469 lines
655 KiB
HTML
469 lines
655 KiB
HTML
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<div class="pane">
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>HealthcareIO - Claims </title>
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<style>
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body{
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padding:8px;
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padding-left:4%;
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padding-right:4%;
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}
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.pane{
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padding:4px;
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display:grid;
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gap:16px;
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grid-template-columns:repeat(2,1fr) ;
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}
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.numbers {
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display:grid;
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grid-template-columns:repeat(2,1fr);
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gap:16px;
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/*padding:2px;*/
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/*border:1px solid #CAD5E0;*/
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}
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.numbers .scalar {
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padding:8px;
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background-image: linear-gradient(to bottom, #f3f3f3,#d3d3d3, #ffffff);
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border:1px solid #CAD5E0;
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font-family:sans-serif;
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text-transform:capitalize;
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text-align:right;
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font-size:12px;
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display:grid;
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grid-template-rows:auto 28px; gap:2px;
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}
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.numbers .scalar .value-text {
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border-top:1px solid #CAD5E0;
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padding:8px;
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font-weight:bold;
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align-items:center;
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font-size:14px;
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display:grid;
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}
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.numbers .scalar .value {
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display:grid;
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color:#004b79;
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align-content:center;
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font-size:48px; text-align:right; font-weight:bold;}
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.frame {
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background-image: linear-gradient(to bottom, #f3f3f3,#d3d3d3, #ffffff);
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padding:2px;
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border:1px solid #CAD5E0;
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}
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.figure {grid-area:figure; width:500px; height:350px; display:grid; align-items:center}
