{"id":54087,"date":"2026-01-30T07:29:47","date_gmt":"2026-01-30T13:29:47","guid":{"rendered":"https:\/\/heartbeat.ai\/healthcare\/?p=54087"},"modified":"2026-02-27T13:36:00","modified_gmt":"2026-02-27T19:36:00","slug":"data-quality-verification","status":"publish","type":"post","link":"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/","title":{"rendered":"Healthcare contact data accuracy: verification workflow + vendor scorecard"},"content":{"rendered":"<p><img decoding=\"async\" loading=\"false\" class=\"aligncenter\" src=\"http:\/\/hc.heartbeat.ai\/wp-content\/webp-express\/webp-images\/uploads\/2026\/01\/data-quality-verification-ef75bfd2.png.webp\" alt=\"54086\" \/><\/p>\n<h1>Healthcare contact data accuracy: verification workflow + vendor scorecard<\/h1>\n<p><strong>Ben Argeband, Founder &amp; CEO of Heartbeat.ai<\/strong> \u2014 Buyer survival guide; measurable scorecard; no hype.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\r\n<div class=\"ez-toc-title-container\">\r\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">What\u2019s on this page:<\/p>\r\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\r\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Who_this_is_for\" >Who this is for<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Quick_Answer\" >Quick Answer<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Framework_The_%E2%80%9CTrust_But_Verify%E2%80%9D_Model_Evidence_%E2%86%92_Recency_%E2%86%92_Outcomes\" >Framework: The \u201cTrust But Verify\u201d Model: Evidence \u2192 Recency \u2192 Outcomes<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Step-by-step_method\" >Step-by-step method<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Step_1_Stop_treating_%E2%80%9Caccuracy%E2%80%9D_as_one_number\" >Step 1: Stop treating \u201caccuracy\u201d as one number<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Step_2_Verify_before_outreach_pre-flight_then_suppress\" >Step 2: Verify before outreach (pre-flight), then suppress<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Step_3_Decide_what_youre_optimizing_for_coverage_vs_efficiency\" >Step 3: Decide what you\u2019re optimizing for (coverage vs. efficiency)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Step_4_Instrument_outcomes_so_%E2%80%9Caccuracy%E2%80%9D_becomes_auditable\" >Step 4: Instrument outcomes so \u201caccuracy\u201d becomes auditable<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Trial_setup_what_to_require_in_the_export\" >Trial setup (what to require in the export)<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Diagnostic_Table\" >Diagnostic Table:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Weighted_Checklist\" >Weighted Checklist:<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Questions_to_ask_vendors_copypaste\" >Questions to ask vendors (copy\/paste)<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Outreach_Templates\" >Outreach Templates:<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Template_1_Verified_email_first_touch\" >Template 1: Verified email (first touch)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Template_2_Verified_mobile_call_voicemail\" >Template 2: Verified mobile (call + voicemail)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Template_3_Clinic_line_no_direct_dial\" >Template 3: Clinic line (no direct dial)<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Common_pitfalls\" >Common pitfalls<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#How_to_improve_results\" >How to improve results<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#1_Build_a_weekly_verification_suppression_pre-flight\" >1) Build a weekly verification + suppression pre-flight<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#2_Set_up_a_simple_reporting_template_so_you_can_enforce_quality\" >2) Set up a simple reporting template (so you can enforce quality)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#3_Run_a_clean_vendor_trial_without_inventing_conclusions\" >3) Run a clean vendor trial without inventing conclusions<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Legal_and_ethical_use\" >Legal and ethical use<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Evidence_and_trust_notes\" >Evidence and trust notes<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#FAQs\" >FAQs<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-25\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#How_do_I_validate_healthcare_contact_data_accuracy_in_my_own_workflow\" >How do I validate healthcare contact data accuracy in my own workflow?