{"id":33,"date":"2026-11-05T09:13:48","date_gmt":"2026-11-05T09:13:48","guid":{"rendered":"https:\/\/ourdemanddesk.org\/?p=33"},"modified":"2026-11-05T09:13:48","modified_gmt":"2026-11-05T09:13:48","slug":"patient-scheduling-delays-a-30-day-rollout-plan","status":"publish","type":"post","link":"https:\/\/ourdemanddesk.org\/?p=33","title":{"rendered":"Patient Scheduling Delays: A 30-Day Rollout Plan"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">To reduce patient scheduling delays across a multi-site practice, run a 30-day pilot at two sites: measure four numbers in week one, simplify the schedule template in week two, fix reach and reminders in week three, and set up refill and ownership in week four. Scale only if the numbers move. <a href=\"https:\/\/interactly.ai\">Interactly.ai<\/a>, a healthcare automation platform, can take over the call, text and rebooking work in weeks three and four.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Key takeaways<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Pilot at two sites first: one busy site and one quiet site. A pair shows whether a fix works in both settings before you copy it to the rest.<\/li>\n\n\n\n<li>Track four numbers every week: abandoned call rate, third next available appointment, no-show rate and time to refill a cancelled slot.<\/li>\n\n\n\n<li>In one study of open access scheduling, the wait for a third available short visit fell from 21 days to 8 days, then crept back to 11 days over two years. Name an owner for the number in week four.<\/li>\n\n\n\n<li>Each week ends with a go\/no-go gate. If a gate fails, repeat the week; do not move on.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Why run a 30-day pilot instead of a network-wide change?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A network-wide change hides which fix worked. A two-site pilot gives you a before-and-after for each change, and it limits the cost of a mistake.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Published rollouts follow the same logic. Access Community Health Network, a 36-center network near Chicago, rolled out its access program in four waves of 8 to 12 centers, with a quality team at each center. Its average no-show rate fell from 20% to 16%, and its average third next available appointment fell from 10.5 days to 7 days (<a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC6085125\/\">PMC, 2018<\/a>). A health system profiled by Kaufman Hall piloted online scheduling at two clinics, one urban and one rural, before it expanded; no-show rates at both clinics fell to 7% (<a href=\"https:\/\/www.kaufmanhall.com\/sites\/default\/files\/2025-04\/KH-Article_Developing-playbook-provide-patients-timely-access-to-care_0.pdf\">Kaufman Hall, 2025<\/a>). Both results come from the organizations themselves, so treat them as examples and not as guarantees.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Week 1: How do you measure the delay at each site?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Measure four numbers at both pilot sites, and write down the baseline before you change anything.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Number<\/th><th>What it shows<\/th><th>How to collect it<\/th><\/tr><\/thead><tbody><tr><td>Abandoned call rate<\/td><td>Patients who gave up before reaching a person<\/td><td>Phone system report, by site and by hour<\/td><\/tr><tr><td>Third next available appointment (TNAA)<\/td><td>The real wait for a slot<\/td><td>Count calendar days to the third open slot for each provider, at the same time each week<\/td><\/tr><tr><td>No-show rate<\/td><td>Slots lost on the day<\/td><td>Missed visits divided by booked visits<\/td><\/tr><tr><td>Time to refill a cancelled slot<\/td><td>How fast the schedule recovers<\/td><td>Hours from cancellation to a new booking<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Use the third open slot, not the first. Researchers prefer TNAA because the first and second open slots are often chance cancellations that give a false picture of availability (<a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC2587225\/\">PMC, 2008<\/a>). Collect it at a fixed time, such as Monday before opening, so the weekly numbers compare.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For context, MGMA DataDive benchmarks show median no-show rates of 5% to 7% (<a href=\"https:\/\/www.mgma.com\/articles\/better-patient-communication-to-deter-no-show-appointments\">MGMA<\/a>). For abandoned calls, one vendor survey of published sources gives a healthcare average near 7%, with many physician practices at 10% to 20% in peak hours (<a href=\"https:\/\/www.patientprism.com\/blog\/healthcare-call-abandonment-rate\/\">Patient Prism, 2026<\/a>). Patient Prism sells call analytics, so use its figure as a rough guide and compare your own sites with each other first.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Gate 1:<\/strong> all four numbers exist for both sites, and one named person owns each. If you cannot get a number, that gap is your first finding.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Week 2: How do you simplify the schedule template?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Cut visit types and hold back a share of each day. Both changes reduce rework, because staff stop searching for the right slot type.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>List every visit type used at the two sites and merge duplicates. The Chicago network standardized its definitions and capped allowed visit types at 10.<\/li>\n\n\n\n<li>Leave a fixed share of each provider&#8217;s day open for same-day requests. The Chicago network used a modified open access model that did this.<\/li>\n\n\n\n<li>Write down who may book into held slots. In one rural health center project, front-desk staff kept filling same-day slots with routine visits, which erased the benefit (<a href=\"https:\/\/doi.org\/10.5430\/jnep.v6n9p67\">Journal of Nursing Education and Practice, 2016<\/a>).<\/li>\n\n\n\n<li>Clear the backlog of far-out bookings, or the held slots will fill with old demand.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">Set a modest goal. A systematic review of advanced access studies found that all 8 studies measuring TNAA saw it fall, by 1.1 to 32 days, yet only 2 of 8 reached a TNAA under 48 hours (<a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC3154021\/\">PMC, 2011<\/a>). Aim for a lower TNAA than your baseline, not same-day access for everyone.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Gate 2:<\/strong> the new template is live at both sites, and TNAA is no worse than baseline after one full week.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Week 3: How do you fix reach and reminders?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Make sure a patient who wants to book, cancel or move a visit reaches an answer quickly. This is where reminders and call handling meet.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Reminder cadence.