Data Acquisition
as a Service

Just having data in your EHR or data warehouse doesn’t make it actionable.

d2i has been delivering solutions to the Emergency Medicine and Hospital Medicine space for more than a decade. During that time, we have developed a suite of data integration solutions — including Data Acquisition as a Service (DAaaS) — that help accelerate a broad range of strategic initiatives.

d2i’s DAaaS is as much a service as a product because we host and manage an architecture that turns raw data from multiple sources into harmonized information you can trust. This data architecture was built specifically for EM, HM, and related processes and services.

Today DAaaS has been implemented at more than 300 hospital sites, using out-of-the-box data-extract scripts for most electronic health records (EHRs), as well as billing, scheduling, and patient satisfaction systems. The demand for this service is growing rapidly due to the urgent need for curated data sets that help HCOs thrive in an environment of increasing competition, regulation, and the need to demonstrate value.

We are experts at acquiring, cleansing, and aggregating data.

At d2i, we’ve built data extract scripts for all EHRs, guaranteeing quick and easy implementation. And, even if you have an existing investment in a business intelligence platform, you can use d2i’s DAaaS to do the heavy lifting for you.

We gather data from multiple sources, including:

EMRs/EDIS
Satisfaction surveys
Scheduling software
Labs
RCM vendors

It’s your data, and we’ll get it to you any way you like. Even with multiple departments and different systems, we normalize information, identify and correct errors, and give you accurate, reliable data you can use.

Strategic Initiatives

Quality and Risk Mitigation: Initiatives to reduce opioid use, sepsis, and clinical variability
Cost Containment: Reducing unnecessary utilization, optimizing staff scheduling and productivity, and making efficient use of hospital resources
Population Health: Smoothing care transitions and reducing readmissions
Revenue Growth: Reducing leakage, patients leaving without being seen, improving coding accuracy, and improving patient satisfaction to attract and retain patients
Performance Management: Support for performance-based compensation, OPPE, and collaborative, data-driven PI conversations across departments
Value-Based Reimbursement: Initiatives to optimize value-based incentive programs, including CMS’ Bundled Payments for Care Improvement (BPCI), MIPS, APMS, as well as private-payer programs.
Data Extraction: ETL scripts, algorithms, and processes that take raw extracted data from EHRs and other data sources and turn it into actionable information
Data Normalization: Aggregation of independently created data sources (structured and semi-structured) into unified data sets to improve quality, including adjusting values defined in different terms to notionally common terms in order to establish relationships and reduce redundancy
Data enrichment: Extrapolation of data to create new elements that enhance analytics, for instance, the creation of diagnostic subgroups

Processes are completely automated, allowing for extracts at any time interval, and data models are optimized for balanced scorecards and cross-domain advanced analytics.

Categories of Data Acquired, Cleansed, and Normalized by DAaaS

Patient demographics, medications, allergies, and immunizations, as well as social, family, and surgical histories
Problems and complaints
Coding: ESI, E&M, ICD10, CPT, LOINC, and RxNORM
Facility, staff, and scheduling data
Patient movement and provider touch points, with time stamps
Pharmacy, radiology, and lab orders and results
Billing and payer data
Patient satisfaction
Unstructured data abstracted from provider notes

Strategic Initiatives

Quality and Risk Mitigation: Initiatives to reduce opioid use, sepsis, and clinical variability
Cost Containment: Reducing unnecessary utilization, optimizing staff scheduling and productivity, and making efficient use of hospital resources
Population Health: Smoothing care transitions and reducing readmissions
Revenue Growth: Reducing leakage, patients leaving without being seen, improving coding accuracy, and improving patient satisfaction to attract and retain patients
Performance Management: Support for performance-based compensation, OPPE, and collaborative, data-driven PI conversations across departments
Value-Based Reimbursement: Initiatives to optimize value-based incentive programs, including CMS’ Bundled Payments for Care Improvement (BPCI), MIPS, APMS, as well as private-payer programs.
Data Extraction: ETL scripts, algorithms, and processes that take raw extracted data from EHRs and other data sources and turn it into actionable information
Data Normalization: Aggregation of independently created data sources (structured and semi-structured) into unified data sets to improve quality, including adjusting values defined in different terms to notionally common terms in order to establish relationships and reduce redundancy
Data enrichment: Extrapolation of data to create new elements that enhance analytics, for instance, the creation of diagnostic subgroups

Processes are completely automated, allowing for extracts at any time interval, and data models are optimized for balanced scorecards and cross-domain advanced analytics.

Categories of Data Acquired, Cleansed, and Normalized by DAaaS

Patient demographics, medications, allergies, and immunizations, as well as social, family, and surgical histories
Problems and complaints
Coding: ESI, E&M, ICD10, CPT, LOINC, and RxNORM
Facility, staff, and scheduling data
Patient movement and provider touch points, with time stamps
Pharmacy, radiology, and lab orders and results
Billing and payer data
Patient satisfaction
Unstructured data abstracted from provider notes

Helping Emergency Departments Improve Performance

d2i offers data analytics solutions to help emergency departments quickly identify and implement opportunities for improvement so that they stay viable in today’s complex health care landscape. See why no other health care analytics tool or EHR system compares: