Refined Patient Data
Improve your patient data and patient journey insight with advanced data quality stewardship, data cleansing, and master data management
Nothing is more frustrating than trying to make critical access decisions on patient data where updated are:
- Missing
- Misordered
- Mismapped
- Used Incorrectly
In fact, poor data quality remains the number one issue that limits a specialty brand’s use of patient status data. Without this data, manufacturers lack accurate, timely insight into the patient journey. Furthermore, they’re unable to identify friction points that could be impacting patient initiation and adherence.
With IntegriChain’s Refined Patient Data solution, you can:
- Get more timely visibility to providers who are struggling with payer restrictions
- More accurately measure the impact of patient service programs on patient initiation and adherence
- Make more informed decisions on patient access investments
IntegriChain’s Refined Patient Data solution utilizes world-class data science and statistical models to monitor, cleanse, and properly map aggregated patient status data, turning a useless mess into actionable data.
Fixing Specialty Pharmacy (SP) Data Faster
IntegriChain applies advanced analytics to address sticky barriers to SP status data actionability by quickly identifying and triaging problems with SP status maps or issues with SP patient status update timeliness. Examples include:
- Status Update Monitoring. Automated monitoring for timely specialty pharmacy status updates on individual pending and active patients and triage of missing updates.
- Status Sequence Validation. Alerts for data quality stewards when an SP reports a sequence of statuses for a patient that is inconsistent with the brand’s status definitions.
- Status Sequence Analysis. Analytics on the sequences of statuses reported by an SP that identify status mapping problems and highlight when SP operations is not updating status.
- First Patient Status Analysis. Analysis of the first status reported for a patient ID that identifies patient mastering problems and delays in SP reporting on new patients.
- Sub-Status Utilization Analysis: A report of the frequency an SP uses each sub-status, highlighting potential mapping problems and under-capture of critical patient journey information.
Managing Master Data
The key to consistent, high-quality is robust master data management (MDM). IntegriChain extends its MDM capabilities by providing:
- Point of Care (POC) mastering
- Payer mastering
- Product mastering
Data Quality Monitoring
IntegriChain’s Data Quality Cockpit functionality provides a consolidated view of patient data quality. It covers a wide range of data stewardship alerts, issue reports, and analytics including:
- Missing Patient Status Trends
- Failed Status Trends
- Status Sequence Trends
- First Status Trends
- Sub-Status Utilization Trends
- Daily Data Quality Action Items & Status
- Weekly Data Quality Action Items & Status