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Datavant

Datavant is listed as a mid sized business research supplier in the Scientist.com network, with 1 site in 1 country.

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Countries 1

Services

What this research supplier says it provides, as listed in the Scientist.com network.

Type of company: Mid sized business

Clinical Consulting

  • Data & Risk Management Determine the extent of the risk and the reliability of the data used to access the aforementioned risk.

Clinical Trials

  • Patient Recruitment Recruit and retain patients for clinical trials.
  • Prospective Explorative Studies Conduct a prospective exploratory study to assess the safety and efficacy of a test drug during clinical trials.
  • Site Selection Select clinical trial sites with clinicians who recruit, enroll, treat and evaluate trial patients.
  • Statistical Analysis Planning Technical and detailed elaboration of the principal features of the analysis described in the protocol, and includes detailed procedures for executing the statistical analysis of the primary and secondary variables...

Creative

  • Case Studies Recruit research participants with a behavioral condition to receive either an investigational behavioral intervention or a behavioral intervention in clinical use.

Data Science/Bioinformatics

  • Clinical Biomarker Analysis An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
  • Clinical Data Analysis Analysis that helps you make sense of your clinical data
  • Clinical Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data.
  • Clinical Data Science and Modeling A process that helps make sense of your clinical data
  • Clinical Data Warehousing and Interoperability Data warehousing is the process of collecting, storing, and managing large volumes of structured data from different sources to support analysis and decision-making, while interoperability refers to the ability...
  • Discovery Biomarker Analytics An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
Show all 26 in Data Science/Bioinformatics 20 more
  • Discovery Data Analysis Analysis that helps you make sense of your discovery data
  • Discovery Data Integration The process of combining different complex data types together to make it easier to understand or analyze.
  • Discovery Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users.
  • Discovery Data Science and Modeling A process that helps make sense of your discovery data
  • Discovery Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
  • Discovery Predictive Analytics Analytical approaches to predict how a drug target behaves in a given environment.
  • Discovery Statistical and Mathematical Modeling Use mathematical variables and equations to establish relationships between data.
  • Graph-Based Patient Journey Analysis Graph-based patient journey analysis is a method of visualizing and analyzing the pathways patients take through healthcare systems using graph structures, enabling insights into patient experiences, care patterns...
  • NLP Processing for Unstructured Clinical Notes NLP processing for unstructured clinical notes involves using natural language processing techniques to extract, analyze, and interpret valuable information from free-text medical records, enabling improved clinical...
  • RWE/HEOR Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data.
  • RWE/HEOR Data Science and Modeling A process that helps make sense of your clinical data
  • RWE/HEOR Drug Response Analysis A process to understand how a population is responding to a drug, specifically if there are any adverse events.
  • RWE/HEOR Drug/Therapy Discontinuation Analysis An analysis to understand patient behavior. Are the drugs taken on time, do the patients discontinue use, and if so how long after starting, etc.
  • RWE/HEOR Machine Learning/AI Complex analytical approaches to find patterns and make predictions in RWE/HEOR projects
  • RWE/HEOR Market Analysis A process to understand how a drug is performing in the market and possible opportunities in the market
  • RWE/HEOR Software Tools Software designed to serve the needs of RWE/HEOR research groups.
  • Translational Data Analysis Analysis that helps you make sense of your translational data
  • Translational Data Harmonization and Integration Process to combine different data together for better understanding and analysis of the integrated data.
  • Translational Data Knowledge Extraction Analytical approaches to extract data from different sources like publications, databases, etc. 
  • Translational Data Science and Modeling A process that helps make sense of your translational data
Show all 109 services 97 more

Disease Models

  • Diabetic Retinopathy Models Assess therapeutic efficacy of drug candidates in diabetic retinopathy models of disease.

General Marketing

  • Database Management Software Facilitate the collection, tracking and processing of biological facts, statistics and observations.

HEOR

  • Burden of Illness/Disease Strategy and study related to assessing the impact (economic, non-economic) of disease on health outcomes in a country, region, community, patient, or health system.
  • Clinical Outcome Assessments (Non-Patient Reported) Measure a patient's symptoms, mental state and level of disease condition-related impact on daily life.
  • Clinical Outcomes Measures patient's symptoms, mental, or physical effects of a disease or condition on how the patient functions, recorded by practitioner, provider, or instrument (not by patient).
  • Comparative Effectiveness The generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care.
  • Cost Benefit Analysis Economic evaluation in which costs and benefits (outcomes) are expressed in monetary units, to determine if the benefits of an intervention outweigh the costs.
  • Cost Effectiveness Analysis Compare alternative treatments that lead to similar health outcomes.
Show all 13 in HEOR 7 more
  • Decision Analytic Modeling Assess effects, costs and economic outcomes of treatment. These include cost-effectiveness models and budget impact models.
  • Health Economics and Outcomes Research (HEOR) Evaluate data collected during drug development to maximize the value of a therapeutic product.
  • HEOR Adherence Studies Strategy or study that assess extent to which patients or subjects follow recommendations for prescribed intervention; may include compliance assessment, as well as reasons related to actual or potential non-adherence.
  • Patient Reported Outcomes (PRO) Assessment of health outcomes directly reported by the patient who experienced it, without interpretation of the patient's response by a clinician.
  • Patient Treatment Patterns Assessment of treatment processes and patterns within clinical practice.
  • Resource Utilization Descriptive and/or analytical review of a treatment that investigate the marketing, distribution, prescription, and use of drugs in populations. Endpoints to be assessed are the medical, social, and economic outcomes.
  • Systematic Literature Review Summarizes the results of research (that meet pre-defined eligibility criteria for inclusion) and provides a high level of evidence on the outcomes assessed.

