RiskScape: A Data Visualization and Aggregation Platform for Public Health Surveillance Using Routine Electronic

Noelle M Cocoros1, Chaim Kirby1, Bob Zambarano1

  • 1Noelle M. Cocoros, Aileen Ochoa, John T. Menchaca, and Michael Klompas are with the Department of Population Medicine at Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA. Chaim Kirby, Bob Zambarano, Karen Eberhardt, and Catherine Rocchio are with Commonwealth Informatics, Waltham, MA. W. Sanouri Ursprung, Victoria M. Nielsen, and Natalie Nguyen Durham are with Massachusetts Department of Public Health, Boston. Mark Josephson, Diana Erani, and Ellen Hafer are with Massachusetts League of Community Health Centers, Boston. Michelle Weiss and Brian Herrick are with Cambridge Health Alliance, Cambridge, MA. Myfanwy Callahan and Thomas Isaac are with Atrius Health, Boston.

Summary

RiskScape is a user-friendly platform for analyzing electronic health record data for public health surveillance. It visualizes near-real-time disease trends, aiding health departments in monitoring and addressing population health needs.

Related Concept Videos

Principles of Disease Surveillance01:26

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
333
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.2K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
355
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
726
Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
3.9K
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
1.3K