Data Overview
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Patient Coverage Over 300 million patients are represented in the dataset |
Healthcare Professionals Information from over 2 million annual HCPs |
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Payer Representation Includes 98% of payers |
Data Update Frequency Weekly and Monthly |
| Data Type | US Claims Data (Open and Closed) 2015-Present |
| Compliance | HIPAA compliant |
| Data Anonymity | Deidentified, Patient level data |
| Hospital Coverage | Data from over 5,000+ hospitals |
| Annual Hospital Claims | Over 300 million annual hospital claims recorded |
| Data Quality | High-quality longitudinal, thoroughly cleaned and validated data |
| Data Accessibility | Data is easily accessible through Prospection’s SaaS platform |
| Security | Data storage and transfer is secure and meets all legal and regulatory requirements |
| Update Frequency | Open claims are updated weekly or monthly, and closed claims are updated on a quarterly basis. |
| Average Delays | Most pharmacy claims typically take about 14 days to reach Prospection’s database, while more complex medical claims may require anywhere from 30 to as many as 90 days to finalise and reach Prospection’s database. |
Patient Counts
By year, open/closed claims
| Claim Counts | Patient Counts | Claim Counts | Patient Counts | |
| Past five years | Hospital - Open | Pharmacy - Open | Hospital - Closed | Pharmacy - Closed |
| 2018 | 211,699,453 | 96,275,032 | 36,584,465 | 19,846,826 |
| 2019 | 205,809,917 | 98,719,250 | 37,115,062 | 20,051,043 |
| 2020 | 202,256,160 | 95,268,449 | 37,330,718 | 18,832,348 |
| 2021 | 220,795,095 | 115,136,069 | 38,838,649 | 20,951,270 |
| 2022 | 189,767,908 | 105,335,148 | 22,649,480 | 12,740,650 |
By Payer
#Patients in Open Claims
| Number of Patients | % Patients | |
| Commercial | 421,100,639 | 69% |
| Medicare | 85,611,851 | 14% |
| Medicaid | 69,047,476 | 11% |
| Unknown | 28,960,102 | 5% |
| Veteran Affairs | 3,243,790 | 1% |
By Region
| Open | Closed | |
| South | 32% | 47% |
| Midwest | 16% | 23% |
| Northeast | 16% | 18% |
| West | 20% | 10% |
| Other/Not Specified | 16% | 1% |
TA Patient Stats - Free Trial vs. Full
1. Lung Cancer
| Therapeutic Area 1 | Lung Cancer (Malignant Neoplasm of Bronchus and Lung) |
| Cohort Definition |
Information on all hospital and pharmacy claims for individuals who have been diagnosed with lung cancer at any point in time.
Defined by ICD-9-CM and ICD-10-CM codes - 162, 1622, 1623, 1624, 1625, 1628, 1629, C34, C340, C3400, C3401, C3402, C341, C3410, C3411, C3412, C342, C343, C3430, C3431, C3432, C348, C3480, C3481, C3482, C349, C3490, C3491, C3492 |
Data Sample Statistics
| Your Free Trial Licence | Full Prospection Platform | |
| Total Patients | 130,861 | 2,621,776 |
| Total Diagnosing HCPs | 203,626 | 334,673 |
2. Prostate Cancer
| Therapeutic Area 2 | Prostate Cancer (Malignant neoplasm of the prostate) |
| Cohort Definition |
Information on all hospital and pharmacy claims for individuals who have been diagnosed with prostate cancer at any point in time.
Defined by ICD-9-CM and ICD-10-CM codes - 185, C61 |
Data Sample Statistics
| Your Free Trial Licence | Full Prospection Platform | |
| Total Patients | 96,960 | 4,318,960 |
| Total Diagnosing HCPs | 140,908 | 327,108 |
3. DLBCL (Diffuse large B-cell lymphoma)
| Therapeutic Area 3 | DLBCL (Diffuse large B-cell lymphoma) |
| Cohort Definition |
Information on all hospital and pharmacy claims for individuals who have been diagnosed with diffuse large B-cell lymphoma at any point in time.
