Collect and structure eligible drug, clinical trial, provider, facility, regulatory, medical device, pharmacy, and research information with source provenance, observation time, and validation context.
A useful dataset must do more than capture text. It must preserve identities, codes, units, dates, versions, source links, and the difference between observed facts and derived outputs.
Coverage is scoped to eligible public, licensed, or client-authorized sources and the fields required for the intended workflow.
Compare eligible public medicine listings, price observations, package information, and availability status.
Track public study registries across phases, sponsors, conditions, interventions, sites, and status changes.
Structure public approvals, labels, recalls, safety communications, submissions, and regulatory notices.
Normalize eligible public provider profiles, specialties, affiliations, locations, and directory attributes.
Connect public facility profiles, services, departments, locations, accreditation fields, and quality measures.
Monitor public device listings, classifications, manufacturers, clearances, recalls, and safety records.
Observe eligible public pharmacy catalogs, medicine availability, formulary placement, and coverage information.
Collect public recall notices, safety communications, label changes, and adverse-event reporting metadata.
Structure eligible publication metadata, abstracts, authors, affiliations, topics, citations, and linked studies.
Connect public patent, exclusivity, product, applicant, filing, and expiry information for research.
Analyze eligible public reviews of products, providers, facilities, and services with derived fields clearly labeled.
Connect public pipeline, launch, indication, company, product, and competitive-market observations.
Kvetoiq scopes projects around eligible public, licensed, or customer-authorized sources. We do not intentionally collect protected health information from patient portals, private electronic health records, or restricted clinical systems.
Version-aware records help research teams see when enrollment, status, eligibility, sites, sponsors, outcomes, or documents changed.
| Record type | Healthcare example | Required context | Status label |
|---|---|---|---|
| Source field | Trial status published by a registry | Registry, study ID, source value, date | SOURCE FIELD |
| Normalized field | Medicine strength mapped to common units | Original value, unit, conversion, mapping | NORMALIZED |
| Matched entity | Provider, drug, facility, or sponsor identity | Match keys, aliases, source records, rule | MATCHED |
| AI classification | Therapeutic area or review topic | Model or rule, confidence, source, version | AI-DERIVED |
| Human-reviewed output | Validated exception or edge-case match | Review status, notes, date, process | REVIEWED |
Compare eligible public medicine prices, packages, discounts, and availability across selected pharmacy and retail sources.
Track study status, phases, enrollment, sponsors, sites, eligibility, outcomes, and registry updates.
Connect public company pipelines, candidates, indications, therapeutic areas, milestones, and launch events.
Normalize eligible public provider specialties, affiliations, practices, locations, and directory changes.
Compare public facility services, departments, locations, accreditation fields, and quality indicators.
Monitor public device classifications, clearances, manufacturers, recalls, safety notices, and product changes.
Organize official recall, safety communication, label-change, and adverse-event metadata for human review.
Track eligible public formulary placement, coverage conditions, tier changes, and product relationships.
Connect public patent, exclusivity, filing, expiry, applicant, product, and indication information.
Classify eligible public review topics and sentiment while preserving source links and derived-field labels.
Prepare source-linked, task-specific data for entity extraction, classification, retrieval, matching, and evaluation.
Track official approvals, notices, recalls, label versions, guidance, deadlines, and status changes.
Timestamped versions support auditability and trend research without silently overwriting previous observations.
Availability and permitted use vary by source, geography, access method, authentication, license, and requested fields.
Confirm business question, users, sources, fields, and intended decisions.
Review public, API, licensed, authorized, authenticated, and restricted conditions.
Map products, studies, providers, facilities, documents, codes, and versions.
Collect, normalize, preserve source lineage, and label derived outputs.
Confirm fields, identities, exceptions, validation rules, and delivery format.
Refresh records, detect source changes, manage exceptions, and retain logs.
Retain publisher, authority, record ID, URL, access time, and source class.
Connect drugs, products, trials, sponsors, providers, facilities, and aliases.
Map eligible identifiers, taxonomies, therapeutic areas, and controlled terms.