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.info {height:28px; width:100%; grid-area:info;
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display:grid;
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align-items:center;
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text-align:center; text-transform:capitalize; padding:4px; font-size:12px; font-family:sans-serif; border-top:1px solid #CAD5E0;}
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.grid {grid-area:grid; }
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.label {grid-area:label; font-weight:bold; font-size: 22px; text-align:center; text-transform:capitalize}
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.chart {
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padding:4px;
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padding:8px;
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display:grid; grid-template-areas:
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"label label label"
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"figure grid grid"
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"info info info" ;
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gap:2px;
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}
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img {height:auto; max-width:100% ;}
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table {width:100%; border-collapse: collapse;}
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table , TH, TD{ font-size:14px; padding:8px; font-family:sans-serif; border:1px; border:1px solid #CAD5E0;}
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table thead, tbody th { padding:4px; text-transform:capitalize; background-color:#4682B4; color:#ffffff; text-align:center}
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table thead tr th {text-align:center}
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table tbody td {text-align:right; font-weight: lighter}
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table tbody tr:nth-child(odd) {background: #95bce0}
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table tbody tr:nth-child(even) {background: #c8e5ff}
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</style>
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<div class="frame"><div class="chart donut">
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<div class="label"> Gender Count </div>
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<div class="figure"><img src="data:image/png;base64,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<div class="grid"> <table border="1" class="dataframe">
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<thead>
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<tr style="text-align: right;">
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<th>gender</th>
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<th>patient counts</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>F</td>
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<td>27</td>
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</tr>
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<tr>
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<td>M</td>
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<td>16</td>
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</tr>
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</tbody>
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</table> </div>
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<div class="info"> Counts of gender within the dataset </div>
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</div></div>
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<div class="frame"><div class="chart spline">
