What We Deliver
Level 0 – Co-Located Data
Co-Located Data: As a minimum, the following data are co-located in a single data warehouse: HIMSS EMR Stage 3 data, Revenue Cycle, Financial, Costing, Supply Chain, and Patient Experience. Claims data are included, if possible. Data content is updated within one month or less of changes in the source system. Searchable metadata repository is available across the enterprise.
Level 1 – Data Linkage and Usability, Patient Registries
Master reference data identified and standardized across disparate source system content in the data warehouse. Naming, definition and data types are consistent with local standards. Patient registries are defined primarily based on billing data.
Level 2 – Automated Internal Reporting
Analytic motive is focused on consistent, efficient production of reports required for basic management and operation of the healthcare organization, including key performance indicators, interactive dashboards and simple reports.
Level 3 – Automated External Reporting
Analytic motive is focused on consistent, efficient production of reports required for: 1) regulatory and accreditation requirements such as the CMS/JC Core Measures, tumor registry, communicable diseases; 2) payer incentives, such as MU, PQRS, Value-based Purchasing, Readmission Reduction, HAC-POA; and 3) specialty society databases such as ACC, STS, Vermont-Oxford. Adherence to industry-standard vocabularies is required. Text data content is available for simple key word searches.
Level 4 – Population Health Management
Analytic motive is focused on: improving the health of patient populations; informing healthcare investment, administration, and policy. Data content is organized into evidence-based, standardized patient registries for the highest opportunity patient conditions, supporting: 1) acute and chronic condition management; 2) measurement of clinical-effectiveness indicators (e.g., NLM VSAC CQMs, HEDIS) and relevant CMS/JC and MU measures; and 3) support for translational clinical research. Data governance function is operating effectively to advocate and support a data-driven culture. Patient registries are defined based on billing and clinical data.
Level 5 – Data Driven Culture – per case focus
Analytic motive shifts to exploitation of analytics to succeed under per case payment. Permanent technical and clinical improvement teams exist for the organization’s highest opportunity clinical care families, patient workflows and patient injury prevention processes. Employees have ubiquitous access to data and KPIs, actionable to their role. Analytics are available at the point of care to improve per case clinical and financial outcomes. Data content expands to include bedside devices. Data warehouse content is updated within one day of source system changes.
Level 6 – Care Transformation – per capita focus
Analytic motive expands to exploit analytics to succeed under capitation payment, including implementation of standardized algorithms and criteria for diagnosis, triage to treatment venue, ambulatory treatment and monitoring, referral to sub-specialty providers, and invasive intervention. Focus expands from management of cases to collaboration with payer partners to manage episodes of care, including predictive modeling, forecasting and risk stratification. Data warehouse content is updated with real-time data feeds from selected source systems. Content expands to include insurance claims and external pharmacy data.
Level 7 – Personalized Wellness Management
Analytic motive expands to wellness management and mass customization of care. Data content expands to include genomic, familial, text (clinical notes and reports), and patient self-reported data. Analytics expands to include NLP, prescriptive analytics, intervention decision support.