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Data Reporting and Recording01:24

Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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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...
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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:
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Introduction to Documentation and Reporting01:20

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Documentation is the systematic process of formally recording, maintaining, and communicating information.
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Building Public Health Data Dashboards: Tutorial Playbook.

Elwin Wu1, Raymond Balise2, Benjamin Katz3

  • 1Social Intervention Group, Columbia University School of Social Work, 1255 Amsterdam Avenue, New York, NY, 10027, United States, 1 917-439-7391.

JMIR Public Health and Surveillance
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PubMed
Summary
This summary is machine-generated.

Developing public health data dashboards requires careful planning for data curation, visualization, and infrastructure. This playbook offers guidance for creating effective dashboards to support data-driven decision-making.

Keywords:
dashboard systemsdata visualizationdrug overdoseopioid epidemicpublic health

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Area of Science:

  • Public Health
  • Data Science
  • Health Informatics

Background:

  • Public health data dashboards can enhance transparency and decision-making but face development challenges.
  • The HEALing Communities Study (HCS) provides a case study for developing data dashboards in community-engaged interventions.
  • Opioid overdose deaths are a critical public health issue addressed by evidence-based practices.

Purpose of the Study:

  • To share lessons learned and key decision points in public health dashboard development.
  • To provide a practical guide or "playbook" for creating effective data dashboards.
  • To assist individuals and organizations in building dashboards for data-driven decision-making.

Main Methods:

  • Describing core considerations: who, what, why, where, when, and how.
  • Outlining data curation steps: identifying metrics, data sources, and acquisition processes.
  • Discussing practical aspects of data visualization and infrastructure for hosting and publishing dashboards.

Main Results:

  • Key decision points and trade-offs in dashboard development are presented.
  • A structured approach to data curation, visualization, and infrastructure is outlined.
  • The playbook allows for sequential or random-access engagement based on user needs.

Conclusions:

  • Effective public health dashboards require careful consideration of multiple factors, from data to dissemination.
  • The HCS experience offers valuable insights for developing impactful data dashboards.
  • This resource aims to foster context-sensitive evaluation for successful dashboard implementation and data-driven decision-making.