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<div class="label"> Monthly Patient Count </div>
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<div class="figure"><img src="data:image/png;base64,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<div class="grid"> <table border="1" class="dataframe">
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<thead>
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<tr style="text-align: right;">
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<th></th>
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<th>claim counts</th>
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<th>patient counts</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<th>count</th>
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<td>1.0</td>
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<td>1.0</td>
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</tr>
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<tr>
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<th>mean</th>
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<td>50.0</td>
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<td>43.0</td>
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</tr>
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<tr>
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<th>std</th>
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<td>NaN</td>
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<td>NaN</td>
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</tr>
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<tr>
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<th>min</th>
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<td>50.0</td>
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<td>43.0</td>
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</tr>
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<tr>
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<th>25%</th>
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<td>50.0</td>
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<td>43.0</td>
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</tr>
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<tr>
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<th>50%</th>
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<td>50.0</td>
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<td>43.0</td>
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</tr>
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<tr>
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<th>75%</th>
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<td>50.0</td>
|
||
|
|
<td>43.0</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>max</th>
|
||
|
|
<td>50.0</td>
|
||
|
|
<td>43.0</td>
|
||
|
|
</tr>
|
||
|
|
</tbody>
|
||
|
|
</table> </div>
|
||
|
|
<div class="info"> monthy patient counts </div>
|
||
|
|
</div></div>
|
||
|
|
<div><div class="numbers">
|
||
|
|
<div class="scalar"><div class="value bold">50</div><div class="value-text">claim counts</div></div>
|
||
|
|
<div class="scalar"><div class="value bold">43</div><div class="value-text">patient counts</div></div>
|
||
|
|
<div class="scalar"><div class="value bold">11760.38</div><div class="value-text">amount</div></div>
|
||
|
|
<div class="scalar"><div class="value bold">6</div><div class="value-text">taxonomy count</div></div>
|
||
|
|
</div></div>
|
||
|
|
<div class="frame"><div class="chart donut">
|
||
|
|
<div class="label"> Place of Service </div>
|
||
|
|
<div class="figure"><img src="data:image/png;base64,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
|
||
|
|
<div class="grid"> <table border="1" class="dataframe">
|
||
|
|
<thead>
|
||
|
|
<tr style="text-align: right;">
|
||
|
|