Defined by ICD-9-CM and ICD-10-CM codes - C833, C8330, C8331, C8332, C8333, C8334, C8335, C8336, C8337, C8338, C8339 |
Data Sample Statistics
| Your Free Trial Licence | Full Prospection Platform | |
| Total Patients | 16,780 | 335,718 |
| Total Diagnosing HCPs | 38,185 | 84,363 |
4. Schizophrenia
| Therapeutic Area 4 | Schizophrenia |
| Cohort Definition |
Information on all hospital and pharmacy claims for individuals who have been diagnosed with schizophrenia at any point in time.
Defined by ICD-9-CM and ICD-10-CM codes - 295, 2950, 29500, 29501, 29502, 29503, 29504, 29505, 2951, 29510, 29511, 29512, 29513, 29514, 29515, 2952, 29520, 29521, 29522, 29523, 29524, 29525, 2953, 29530, 29531, 29532, 29533, 29534, 29535, 2954, 29540, 29541, 29542, 29543, 29544, 29545, 2955, 29550, 29551, 29552, 29553, 29554, 29555, 2956, 29560, 29561, 29562, 29563, 29564, 29565, 2958, 29580, 29581, 29582, 29583, 29584, 29585, 2959, 29590, 29591, 29592, 29593, 29594, 29595, F20, F200, F201, F202, F203, F205, F208, F2081, F2089, F209 |
Data Sample Statistics
| Your Free Trial Licence | Full Prospection Platform | |
| Total Patients | 124,512 | 2,493,300 |
| Total Diagnosing HCPs | 163,514 | 361,133 |
5. Pulmonary Arterial Hypertension
| Therapeutic Area 5 | Pulmonary Arterial Hypertension |
| Cohort Definition |
Information on all hospital and pharmacy claims for individuals who have been diagnosed with pulmonary arterial hypertension at any point in time.
Defined by ICD-9-CM and ICD-10-CM codes - 4160, I270, I2721, P2930 |
Data Sample Statistics
| Your Free Trial Licence | Full Prospection Platform | |
| Total Patients | 10,929 | 1,172,158 |
| Total Diagnosing HCPs | 14,519 | 183,621 |
6. Psoriasis
| Therapeutic Area 6 | Psoriasis |
| Cohort Definition |
Information on all hospital and pharmacy claims for individuals who have been diagnosed with psoriasis at any point in time.
Defined by ICD-9-CM and ICD-10-CM codes - 6960, 6961, L40, L400, L401, L402, L403, L404, L405, L4050, L4051, L4052, L4053, L4054, L4059, L408, L409 |
Data Sample Statistics
| Your Free Trial Licence | Full Prospection Platform | |
| Total Patients | 245,771 | 4,898,837 |
| Total Diagnosing HCPs | 146,567 | 441,433 |
Noteworthy Algorithms
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Stable Panel
- In many studies, we need to focus on patients who stay enrolled without breaks during the entire study. We've created a system that automatically picks these patients on our platform. We choose these patients based on how long they've been observed and followed up with in the claims data, which could be for 180 days, 360 days, or 720 days.
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Physician Attribution Layer
- We provide the ability to pinpoint the key influencers in patients' treatments, offering insights on potential action points to influence these physicians further.
- Frequent Provider Identification: The ability to identify the healthcare provider who has most frequently treated a specific patient.
- Recent Provider Identification: The capability to determine the most recent healthcare provider who treated the patient.
- Specialty Filter: An option to adjust the specialty type (e.g., oncologist) within a retrospective period prior to the events of interest.
- We provide the ability to pinpoint the key influencers in patients' treatments, offering insights on potential action points to influence these physicians further.
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Pharmacy Claims Deduplication:
- Our algorithms for pharmacy claims incorporate comprehensive deduplication logics on claim adjudication process to distinguish between dispensed, rejected, and abandoned claims. This enhancement minimizes data redundancy and offers more precise insights into treatment patterns.
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Drug Grouping
- Prospection utilises enriched reference data to group drugs into the most accurate classifications. We employ the Uniform System of Classification, which generally sorts products based on their therapeutic use. This method serves as an essential tool for standardising and comparing pharmaceutical data across various markets and periods.
