This slide shows how patient counts and age ranges vary by medication.
Click a medication button above to update this slide instantly.
Topic: Female Diabetes patients (Age 30–40).
Driving question: What does the billing cost look like for this demographic slice, and how might admission type relate?
Below are the raw records for the same filter (female, diabetes, age 30–40).
| Name |
Age |
BloodType |
Medication |
AdmissionType |
BillingAmount |
TestResults |
| mr. KenNEth MoORE |
34 |
A+ |
Lipitor |
Emergency |
$18,834.80 |
Abnormal |
| NicOlE RodriGUEz |
30 |
AB+ |
Lipitor |
Emergency |
$8,408.95 |
Normal |
| apRil SANTIAgO |
33 |
B- |
Penicillin |
Emergency |
$2,305.14 |
Inconclusive |
| TAyLoR howeLl Dds |
35 |
B+ |
Ibuprofen |
Elective |
$30,358.19 |
Inconclusive |
| roBYn miRaNDa |
30 |
A- |
Ibuprofen |
Elective |
$42,792.24 |
Abnormal |
| jOHN GarciA |
39 |
A+ |
Penicillin |
Urgent |
$1,150.87 |
Abnormal |
| NIcholAs haLl |
31 |
A- |
Ibuprofen |
Urgent |
$3,730.00 |
Abnormal |
| CArOl GOMEz |
31 |
B- |
Paracetamol |
Elective |
$11,469.39 |
Abnormal |
| TONi fAULKNer |
39 |
AB- |
Penicillin |
Urgent |
$20,105.03 |
Normal |
| TiMoThY lOpeZ |
33 |
A- |
Ibuprofen |
Urgent |
$22,257.61 |
Abnormal |
| stePHANIe ROdRigueZ |
40 |
O+ |
Penicillin |
Elective |
$31,063.56 |
Normal |
| caTheriNe sMitH |
38 |
AB+ |
Lipitor |
Elective |
$1,656.55 |
Abnormal |
| CArLOS lOPEz |
38 |
O+ |
Penicillin |
Elective |
$2,547.91 |
Inconclusive |
| JaMIE bAKEr |
37 |
AB+ |
Lipitor |
Elective |
$41,548.15 |
Inconclusive |
| johN becKEr |
30 |
O- |
Penicillin |
Urgent |
$46,717.95 |
Inconclusive |
| aPRil MaRTIN |
39 |
AB+ |
Penicillin |
Emergency |
$10,556.98 |
Abnormal |
| DonNa SMitH |
36 |
B+ |
Lipitor |
Emergency |
$38,276.36 |
Normal |
| gEoRge mason |
30 |
AB- |
Penicillin |
Emergency |
$42,500.59 |
Abnormal |
| jorGe singh |
37 |
O+ |
Penicillin |
Emergency |
$8,656.28 |
Normal |
| jAMES NGuyEn |
39 |
AB+ |
Lipitor |
Urgent |
$24,977.27 |
Inconclusive |
| cLiFfOrD lEe |
32 |
A- |
Paracetamol |
Emergency |
$44,695.26 |
Abnormal |
| KImBeRLy wElcH |
37 |
AB- |
Ibuprofen |
Elective |
$22,039.68 |
Abnormal |
| lARry SinGleTOn |
31 |
A- |
Ibuprofen |
Urgent |
$2,924.47 |
Normal |
| chrISTOpheR GReEn |
37 |
AB- |
Paracetamol |
Elective |
$14,265.81 |
Normal |
| maRy beLl |
35 |
O+ |
Paracetamol |
Emergency |
$32,680.61 |
Abnormal |
| zaCHaRy riCE |
37 |
AB- |
Paracetamol |
Emergency |
$37,152.65 |
Abnormal |
| JILL sErRaNO |
35 |
AB+ |
Ibuprofen |
Elective |
$19,769.29 |
Inconclusive |
| mICHAel hIll |
33 |
O+ |
Penicillin |
Elective |
$15,832.56 |
Normal |
| lOGAN torres |
33 |
AB- |
Penicillin |
Emergency |
$22,261.42 |
Abnormal |
| aShleY KIM |
38 |
A+ |
Aspirin |
Emergency |
$14,415.58 |
Inconclusive |
| cHRISTiNa MeDiNa |
34 |
AB- |
Paracetamol |
Elective |
$14,274.97 |
Inconclusive |
| lISA FIsHER |
36 |
A- |
Aspirin |
Elective |
$8,797.41 |
Inconclusive |
| PatriCia HeRNaNdEz |
30 |
AB- |
Penicillin |
Urgent |
$49,101.00 |
Abnormal |
| reNEe MYers |
32 |
B+ |
Aspirin |
Emergency |
$43,090.66 |
Inconclusive |
| THOmAs GonZaLes |
32 |
AB+ |
Paracetamol |
Emergency |
$662.61 |
Normal |
| marY JAmeS |
33 |
B+ |
Penicillin |
Urgent |
$24,792.17 |
Normal |
| mIcHAeL PhaM |
31 |
AB+ |
Aspirin |
Emergency |
$2,134.99 |
Abnormal |
| KeNneth CrAWFORd DdS |
30 |
B- |
Penicillin |
Elective |
$42,230.59 |
Normal |
| jAmes gaRcIa |
32 |
AB+ |
Lipitor |
Urgent |
$22,056.68 |
Abnormal |
Observation idea: scan whether Emergency admissions appear to have higher bills than Urgent/Elective.
Next step: compare AdmissionType to see which category appears most often and which has higher average billing.
| AdmissionType |
Patients |
Avg Bill |
| Emergency |
15 |
$21,776 |
| Elective |
14 |
$21,332 |
| Urgent |
10 |
$21,781 |
If one admission type shows both high volume and higher average bill, it’s a strong candidate driver for deeper analysis.
Conclusion: For female diabetes patients age 30–40, the dataset shows measurable cost outcomes (total + average billing),
and the breakdown by admission type provides a quick direction for deeper analysis.
Next steps: compare billing by Medication or TestResults to look for factors that correlate with higher cost.