Management Optimization & Development Strategies

  • Big Data Computational assistance with analysis of large data sets to reveal patterns, trends and associations

Market Access

  • Health Technology Assessment (HTA) Preparation/Strategy Dossier Development Perform evidence preparation and/or create strategies for the systematic evaluation of the properties, effects, and/or impacts of health care technology.
  • Market Access Materials Find general strategies and methods used to market a pharmaceutical product or device.
  • Market Research & Business Intelligence Run market feasibility studies, establish customer needs, improve product performance and analyze competition.

Medical Communications

  • Data Visualization Visualize data collected from clinical trials and/or clinical research.
  • Development of non promotional Medical Education Plan Creation of a strategic, compliant framework outlining educational needs, target audiences, content objectives, and tactical deployment of medical materials without promoting a product.
  • Literature Monitoring Ongoing, systematic surveillance and analysis of published scientific literature to track emerging data, competitor activities, and changes in clinical understanding.
  • Medical Affairs Services for non-promotional scientific exchange, supporting the dissemination of accurate medical data and the development of educational content.
  • Medical Literature Reviews Systematic searching, appraisal, and synthesis of published scientific literature to generate evidence-based reports on a specific topic, disease, or treatment.
  • Regulatory Submissions and Compliance Draft, format, and submit documents to Pharmaceutical approval agencies according to documentation and guidelines. This includes documents such as NDAs, INDs, SUSARs, AE reporting, RMPs, and PSURS.

Medical/Commercial

  • Health & Pharmacoeconomics Identify, measure and compare the cost-benefit ratio of products and services.

Model Development

  • Disease Model Database For sourcing disease models.

Old Category HEOR, RWE, Market Access

  • Data - Other Extract insights and patterns from large and complex datasets.
  • Patient-Reported Outcome Studies Get self-reported information regarding the personal health status of an individual.
  • RWE/HEOR/Market Access Disease/Clinical Outcomes Study the course of disease and the possible outcome of disease, including expected frequency.
  • RWE/HEOR/Market Access Hybrid Study Combine different methodologies (retrospective, prospective, registries, chart or claims review, electronic medical/health records) to gain insights into real world patient behavior or drug use.

Pharmacovigilance

  • Aggregate Safety Data Review Cumulative summary of safety information regarding the collection, analysis, and submission of aggregated safety data to health authorities at specified intervals.
  • Periodic Safety Update Reports (PSURs) / Periodic Benefit-Risk Evaluation Reports (PBRERs) Preparation of safety reports to report adverse events that occurred during a specified time period. Evaluate if safety profile of treatment has changed since last report.
  • Pharmacovigilance Literature Surveillance Conduct systematic and ongoing review of scientific and medical literature to identify new information about the safety profile of a drug. This process is crucial for detecting adverse drug reactions (ADRs) that may...
  • Risk Management Plans (RMPs) Develop Risk Management plans (RMPs) that include information on a medicine's safety profile and plans for further pharmacovigilance activities designed to gain greater knowledge. These documents also explain how...
  • Safety Data Management Safety data management involves the collection, analysis, and reporting of data related to the safety of a drug. Including preparing and submitting safety reports to regulatory authorities, which may include periodic...

Primary Market Research

  • Data Cleaning and Statistical Modeling Prepares raw datasets for analysis through validation, normalization, and advanced modeling. Ensures accuracy and enables robust, reproducible insight generation.
  • GDPR, HIPAA, BHBIA, EphMRA Compliance Ensures compliance with data privacy, ethical, and regional marketing research regulations. Mitigates legal risk and builds trust with participants and clients.

