The state and pattern of health information technology adoption /:
Innovations in information technology (IT) have improved efficiency and quality in many industries. Healthcare has not been one of them. Although some administrative IT systems, such as those for billing, scheduling, and inventory management, are already in place in the healthcare industry, little a...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Santa Monica, CA :
Rand Corp.,
2005.
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Online-Zugang: | Volltext |
Zusammenfassung: | Innovations in information technology (IT) have improved efficiency and quality in many industries. Healthcare has not been one of them. Although some administrative IT systems, such as those for billing, scheduling, and inventory management, are already in place in the healthcare industry, little adoption of clinical IT, such as Electronic Medical Record Systems (EMR-S) and Clinical Decision Support tools, has occurred. Government intervention has been called for to speed the adoption process for Healthcare Information Technology (HIT), based on the widespread belief that its adoption, or diffusion, is too slow to be socially optimal. In this report, we estimate the current level and pattern of HIT adoption in the different types of healthcare organizations, and we evaluate factors that affect this diffusion process. First, we make an effort to derive a population-wide adoption level of administrative and clinical HIT applications according to information in the Healthcare Information and Management Systems Society (HIMSS)-Dorenfest database (formerly the Dorenfest IHDS+TM Database, Second release, 2004) and compare our estimates to alternative ones. We then attempt to summarize the current state and dynamics of HIT adoption according to these data and briefly review existing empirical studies on the HIT-adoption process. By comparing adoption rates across different types of healthcare providers and geographical areas, we help focus the policy agenda by identifying which healthcare providers lag behind and may need the most incentives to adopt HIT. Next, we employ regression analysis to separate the effects of the provider's characteristics and factors on adoption of Electronic Medical Records (EMR), Computerized Physician Order Entry (CPOE), and Picture Archiving Communications Systems (PACS), and compare the effects to findings in the literature. |
Beschreibung: | "RAND Health." |
Beschreibung: | 1 online resource (xiv, 52 pages) : illustrations |
Bibliographie: | Includes bibliographical references (pages 51-52). |
ISBN: | 9780833040985 0833040987 9780833040930 0833040936 |
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505 | 0 | |a Literature findings on the factors of HIT adoption and on the influence of HIT -- Estimates of current HIT adoption and of HIT diffusion -- Factors related to HIT adoption -- Summary of results and conclusions. | |
520 | |a Innovations in information technology (IT) have improved efficiency and quality in many industries. Healthcare has not been one of them. Although some administrative IT systems, such as those for billing, scheduling, and inventory management, are already in place in the healthcare industry, little adoption of clinical IT, such as Electronic Medical Record Systems (EMR-S) and Clinical Decision Support tools, has occurred. Government intervention has been called for to speed the adoption process for Healthcare Information Technology (HIT), based on the widespread belief that its adoption, or diffusion, is too slow to be socially optimal. In this report, we estimate the current level and pattern of HIT adoption in the different types of healthcare organizations, and we evaluate factors that affect this diffusion process. First, we make an effort to derive a population-wide adoption level of administrative and clinical HIT applications according to information in the Healthcare Information and Management Systems Society (HIMSS)-Dorenfest database (formerly the Dorenfest IHDS+TM Database, Second release, 2004) and compare our estimates to alternative ones. We then attempt to summarize the current state and dynamics of HIT adoption according to these data and briefly review existing empirical studies on the HIT-adoption process. By comparing adoption rates across different types of healthcare providers and geographical areas, we help focus the policy agenda by identifying which healthcare providers lag behind and may need the most incentives to adopt HIT. Next, we employ regression analysis to separate the effects of the provider's characteristics and factors on adoption of Electronic Medical Records (EMR), Computerized Physician Order Entry (CPOE), and Picture Archiving Communications Systems (PACS), and compare the effects to findings in the literature. | ||
588 | 0 | |a Print version record. | |
650 | 0 | |a Health services administration |x Information technology. | |
650 | 0 | |a Medical care |x Information technology. | |
650 | 2 | |a Medical Informatics Applications | |
650 | 2 | |a Public Health Informatics |x trends | |
650 | 6 | |a Services de santé |x Administration |x Technologie de l'information. | |
650 | 6 | |a Médecine |x Informatique. | |
650 | 6 | |a Soins médicaux |x Technologie de l'information. | |
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650 | 7 | |a Public Health. |2 hilcc | |
650 | 7 | |a Health & Biological Sciences. |2 hilcc | |
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Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-4-EBA-ocm69662638 |