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-26\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Why_do_I_get_connected_calls_but_few_human_answers\" >Why do I get connected calls but few human answers?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-27\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#What_should_I_demand_from_a_data_vendor_during_a_trial\" >What should I demand from a data vendor during a trial?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-28\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Is_email_deliverability_the_same_as_accuracy\" >Is email deliverability the same as accuracy?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-29\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Can_I_just_buy_a_static_list_and_move_faster\" >Can I just buy a static list and move faster?<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-30\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#Next_steps\" >Next steps<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-31\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/#About_the_Author\" >About the Author<\/a><\/li><\/ul><\/nav><\/div>\r\n<h2><span class=\"ez-toc-section\" id=\"Who_this_is_for\"><\/span>Who this is for<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>If you\u2019re a recruiter evaluating vendors and tired of dead numbers, this hub is for you. I\u2019m writing this from the operator seat: you\u2019re trying to move reqs, protect recruiter time, and avoid paying twice (once for data, again in wasted outreach).<\/p>\n<p>This page is the anchor for <strong>healthcare contact data accuracy<\/strong> across phone and email: what to verify, what to measure, and how to hold a vendor accountable with a scorecard tied to outcomes.<\/p>\n<ul>\n<li>Quick Answer<\/li>\n<li>Framework: Trust But Verify<\/li>\n<li>Step-by-step method<\/li>\n<li>Diagnostic Table (what\u2019s actually broken)<\/li>\n<li>Vendor Scorecard (how to compare vendors)<\/li>\n<li>Outreach Templates (after verification)<\/li>\n<li>Legal and ethical use<\/li>\n<li>Evidence and trust notes<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Quick_Answer\"><\/span>Quick Answer<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<dl>\n<dt>Core Answer<\/dt>\n<dd>Healthcare contact data accuracy is proven by verifying phone and email records, then tracking deliverability, connect, and answer outcomes by source and recency\u2014not by a single vendor percentage.<\/dd>\n<dt>Key Statistic<\/dt>\n<dd><strong>Heartbeat observed typicals<\/strong>: Heartbeat internal: mobile accuracy 82% (first mobile); email accuracy 95%; connect rate ~10% typical. (Accuracy here means correct-to-person at time of use in internal QA samples; not a guarantee.)<\/dd>\n<dt>Best For<\/dt>\n<dd>Recruiters evaluating vendors and tired of dead numbers.<\/dd>\n<\/dl>\n<blockquote>\n<p><strong>Compliance &amp; Safety<\/strong><\/p>\n<p>This method is for legitimate recruiting outreach only. Always respect candidate privacy, opt-out requests, and local data laws. Heartbeat does not provide medical advice or legal counsel.<\/p>\n<\/blockquote>\n<h2><span class=\"ez-toc-section\" id=\"Framework_The_%E2%80%9CTrust_But_Verify%E2%80%9D_Model_Evidence_%E2%86%92_Recency_%E2%86%92_Outcomes\"><\/span>Framework: The \u201cTrust But Verify\u201d Model: Evidence \u2192 Recency \u2192 Outcomes<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>In healthcare recruiting, \u201caccurate\u201d is meaningless unless you can answer three questions:<\/p>\n<ul>\n<li><strong>Evidence<\/strong>: What proof links this phone\/email to the specific clinician or decision-maker you\u2019re targeting?<\/li>\n<li><strong>Recency<\/strong>: When was it last verified? Old data is the fastest way to burn call blocks and email reputation.<\/li>\n<li><strong>Outcomes<\/strong>: Does it produce delivered emails, connected calls, and human answers in your workflow?<\/li>\n<\/ul>\n<p>Use this model to evaluate any source: vendor exports, enrichment, your ATS\/CRM, or lists you inherited.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Step-by-step_method\"><\/span>Step-by-step method<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Step_1_Stop_treating_%E2%80%9Caccuracy%E2%80%9D_as_one_number\"><\/span>Step 1: Stop treating \u201caccuracy\u201d as one number<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Accuracy isn\u2019t one number; channel metrics differ. A dataset can look \u201cgood\u201d on email but fail on phone, or vice versa. If you don\u2019t split the channels, you can\u2019t fix the bottleneck.<\/p>\n<p>Standardize these definitions across your team and vendors:<\/p>\n<ul>\n<li><strong>Contact data accuracy<\/strong>: the share of records where the contact point (email or phone) correctly belongs to the intended person <em>at the time you use it<\/em>.<\/li>\n<li><strong>Deliverability Rate<\/strong> = delivered emails \/ sent emails (per 100 sent emails).<\/li>\n<li><strong>Bounce Rate<\/strong> = bounced emails \/ sent emails (per 100 sent emails).<\/li>\n<li><strong>Reply Rate<\/strong> = replies \/ delivered emails (per 100 delivered emails).<\/li>\n<li><strong>Connect Rate<\/strong> = connected calls \/ total dials (per 100 dials).<\/li>\n<li><strong>Answer Rate<\/strong> = human answers \/ connected calls (per 100 connected calls).<\/li>\n<\/ul>\n<p>Here\u2019s the fast comparison recruiters should use when a vendor throws around \u201caccuracy\u201d:<\/p>\n<div class=\"table-scroll\" style=\"overflow:auto;-webkit-overflow-scrolling:touch;width:100%\">\n<table class=\"separated-content\">\n<thead>\n<tr>\n<th>Term<\/th>\n<th>What it means (operationally)<\/th>\n<th>What it does <em>not<\/em> mean<\/th>\n<th>Where it shows up<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Accuracy<\/strong><\/td>\n<td>Correct-to-person contact point at time of use<\/td>\n<td>Not the same as delivered email or connected call<\/td>\n<td>QA samples, recruiter feedback loops, downstream outcomes<\/td>\n<\/tr>\n<tr>\n<td><strong>Deliverability<\/strong><\/td>\n<td>Inbox acceptance: delivered emails \/ sent emails<\/td>\n<td>Doesn\u2019t prove it\u2019s the right person<\/td>\n<td>Email platform logs, Postmaster signals<\/td>\n<\/tr>\n<tr>\n<td><strong>Connect<\/strong><\/td>\n<td>Call connection: connected calls \/ total dials<\/td>\n<td>Doesn\u2019t mean a human answered<\/td>\n<td>Dialer logs, carrier outcomes<\/td>\n<\/tr>\n<tr>\n<td><strong>Answer<\/strong><\/td>\n<td>Human pickup: human answers \/ connected calls<\/td>\n<td>Doesn\u2019t guarantee interest or fit<\/td>\n<td>Call dispositions, recruiter notes<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>If you want the nuance between phone outcomes, use: <a href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/connect-rate-vs-answer-rate\/\">connect rate vs. answer rate (recruiting calls)<\/a>.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Step_2_Verify_before_outreach_pre-flight_then_suppress\"><\/span>Step 2: Verify before outreach (pre-flight), then suppress<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Two field truths that show up in every recruiting org:<\/p>\n<ul>\n<li><strong>Line testing reduces dead dials<\/strong>: you learn whether a number rings, is disconnected, or routes in a way that can\u2019t reach the person.<\/li>\n<li><strong>Verification reduces bounces<\/strong>: you remove obvious invalid emails before you send, which protects deliverability and saves recruiter time.<\/li>\n<\/ul>\n<p>Build a pre-flight step that runs before sequences and dialer blocks:<\/p>\n<ol>\n<li>Pull your target segment (from ATS\/CRM or a vendor export).<\/li>\n<li>Normalize identity fields (name, specialty, facility, location; add NPI if you use it internally).<\/li>\n<li>Run <strong>email verification<\/strong> and suppress invalid\/risky addresses.<\/li>\n<li>Run <strong>phone validation<\/strong> plus line testing and suppress disconnected\/non-working lines.<\/li>\n<li>Launch outreach and tag outcomes by source and last-verified recency.<\/li>\n<\/ol>\n<p>If you\u2019re trialing Heartbeat.ai, you can <a href=\"https:\/\/heartbeat.ai\/signup\">start free search &amp; preview data<\/a> and run this pre-flight on a real req segment before you commit.