RiskScape: A Data Visualization and Aggregation Platform for Public Health Surveillance Using Routine Electronic Health Record Data
Automated analysis of electronic health record (EHR) data is a complementary tool for public health surveillance. Analyzing and presenting these data, however, demands new methods of data communication optimized to the detail, flexibility, and timeliness of EHR data.RiskScape is an open-source, inte...
Gespeichert in:
| Veröffentlicht in: | American journal of public health (1971) 2021-02, Vol.111 (2), p.269-276 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 276 |
|---|---|
| container_issue | 2 |
| container_start_page | 269 |
| container_title | American journal of public health (1971) |
| container_volume | 111 |
| creator | Cocoros, Noelle M Kirby, Chaim Zambarano, Bob Ochoa, Aileen Eberhardt, Karen Rocchio Sb, Catherine Ursprung, W Sanouri Nielsen, Victoria M Durham, Natalie Nguyen Menchaca, John T Josephson, Mark Erani, Diana Hafer, Ellen Weiss, Michelle Herrick, Brian Callahan, Myfanwy Isaac, Thomas Klompas, Michael |
| description | Automated analysis of electronic health record (EHR) data is a complementary tool for public health surveillance. Analyzing and presenting these data, however, demands new methods of data communication optimized to the detail, flexibility, and timeliness of EHR data.RiskScape is an open-source, interactive, Web-based, user-friendly data aggregation and visualization platform for public health surveillance using EHR data. RiskScape displays near-real-time surveillance data and enables clinical practices and health departments to review, analyze, map, and trend aggregate data on chronic conditions and infectious diseases. Data presentations include heat maps of prevalence by zip code, time series with statistics for trends, and care cascades for conditions such as HIV and HCV. The platform's flexibility enables it to be modified to incorporate new conditions quickly-such as COVID-19.The Massachusetts Department of Public Health (MDPH) uses RiskScape to monitor conditions of interest using data that are updated monthly from clinical practice groups that cover approximately 20% of the state population. RiskScape serves an essential role in demonstrating need and burden for MDPH's applications for funding, particularly through the identification of inequitably burdened populations. |
| doi_str_mv | 10.2105/AJPH.2020.305963 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7811092</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2473401824</sourcerecordid><originalsourceid>FETCH-LOGICAL-c424t-de87906df6a10b83f0a3b6839b45b8b5c43a01c01a85f2c47e27900fcd198da93</originalsourceid><addsrcrecordid>eNpdkc1vEzEQxS1ERUPhzglZ4sIl6fhr4-WAFJVCiioRpZSr5fV6ty7OOtjeSu2VfxynKeXj4rE1v3njp4fQKwIzSkAcLz6vljMKFGYMRF2xJ2hCBCdTAC6foglADeXOqkP0PKVrAEJqQZ6hQ8aYIFUFE_Rz7dL3C6O39h1e4A86a_zNpVF7d6ezCwPWQ4sXfR9tv3-vvM5diBtcDrwaG-8MXlrt8xW-GOONdd7rwVh8mdzQ43UYsxssPvXW5BiGP_DamhDb-40v0EGnfbIvH-oRuvx4-vVkOT3_8unsZHE-NZzyPG2tnNdQtV2lCTSSdaBZU0lWN1w0shGGMw3EANFSdNTwuaWFh860pJatrtkRer_X3Y7NxrbGDjlqr7bRbXS8VUE79W9ncFeqDzdqLgmBmhaBtw8CMfwYbcpq45KxO8c2jElRPmcciKS8oG_-Q6_DGIdir1CyosA4E4WCPWViSCna7vEzBNQuYbVLWO0SVvuEy8jrv008DvyOlP0CvBWioA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2486203435</pqid></control><display><type>article</type><title>RiskScape: A Data Visualization and Aggregation Platform for Public Health Surveillance Using Routine Electronic Health Record Data</title><source>MEDLINE</source><source>PAIS Index</source><source>Business Source Complete</source><source>EBSCOhost Education Source</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Cocoros, Noelle M ; Kirby, Chaim ; Zambarano, Bob ; Ochoa, Aileen ; Eberhardt, Karen ; Rocchio Sb, Catherine ; Ursprung, W Sanouri ; Nielsen, Victoria M ; Durham, Natalie Nguyen ; Menchaca, John T ; Josephson, Mark ; Erani, Diana ; Hafer, Ellen ; Weiss, Michelle ; Herrick, Brian ; Callahan, Myfanwy ; Isaac, Thomas ; Klompas, Michael</creator><creatorcontrib>Cocoros, Noelle M ; Kirby, Chaim ; Zambarano, Bob ; Ochoa, Aileen ; Eberhardt, Karen ; Rocchio Sb, Catherine ; Ursprung, W Sanouri ; Nielsen, Victoria M ; Durham, Natalie Nguyen ; Menchaca, John T ; Josephson, Mark ; Erani, Diana ; Hafer, Ellen ; Weiss, Michelle ; Herrick, Brian ; Callahan, Myfanwy ; Isaac, Thomas ; Klompas, Michael</creatorcontrib><description>Automated