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adam_text | |
any_adam_object | |
author | Fonkych, Kateryna |
author2 | Taylor, Roger, MD |
author2_role | |
author2_variant | r t rt |
author_GND | http://id.loc.gov/authorities/names/n2005183153 http://id.loc.gov/authorities/names/n2005183154 |
author_corporate | Rand Corporation |
author_corporate_role | |
author_facet | Fonkych, Kateryna Taylor, Roger, MD Rand Corporation |
author_role | |
author_sort | Fonkych, Kateryna |
author_variant | k f kf |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | R - Medicine |
callnumber-label | RA971 |
callnumber-raw | RA971.23 .F66 2005 |
callnumber-search | RA971.23 .F66 2005 |
callnumber-sort | RA 3971.23 F66 42005 |
callnumber-subject | RA - Public Medicine |
collection | ZDB-4-EBA |
contents | Literature findings on the factors of HIT adoption and on the influence of HIT -- Estimates of current HIT adoption and of HIT diffusion -- Factors related to HIT adoption -- Summary of results and conclusions. |
ctrlnum | (OCoLC)69662638 |
dewey-full | 362.1/028 |
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dewey-ones | 362 - Social problems and services to groups |
dewey-raw | 362.1/028 |
dewey-search | 362.1/028 |
dewey-sort | 3362.1 228 |
dewey-tens | 360 - Social problems and services; associations |
discipline | Soziologie |
format | Electronic eBook |
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efficiency and quality in many industries. Healthcare has not been one of them. Although some administrative IT systems, such as those for billing, scheduling, and inventory management, are already in place in the healthcare industry, little adoption of clinical IT, such as Electronic Medical Record Systems (EMR-S) and Clinical Decision Support tools, has occurred. Government intervention has been called for to speed the adoption process for Healthcare Information Technology (HIT), based on the widespread belief that its adoption, or diffusion, is too slow to be socially optimal. In this report, we estimate the current level and pattern of HIT adoption in the different types of healthcare organizations, and we evaluate factors that affect this diffusion process. First, we make an effort to derive a population-wide adoption level of administrative and clinical HIT applications according to information in the Healthcare Information and Management Systems Society (HIMSS)-Dorenfest database (formerly the Dorenfest IHDS+TM Database, Second release, 2004) and compare our estimates to alternative ones. We then attempt to summarize the current state and dynamics of HIT adoption according to these data and briefly review existing empirical studies on the HIT-adoption process. By comparing adoption rates across different types of healthcare providers and geographical areas, we help focus the policy agenda by identifying which healthcare providers lag behind and may need the most incentives to adopt HIT. Next, we employ regression analysis to separate the effects of the provider's characteristics and factors on adoption of Electronic Medical Records (EMR), Computerized Physician Order Entry (CPOE), and Picture Archiving Communications Systems (PACS), and compare the effects to findings in the literature.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Print version record.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Health services administration</subfield><subfield code="x">Information technology.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Medical care</subfield><subfield code="x">Information technology.</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Medical Informatics Applications</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Public Health Informatics</subfield><subfield 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id | ZDB-4-EBA-ocm69662638 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:15:52Z |
institution | BVB |
institution_GND | http://id.loc.gov/authorities/names/n78083407 |
isbn | 9780833040985 0833040987 9780833040930 0833040936 |
language | English |
oclc_num | 69662638 |
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owner | MAIN DE-863 DE-BY-FWS |
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physical | 1 online resource (xiv, 52 pages) : illustrations |
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spelling | Fonkych, Kateryna. http://id.loc.gov/authorities/names/n2005183153 The state and pattern of health information technology adoption / Kateryna Fonkych, Roger Taylor. Santa Monica, CA : Rand Corp., 2005. 1 online resource (xiv, 52 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda "RAND Health." Includes bibliographical references (pages 51-52). Literature findings on the factors of HIT adoption and on the influence of HIT -- Estimates of current HIT adoption and of HIT diffusion -- Factors related to HIT adoption -- Summary of results and conclusions. Innovations in information technology (IT) have improved efficiency and quality in many industries. Healthcare has not been one of them. Although some administrative IT systems, such as those for billing, scheduling, and inventory management, are already in place in the healthcare industry, little adoption of clinical IT, such as Electronic Medical Record Systems (EMR-S) and Clinical Decision Support tools, has occurred. Government intervention has been called for to speed the adoption process for Healthcare Information Technology (HIT), based on the widespread belief that