<th>codes</th>
|
||
|
|
<th>counts</th>
|
||
|
|
</tr>
|
||
|
|
</thead>
|
||
|
|
<tbody>
|
||
|
|
<tr>
|
||
|
|
<td>11</td>
|
||
|
|
<td>50</td>
|
||
|
|
</tr>
|
||
|
|
</tbody>
|
||
|
|
</table> </div>
|
||
|
|
<div class="info"> distribution of the places of service in the claim. We have :count distinct places of service for a total of :rows records </div>
|
||
|
|
</div></div>
|
||
|
|
<div class="frame"><div class="chart barh">
|
||
|
|
<div class="label"> Diagnosis Code Distribution </div>
|
||
|
|
<div class="figure"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAACbkAAAUSCAYAAAAuA25TAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAuIwAALiMBeKU/dgAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzde1jUZf7/8fdnmIHhOMNBBCVFxfOxsDK3VjIPqR1cyrKyNHOtVv1Wbml20LTc0rR01bU12/Rn69ZmWZFW20Hz0KpJaYKCkKKggJwHZjjMwOf3h9KOw3EQmEGfj+vquvrcc9+f93vGDzS7vq77VlRVFQAAAAAAAAAAAAAAAAAA3JHG1Q0AAAAAAAAAAAAAAAAAAFAXQm4AAAAAAAAAAAAAAAAAALdFyA0AAAAAAAAAAAAAAAAA4LYIuQEAAAAAAAAAAAAAAAAA3BYhNwAAAAAAAAAAAAAAAACA2yLkBgAAAAAAAAAAAAAAAABwW4TcAAAAAAAAAAAAAAAAAABui5AbAAAAAAAAAAAAAAAAAMBtEXIDAAAAAAAAAAAAAAAAALgtQm4AAAAAAAAAAAAAAAAAALdFyA0AAAAAAAAAAAAAAAAA4LYIuQEAAAAAAAAAAAAAAAAA3BYhNwAAAAAAAAAAAAAAAACA2yLkBgAAAAAAAAAAAAAAAABwW4TcAAAAAAAAAAAAAAAAAABui5AbAAAAAAAAAAAAAAAAAMBtEXIDAAAAAAAAAAAAAAAAALgtQm4AAAAAAAAAAAAAAAAAALdFyA0AAAAAAAAAAAAAAAAA4LYIuQEAAAAAAAAAAAAAAAAA3BYhNwAAAAAAAAAAAAAAAACA2yLkBgAAAAAAAAAAAAAAAABwW4TcAAAAAAAAAAAAAAAAAABui5AbAAAAAAAAAAAAAAAAAMBtEXIDAAAAAAAAAAAAAAAAALgtQm4AAAAAAAAAAAAAAAAAALeldXUDAFqHoih6EelmN/SrqqplruoHAAAAAAAAAAAAAAAAaAxCbsCVo5uIJNhd9xORRBf1AgAAAAAAAAAAAAAAADQKx5UCAAAAAAAAAAAAAAAAANwWITcAAAAAAAAAAAAAAAAAgNsi5AYAAAAAAAAAAAAAAAAAcFuE3AAAAAAAAAAAAAAAAAAAbouQGwAAAAAAAAAAAAAAAADAbRFyAwAAAAAAAAAAAAAAAAC4LUJuAAAAAAAAAAAAAAAAAAC3RcgNAAAAAAAAAAAAAAAAAOC2CLkBAAAAAAAAAAAAAAAAANwWITcAAAAAAAAAAAAAAAAAgNsi5AYAAAAAAAAAAAAAAAAAcFuE3AAAAAAAAAAAAAAAAAAAbouQGwAAAAAAAAAAAAAAAADAbRFyAwAAAAAAAAAAAAAAAAC4LUJuAAAAAAAAAAAAAAAAAAC3RcgNAAAAAAAAAAAAAAAAAOC2CLkBAAAAAAAAAAAAAAAAANwWITcAAAAAAAAAAAAAAAAAgNsi5AYAAAAAAAAAAAAAAAAAcFuE3AAAAAAAAAAAAAAAAAAAbouQGwAAAAAAAAAAAAAAAADAbRFyAwAAAAAAAAAAAAAAAAC4La2rGwAAAAAAAAAAAAAAtI74+HgPEVFc3QcAAHBLanR0dKWrm6gNITcAAAAAAAAAAAAAuAzFx8drRMQgIoEi4i/8/TAAAGhAfHy8iIhNRIpFpEBEiqKjo6tc2pSIKKqquroHAK1AUZS+IpJgN9RPVdVEV/UDAAAAAAAAAACAlhEfH+8jImFyPuCmcXE7AACgbasSkSIRyYqOjra4qgmS+gAAAAAAAAAAAABwmbgQcOshIh4iIlqtVuvt7R3g6ekZoNFotIqicFwpAACoi6qqamVVVZWtoqLCVFpaarLZbDY5vytsQHx8/HFXBd3YyQ24QrCTGwAAAAAAAAAAwOXNPuCm1+u9fX1923t4eOhd3RcAAGi7Kisry8xmc3ZZWVmpiFSKiEuCboTcgCsEITcAAAAAAAAAAIDLl2PALSAgoJNc2LFNp9NZ9Hq9ycvLq8zDw8Om0Wj4S2IAAFBDVVWVUllZqS0vL9eXlZUFWK1WnwsvqSaT6bQrg24cVwoAAAAAAAAAAAAAbV+YOATcdDqdOSQk5KxWq610dXMAAKDNsHl7e5eJSKHNZvPIzc3tYLVafS98v6gOurUXkZOt2ZSmNYsBAAAAAAAAAAAAAJpXfHy8RkQMIiK+vr7t5ULALTQ0NIOAGwAAaCqtVlsZGhqaodPpzCKiXPieISJivPD9o9UQcgMAAAAAAAAAAACAts0gIhqdTqfz8PDQi4iEhISc5VhSAABwqTQajRoSEnJWRMTDw0Ov1Wq1cj5zFtCqfbRmMQAAAAAAAAAAAABAswsUEdHr9f4iIjqdzsIObgAAoLlotdpKnU5nERHx9vauDrcFtWYPhNwAAAAAAAAAAAAAoG3zFxHx9PQMEBHR6/Um17YDAAAuN9XfL6q/b8iF7x+thZAbAAAAAAAAAAAAALRtWhERjUajFRHx8vIqc207AADgclP9/aL6+4aIeLRmfUJuAAAAAAAAAAAAANBGxcfH//YXzIqieIiIeHh42FzXEQAAuBxVf7+o/r4hIor995CWRsgNAAAAAAAAAAAAANouxfHfNRqN6qJeAADAZcru+0WN7x6tUr+1CgEAAAAAAAAAAAAAAAAA4CxCbgAAAAAAAAAAAAAAAAAAt0XIDQAAAAAAAAAAAAAAAADgtgi5AQAAAAAAAAAAAAAAAADcFiE3AAAAAAAAAAAAAAAAAIDbIuQGAAAAAAAAAAAAAAAAAHBbhNwAAAAAAAAAAAAAAAAAAG6LkBsAAAAAAAAAAAAAAAAAwG0RcgMAAAAAAAAAAAAAAAAAuC1CbgAAAAAAAAAAAAAAAAAAt0XIDQAAAAAAAAAAAAAAwA2tWbMmXFGUg/b/xMTE3ObqvgCgtRFyAwAAAAAAAAAAAAAAAAC4La2rGwAAAAAAAAAAAAAAuJ+yVfcedHUP+B/9rA8Gu7oHAABchZ3cAAAAAAAAAAAAAAAAmonj8aJ9+/ad7uqeriR6vT7O/vOPiIh4ydU94fLGM9c6CLkBAAAAAAAAAAAAAAAAANwWx5UCV6hHt6xNmH/oC1e3AQAAcEkWDRqjuLoHAAAAAAAAAAAAtCxCbgAAAAAAAAAAAAAAAG5oxowZmTNmzBjs6j4AwNU4rhQAAAAAAAAAAAAAAAAA4LYIuQEAAAAAAAAAAAAAAAAA3BYhNwAAAAAAAAAAAAAAAACA29K6ugEAAAAAAAAAAAAAAHBl2r59u+Ef//hHv/T09IjS0lJfb2/vknbt2uXccsstKU899VRGc9bKyMjQvvPOO1f9+OOPkXl5ecEWi8VPRMTPz6/IYDCYbrrpptR58+adas6a7iohIUH/+uuv98vMzAwuLCwMLC8v1/v5+RUFBQUVjBo16visWbPOtnQPu3fv9luzZk2/kydPdiotLfXz8vKyGI3GwpiYmKTnn38+raXru4OMjAztK6+80ufUqVOhhYWFRrPZ7K/T6aze3t4lXbp0yRg3btzJiRMn5jVHrY8//jhw8+bNfXJzcwOLioqCNBpNlcFgyG/fvn3+rFmzjgwdOtTcHHXcWVt95g4cOODzj3/8IyopKalTSUmJf3l5uY+Hh4fNy8urzGAwFHbt2jVzzJgxp++8885CV/fakhRVVV3dA4BWoChKXxFJqL5+dMtaCe3W2YUdAQAAXLpFg8Yoru4BAAAAAADAleLj47UiMlBEJDQ0tJeISHh4eIpWq6281HuXrbr34KXeA81HP+uDwa7uwRl9+/adfvTo0en2Y6qq/vYeHn744Ws+++yzqfn5+deKiEdt9/Dz80saNGjQlu++++4TnU7XpD7mzp3b4/PPP485c+bMYJPJ1E9VVc/65mu12oKwsLDd06dP/38vvvhiWmNqTJkyJXrjxo1/b1KDF3h5eWWWlZXd7ji+Zs2a8JkzZ8bZjw0bNuylnTt3fu5sjby8PI/x48ffnpCQMLqoqGiQqqp1fqh6vT6jc+fOX69cuXL
|
||
|
|
<div class="grid"> <table border="1" class="dataframe">
|
||
|
|
<thead>
|
||
|
|
<tr style="text-align: right;">
|
||
|
|
<th></th>
|
||
|
|
<th>claim counts</th>
|
||
|
|
<th>patient counts</th>
|
||
|
|
</tr>
|
||
|
|
</thead>
|
||
|
|
<tbody>
|
||
|
|
<tr>
|
||
|
|
<th>count</th>
|
||
|
|
<td>77.00</td>
|
||
|
|
<td>77.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>mean</th>
|
||
|
|
<td>1.32</td>
|
||
|
|
<td>1.23</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>std</th>
|
||
|
|
<td>0.83</td>
|
||
|
|
<td>0.60</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>min</th>
|
||
|
|
<td>1.00</td>
|
||
|
|
<td>1.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>25%</th>
|
||
|
|
<td>1.00</td>
|
||
|
|
<td>1.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>50%</th>
|
||
|
|
<td>1.00</td>
|
||
|
|
<td>1.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>75%</th>
|
||
|
|
<td>1.00</td>
|
||
|
|
<td>1.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>max</th>
|
||
|
|
<td>5.00</td>
|
||
|
|
<td>4.00</td>
|
||
|
|
</tr>
|
||
|
|
</tbody>
|
||
|
|
</table> </div>
|
||
|
|
<div class="info"> distribution of diagnosis codes for patients and by claims </div>
|
||
|
|
</div></div>
|
||
|
|
<div class="frame"><div class="chart scatter">
|
||
|
|
<div class="label"> Diagnosis Count by claims </div>
|
||
|
|
<div class="figure"><img src="data:image/png;base64,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
|
||
|
|
<div class="grid"> <table border="1" class="dataframe">
|
||
|
|
<thead>
|
||
|
|
<tr style="text-align: right;">
|
||
|
|
<th></th>
|
||
|
|
<th>code counts</th>
|
||
|
|
<th>claim counts</th>
|
||
|
|
</tr>
|
||
|
|
</thead>
|
||
|
|
<tbody>
|
||
|
|
<tr>
|
||
|
|
<th>count</th>
|
||
|
|
<td>6.00</td>
|
||
|
|
<td>6.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>mean</th>
|
||
|
|
<td>4.50</td>
|
||
|
|
<td>8.33</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>std</th>
|
||
|
|
<td>3.62</td>
|
||
|
|
<td>10.11</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>min</th>
|
||
|
|
<td>1.00</td>
|
||
|
|
<td>1.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>25%</th>
|
||
|
|
<td>2.25</td>
|
||
|
|
<td>2.25</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>50%</th>
|
||
|
|
<td>3.50</td>
|
||
|
|
<td>5.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>75%</th>
|
||
|
|
<td>5.50</td>
|
||
|
|
<td>8.50</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>max</th>
|
||
|
|
<td>11.00</td>
|
||
|
|
<td>28.00</td>
|
||
|
|
</tr>
|
||
|
|
</tbody>
|
||
|
|
</table> </div>
|
||
|
|
<div class="info"> The distribution of diagnosis codes for every claim </div>
|
||
|
|
</div></div>
|
||
|
|
<div class="frame"><div class="chart barh">
|
||
|
|
<div class="label"> procedure code counts </div>
|
||
|
|
<div class="figure"><img src="data:image/png;base64,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
|
||
|
|
<div class="grid"> <table border="1" class="dataframe">
|
||
|
|
<thead>
|
||
|
|
<tr style="text-align: right;">
|
||
|
|
<th></th>
|
||
|
|