analysis of electronic health record (EHR) data is a complementary tool for public health surveillance. Analyzing and presenting these data, however, demands new methods of data communication optimized to the detail, flexibility, and timeliness of EHR data.RiskScape is an open-source, interactive, Web-based, user-friendly data aggregation and visualization platform for public health surveillance using EHR data. RiskScape displays near-real-time surveillance data and enables clinical practices and health departments to review, analyze, map, and trend aggregate data on chronic conditions and infectious diseases. Data presentations include heat maps of prevalence by zip code, time series with statistics for trends, and care cascades for conditions such as HIV and HCV. The platform's flexibility enables it to be modified to incorporate new conditions quickly-such as COVID-19.The Massachusetts Department of Public Health (MDPH) uses RiskScape to monitor conditions of interest using data that are updated monthly from clinical practice groups that cover approximately 20% of the state population. RiskScape serves an essential role in demonstrating need and burden for MDPH's applications for funding, particularly through the identification of inequitably burdened populations.</description><identifier>ISSN: 0090-0036</identifier><identifier>EISSN: 1541-0048</identifier><identifier>DOI: 10.2105/AJPH.2020.305963</identifier><identifier>PMID: 33351660</identifier><language>eng</language><publisher>United States: American Public Health Association</publisher><subject>Agglomeration ; Aggregate data ; Asthma ; Automation ; Chlamydia ; Chronic conditions ; Chronic illnesses ; Clinical medicine ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; Data communication ; Data management ; Demographics ; Departments ; Disease transmission ; Electronic health records ; Electronic Health Records - statistics & numerical data ; Electronic medical records ; Epidemiology ; Estimates ; Flexibility ; Health behavior ; Health facilities ; Health insurance ; Health surveillance ; HIV ; Human immunodeficiency virus ; Humans ; Hypertension ; Immunization ; Indigent care ; Infectious diseases ; Insurance coverage ; Laboratories ; Massachusetts ; Medical records ; Other Statistics/Evaluation/Research ; Patients ; Population ; Public health ; Public health departments ; Public Health Informatics - instrumentation ; Public Health Practice ; Public Health Surveillance - methods ; Research and Analysis ; Scientific visualization ; Statistical analysis ; Statistics ; Surveillance ; Visualization</subject><ispartof>American journal of public health (1971), 2021-02, Vol.111 (2), p.269-276</ispartof><rights>Copyright American Public Health Association Feb 2021</rights><rights>American Public Health Association 2021 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c424t-de87906df6a10b83f0a3b6839b45b8b5c43a01c01a85f2c47e27900fcd198da93</citedby><cites>FETCH-LOGICAL-c424t-de87906df6a10b83f0a3b6839b45b8b5c43a01c01a85f2c47e27900fcd198da93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811092/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811092/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33351660$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cocoros, Noelle M</creatorcontrib><creatorcontrib>Kirby, Chaim</creatorcontrib><creatorcontrib>Zambarano, Bob</creatorcontrib><creatorcontrib>Ochoa, Aileen</creatorcontrib><creatorcontrib>Eberhardt, Karen</creatorcontrib><creatorcontrib>Rocchio Sb, Catherine</creatorcontrib><creatorcontrib>Ursprung, W Sanouri</creatorcontrib><creatorcontrib>Nielsen, Victoria M</creatorcontrib><creatorcontrib>Durham, Natalie Nguyen</creatorcontrib><creatorcontrib>Menchaca, John T</creatorcontrib><creatorcontrib>Josephson, Mark</creatorcontrib><creatorcontrib>Erani, Diana</creatorcontrib><creatorcontrib>Hafer, Ellen</creatorcontrib><creatorcontrib>Weiss, Michelle</creatorcontrib><creatorcontrib>Herrick, Brian</creatorcontrib><creatorcontrib>Callahan, Myfanwy</creatorcontrib><creatorcontrib>Isaac, Thomas</creatorcontrib><creatorcontrib>Klompas, Michael</creatorcontrib><title>RiskScape: A Data Visualization and Aggregation Platform for Public Health Surveillance Using Routine Electronic Health Record Data</title><title>American journal of public health (1971)</title><addtitle>Am