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Step_3_Decide_what_youre_optimizing_for_coverage_vs_efficiency\"><\/span>Step 3: Decide what you\u2019re optimizing for (coverage vs. efficiency)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Recruiting teams usually want maximum reach and maximum efficiency at the same time. <strong>The trade-off is\u2026<\/strong> broader coverage tends to include more stale or indirect contact points, while tighter verification reduces volume but improves outcomes.<\/p>\n<p>Make the choice per campaign:<\/p>\n<ul>\n<li><strong>Hard-to-fill roles<\/strong>: prioritize phone validation and line testing so recruiters aren\u2019t burning prime call windows on dead lines.<\/li>\n<li><strong>High-volume email<\/strong>: prioritize email verification and deliverability hygiene to protect sending reputation.<\/li>\n<li><strong>Practice owners \/ decision-makers<\/strong>: prioritize person-level evidence and suppression so you don\u2019t create repeat outreach to the wrong person.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"Step_4_Instrument_outcomes_so_%E2%80%9Caccuracy%E2%80%9D_becomes_auditable\"><\/span>Step 4: Instrument outcomes so \u201caccuracy\u201d becomes auditable<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Vendors will sell you a story. Your workflow metrics are the audit trail. Track outcomes by (1) source, (2) segment, and (3) recency label.<\/p>\n<ul>\n<li>Email: Deliverability Rate, Bounce Rate, Reply Rate.<\/li>\n<li>Phone: Connect Rate, Answer Rate.<\/li>\n<li>Business: screens booked, submittals, and hires (using your own internal denominators).<\/li>\n<\/ul>\n<p>For teams that need speed, Heartbeat.ai can prioritize calling order with <strong>ranked mobile numbers by answer probability<\/strong> so your first call block isn\u2019t wasted on low-likelihood lines.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Trial_setup_what_to_require_in_the_export\"><\/span>Trial setup (what to require in the export)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><strong>Record ID<\/strong>: stable unique ID per person so you can de-dupe and track outcomes.<\/li>\n<li><strong>Last-verified timestamp<\/strong>: record-level for phone and email (separate fields if possible).<\/li>\n<li><strong>Verification outputs<\/strong>: email status\/risk flags; phone type\/working status; line testing result if available.<\/li>\n<li><strong>Suppression fields<\/strong>: opt-out flag and suppression reason (bounce, disconnected, do-not-contact).<\/li>\n<li><strong>Source tags<\/strong>: vendor\/source name and any confidence tier so you can segment reporting.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Diagnostic_Table\"><\/span>Diagnostic Table:<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Use this to diagnose where your \u201caccuracy\u201d problem actually lives. Most teams blame the vendor when the real issue is channel mismatch or missing suppression.<\/p>\n<div class=\"table-scroll\" style=\"overflow:auto;-webkit-overflow-scrolling:touch;width:100%\">\n<table class=\"separated-content\">\n<thead>\n<tr>\n<th>Symptom<\/th>\n<th>What it usually means<\/th>\n<th>What to measure (with denominator)<\/th>\n<th>Next action<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>High bounces<\/td>\n<td>Invalid\/stale emails or weak verification<\/td>\n<td><strong>Bounce Rate<\/strong> = bounced \/ sent (per 100 sent emails)<\/td>\n<td>Run email verification; suppress risky; refresh high-value segments<\/td>\n<\/tr>\n<tr>\n<td>Delivered emails, low replies<\/td>\n<td>Wrong person, wrong inbox type, or weak targeting<\/td>\n<td><strong>Reply Rate<\/strong> = replies \/ delivered (per 100 delivered emails)<\/td>\n<td>Improve person-level evidence; tighten segment; adjust message<\/td>\n<\/tr>\n<tr>\n<td>Low connect rate<\/td>\n<td>Disconnected\/non-working lines or non-dialable types<\/td>\n<td><strong>Connect Rate<\/strong> = connected calls \/ total dials (per 100 dials)<\/td>\n<td>Phone validation + line testing; suppress dead lines<\/td>\n<\/tr>\n<tr>\n<td>Connects, low answer rate<\/td>\n<td>Voicemail, gatekeepers, bad call windows<\/td>\n<td><strong>Answer Rate<\/strong> = human answers \/ connected calls (per 100 connected calls)<\/td>\n<td>Test call windows; prioritize mobile; adjust cadence<\/td>\n<\/tr>\n<tr>\n<td>Good phone\/email outcomes, weak submittals<\/td>\n<td>Offer mismatch or wrong target profile<\/td>\n<td>Submittals per internal denominator (define: per 100 conversations or per 100 replies)<\/td>\n<td>Re-cut the segment; tighten