Validate strength, dosage form, package, quantity, currency, and measurement units.
Preserve previous and current studies, labels, records, pages, and observations.
Mark matches, classifications, sentiment, summaries, and confidence separately.
Detect layout changes, unexpected gaps, vocabulary shifts, and schema drift.
Retain validation result, exception reason, review state, and notes.
Monitor trial registries, regulatory notices, catalogs, directories, and record changes.
Explore Live Crawler →Assist healthcare document extraction, entity matching, classification, and enrichment.
Explore AI-Powered Scraping →Connect eligible healthcare web records to controlled products and research workflows.
Explore Web Scraping API →Prepare task-specific, source-linked datasets for healthcare AI development and evaluation.
Explore AI Training Data →Kvetoiq evaluates public accessibility, official APIs, bulk options, authentication, licensing, source terms, privacy context, sensitive fields, retention, intended use, and request controls. Healthcare data scraping does not automatically make a complete workflow HIPAA compliant. Customers should obtain qualified legal and compliance advice for their specific use.
Read the Privacy Policy →It is the managed collection and structuring of eligible public, licensed, or authorized healthcare and pharmaceutical information for research, monitoring, analytics, and data-product workflows.
Potential coverage includes drug products and prices, public clinical trials, providers, facilities, regulatory records, medical devices, recalls, publications, patents, formularies, and eligible public reviews.
Eligible public listings can be structured with product identity, brand or generic name, strength, dosage form, package, observed price, currency, availability, source, and timestamp.
Yes. Public registry records can be monitored for changes to status, phase, enrollment, eligibility, sponsors, interventions, locations, outcomes, dates, and linked documents.
Eligible official records can be structured with application or product identifiers, action dates, classifications, affected products, label versions, and source links.
Eligible public directory fields can include names, credentials, specialties, taxonomy, affiliations, locations, services, contact fields, accreditation context, and source status.
Kvetoiq does not intentionally collect protected health information from private patient portals, electronic health records, restricted clinical systems, or other unauthorized sources.
No. Compliance depends on the full workflow, data type, organizations involved, contracts, safeguards, storage, access, and intended use. Public-data collection alone does not establish HIPAA compliance.
Potentially. Access requirements, authorization, authentication, license terms, permitted fields, retention, and delivery controls must be reviewed before implementation.
Records can retain original names and identifiers while applying documented mappings, aliases, code systems, match rules, confidence, and review status.
Eligible public information can include device identity, manufacturer, classification, clearance or approval data, recalls, safety notices, and source-linked changes.
Eligible public reporting metadata may be structured with source and limitations clearly documented. These records are research inputs and should not be treated as verified causation or medical conclusions.
Yes. Projects may support entity extraction, classification, retrieval, matching, summarization, and evaluation using source-linked, task-specific records and defined quality controls.
Matches, summaries, classifications, sentiment, confidence, and other derived outputs can be stored separately from source fields with methodology, model or rule version, and review status.
Validation may cover source authority, identifiers, duplicates, codes, dates, units, values, schema completeness, version changes, expected fields, anomalies, and derived-field labels.
Cadence depends on source publication schedules, access conditions, record volume, requested fields, validation requirements, intended use, and responsible request controls.
Options may include CSV, Excel, JSON, JSONL, Parquet, API, webhook, delta feed, cloud storage, databases, warehouses, and custom integrations.
Yes, when each source is eligible and technically feasible. A shared model can connect products, studies, providers, facilities, organizations, documents, and observed changes.
Records can retain publisher, registry or authority, source identifier, URL, access time, original field, normalized value, extraction method, version, and validation status.
In many cases, a sample can confirm the proposed fields, identity model, source lineage, version handling, validation rules, exceptions, and delivery format before broader implementation.
Share your target sources, products, studies, providers, facilities, fields, refresh requirements, validation rules, and delivery destination. Kvetoiq will help shape a practical collection plan.
Share the platforms, categories, competitors, SKUs, regions, or business questions you care about. KVETOiQ will help define the right data strategy, output format, and operating cadence.
