Big data analytics and intelligence: a perspective for health care
Big Data Analytics and Intelligenceis essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval
Gespeichert in:
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV047058135 | ||
| 003 | DE-604 | ||
| 005 | 20240102 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 201210s2020 xx o|||| 00||| eng d | ||
| 020 | |a 9781839090998 |c Online |9 978-1-83909-099-8 | ||
| 024 | 7 | |a 10.1108/9781839090998 |2 doi | |
| 035 | |a (OCoLC)1226704870 | ||
| 035 | |a (DE-599)BVBBV047058135 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-634 |a DE-1043 |a DE-1050 |a DE-M347 |a DE-92 |a DE-523 |a DE-91 |a DE-473 |a DE-19 |a DE-355 |a DE-703 |a DE-20 |a DE-706 |a DE-824 |a DE-29 |a DE-739 |a DE-1046 | ||
| 245 | 1 | 0 | |a Big data analytics and intelligence |b a perspective for health care |c edited by Poonam Tanwar, Vishal Jain, Chuan-Ming Liu, Vishal Goyal |
| 250 | |a First edition | ||
| 264 | 1 | |a Bingley, UK |b Emerald Publishing Limited |c 2020 | |
| 300 | |a 1 Online-Ressource (xviii, 289 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 505 | 8 | |a Intro -- Half Title Page -- Title Page -- Copyright Page -- Contents -- About the Editors -- About the Authors -- Preface -- Chapter 1-Big Data Analytics and Intelligence: A Perspective for Health Care -- 1. Introduction -- 2. Big Data Overview -- 3. Big Data Applications in Health Care -- 3.1.1. Levels of Staffing. Staffing levels are set by administrators of the particular organization and these factors are influenced by various forces such as budgetary considerations and features of local nurse labor markets. The administrative departmen | |
| 505 | 8 | |a 3.1.2. Outcomes. Capturing and analyzing the patient information helps in generating a summarized report so that it can be used in later stages for better understanding. Even though it has resulted in great success still this method is very challenging be -- 3.1.3. Conclusion. A difference can be seen in healthcare sections where staffing is less when compared to institutions where staffing is more. Most of the researches that were conducted suggest that if nurses appointed are less than required it creates u -- 3.2. Electronic Health Records. Needs and Advantages | |
| 505 | 8 | |a 3.2.1. Introduction. The most important task of EHR is to help in understanding the medical background of patients with the help of electronic mechanism rather than using traditional techniques of maintaining papers or folders. This helps in reducing time -- 3.2.2. Importance for Improving Efficiency and Productivity. One of the main aims of maintaining EHR is that it helps to retrieve information's regarding the patients whenever required. Lab results can be gathered from decades ago with less amount of time | |
| 505 | 8 | |a 3.2.3. Application. The application of EHRs ranges from government sectors to financial sections of various industries. Few of the applications and the expected outcomes from the particular industries are as follows. -- 3.2.4. Aggregated Data. Since decisions are to be taken based on the past experiences, most of the organizations collect high quality data in raw format. These data are mainly procured from the data collected from inpatient and outpatient data and details | |
| 505 | 8 | |a 3.2.5. Integrated Data. The main disadvantage of maintaining paper-based health records in that it can be used to combine other paper health records and store as the same. Since this mechanism lacks the ability to integrate with other paper forms of infor -- 3.2.6. Conclusion. In order to modernize the infrastructure in healthcare sector it is required to adopt and implement EHRs-based systems. A survey conducted to understand the importance of EHR shows that it helps to identify patients with serious health -- 3.3. Enhancing Patient Engagement | |
| 520 | |a Big Data Analytics and Intelligenceis essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval | ||
| 700 | 1 | |a Tanwar, Poonam |4 edt | |
| 700 | 1 | |a Jain, Vishal |d 1983- |0 (DE-588)1222050188 |4 edt | |
| 700 | 1 | |a Liu, Chuan-Ming |4 edt | |
| 700 | 1 | |a Goyal, Vishal |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, Epub |z 978-1-83909-101-8 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-83909-100-1 |
| 856 | 4 | 0 | |u https://doi.org/10.1108/9781839090998 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-30-PQE | ||
| 912 | |a ZDB-55-BME | ||
| 912 | |a ZDB-1-EPB | ||