J Public Health</addtitle><description>Automated analysis of electronic health record (EHR) data is a complementary tool for public health surveillance. Analyzing and presenting these data, however, demands new methods of data communication optimized to the detail, flexibility, and timeliness of EHR data.RiskScape is an open-source, interactive, Web-based, user-friendly data aggregation and visualization platform for public health surveillance using EHR data. RiskScape displays near-real-time surveillance data and enables clinical practices and health departments to review, analyze, map, and trend aggregate data on chronic conditions and infectious diseases. Data presentations include heat maps of prevalence by zip code, time series with statistics for trends, and care cascades for conditions such as HIV and HCV. The platform's flexibility enables it to be modified to incorporate new conditions quickly-such as COVID-19.The Massachusetts Department of Public Health (MDPH) uses RiskScape to monitor conditions of interest using data that are updated monthly from clinical practice groups that cover approximately 20% of the state population. RiskScape serves an essential role in demonstrating need and burden for MDPH's applications for funding, particularly through the identification of inequitably burdened populations.</description><subject>Agglomeration</subject><subject>Aggregate data</subject><subject>Asthma</subject><subject>Automation</subject><subject>Chlamydia</subject><subject>Chronic conditions</subject><subject>Chronic illnesses</subject><subject>Clinical medicine</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>Data communication</subject><subject>Data management</subject><subject>Demographics</subject><subject>Departments</subject><subject>Disease transmission</subject><subject>Electronic health records</subject><subject>Electronic Health Records - statistics & numerical data</subject><subject>Electronic medical records</subject><subject>Epidemiology</subject><subject>Estimates</subject><subject>Flexibility</subject><subject>Health behavior</subject><subject>Health facilities</subject><subject>Health insurance</subject><subject>Health surveillance</subject><subject>HIV</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Immunization</subject><subject>Indigent care</subject><subject>Infectious diseases</subject><subject>Insurance coverage</subject><subject>Laboratories</subject><subject>Massachusetts</subject><subject>Medical records</subject><subject>Other Statistics/Evaluation/Research</subject><subject>Patients</subject><subject>Population</subject><subject>Public health</subject><subject>Public health departments</subject><subject>Public Health Informatics - instrumentation</subject><subject>Public Health Practice</subject><subject>Public Health Surveillance - methods</subject><subject>Research and Analysis</subject><subject>Scientific visualization</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Surveillance</subject><subject>Visualization</subject><issn>0090-0036</issn><issn>1541-0048</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7TQ</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkc1vEzEQxS1ERUPhzglZ4sIl6fhr4-WAFJVCiioRpZSr5fV6ty7OOtjeSu2VfxynKeXj4rE1v3njp4fQKwIzSkAcLz6vljMKFGYMRF2xJ2hCBCdTAC6foglADeXOqkP0PKVrAEJqQZ6hQ8aYIFUFE_Rz7dL3C6O39h1e4A86a_zNpVF7d6ezCwPWQ4sXfR9tv3-vvM5diBtcDrwaG-8MXlrt8xW-GOONdd7rwVh8mdzQ43UYsxssPvXW5BiGP_DamhDb-40v0EGnfbIvH-oRuvx4-vVkOT3_8unsZHE-NZzyPG2tnNdQtV2lCTSSdaBZU0lWN1w0shGGMw3EANFSdNTwuaWFh860pJatrtkRer_X3Y7NxrbGDjlqr7bRbXS8VUE79W9ncFeqDzdqLgmBmhaBtw8CMfwYbcpq45KxO8c2jElRPmcciKS8oG_-Q6_DGIdir1CyosA4E4WCPWViSCna7vEzBNQuYbVLWO0SVvuEy8jrv008DvyOlP0CvBWioA</recordid><startdate>202102</startdate><enddate>202102</enddate><creator>Cocoros, Noelle M</creator><creator>Kirby, Chaim</creator><creator>Zambarano, Bob</creator><creator>Ochoa, Aileen</creator><creator>Eberhardt, Karen</creator><creator>Rocchio Sb, Catherine</creator><creator>Ursprung, W Sanouri</creator><creator>Nielsen, Victoria M</creator><creator>Durham, Natalie Nguyen</creator><creator>Menchaca, John T</creator><creator>Josephson, Mark</creator><creator>Erani, Diana</creator><creator>Hafer, Ellen</creator><creator>Weiss, Michelle</creator><creator>Herrick, Brian</creator><creator>Callahan, Myfanwy</creator><creator>Isaac, Thomas</creator><creator>Klompas, Michael</creator><general>American Public Health Association</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7RV</scope><scope>7TQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88A</scope><scope>88C</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>88J</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>KC-</scope><scope>L.