Introducing strategic health data consulting and data sourcing
The cornerstone for commercial success when developing a digital health offering is data. Robust data is necessary to drive adoption, secure reimbursement, develop effective commercialization strategies and maximize resource planning and allocation.
Through strategic partnerships with premier data providers, DTxCC has access to the nation’s largest health data ecosystem enabling us to provide real-world patient level de-identified data:
DTxCC will help you determine the data that is needed to perform the analytics necessary to fulfill your needs
Once your data needs have been established:
DTxCC will identify the most appropriate data source(s) to fulfil the intended objectives
Summarize the data for actionable implementation and strategic decision making
We have conducted hundreds of interviews with payers, healthcare providers and patients. The number one factor that is constantly mentioned as necessary for adoption is always robust data.
Payers demand robust clinical and economic evidence demonstrating that your digital health offering delivers cost effective, efficacious results for patient. Both payer and physician require compelling user engagement data recognizing that if the patient isn’t engaged the digital health application will not be effective.
You will need data and data analytics for:
Clinical evidence generation
Health economic evidence
Market sizing analysis
Patient longitudinal cost analysis
Health care provider targeting
Determine cost of care
Understand the patient journey
Maximize customer targeting
Determine HCP referral patterns
Sales and Marketing resource deployment
Generate evidence to support reimbursement:
By connecting claims, EHR, lab data and PROs to support cost of care calculations to determine the economic impact of a digital therapeutic or digital health offering.
Commercial targeting for sales and marketing effectiveness:
By using pharmacy data / specialty pharmacy data, claims and clinical data to identify geographically high potential early adopter Health care prescribers and concentrations of target patient population.
Improve value-based care analytics:
Determine total cost of care estimates by linking EHR and clinical data.
In-depth patient profiling:
Cohort-level insights into key demographics, comorbidities, procedures, treatments, locations of care, specialties seen, and social determinants of health.
Real world health economic analysis:
Tokenize to de-identify your data to determine overlap with various data sets.
Compare total cost of care of patient using the digital application to a control group of patient
Analyzing Point solutions:
DTxCC can determine the ROI of a speciﬁc point- solution, like a mental health solution