| 940 | 1 | |q ZDB-55-BME20 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-032465356 | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-634 |p ZDB-1-EPB |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-1043 |p ZDB-1-EPB |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-M347 |p ZDB-1-EPB |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-92 |p ZDB-55-BME |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-523 |p ZDB-1-EPB |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-91 |p ZDB-1-EPB |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-473 |p ZDB-1-EPB |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-19 |p ZDB-1-EPB |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-355 |p ZDB-1-EPB |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-703 |p ZDB-1-EPB |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-703 |p ZDB-55-BME |q ZDB-55-BME20 |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-20 |p ZDB-1-EPB |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-706 |p ZDB-1-EPB |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-824 |p ZDB-1-EPB |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-824 |p ZDB-55-BME |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-29 |p ZDB-1-EPB |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-739 |p ZDB-1-EPB |x Verlag |3 Volltext | |
| 966 | e | |u https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=6354159 |l DE-1050 |p ZDB-30-PQE |q FHD01_PQE_Kauf |x Aggregator |3 Volltext | |
| 966 | e | |u https://doi.org/10.1108/9781839090998 |l DE-1046 |p ZDB-1-EPB |x Verlag |3 Volltext | |
Datensatz im Suchindex
| DE-BY-TUM_katkey | 2739704 |
|---|---|
| _version_ | 1821935419652046848 |
| adam_text | |
| any_adam_object | |
| author2 | Tanwar, Poonam Jain, Vishal 1983- Liu, Chuan-Ming Goyal, Vishal |
| author2_role | edt edt edt edt |
| author2_variant | p t pt v j vj c m l cml v g vg |
| author_GND | (DE-588)1222050188 |
| author_facet | Tanwar, Poonam Jain, Vishal 1983- Liu, Chuan-Ming Goyal, Vishal |
| building | Verbundindex |
| bvnumber | BV047058135 |
| collection | ZDB-30-PQE ZDB-55-BME ZDB-1-EPB |
| contents | Intro -- Half Title Page -- Title Page -- Copyright Page -- Contents -- About the Editors -- About the Authors -- Preface -- Chapter 1-Big Data Analytics and Intelligence: A Perspective for Health Care -- 1. Introduction -- 2. Big Data Overview -- 3. Big Data Applications in Health Care -- 3.1.1. Levels of Staffing. Staffing levels are set by administrators of the particular organization and these factors are influenced by various forces such as budgetary considerations and features of local nurse labor markets. The administrative departmen 3.1.2. Outcomes. Capturing and analyzing the patient information helps in generating a summarized report so that it can be used in later stages for better understanding. Even though it has resulted in great success still this method is very challenging be -- 3.1.3. Conclusion. A difference can be seen in healthcare sections where staffing is less when compared to institutions where staffing is more. Most of the researches that were conducted suggest that if nurses appointed are less than required it creates u -- 3.2. Electronic Health Records. Needs and Advantages 3.2.1. Introduction. The most important task of EHR is to help in understanding the medical background of patients with the help of electronic mechanism rather than using traditional techniques of maintaining papers or folders. This helps in reducing time -- 3.2.2. Importance for Improving Efficiency and Productivity. One of the main aims of maintaining EHR is that it helps to retrieve information's regarding the patients whenever required. Lab results can be gathered from decades ago with less amount of time 3.2.3. Application. The application of EHRs ranges from government sectors to financial sections of various industries. Few of the applications and the expected outcomes from the particular industries are as follows. -- 3.2.4. Aggregated Data. Since decisions are to be taken based on the past experiences, most of the organizations collect high quality data in raw format. These data are mainly procured from the data collected from inpatient and outpatient data and details 3.2.5. Integrated Data. The main disadvantage of maintaining paper-based health records in that it can be used to combine other paper health records and store as the same. Since this mechanism lacks the ability to integrate with other paper forms of infor -- 3.2.6. Conclusion. In order to modernize the infrastructure in healthcare sector it is required to adopt and implement EHRs-based systems. A survey conducted to understand the importance of EHR shows that it helps to identify patients with serious health -- 3.3. Enhancing Patient Engagement |
| ctrlnum | (OCoLC)1226704870 (DE-599)BVBBV047058135 |
| doi_str_mv | 10.1108/9781839090998 |
| edition | First edition |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV047058135</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240102</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">201210s2020 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781839090998</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-83909-099-8</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1108/9781839090998</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1226704870</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047058135</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-634</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-1046</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Big data analytics and intelligence</subfield><subfield code="b">a perspective for health care</subfield><subfield code="c">edited by Poonam Tanwar, Vishal Jain, Chuan-Ming Liu, Vishal