-</scope><scope>L.0</scope><scope>LK8</scope><scope>M0C</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2L</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M2R</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>202102</creationdate><title>RiskScape: A Data Visualization and Aggregation Platform for Public Health Surveillance Using Routine Electronic Health Record Data</title><author>Cocoros, Noelle M ; Kirby, Chaim ; Zambarano, Bob ; Ochoa, Aileen ; Eberhardt, Karen ; Rocchio Sb, Catherine ; Ursprung, W Sanouri ; Nielsen, Victoria M ; Durham, Natalie Nguyen ; Menchaca, John T ; Josephson, Mark ; Erani, Diana ; Hafer, Ellen ; Weiss, Michelle ; Herrick, Brian ; Callahan, Myfanwy ; Isaac, Thomas ; Klompas, Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c424t-de87906df6a10b83f0a3b6839b45b8b5c43a01c01a85f2c47e27900fcd198da93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agglomeration</topic><topic>Aggregate data</topic><topic>Asthma</topic><topic>Automation</topic><topic>Chlamydia</topic><topic>Chronic conditions</topic><topic>Chronic illnesses</topic><topic>Clinical medicine</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>Data communication</topic><topic>Data management</topic><topic>Demographics</topic><topic>Departments</topic><topic>Disease transmission</topic><topic>Electronic health records</topic><topic>Electronic Health Records - statistics & numerical data</topic><topic>Electronic medical records</topic><topic>Epidemiology</topic><topic>Estimates</topic><topic>Flexibility</topic><topic>Health behavior</topic><topic>Health facilities</topic><topic>Health insurance</topic><topic>Health surveillance</topic><topic>HIV</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Immunization</topic><topic>Indigent care</topic><topic>Infectious diseases</topic><topic>Insurance coverage</topic><topic>Laboratories</topic><topic>Massachusetts</topic><topic>Medical records</topic><topic>Other Statistics/Evaluation/Research</topic><topic>Patients</topic><topic>Population</topic><topic>Public health</topic><topic>Public health departments</topic><topic>Public Health Informatics - instrumentation</topic><topic>Public Health Practice</topic><topic>Public Health Surveillance - methods</topic><topic>Research and Analysis</topic><topic>Scientific visualization</topic><topic>Statistical analysis</topic><topic>Statistics</topic><topic>Surveillance</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cocoros, Noelle M</creatorcontrib><creatorcontrib>Kirby, Chaim</creatorcontrib><creatorcontrib>Zambarano, Bob</creatorcontrib><creatorcontrib>Ochoa, Aileen</creatorcontrib><creatorcontrib>Eberhardt, Karen</creatorcontrib><creatorcontrib>Rocchio Sb, Catherine</creatorcontrib><creatorcontrib>Ursprung, W Sanouri</creatorcontrib><creatorcontrib>Nielsen, Victoria M</creatorcontrib><creatorcontrib>Durham, Natalie Nguyen</creatorcontrib><creatorcontrib>Menchaca, John T</creatorcontrib><creatorcontrib>Josephson, Mark</creatorcontrib><creatorcontrib>Erani, Diana</creatorcontrib><creatorcontrib>Hafer, Ellen</creatorcontrib><creatorcontrib>Weiss, Michelle</creatorcontrib><creatorcontrib>Herrick, Brian</creatorcontrib><creatorcontrib>Callahan, Myfanwy</creatorcontrib><creatorcontrib>Isaac, Thomas</creatorcontrib><creatorcontrib>Klompas, Michael</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>PAIS Index</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Politics Collection</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Politics Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ProQuest Biological Science Collection</collection><collection>ABI/INFORM Global</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Political Science Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Social Science Database</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of public health (1971)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cocoros, Noelle M</au><au>Kirby, Chaim</au><au>Zambarano, Bob</au><au>Ochoa, Aileen</au><au>Eberhardt, Karen</au><au>Rocchio