HAP 786: Workshop in Health Informatics

  
 

Lecture: Report Progress to Industry Contacts

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Overview

Objectives

  • Present complex analytical concepts to policymakers
  • Maintain network of industry contacts
  • Gain insights to analysis from industry leaders.

Assigned Reading and Learning Materials

  • Redd's lung cancer paper Read► (Use instructor's last name for password)
  • Report on All of Us breast cancer study YouTube►
  • Shima Salim's paper on response to antidepressants Read►

Assignment

Task 1: Report Your findings. If you are a project manager for the course, then you should follow the following section headings:

  1. Executive Summary: Key project goals, achievements, and outcomes.       
  2. Team Overview: List of teams, roles, and primary objectives.       
  3. Progress and Achievements: Major milestones and deliverables for each team.       
  4. Challenges: Obstacles faced, impact, and solutions implemented. Provide sufficient details so that the challenges can be understood by future teams and solutions anticipated.      
  5. Collaboration and Dependencies: Inter-team coordination and any bottlenecks.       
  6. Lessons Learned: Key insights and best practices for future projects.       
  7. Recommendations: Suggested next steps based on outcomes.

All others should follow the following report structure:

  1. Abstract/Executive Summary.  Include a structured abstract using objective of the study, method, results, and main conclusion.  The abstract should be written after you complete other sections.  The abstract must not exceed 500 words and should report the number of words used in the abstract.
  2. Background. Literature review should not exceed 1 page. Your one page literature review should assume a reader familiar with the literature and not exceed three paragraph.  The first paragraph should address the significance of the area you are addressing, including prevalence of depression and importance of selection of antidepressants. The second paragraph should describe failure of clinicians in selecting the right antidepressant for African Americans, as reported in the literature. The paragraph should not exceed two or three sentences but can have numerous references.  The last paragraph should discuss how your analysis can help selection of antidepressants for African Americans.  Background section should be a brief synthesis of existing research findings related to the problem being addressed in the study. Every sentence should have a reference.  We are not interested in unsupported claims.
  3. Methods. The method section should be a complete description of the methods; and there is no page limit but brevity is appreciated. It should include a paragraph or a sentence on source of data. It should describe the inclusion and exclusion criteria for the creation of the cohort and compare these criteria to what has been done in the literature. It should have a sentence or a paragraph, with citations, on definition of remission.  It should have a sentence or a paragraph on number of, and definition of, independent variables. These statements should clarify how missing values were treated and explain what steps were taken to ensure that independent variables occur prior to response/dependent variable. There should be a paragraph on analytical methods used.  
  4. Results. The result section should describe the findings and there is no page limit.  Table 1 should be description of the population studied.  Figures and additional tables should summarize the statistical findings. These should include parameters of your model and the fit between the guide and experience of African Americans. There should not be any discussion of findings in the result section.  Here is an example of a Table to report McFadden R-square for AI predictions among African Americans:

    Table 2: Cross-Validated McFadden R2in Predicting African Americans Antidepressant Response

    Amitriptyline

    Bupropion

    Nortriptyline

    Escitalopram

    Cases

    1,984

    2,658

    804

    2031

    Cases with Remission

    780

    1,064

    277

    791

    AI Predictions

    5%

    13%

    15%

    15%

    AI & Race-Specific Model

    7%

    12%

    30%

    20%

    Table 3: Top 5 Factors with Largest Absolute value Added to the AI
      Amitriptyline Bupropion Nortriptyline Escitalopram
    Intercept xx vv bb vx
    Top factor, coefficient factor, coefficient factor, coefficient factor, coefficient
    1st factor, coefficient factor, coefficient factor, coefficient factor, coefficient
    2nd … … … …
    3rd … … … …
    4th … … … …
    5th … … … …


  5. Discussion section should include 4 distinct sections and there is no page limits.  The first section should be a summary of the key findings.  The second section should be a review of support for the findings in the literature. The third section should summarize study limitations.  The last section should conclude with policy implications.

Task 2: Maintain your relationship with industry contacts by sending them relevant reports on your work.

  1. Prepare Your Progress Report. Draft your email about your progress to date.  Send the email and your report to the instructor. 
  2. Get Approval to Send the Email. Make sure that you do all the corrections and additional analysis that your instructor requests. 
  3. Post Your Report to the Web.  Prepare a narrated slides based on your progress report.  See section on Presentation in the course page. Upload presentation to the web.
  4. Send Progress Reports. Send progress report to your industry contacts. 
  5. Post to your LinkedIn Site.  Posts your progress report on your LinkedIn site.  
This page is part of the course on Workshop in Health Informatics. Most recent revision 12/02/24.