its adoption, or diffusion, is too slow to be socially optimal. In this report, we estimate the current level and pattern of HIT adoption in the different types of healthcare organizations, and we evaluate factors that affect this diffusion process. First, we make an effort to derive a population-wide adoption level of administrative and clinical HIT applications according to information in the Healthcare Information and Management Systems Society (HIMSS)-Dorenfest database (formerly the Dorenfest IHDS+TM Database, Second release, 2004) and compare our estimates to alternative ones. We then attempt to summarize the current state and dynamics of HIT adoption according to these data and briefly review existing empirical studies on the HIT-adoption process. By comparing adoption rates across different types of healthcare providers and geographical areas, we help focus the policy agenda by identifying which healthcare providers lag behind and may need the most incentives to adopt HIT. Next, we employ regression analysis to separate the effects of the provider's characteristics and factors on adoption of Electronic Medical Records (EMR), Computerized Physician Order Entry (CPOE), and Picture Archiving Communications Systems (PACS), and compare the effects to findings in the literature. Print version record. Health services administration Information technology. Medical care Information technology. Medical Informatics Applications Public Health Informatics trends Services de santé Administration Technologie de l'information. Médecine Informatique. Soins médicaux Technologie de l'information. HEALTH & FITNESS Health Care Issues. bisacsh MEDICAL Public Health. bisacsh MEDICAL Health Policy. bisacsh HEALTH & FITNESS Diseases General. bisacsh MEDICAL Diseases. bisacsh MEDICAL Health Care Delivery. bisacsh Hospitals & Medical Centers. hilcc Public Health. hilcc Health & Biological Sciences. hilcc Taylor, Roger, MD. https://id.oclc.org/worldcat/entity/E39PCjKjV8fbqvmGxFJDDCG8Yd http://id.loc.gov/authorities/names/n2005183154 Rand Corporation. http://id.loc.gov/authorities/names/n78083407 Rand (Online publications) has work: The state and pattern of health information technology adoption (Text) https://id.oclc.org/worldcat/entity/E39PCGqwCRDMQRcjw48jByt4tq https://id.oclc.org/worldcat/ontology/hasWork Books at JSTOR: Open Access JSTOR Print version: Fonkych, Kateryna. State and pattern of health information technology adoption. Santa Monica, CA : Rand Corp., 2005 (DLC) 2005021867 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=197644 Volltext |
spellingShingle | Fonkych, Kateryna The state and pattern of health information technology adoption / Literature findings on the factors of HIT adoption and on the influence of HIT -- Estimates of current HIT adoption and of HIT diffusion -- Factors related to HIT adoption -- Summary of results and conclusions. Health services administration Information technology. Medical care Information technology. Medical Informatics Applications Public Health Informatics trends Services de santé Administration Technologie de l'information. Médecine Informatique. Soins médicaux Technologie de l'information. HEALTH & FITNESS Health Care Issues. bisacsh MEDICAL Public Health. bisacsh MEDICAL Health Policy. bisacsh HEALTH & FITNESS Diseases General. bisacsh MEDICAL Diseases. bisacsh MEDICAL Health Care Delivery. bisacsh Hospitals & Medical Centers. hilcc Public Health. hilcc Health & Biological Sciences. hilcc |
title | The state and pattern of health information technology adoption / |
title_alt | Rand (Online publications) |
title_auth | The state and pattern of health information technology adoption / |
title_exact_search | The state and pattern of health information technology adoption / |
title_full | The state and pattern of health information technology adoption / Kateryna Fonkych, Roger Taylor. |
title_fullStr | The state and pattern of health information technology adoption / Kateryna Fonkych, Roger Taylor. |
title_full_unstemmed | The state and pattern of health information technology adoption / Kateryna Fonkych, Roger Taylor. |
title_short | The state and pattern of health information technology adoption / |
title_sort | state and pattern of health information technology adoption |
topic | Health services administration Information technology. Medical care Information technology. Medical Informatics Applications Public Health Informatics trends Services de santé Administration Technologie de l'information. Médecine Informatique. Soins médicaux Technologie de l'information. HEALTH & FITNESS Health Care Issues. bisacsh MEDICAL Public Health. bisacsh MEDICAL Health Policy. bisacsh HEALTH & FITNESS Diseases General. bisacsh MEDICAL Diseases. bisacsh MEDICAL Health Care Delivery. bisacsh Hospitals & Medical Centers. hilcc Public Health. hilcc Health & Biological Sciences. hilcc |
topic_facet | Health services administration Information technology. Medical care Information technology. Medical Informatics Applications Public Health Informatics trends Services de santé Administration Technologie de l'information. Médecine Informatique. Soins médicaux Technologie de l'information. HEALTH & FITNESS Health Care Issues. MEDICAL Public Health. MEDICAL Health Policy. HEALTH & FITNESS Diseases General. MEDICAL Diseases. MEDICAL Health Care Delivery. Hospitals & Medical Centers. Public Health. Health & Biological Sciences. |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=197644 |
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