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Think Results First!!

Traditionally, patient registry design centered around discussions of data content (e.g., "Form Y should have X fields that capture...."). However, advances in web-based information technology, communication, and multi-media tools have dramatically changed the process. In fact, it's best to start with the desired "Results First" and then work back to data content. The KEY consideration is transforming data into information and delivering this information to three primary stakeholders:

  1. Patients
  2. Health care staff
  3. Academic community

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Answers and Patients

We believe outcomes research is about finding answers and creating an experience that motivates subjects to participate. This page is about designing a patient registry that expresses that idea using StudyTRAX. Please send any questions or feedback to support ( support@sciencetrax.com).

Subjects & Patients

Subject Portal

Engage patient in the process through an easy to use on-line portal.

  • Key Features
    1. Web-based multi-media tools for:
      • Subject data entry
      • Delivery of reports dynamically linked to data
    2. Automated email communication
    3. Scheduling
  • Examples
    1. Data entry forms with video, sounds, pictures, etc.
    2. Reports driven by data (e.g., progress toward clinical goals, chart of prognosis, list of support groups / other services, etc.)
    3. Automated email reminders of data collection events
  • What To Consider
    1. What proportion of targeted cohort is able to use / access a computer?
    2. What information would be helpful to patients (e.g, disease FAQs, brochures, charts, graphs, feedback on goals, prognostic chart, treatment video, educational materials etc.), and how can this information be customized to a specific patient?
    3. What information could a patient provide that would facilitate or improve clinical care?

Healthcare and Research Staff

Automated Clinic Notes And Reports

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Answers

Automated Clinic Notes

Enhance clinical decision making and workflow via single subject and group-level reports.

  • Key Features
    1. Integrated word-processor for layout design, formatting, etc.Easily accommodate form layout designs and formatting (see here)
    2. Automated clinic notes / reports (single subject-levelsee here)
      • Boilerplate and conditional logic driven text
      • Within or across visit summaries and analysis
      • All data elements completely accessible and configurable
    3. Group-level Reports
      • Aggregation across subjects, within or across visits
      • Dynamically linked charts, graphs, tables
      • Combine data across patient registries and/or studies
  • Examples
    1. Across specialty consolidated case-conference note
    2. Color coded matrix coded table or graph of clinical parameters over time
    3. Outcome comparisons across groups using charts, tables and graphs
  • What To Consider
    1. What data driven tasks (e.g., clinic notes, group reporting, patient summaries, etc.) can be automated?
    2. What components of the clinic note best fit standardization or target an important research aim?
    3. What information (e.g., tends, cut-points, goals, seminal events, risk-factors, standardized scores, event date timing, etc.) would help staff improve care and/or facilitate workflow?

Academic Community

Organize And Plan Publications, Abstracts, Etc.

Complete integration of data collection and the creation of all types of academic output (e.g., manuscripts, posters, grants, etc.)

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Create Manuscripts

Workbench area complete integrates data collection with the analytical/manuscript generation process (see here).

  • Key Features
    1. Organize academic output and related files.
    2. Facilitate data analysis and publication write-up
      • Create and organize datasets (see here)
        • Include raw, recoded, transformed, and calculated variables within or across visits
        • Utilize integrated data cleaning / scrubbing routines
        • Seamlessly transfer data to statistical packages
      • Create reports with charts, graphs, and tables dynamically linked to study data
      • Integrated word-processor for report layout design and formatting
    3. File and task management
      • Coordinate tasks across staff using a centralized calendar
      • Upload and track all associated files
  • Examples
    1. Plan, create and instantly update study safety monitoring board reportsmonitoring reports
    2. Departmental or institutional-level report of enrollment and research activitiesConsolidated report of all patient surveys and quality of metrics
    3. Create all manuscript tables and graphs, update as needed.
  • What To Consider
    1. What academic output (e.g., manuscripts, abstracts) is planned and what would make the process of creating this output faster?
    2. How should data sets be set up so as to facilitate data analysis?
    3. What
    are the planned
    1. research productivity and quality of
    care administrative reports
    1. care reports would be helpful to see?

Laying The Foundation

Preparing To Capture Data

After the information output has been planned (see above), there are a number of practical and theoretical issues that will need to be addressed before capturing data. The link below provides an outline designed to help sort through these issues. This is not a detailed 'cookbook', but instead briefly covers the content- and design-related steps to ensure the various issues are addressed. Contact us for questions ( support@sciencetrax.com ).

Patient Registry Setup Outline (pdf)

Final Steps

As your group gets close to implementing the new registry, the following helps expedite the process:

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Patients

Engage patients through an easy to use, interactive on-line portal (see here).

  • Key Features
    1. Leverage dynamic, multi-media tools and reporting to:
      • Personalize the patient's experience
      • Create a dynamic "me-first" reason for patients to return
      • Deliver content specifically tailored to the patient, based on their OWN data!
    2. Completely customizable layout, content and look and feel
    3. Automated email communication
    4. Scheduling
  • Examples
    1. Data entry forms with video, sounds, pictures, etc.
    2. Clinic-specific look, images, content menus and pages, etc.
    3. Reports driven by data (e.g., progress toward clinical goals, chart of prognosis, list of support groups / other services, etc.)
    4. Automated email reminders of data collection events
  • What To Consider
    1. What proportion of targeted cohort is able to use / access a computer?
    2. What information would be helpful to patients (e.g, disease FAQs, brochures, charts, graphs, feedback on goals, prognostic chart, treatment video, educational materials etc.), and how can this information be customized to a specific patient?
    3. What information could a patient provide that would facilitate or improve clinical care?
    4. How do you want to brand your clinic?