Real World Evidence & Data

  • Claims Data & Database Analysis Analysis of care cost and quality.
  • Claims Data - Billing Includes patient demographics, insurance status, geographical location, among others.
  • Claims Data - Medical Includes hospitalization,physician visits,emergency department visits. May or may not include laboratory information including resource utilization, costs or charges, as well as ICD-9 or 10 codes.
  • Claims Data - Pharmacy Includes medications, prescription orders, payment submissions, patient adherence, among others.
  • Clinical Data Registry A study or collection of data regarding the health of patients and the care they receive over different time periods.
  • Clinical Phenotype Data Obtain phenotypic data and observations on patients such as the clinical manifestation of the disease, clinical and behavioral parameters, symptoms, and laboratory test results.
Show all 27 in Real World Evidence & Data 21 more
  • Data Asset Validation Tools for validating that patient data and source has been accurately recorded.
  • Data Merging Tools for combining various data sets into a single data set. Includes data consolidation.
  • Multi-Source Data Pools Multiple data sources aggregated into singular platforms for analysis. May or may not include real-time analytics capabilities.
  • Patient Reported Outcomes (PRO) Databases Database or collection of data related to health outcomes directly reported by the patient who experienced it, without interpretation of the patient's response by a clinician or anyone else.
  • Predictive Analytics Variety of statistical techniques from data mining, predictive modeling, and machine learning, that analyze current and historical facts to make predictions about future or otherwise unknown events.
  • Pregnancy Registries Database containing, through utilizing observational research methods, standardized data about women taking medication or vaccines while pregnant. Data may also collected on the newborn.
  • Real-World Data Acquire real-world data from patients' electronic medical records including clinical information generated during the course of healthcare.
  • Real-World Evidence Acquire clinical data from patients' medical records to analyze trends and the frequency of occurrence of different medical conditions.
  • Registries - Disease Database containing, through utilizing observational research methods, standardized data about patients who have the same disease.
  • Registries - Patient Database containing, through utilizing observational research methods, standardized data about patients who have the same condition, disease, or exposure and is used to evaluate an outcome
  • Registries - Product Includes specific information about a product of interest, route of administration, dose, duration of use, start and stop date.
  • RWD - COVID-19 Data from COVID-19 patients, can include diagnosis, treatment, among others.
  • RWD - Diagnostics/Laboratory Includes information on laboratory procedures/results.
  • RWD - Electronic Medical Record (EMR) Digital version of a patient's medical or health chart containing demographic, clinical, medical, and other treatment information.
  • RWD - Genomics Genomic data collected from a patients with different diseases, can be derived from a range of sources.
  • RWD - Oncology Data from oncology patients, can include clinical treatment, diagnosis, among others.
  • RWD - Rare Diseases Data from patients with rare diseases, can include clinical treatment, diagnosis, among others.
  • RWD - Wearables Data gathered from sources including pedometers, mobile devices, smart watches, among others.
  • RWE/HEOR Data Analysis Analysis that helps you make sense of your RWE/HEOR data
  • RWE/HEOR/Market Access Safety Surveillance Monitor safety of treatment and determine methods to identify adverse events early
  • Secondary Real World Evidence Analyze clinical trial data.

Regulatory Affairs

  • Life Cycle Management Plan and strategy of the data collection and information throughout the different phases of product development (portfolio assessment, pre-clinical trials, clinical trials, pre-authorization, post-authorization, and RWE)
  • Post Authorization Efficacy Study (PAES) Answer uncertainties in efficacy of treatment, and improve understanding of treatment and the benefit-risk profile. These studies are specifically asked for by European Medicines Agency (EMA) to continually grant...
  • Post Authorization Safety Study (PASS) Evaluate the safety, benefit-risk profile, and risk management of a treatment. These studies are specifically asked for by European Medicines Agency (EMA) and they can be mandatory or voluntary.
  • Post-authorization Safety Studies Research efforts conducted after a drug has been approved for market to monitor its safety profile in the general population. These studies aim to identify, characterize, or quantify potential adverse effects...
  • Risk Benefit Assessment Determine ratio of treatment risk to the potential benefits.
  • Risk Evaluation & Mitigation Strategy (REMS) Evidence required by FDA to support the benefit of treatment outweighs the risks. Purpose of REMS is to prevent, monitor, and manage serious risk by informing, educating, and reinforcing actions to reduce frequency...

Scientific Data Services

  • Bioinformatics Bioinformatics is a powerful method of storing, retrieving and analyzing biological data.
  • Cloud Computing Request on-demand computer resources specifically relating to large data storage and computing power.
  • Foundation Model A foundation model is a large-scale AI model trained on extensive datasets, designed to be adaptable for a variety of specific tasks.
  • Large Language Models Use of Large Language models in target discovery, clinical trial design and development, analysis of clinical trial data and regulatory submissions. Services are tailored to the problem, specific context of biopharma.
  • Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
  • Software Tools Software tool for statistical analysis, data mining, genome annotation or NGS data analysis.

Source: Scientist.com supplier network

Where it operates

Sites by country, with the cities in each.

  • United States Phoenix 1 site

Source: Scientist.com supplier network (site locations)

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Sources: Scientist.com supplier network.

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