must-haves; update pitch<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>Channel playbooks: <a href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/email-verification-for-healthcare-recruiting\/\">email verification for healthcare recruiting<\/a> and <a href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/phone-validation-for-provider-direct-dials\/\">phone validation for provider direct dials<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Weighted_Checklist\"><\/span>Weighted Checklist:<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>This is the vendor scorecard (uniqueness hook: <strong>VENDOR_SCORECARD<\/strong>). Score each line item 0\u20132, multiply by weight, and compare vendors on what impacts recruiter throughput.<\/p>\n<div class=\"table-scroll\" style=\"overflow:auto;-webkit-overflow-scrolling:touch;width:100%\">\n<table class=\"separated-content\">\n<thead>\n<tr>\n<th>Category<\/th>\n<th>0\u20132 scoring rubric<\/th>\n<th>What evidence to request (artifact)<\/th>\n<th>Weight<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Evidence (person match)<\/td>\n<td>0 = unclear match logic; 1 = partial; 2 = documented match + examples<\/td>\n<td>Sample export showing person identifiers and match confidence notes<\/td>\n<td>20<\/td>\n<\/tr>\n<tr>\n<td>Recency labeling<\/td>\n<td>0 = no timestamps; 1 = coarse; 2 = record-level last-verified timestamp<\/td>\n<td>Export column for last-verified date\/time + refresh policy doc<\/td>\n<td>15<\/td>\n<\/tr>\n<tr>\n<td>Phone validation + line testing<\/td>\n<td>0 = claims only; 1 = validation without testing; 2 = validation + line testing + suppression<\/td>\n<td>Definition of \u201cworking\u201d + sample suppression output for disconnected\/non-working<\/td>\n<td>15<\/td>\n<\/tr>\n<tr>\n<td>Email verification<\/td>\n<td>0 = none; 1 = basic; 2 = verification + risk flags + suppression rules<\/td>\n<td>Verification fields (status\/risk) + suppression logic description<\/td>\n<td>15<\/td>\n<\/tr>\n<tr>\n<td>Suppression &amp; opt-out handling<\/td>\n<td>0 = manual only; 1 = partial; 2 = automated suppression across exports<\/td>\n<td>Opt-out workflow description + suppression list export format<\/td>\n<td>10<\/td>\n<\/tr>\n<tr>\n<td>Outcome reporting<\/td>\n<td>0 = none; 1 = aggregate; 2 = outcomes by source + segment + recency<\/td>\n<td>Example report with denominators for deliverability\/connect\/answer<\/td>\n<td>10<\/td>\n<\/tr>\n<tr>\n<td>Workflow fit<\/td>\n<td>0 = messy exports; 1 = workable; 2 = clean fields + stable IDs + integrations<\/td>\n<td>Field dictionary + sample CSV + change log policy<\/td>\n<td>10<\/td>\n<\/tr>\n<tr>\n<td>Trust documentation<\/td>\n<td>0 = marketing only; 1 = partial; 2 = documented methodology + audit trail<\/td>\n<td>Methodology page + QA process + escalation path<\/td>\n<td>5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h3><span class=\"ez-toc-section\" id=\"Questions_to_ask_vendors_copypaste\"><\/span>Questions to ask vendors (copy\/paste)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>Show me a sample export with <strong>record-level last-verified timestamps<\/strong> for both phone and email.<\/li>\n<li>What does <strong>phone validation<\/strong> mean in your system (number type, working status, carrier signals)? What does line testing include?<\/li>\n<li>What does <strong>email verification<\/strong> output (status, risk flags), and what gets suppressed automatically?<\/li>\n<li>How do you handle <strong>consent<\/strong> signals and <strong>opt-out<\/strong> requests? Can you export a suppression list I can apply in my ATS\/CRM and sequencer?<\/li>\n<li>Can you report Deliverability Rate, Bounce Rate, Connect Rate, and Answer Rate <em>by source and recency<\/em> with denominators?<\/li>\n<li>What is your process when a recruiter flags a bad record? How fast does it get corrected and suppressed?<\/li>\n<\/ul>\n<p>For Heartbeat.ai specifics, see <a href=\"https:\/\/heartbeat.ai\/our-data\">how our data is built and maintained<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Outreach_Templates\"><\/span>Outreach Templates:<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>These templates assume you\u2019ve already verified and suppressed. They are designed for healthcare recruiting: short, respectful, and easy to opt out.