Sb, Catherine</au><au>Ursprung, W Sanouri</au><au>Nielsen, Victoria M</au><au>Durham, Natalie Nguyen</au><au>Menchaca, John T</au><au>Josephson, Mark</au><au>Erani, Diana</au><au>Hafer, Ellen</au><au>Weiss, Michelle</au><au>Herrick, Brian</au><au>Callahan, Myfanwy</au><au>Isaac, Thomas</au><au>Klompas, Michael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>RiskScape: A Data Visualization and Aggregation Platform for Public Health Surveillance Using Routine Electronic Health Record Data</atitle><jtitle>American journal of public health (1971)</jtitle><addtitle>Am J Public Health</addtitle><date>2021-02</date><risdate>2021</risdate><volume>111</volume><issue>2</issue><spage>269</spage><epage>276</epage><pages>269-276</pages><issn>0090-0036</issn><eissn>1541-0048</eissn><abstract>Automated analysis of electronic health record (EHR) data is a complementary tool for public health surveillance. Analyzing and presenting these data, however, demands new methods of data communication optimized to the detail, flexibility, and timeliness of EHR data.RiskScape is an open-source, interactive, Web-based, user-friendly data aggregation and visualization platform for public health surveillance using EHR data. RiskScape displays near-real-time surveillance data and enables clinical practices and health departments to review, analyze, map, and trend aggregate data on chronic conditions and infectious diseases. Data presentations include heat maps of prevalence by zip code, time series with statistics for trends, and care cascades for conditions such as HIV and HCV. The platform's flexibility enables it to be modified to incorporate new conditions quickly-such as COVID-19.The Massachusetts Department of Public Health (MDPH) uses RiskScape to monitor conditions of interest using data that are updated monthly from clinical practice groups that cover approximately 20% of the state population. RiskScape serves an essential role in demonstrating need and burden for MDPH's applications for funding, particularly through the identification of inequitably burdened populations.</abstract><cop>United States</cop><pub>American Public Health Association</pub><pmid>33351660</pmid><doi>10.2105/AJPH.2020.305963</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0090-0036 |
| ispartof | American journal of public health (1971), 2021-02, Vol.111 (2), p.269-276 |
| issn | 0090-0036 1541-0048 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7811092 |
| source | MEDLINE; PAIS Index; Business Source Complete; EBSCOhost Education Source; PubMed Central; Alma/SFX Local Collection |
| subjects | Agglomeration Aggregate data Asthma Automation Chlamydia Chronic conditions Chronic illnesses Clinical medicine Coronaviruses COVID-19 COVID-19 - epidemiology Data communication Data management Demographics Departments Disease transmission Electronic health records Electronic Health Records - statistics & numerical data Electronic medical records Epidemiology Estimates Flexibility Health behavior Health facilities Health insurance Health surveillance HIV Human immunodeficiency virus Humans Hypertension Immunization Indigent care Infectious diseases Insurance coverage Laboratories Massachusetts Medical records Other Statistics/Evaluation/Research Patients Population Public health Public health departments Public Health Informatics - instrumentation Public Health Practice Public Health Surveillance - methods Research and Analysis Scientific visualization Statistical analysis Statistics Surveillance Visualization |
| title | RiskScape: A Data Visualization and Aggregation Platform for Public Health Surveillance Using Routine Electronic Health Record Data |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T21%3A39%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=RiskScape:%20A%20Data%20Visualization%20and%20Aggregation%20Platform%20for%20Public%20Health%20Surveillance%20Using%20Routine%20Electronic%20Health%20Record%20Data&rft.jtitle=American%20journal%20of%20public%20health%20(1971)&rft.au=Cocoros,%20Noelle%20M&rft.date=2021-02&rft.volume=111&rft.issue=2&rft.spage=269&rft.epage=276&rft.pages=269-276&rft.issn=0090-0036&rft.eissn=1541-0048&rft_id=info:doi/10.2105/AJPH.2020.305963&rft_dat=%3Cproquest_pubme%3E2473401824%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2486203435&rft_id=info:pmid/33351660&rfr_iscdi=true |