Goyal</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Bingley, UK</subfield><subfield code="b">Emerald Publishing Limited</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xviii, 289 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Intro -- Half Title Page -- Title Page -- Copyright Page -- Contents -- About the Editors -- About the Authors -- Preface -- Chapter 1-Big Data Analytics and Intelligence: A Perspective for Health Care -- 1. Introduction -- 2. Big Data Overview -- 3. Big Data Applications in Health Care -- 3.1.1. Levels of Staffing. Staffing levels are set by administrators of the particular organization and these factors are influenced by various forces such as budgetary considerations and features of local nurse labor markets. The administrative departmen</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.1.2. Outcomes. Capturing and analyzing the patient information helps in generating a summarized report so that it can be used in later stages for better understanding. Even though it has resulted in great success still this method is very challenging be -- 3.1.3. Conclusion. A difference can be seen in healthcare sections where staffing is less when compared to institutions where staffing is more. Most of the researches that were conducted suggest that if nurses appointed are less than required it creates u -- 3.2. Electronic Health Records. Needs and Advantages</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.2.1. Introduction. The most important task of EHR is to help in understanding the medical background of patients with the help of electronic mechanism rather than using traditional techniques of maintaining papers or folders. This helps in reducing time -- 3.2.2. Importance for Improving Efficiency and Productivity. One of the main aims of maintaining EHR is that it helps to retrieve information's regarding the patients whenever required. Lab results can be gathered from decades ago with less amount of time</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.2.3. Application. The application of EHRs ranges from government sectors to financial sections of various industries. Few of the applications and the expected outcomes from the particular industries are as follows. -- 3.2.4. Aggregated Data. Since decisions are to be taken based on the past experiences, most of the organizations collect high quality data in raw format. These data are mainly procured from the data collected from inpatient and outpatient data and details</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.2.5. Integrated Data. The main disadvantage of maintaining paper-based health records in that it can be used to combine other paper health records and store as the same. Since this mechanism lacks the ability to integrate with other paper forms of infor -- 3.2.6. Conclusion. In order to modernize the infrastructure in healthcare sector it is required to adopt and implement EHRs-based systems. A survey conducted to understand the importance of EHR shows that it helps to identify patients with serious health -- 3.3. Enhancing Patient Engagement</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Big Data Analytics and Intelligenceis essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tanwar, Poonam</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jain, Vishal</subfield><subfield code="d">1983-</subfield><subfield code="0">(DE-588)1222050188</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Chuan-Ming</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Goyal, Vishal</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe, Epub</subfield><subfield code="z">978-1-83909-101-8</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-1-83909-100-1</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-55-BME</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-EPB</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-55-BME20</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032465356</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-634</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-1043</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-M347</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-92</subfield><subfield code="p">ZDB-55-BME</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-523</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-473</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-19</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-355</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-703</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-703</subfield><subfield code="p">ZDB-55-BME</subfield><subfield code="q">ZDB-55-BME20</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-20</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-706</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-824</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-824</subfield><subfield code="p">ZDB-55-BME</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-29</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-739</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=6354159</subfield><subfield code="l">DE-1050</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">FHD01_PQE_Kauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1108/9781839090998</subfield><subfield code="l">DE-1046</subfield><subfield code="p">ZDB-1-EPB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047058135 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-16T05:26:39Z |