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Template_1_Verified_email_first_touch\"><\/span>Template 1: Verified email (first touch)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>Subject:<\/strong> {Role} in {City} \u2014 quick question<\/p>\n<p><strong>Body:<\/strong> Hi {FirstName} \u2014 I\u2019m recruiting for a {Role} opening with {Facility\/Group} in {City}. If you\u2019re open to a 5-minute call, what\u2019s the best time? If not, reply \u201cno\u201d and I\u2019ll close the loop. \u2014 {YourName}<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Template_2_Verified_mobile_call_voicemail\"><\/span>Template 2: Verified mobile (call + voicemail)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>Call opener:<\/strong> \u201cHi {FirstName}, this is {YourName}. I\u2019m calling about a {Role} opportunity in {City}. Is now a bad time?\u201d<\/p>\n<p><strong>Voicemail:<\/strong> \u201c{FirstName}, {YourName}. I\u2019m recruiting for a {Role} role in {City}. If you\u2019re open to details, call\/text me at {Callback}. If not interested, reply \u2018stop\u2019 and I won\u2019t follow up.\u201d<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Template_3_Clinic_line_no_direct_dial\"><\/span>Template 3: Clinic line (no direct dial)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>Script:<\/strong> \u201cHi \u2014 I\u2019m trying to reach Dr. {LastName} regarding a professional opportunity. What\u2019s the best way to send a short message for review?\u201d<\/p>\n<p>If you want to test this end-to-end, you can <a href=\"https:\/\/heartbeat.ai\/signup\">start free search &amp; preview data<\/a> and run a pilot on one specialty segment.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Common_pitfalls\"><\/span>Common pitfalls<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>Letting a vendor define \u201caccurate\u201d for you<\/strong>. If they can\u2019t show evidence, recency labels, and outcomes, you\u2019re buying a story.<\/li>\n<li><strong>Confusing deliverability with correctness<\/strong>. A delivered email can still be the wrong person. Track Reply Rate and downstream screens.<\/li>\n<li><strong>Not separating connect from answer<\/strong>. If you don\u2019t split them, you won\u2019t know whether to fix data, call windows, or gatekeeper routing.<\/li>\n<li><strong>Skipping suppression<\/strong>. If you don\u2019t suppress bounces, disconnected lines, and opt-outs, you\u2019ll repeat the same mistakes at scale.<\/li>\n<li><strong>Over-rotating on volume<\/strong>. More records doesn\u2019t mean more conversations if verification is weak.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"How_to_improve_results\"><\/span>How to improve results<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"1_Build_a_weekly_verification_suppression_pre-flight\"><\/span>1) Build a weekly verification + suppression pre-flight<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>Verify new records before they enter sequences or dialers.<\/li>\n<li>Suppress known bad: bounces, disconnected\/non-working lines, explicit opt-outs.<\/li>\n<li>Refresh high-value segments more often than low-value segments.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"2_Set_up_a_simple_reporting_template_so_you_can_enforce_quality\"><\/span>2) Set up a simple reporting template (so you can enforce quality)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>Measure this by\u2026<\/strong> reviewing these columns weekly by vendor\/source and by last-verified recency label:<\/p>\n<ul>\n<li>Sent emails, delivered emails, bounced emails<\/li>\n<li><strong>Deliverability Rate<\/strong> = delivered \/ sent (per 100 sent emails)<\/li>\n<li><strong>Bounce Rate<\/strong> = bounced \/ sent (per 100 sent emails)<\/li>\n<li>Delivered emails, replies<\/li>\n<li><strong>Reply Rate<\/strong> = replies \/ delivered (per 100 delivered emails)<\/li>\n<li>Total dials, connected calls<\/li>\n<li><strong>Connect Rate<\/strong> = connected \/ total dials (per 100 dials)<\/li>\n<li>Connected calls, human answers<\/li>\n<li><strong>Answer Rate<\/strong> = human answers \/ connected (per 100 connected calls)<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"3_Run_a_clean_vendor_trial_without_inventing_conclusions\"><\/span>3) Run a clean vendor trial without inventing conclusions<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>Use the same segment (same specialty, geography, seniority) across vendors.