Prospection Data Direct

**Overview**
Explore the future of healthcare analytics with Prospection's enriched data solutions, designed to propel understanding of patient outcomes and optimize decision-making in the dynamic healthcare landscape.

Prospection, as a leading data solutions provider, offers unparalleled access to condition-based cohorts derived from patient-level transaction data, encompassing over 100 conditions and 20 therapy areas. Through the Data Direct channel, powered by Databricks delta sharing, Prospection provides robust data services, focusing on Japan's healthcare landscape.

Note that access to Prospection Data Direct via Databricks is contingent on an active subscription to the Prospection AI platform, as well as third party agreements. Geo-fencing restrictions may apply.

**Offerings**
Japan Patient Event Data: [https://www.prospection.com/resources/japan-healthcare-data-access-agreement/)](url)

- Derived from one of Japan's largest-scale hospital-based databases, including medical claims data from DPC hospitals.
- Utilizes Prospection's data transformation capabilities, incorporating harmonization and enrichment workflows.
- Published in a user-friendly common data model for efficient consumption and delivery of insights.
- Customization: Tailor datasets to specific client needs through engagement with Prospection's consultants, expanding the range of use cases.

Enrichment Algorithms for Speed to Insight:

- Leverage a diverse set of enrichment algorithms designed to accelerate the extraction of valuable insights.
- Patient Dynamics (e.g., Initiations): Identify drug exposure events such as initiations, continuations, switches in/out, or drop-offs at the patient event level.
- Adherence: Access adherence algorithm outputs at the patient event level, providing a comprehensive view of patient compliance.
- Persistence: Gain insights into patient persistence through algorithmic outputs at the patient event level.
- Survival: Understand patient survival trends with algorithmic outputs at the patient event level.

**Patient Event Data - Data Model**

The following tables are created per workflow:
- PERSON: contains records that uniquely identify each patient in the source data. This table contains both mapped raw data source data plus Prospection enrichments.
- EVENTS_ALL: contains all medical events combined into a single table. It includes both mapped raw data source data plus Prospection enrichments.

Events of specific category types are also provided as follows:
- DRUG_EXPOSURE: captures records about the utilization of a drug when ingested or otherwise introduced into the body.
- PROCEDURE_OCCURRENCE: contains records of activities or processes ordered by, or carried out by, a healthcare provider on the patient to have a diagnostic or therapeutic purpose.
- CONDITION_OCCURRENCE: Conditions are records of a person suggesting the presence of a disease or medical condition stated as a diagnosis, a sign or a symptom, which is either observed by a Provider or reported by the patient.
- MEASUREMENT: contains records of measurement, i.e. structured values (numerical or categorical) obtained through systematic and standardized examination or testing of a Person or Person's sample.
- HOSPITALIZATION: Data captured during a hospitalization occurrence at admission and discharge.

**Benefits**
By harnessing these advanced data services, subscribers can benefit from:

- Efficiency: Quickly derive meaningful insights with harmonized and enriched datasets.
- Customization: Tailor datasets to unique requirements, enhancing relevance and applicability.
- Predictive Analytics: Empower your predictive analytics by leveraging powerful algorithms for patient dynamics, adherence, persistence, and survival, enabling proactive healthcare decision-making.