| institution | BVB |
| isbn | 9781839090998 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032465356 |
| oclc_num | 1226704870 |
| open_access_boolean | |
| owner | DE-634 DE-1043 DE-1050 DE-M347 DE-92 DE-523 DE-91 DE-BY-TUM DE-473 DE-BY-UBG DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-20 DE-706 DE-824 DE-29 DE-739 DE-1046 |
| owner_facet | DE-634 DE-1043 DE-1050 DE-M347 DE-92 DE-523 DE-91 DE-BY-TUM DE-473 DE-BY-UBG DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-20 DE-706 DE-824 DE-29 DE-739 DE-1046 |
| physical | 1 Online-Ressource (xviii, 289 Seiten) |
| psigel | ZDB-30-PQE ZDB-55-BME ZDB-1-EPB ZDB-55-BME20 ZDB-55-BME ZDB-55-BME20 ZDB-30-PQE FHD01_PQE_Kauf |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Emerald Publishing Limited |
| record_format | marc |
| spellingShingle | Big data analytics and intelligence a perspective for health care Intro -- Half Title Page -- Title Page -- Copyright Page -- Contents -- About the Editors -- About the Authors -- Preface -- Chapter 1-Big Data Analytics and Intelligence: A Perspective for Health Care -- 1. Introduction -- 2. Big Data Overview -- 3. Big Data Applications in Health Care -- 3.1.1. Levels of Staffing. Staffing levels are set by administrators of the particular organization and these factors are influenced by various forces such as budgetary considerations and features of local nurse labor markets. The administrative departmen 3.1.2. Outcomes. Capturing and analyzing the patient information helps in generating a summarized report so that it can be used in later stages for better understanding. Even though it has resulted in great success still this method is very challenging be -- 3.1.3. Conclusion. A difference can be seen in healthcare sections where staffing is less when compared to institutions where staffing is more. Most of the researches that were conducted suggest that if nurses appointed are less than required it creates u -- 3.2. Electronic Health Records. Needs and Advantages 3.2.1. Introduction. The most important task of EHR is to help in understanding the medical background of patients with the help of electronic mechanism rather than using traditional techniques of maintaining papers or folders. This helps in reducing time -- 3.2.2. Importance for Improving Efficiency and Productivity. One of the main aims of maintaining EHR is that it helps to retrieve information's regarding the patients whenever required. Lab results can be gathered from decades ago with less amount of time 3.2.3. Application. The application of EHRs ranges from government sectors to financial sections of various industries. Few of the applications and the expected outcomes from the particular industries are as follows. -- 3.2.4. Aggregated Data. Since decisions are to be taken based on the past experiences, most of the organizations collect high quality data in raw format. These data are mainly procured from the data collected from inpatient and outpatient data and details 3.2.5. Integrated Data. The main disadvantage of maintaining paper-based health records in that it can be used to combine other paper health records and store as the same. Since this mechanism lacks the ability to integrate with other paper forms of infor -- 3.2.6. Conclusion. In order to modernize the infrastructure in healthcare sector it is required to adopt and implement EHRs-based systems. A survey conducted to understand the importance of EHR shows that it helps to identify patients with serious health -- 3.3. Enhancing Patient Engagement |
| title | Big data analytics and intelligence a perspective for health care |
| title_auth | Big data analytics and intelligence a perspective for health care |
| title_exact_search | Big data analytics and intelligence a perspective for health care |
| title_full | Big data analytics and intelligence a perspective for health care edited by Poonam Tanwar, Vishal Jain, Chuan-Ming Liu, Vishal Goyal |
| title_fullStr | Big data analytics and intelligence a perspective for health care edited by Poonam Tanwar, Vishal Jain, Chuan-Ming Liu, Vishal Goyal |
| title_full_unstemmed | Big data analytics and intelligence a perspective for health care edited by Poonam Tanwar, Vishal Jain, Chuan-Ming Liu, Vishal Goyal |
| title_short | Big data analytics and intelligence |
| title_sort | big data analytics and intelligence a perspective for health care |
| title_sub | a perspective for health care |
| url | https://doi.org/10.1108/9781839090998 |
| work_keys_str_mv | AT tanwarpoonam bigdataanalyticsandintelligenceaperspectiveforhealthcare AT jainvishal bigdataanalyticsandintelligenceaperspectiveforhealthcare AT liuchuanming bigdataanalyticsandintelligenceaperspectiveforhealthcare AT goyalvishal bigdataanalyticsandintelligenceaperspectiveforhealthcare |