Chat with us, powered by LiveChat Every health care organization collects data from its patients, and with access to this data comes the responsibility of securing and using data in a - Wridemy

Every health care organization collects data from its patients, and with access to this data comes the responsibility of securing and using data in a

 

Every health care organization collects data from its patients, and with access to this data comes the responsibility of securing and using data in applications that are ethical, legal, and with studied outcomes. While organizational health information management supports many of these responsibilities, the decision makers ultimately shape an organization and its future. In this assessment, you analyze the data provided and consider its potential impact in the scenario.

Part I: Cases by City

Read the following scenario:

Data has been collected to identify specific cases of people who are infected with a dangerous virus. Your organization has an interest in knowing where the population is most affected in an effort to move resources to areas that need them.

Create a bar chart using Microsoft Excel® and the data provided in the Cases by City spreadsheet to identify the cities with the highest counts of cases.

Write a 525- to 700-word analysis of the data. Include an answer to the following questions:

  • What are the top 5 cities for infected cases?
  • How many infected cases do each of those cities have?
  • What is the prevalence rate per 100,000 people?
  • What else can be deduced after evaluating the chart?

Include your bar chart with the analysis.

Part II: Ages Impacted

Now that we know where the outbreaks are located, your organization wants to know more about who it affects. The age of the patient will determine what kind of resources will be needed in those areas.

Create a side-by-side bar graph using Microsoft Excel® and the data provided in the Ages Impacted spreadsheet to identify the age groups affected by the virus.

Note: This information will be used for further analysis in future assessments.

Write a 525- to 700-word analysis of the data. Include an answer to the following questions:

  • Which age groups are most affected?
  • Which age groups are least affected?
  • What is the prevalence rate per age demographic?
  • What else can be deduced after evaluating the chart?

Include your side-by-side bar graph with the analysis.

Format your citations according to APA guidelines.

Compile Part I and Part II into a report that could be submitted to the leadership in your organization.

Sheet1

City Date Cases <18 19-30 31-60 61+
New York 4/24/17 189 68 15 34 72
Los Angeles 4/2/17 201 64 16 56 65
Chicago 4/27/17 14 4 1 3 6
Houston 4/27/17 272 98 16 52 106
Philadelphia 4/24/17 5 2 0 1 2
Phoenix 4/2/17 289 145 20 32 92
San Antonio 4/7/17 95 46 6 12 31
San Diego 4/2/17 258 114 15 34 95
Dallas 4/24/17 83 42 8 12 21
San Jose 4/23/17 109 49 9 17 31
Austin 4/17/17 281 151 12 39 79
Jacksonville 4/14/17 322 93 19 61 149
San Francisco 4/9/17 76 27 5 25 19
Indianapolis 4/11/17 7 3 0 1 3
Columbus 4/9/17 14 7 1 2 4
Fort Worth 4/29/17 98 47 7 12 32
Charlotte 4/10/17 19 11 1 2 5
Seattle 4/12/17 65 36 7 10 12
Denver 4/2/17 30 16 2 1 11
El Paso 4/28/17 29 14 2 5 8
Detroit 4/28/17 35 10 2 7 16
Washington D.C. 4/3/17 61 22 4 12 23
Boston 4/13/17 28 10 1 4 13
Memphis 4/25/17 31 16 2 5 12
Nashville 4/24/17 23 11 2 2 8
Portland 4/2/17 18 8 1 2 7
Oklahoma City 4/27/17 11 6 1 2 2
Las Vegas 4/27/17 146 59 12 37 41
Baltimore 4/24/17 26 15 2 2 7
Louisville 4/2/17 17 5 1 3 8
Milwaukee 4/7/17 12 4 1 2 5
Albuquerque 4/2/17 51 19 3 7 22
Tucson 4/24/17 114 51 8 19 36
Fresno 4/23/17 187 93 13 19 62
Sacramento 4/17/17 51 22 3 7 9
Kansas City 4/14/17 38 19 4 6 9
Long Beach 4/9/17 215 76 17 40 82
Mesa 4/11/17 231 129 12 25 65
Atlanta 4/9/17 220 63 13 42 102
Colorado Springs 4/29/17 5 2 0 1 2
Virginia Beach 4/10/17 4 1 0 1 2
Raleigh 4/12/17 8 4 1 1 2
Omaha 4/2/17 3 1 0 0 2
Miami 4/28/17 299 170 18 30 81
Oakland 4/28/17 84 42 8 18 16
Minneapolis 4/3/17 9 6 1 1 3
Tulsa 4/13/17 127 71 10 32 118
Wichita 4/25/17 83 24 5 22 32
New Orleans 4/10/17 248 89 15 47 97
Arlington 4/12/17 11 4 1 2 4

Sheet2

Sheet3

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Sheet1

City Date Cases
New York 4/24/17 189
Los Angeles 4/2/17 201
Chicago 4/27/17 14
Houston 4/27/17 272
Philadelphia 4/24/17 5
Phoenix 4/2/17 289
San Antonio 4/7/17 95
San Diego 4/2/17 258
Dallas 4/24/17 83
San Jose 4/23/17 109
Austin 4/17/17 281
Jacksonville 4/14/17 322
San Francisco 4/9/17 76
Indianapolis 4/11/17 7
Columbus 4/9/17 14
Fort Worth 4/29/17 98
Charlotte 4/10/17 19
Seattle 4/12/17 65
Denver 4/2/17 30
El Paso 4/28/17 29
Detroit 4/28/17 35
Washington D.C. 4/3/17 61
Boston 4/13/17 28
Memphis 4/25/17 31
Nashville 4/24/17 23
Portland 4/2/17 18
Oklahoma City 4/27/17 11
Las Vegas 4/27/17 146
Baltimore 4/24/17 26
Louisville 4/2/17 17
Milwaukee 4/7/17 12
Albuquerque 4/2/17 51
Tucson 4/24/17 114
Fresno 4/23/17 187
Sacramento 4/17/17 51
Kansas City 4/14/17 38
Long Beach 4/9/17 215
Mesa 4/11/17 231
Atlanta 4/9/17 220
Colorado Springs 4/29/17 5
Virginia Beach 4/10/17 4
Raleigh 4/12/17 8
Omaha 4/2/17 3
Miami 4/28/17 299
Oakland 4/28/17 84
Minneapolis 4/3/17 9
Tulsa 4/13/17 127
Wichita 4/25/17 83
New Orleans 4/10/17 248
Arlington 4/12/17 11

Sheet2

Sheet3

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