Doctor Evidence’s Digital Outcome Conversion (DOC™) technology is a powerful tool that will enable you to perform dynamic analysis of clinical data on many levels. DOC™ converts data from clinical studies into a powerful, immediately accessible database. The data set can be queried to offer valuable insights to support your business. You can use the results of your analysis for multiple projects—which reduces redundant work effort – all while maintaining full data transparency and documentation of findings that support compliance requirements.

Comparative Effectiveness
• Compare competitive products based on clinical outcomes, safety, and cost-effectiveness
• Evaluate safety and efficacy of product by targeted populations through weighted data filters

Comprehensive, Easy-to-Use Review Platform
• One page digital summaries show all the information you need to review a study
• Review study design, patient characteristics, and clinical results data for every study in the database
• Graphic charts demonstrate product safety and efficacy for specific diseases or conditions, patient populations or clinical outcomes

Continuously Updated Evidence
• Our powerful searching software continuously updates the database with studies as they become available

Doctor Evidence offers unparalleled technology to automate systematic literature review and meta-analysis-tools for you to make sound evidence-based decisions. Our sophisticated meta-analysis and systematic review engine helps you manage and analyze clinical evidence so that you can respond quickly with a high degree of accuracy.

Clinical Gap Analysis
• Our meta-analysis feature reveals literature gaps for a product, and searches for the literature you need to identify future areas for product growth
• Reporting tools give you dynamic data on treatments and diseases so you can accelerate communication to your clients
• Determine where you need to create new clinical trial designs through our gap analysis—is growth the same as clinical trial designs?

Comparative Analytics
• Identify competitive advantages of a product over alternative products
• Intuitive side-by-side view of literature reviews compares treatment, efficacy, safety and dosing

Combining Doctor Evidence’s multi-disciplinary services expertise with our core software platform enables you to evaluate economic costs through automated economic modeling. Help your clients make informed health economic evaluations by providing up-to-date cost-effectiveness and burden-of-illness analysis.

Cost of Treatment Evaluation
• Compare the cost of one product to other treatments by factoring the differences in clinical effect, safety, and treatment cost
• Negotiate pricing and formulary policy based on real measureable value

Long Economic Term Planning and Support
• Evaluate the impact of burden-of-illness costs
• Calculate long term effects on budget and population health benefits as it relates to the breadth of clinical evidence
• Compile dossiers for legal and regulatory teams

Doctor Evidence offers expertise which enables you to stay informed on regulatory requirements and manage risk for patient safety for a given treatment. Our databases and powerful analytic technology combine to offer you invaluable information in this crucial area of service.

Pre- and Post-marketing Studies
• Use our evaluation studies of pharmaceutical clinical studies through the life-cycle of a product
• Make essential post-marketing decisions based on real-time data

Doctor Evidence addresses the complex topic of disease epidemiology through access to published and unpublished evidence, so that you can determine the incidence rates of any disease. Make evidence-based decisions by using our custom databases on disease epidemiology, and risk assessment by geography, demographic, treatment or time period.

Relevant Evidence
• Review custom databases on potential correlations and/or causes of diseases
• Understand incidence and prevalence of diseases and co-morbidities
• Evaluate population risk factors

Access and Manageability of Data
• Manage knowledge through user friendly custom databases
• Transparent evidence addresses drug-event causal relationship