<\/strong> MGMA reports that medical groups with falling no-show rates credited automated text, email or call reminders sent at set intervals, such as five, three and one day before the visit (<a href=\"https:\/\/www.mgma.com\/getkaiasset\/ef6e357a-412b-41de-848f-a1b506b4261b\/MGMA-PracticeOperations-DataReport-August2023-FINAL.pdf\">MGMA, 2023<\/a>).<\/li>\n\n\n\n<li><strong>A reschedule path.<\/strong> One MGMA article reports that about 15% of reminders generate a call to the contact center, and patients who cannot get through are highly likely to become no-shows. Put a reschedule link in every reminder, and staff the phones for the remaining calls.<\/li>\n\n\n\n<li><strong>Peak-hour coverage.<\/strong> Use the by-hour call report from week one. Add coverage, or automation, where abandoned calls cluster.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This is the step where automation helps most. Interactly.ai handles patient calls and texts for scheduling, cancelling and rescheduling, and writes the result back to EHRs such as Epic, Cerner, Athena and NextGen. The company reports 20% to 30% fewer no-shows for its customers; that figure is vendor-reported and not independently verified, so set your own target from your week-one baseline.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Gate 3:<\/strong> the abandoned call rate at the pilot sites is lower than baseline, and every reminder carries a working reschedule option.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Week 4: How do you keep the gains and decide whether to scale?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Set up refill and ownership, then review all four numbers against baseline. Gains fade without an owner.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The open access study shows the risk. Five practices cut the wait for a third available short visit from 21 days to 8 days in four months. Over the next two years it rose to 11 days, and for long visits it rose from 14 days to 29 days. Provider leave was a major cause (<a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC2587225\/\">PMC, 2008<\/a>). Plan for absences before they happen.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Start a waitlist so a cancelled slot offers itself to patients who want an earlier visit, by text, without a staff call.<\/li>\n\n\n\n<li>Name one owner per site for TNAA, and review it weekly. Add known leave dates to the review.<\/li>\n\n\n\n<li>Compare the four numbers with the week-one baseline for both sites.<\/li>\n\n\n\n<li>Decide: scale, repeat a week, or stop.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Gate 4:<\/strong> at least two of the four numbers improved at both sites, and none got worse. If only one site improved, find out why before you copy anything.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What is the payoff? A worked estimate<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">This is an estimate with made-up inputs, not a measured result. Replace the inputs with your own.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Assumption: 6 sites with 500 booked visits per site each week, so 3,000 visits a week.<\/li>\n\n\n\n<li>Assumption: the no-show rate falls by 1 percentage point, for example from 7% to 6%.<\/li>\n\n\n\n<li>Calculation: 3,000 \u00d7 0.01 = 30 more kept visits a week, or about 1,560 a year (30 \u00d7 52).<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Multiply 1,560 by your average net revenue per visit for a yearly figure. The same arithmetic works in reverse: each point of no-show rate you do not recover is a visit someone else could have used.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Frequently asked questions<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">What is a good third next available appointment?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">It depends on specialty, but a falling trend matters more than one target. MGMA data shows the median for new primary care patients dropped from 10 days in 2019 to 5 days in 2022 (<a href=\"https:\/\/www.mgma.com\/mgma-stat\/accurately-predicting-no-shows-with-advanced-analytics-to-address-patient-access\">MGMA Stat<\/a>). Compare each provider with their own baseline.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Why not start at every site at once?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Because you cannot tell which change worked, and a mistake costs you at every site. A pilot at two sites keeps the cost small and gives you a clean comparison.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Will open access scheduling lower no-shows?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">It helps most where no-shows are already high. The systematic review found no-show rates improved only in practices with baseline rates above 15%. One four-practice pilot cut the rate from 16% to 11%, while another study saw no change at 14% (<a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC3154021\/\">PMC, 2011<\/a>).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Is this plan right for a small practice?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The measuring and template steps work at any size. The automation step pays off when call and reminder volume is high enough to justify it, as in multi-site groups. A very small, low-volume practice may not need it.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Next step<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Start with week one: pick your two pilot sites and write down the four numbers. If you want to see how automated scheduling calls and texts would fit into weeks three and four, <a href=\"https:\/\/interactly.ai\">book a demo with Interactly.ai<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A week-by-week plan to cut patient scheduling delays across multiple sites in 30 days, with go\/no-go gates and sourced results.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[3],"tags":[],"class_list":["post-33","post","type-post","status-publish","format-standard","hentry","category-patient-access-insights"],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/ourdemanddesk.org\/index.php?rest_route=\/wp\/v2\/posts\/33","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ourdemanddesk.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ourdemanddesk.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ourdemanddesk.org\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ourdemanddesk.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=33"}],"version-history":[{"count":1,"href":"https:\/\/ourdemanddesk.org\/index.php?rest_route=\/wp\/v2\/posts\/33\/revisions"}],"predecessor-version":[{"id":38,"href":"https:\/\/ourdemanddesk.org\/index.php?rest_route=\/wp\/v2\/posts\/33\/revisions\/38"}],"wp:attachment":[{"href":"https:\/\/ourdemanddesk.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=33"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ourdemanddesk.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=33"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ourdemanddesk.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=33"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}