<th>claim counts</th>
|
||
|
|
<th>patient counts</th>
|
||
|
|
</tr>
|
||
|
|
</thead>
|
||
|
|
<tbody>
|
||
|
|
<tr>
|
||
|
|
<th>count</th>
|
||
|
|
<td>27.00</td>
|
||
|
|
<td>27.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>mean</th>
|
||
|
|
<td>2.96</td>
|
||
|
|
<td>2.89</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>std</th>
|
||
|
|
<td>4.64</td>
|
||
|
|
<td>4.30</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>min</th>
|
||
|
|
<td>1.00</td>
|
||
|
|
<td>1.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>25%</th>
|
||
|
|
<td>1.00</td>
|
||
|
|
<td>1.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>50%</th>
|
||
|
|
<td>1.00</td>
|
||
|
|
<td>1.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>75%</th>
|
||
|
|
<td>2.00</td>
|
||
|
|
<td>2.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>max</th>
|
||
|
|
<td>24.00</td>
|
||
|
|
<td>22.00</td>
|
||
|
|
</tr>
|
||
|
|
</tbody>
|
||
|
|
</table> </div>
|
||
|
|
<div class="info"> procedure code counts per claim (distribution of procedure codes) </div>
|
||
|
|
</div></div>
|
||
|
|
<div class="frame"><div class="chart spline">
|
||
|
|
<div class="label"> Procedure Count by Claims </div>
|
||
|
|
<div class="figure"><img src="data:image/png;base64,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
|
||
|
|
<div class="grid"> <table border="1" class="dataframe">
|
||
|
|
<thead>
|
||
|
|
<tr style="text-align: right;">
|
||
|
|
<th></th>
|
||
|
|
<th>code counts</th>
|
||
|
|
<th>claim counts</th>
|
||
|
|
</tr>
|
||
|
|
</thead>
|
||
|
|
<tbody>
|
||
|
|
<tr>
|
||
|
|
<th>count</th>
|
||
|
|
<td>4.00</td>
|
||
|
|
<td>4.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>mean</th>
|
||
|
|
<td>2.50</td>
|
||
|
|
<td>12.50</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>std</th>
|
||
|
|
<td>1.29</td>
|
||
|
|
<td>11.82</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>min</th>
|
||
|
|
<td>1.00</td>
|
||
|
|
<td>1.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>25%</th>
|
||
|
|
<td>1.75</td>
|
||
|
|
<td>4.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>50%</th>
|
||
|
|
<td>2.50</td>
|
||
|
|
<td>11.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>75%</th>
|
||
|
|
<td>3.25</td>
|
||
|
|
<td>19.50</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>max</th>
|
||
|
|
<td>4.00</td>
|
||
|
|
<td>27.00</td>
|
||
|
|
</tr>
|
||
|
|
</tbody>
|
||
|
|
</table> </div>
|
||
|
|
<div class="info"> Represents the distribution of the number of procedures by claim </div>
|
||
|
|
</div></div>
|
||
|
|
<div class="frame"><div class="chart barh">
|
||
|
|
<div class="label"> Taxonomy Code Distribution </div>
|
||
|
|
<div class="figure"><img src="data:image/png;base64,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
|
||
|
|
<div class="grid"> <table border="1" class="dataframe">
|
||
|
|
<thead>
|
||
|
|
<tr style="text-align: right;">
|
||
|
|
<th></th>
|
||
|
|
<th>claim counts</th>
|
||
|
|
</tr>
|
||
|
|
</thead>
|
||
|
|
<tbody>
|
||
|
|
<tr>
|
||
|
|
<th>count</th>
|
||
|
|
<td>6.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>mean</th>
|
||
|
|
<td>8.33</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>std</th>
|
||
|
|
<td>7.37</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>min</th>
|
||
|
|
<td>2.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>25%</th>
|
||
|
|
<td>3.50</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>50%</th>
|
||
|
|
<td>5.00</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>75%</th>
|
||
|
|
<td>12.50</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<th>max</th>
|
||
|
|
<td>20.00</td>
|
||
|
|
</tr>
|
||
|
|
</tbody>
|
||
|
|
</table> </div>
|
||
|
|
<div class="info"> The distribution of the :limit of taxonomy codes </div>
|
||
|
|
</div></div></div></div>
|