<\/li>\n<li>Use the same outreach cadence and call windows.<\/li>\n<li>Compare outcomes and recruiter time saved, not marketing claims.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Legal_and_ethical_use\"><\/span>Legal and ethical use<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>This is for legitimate recruiting outreach only. Build your process around <strong>consent<\/strong>, clear identification, and fast <strong>opt-out<\/strong> handling. Don\u2019t treat compliance as a footer\u2014treat it as a workflow requirement.<\/p>\n<ul>\n<li><strong>Calling\/texting<\/strong>: understand the basics of the Telephone Consumer Protection Act (TCPA) and apply conservative outreach practices. No one can promise \u201cTCPA guaranteed.\u201d<\/li>\n<li><strong>Email<\/strong>: follow CAN-SPAM requirements, including unsubscribe handling and accurate identification.<\/li>\n<li><strong>Data handling<\/strong>: minimize what you store, restrict access, and honor suppression across tools.<\/li>\n<\/ul>\n<p>References: <a href=\"https:\/\/www.fcc.gov\/general\/telephone-consumer-protection-act-1991-tcpa\">FCC TCPA overview<\/a> and <a href=\"https:\/\/www.ftc.gov\/business-guidance\/resources\/can-spam-act-compliance-guide-business\">FTC CAN-SPAM compliance guide<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Evidence_and_trust_notes\"><\/span>Evidence and trust notes<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>When you\u2019re buying or auditing data quality, you need a repeatable trust method, not a one-time demo. Start here: <a href=\"http:\/\/heartbeat.ai\/resources\/trust-methodology\/\">Heartbeat trust methodology<\/a>.<\/p>\n<p>For email deliverability monitoring and best practices, use official sources:<\/p>\n<ul>\n<li><a href=\"https:\/\/postmaster.google.com\/\">Google Postmaster Tools<\/a> (deliverability monitoring)<\/li>\n<li><a href=\"https:\/\/support.google.com\/a\/answer\/81126?hl=en\">Google Workspace email best practices<\/a><\/li>\n<\/ul>\n<p>Claim hygiene: avoid any vendor promising an accuracy guarantee across all channels and time windows. Also avoid vague claims like \u201cHIPAA compliant database\u201d unless it\u2019s clearly defined and reviewed by counsel.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"FAQs\"><\/span>FAQs<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"How_do_I_validate_healthcare_contact_data_accuracy_in_my_own_workflow\"><\/span>How do I validate healthcare contact data accuracy in my own workflow?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Verify phone and email before outreach, suppress known bad records, then track Deliverability Rate (delivered\/sent), Bounce Rate (bounced\/sent), Connect Rate (connected\/total dials), and Answer Rate (human answers\/connected) by source and recency.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Why_do_I_get_connected_calls_but_few_human_answers\"><\/span>Why do I get connected calls but few human answers?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>That\u2019s usually call-window or routing friction (voicemail, gatekeepers), not just bad numbers. Separate Connect Rate from Answer Rate and test time-of-day and mobile prioritization.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"What_should_I_demand_from_a_data_vendor_during_a_trial\"><\/span>What should I demand from a data vendor during a trial?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Record-level last-verified timestamps, clear verification outputs for email and phone, suppression\/opt-out handling you can apply across tools, and outcome reporting with denominators by source and recency.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Is_email_deliverability_the_same_as_accuracy\"><\/span>Is email deliverability the same as accuracy?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>No. Deliverability only means the email was delivered. Accuracy is whether it belongs to the intended person. Track Reply Rate (replies\/delivered) and downstream screens to audit person-level correctness.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Can_I_just_buy_a_static_list_and_move_faster\"><\/span>Can I just buy a static list and move faster?