs2.66 |
| _version_ | 1797652062829281280 |
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| author | Priyanshi Goyal Rishabha Malviya |
| author_facet | Priyanshi Goyal Rishabha Malviya |
| author_sort | Priyanshi Goyal |
| collection | DOAJ |
| description | Abstract Data science is an interdisciplinary discipline that employs big data, machine learning algorithms, data mining techniques, and scientific methodologies to extract insights and information from massive amounts of structured and unstructured data. The healthcare industry constantly creates large, important databases on patient demographics, treatment plans, results of medical exams, insurance coverage, and more. The data that IoT (Internet of Things) devices collect is of interest to data scientists. Data science can help with the healthcare industry's massive amounts of disparate, structured, and unstructured data by processing, managing, analyzing, and integrating it. To get reliable findings from this data, proper management and analysis are essential. This article provides a comprehensive study and discussion of process data analysis as it pertains to healthcare applications. The article discusses the advantages and disadvantages of using big data analytics (BDA) in the medical industry. The insights offered by BDA, which can also aid in making strategic decisions, can assist the healthcare system. |
| first_indexed | 2024-03-11T16:24:42Z |
| format | Article |
| id | doaj.art-f993c15259294ad4ad9ce8e97ae5a2c0 |
| institution | Directory Open Access Journal |
| issn | 2771-1757 |
| language | English |
| last_indexed | 2024-03-11T16:24:42Z |
| publishDate | 2023-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Health Care Science |
| spelling | doaj.art-f993c15259294ad4ad9ce8e97ae5a2c02023-10-24T13:39:56ZengWileyHealth Care Science2771-17572023-10-012532833810.1002/hcs2.66Challenges and opportunities of big data analytics in healthcarePriyanshi Goyal0Rishabha Malviya1Department of Pharmacy, School of Medical and Allied Sciences Galgotias University Greater Noida UP IndiaDepartment of Pharmacy, School of Medical and Allied Sciences Galgotias University Greater Noida UP IndiaAbstract Data science is an interdisciplinary discipline that employs big data, machine learning algorithms, data mining techniques, and scientific methodologies to extract insights and information from massive amounts of structured and unstructured data. The healthcare industry constantly creates large, important databases on patient demographics, treatment plans, results of medical exams, insurance coverage, and more. The data that IoT (Internet of Things) devices collect is of interest to data scientists. Data science can help with the healthcare industry's massive amounts of disparate, structured, and unstructured data by processing, managing, analyzing, and integrating it. To get reliable findings from this data, proper management and analysis are essential. This article provides a comprehensive study and discussion of process data analysis as it pertains to healthcare applications. The article discusses the advantages and disadvantages of using big data analytics (BDA) in the medical industry. The insights offered by BDA, which can also aid in making strategic decisions, can assist the healthcare system.https://doi.org/10.1002/hcs2.66big data analyticshealthcaresurveillancetechnologypatient care |
| spellingShingle | Priyanshi Goyal Rishabha Malviya Challenges and opportunities of big data analytics in healthcare Health Care Science big data analytics healthcare surveillance technology patient care |
| title | Challenges and opportunities of big data analytics in healthcare |
| title_full | Challenges and opportunities of big data analytics in healthcare |
| title_fullStr | Challenges and opportunities of big data analytics in healthcare |
| title_full_unstemmed | Challenges and opportunities of big data analytics in healthcare |
| title_short | Challenges and opportunities of big data analytics in healthcare |
| title_sort | challenges and opportunities of big data analytics in healthcare |
| topic | big data analytics healthcare surveillance technology patient care |
| url | https://doi.org/10.1002/hcs2.66 |
| work_keys_str_mv | AT priyanshigoyal challengesandopportunitiesofbigdataanalyticsinhealthcare AT rishabhamalviya challengesandopportunitiesofbigdataanalyticsinhealthcare |