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Buying static lists is risky because of decay. The modern standard is Access + Refresh + Verification + Suppression, so your recruiters aren\u2019t spending time on stale records.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Next_steps\"><\/span>Next steps<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li>Pick one specialty segment and run the pre-flight (verification + suppression) before outreach.<\/li>\n<li>Use the vendor scorecard to compare sources on evidence, recency, and outcomes.<\/li>\n<li>If you want to test Heartbeat.ai, <a href=\"https:\/\/heartbeat.ai\/signup\">start free search &amp; preview data<\/a> and measure results in your own workflow.<\/li>\n<\/ul>\n<p>Optional reading: <a href=\"https:\/\/heartbeat.ai\/our-data\">how Heartbeat.ai builds and maintains data quality<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"About_the_Author\"><\/span><b>About the Author<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"http:\/\/heartbeat.ai\/resources\/author\/ben-argeband\"><span style=\"font-weight: 400;\">Ben Argeband<\/span><\/a><span style=\"font-weight: 400;\"> is the Founder and CEO of Swordfish.ai and Heartbeat.ai. With deep expertise in data and SaaS, he has built two successful platforms trusted by over 50,000 sales and recruitment professionals. Ben&#8217;s mission is to help teams find direct contact information for hard-to-reach professionals and decision-makers, providing the shortest route to their next win. Connect with Ben on <\/span><a href=\"https:\/\/www.linkedin.com\/in\/ben-m-argeband-2427a8a3\/\"><span style=\"font-weight: 400;\">LinkedIn<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"Article\",\"about\":[\"data quality\",\"deliverability\",\"connect rate\",\"answer rate\",\"consent\",\"opt-out\"],\"author\":{\"@type\":\"Person\",\"jobTitle\":\"Founder & CEO of Heartbeat.ai\",\"name\":\"Ben Argeband\"},\"headline\":\"Healthcare contact data accuracy: verification workflow + vendor scorecard\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/heartbeat.ai\/resources\/data-quality-verification\/\",\"@type\":\"WebPage\"},\"publisher\":{\"@type\":\"Organization\",\"name\":\"Heartbeat.ai\"}}<\/script><br \/>\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Verify phone and email before outreach, suppress known bad records, then track Deliverability Rate (delivered\/sent), Bounce Rate (bounced\/sent), Connect Rate (connected\/total dials), and Answer Rate (human answers\/connected) by source and recency.\"},\"name\":\"How do I validate healthcare contact data accuracy in my own workflow?\"},{\"@type\":\"Question\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"That\u2019s usually call-window or routing friction (voicemail, gatekeepers), not just bad numbers. 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The modern standard is Access + Refresh + Verification + Suppression, so your recruiters aren\u2019t spending time on stale records.\"},\"name\":\"Can I just buy a static list and move faster?\"}]}<\/script><\/p>","protected":false},"excerpt":{"rendered":"<p>A recruiter-first hub for healthcare contact data accuracy: verify phone and email before outreach, define deliverability\/connect\/answer metrics correctly, and score vendors with an auditable checklist.<\/p>","protected":false},"author":5,"featured_media":54086,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"healthcare contact data accuracy","_yoast_wpseo_title":"Healthcare contact data accuracy: verify data + score vendors","_yoast_wpseo_metadesc":"Recruiter-first workflow for healthcare contact data accuracy: phone validation, email verification, suppression, and a vendor scorecard tied to deliverability, connect rate, and answer rate.","_custom_permalink":"data-quality-verification","footnotes":""},"categories":[1],"tags":[],"class_list":["post-54087","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\r\n<title>Healthcare contact data accuracy: verify data + score vendors<\/title>\r\n<meta name=\"description\" content=\"Recruiter-first workflow for healthcare contact data accuracy: phone validation, email verification, suppression, and a vendor scorecard tied to deliverability, connect rate, and answer rate.\" \/>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/\" \/>\r\n<meta property=\"og:locale\" content=\"en_US\" \/>\r\n<meta property=\"og:type\" 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