{"id":10544,"date":"2026-08-14T10:00:00","date_gmt":"2026-08-14T14:00:00","guid":{"rendered":"http:\/\/andorhealth.com\/wps\/remote-patient-monitoring-needs-an-ai-native-clinical-service\/"},"modified":"2026-08-19T13:55:50","modified_gmt":"2026-08-19T17:55:50","slug":"remote-patient-monitoring-needs-an-ai-native-clinical-service","status":"publish","type":"post","link":"https:\/\/andorhealth.com\/wps\/remote-patient-monitoring-needs-an-ai-native-clinical-service\/","title":{"rendered":"Remote Patient Monitoring Needs an AI-Native Clinical Service."},"content":{"rendered":"<p><span>Remote patient monitoring has enormous potential.<\/span><\/p>\n<p><span>The premise is simple: instead of waiting for a patient&#8217;s next appointment to understand how they&#8217;re doing, healthcare organizations can use connected devices to continuously collect information outside traditional care settings.<\/span><\/p>\n<p><span>But collecting more data doesn&#8217;t automatically create better care.<\/span><\/p>\n<p><span>In fact, without the right operating model, it can create the opposite problem.<\/span><\/p>\n<p><span>More readings.<\/span><\/p>\n<p><span>More alerts.<\/span><\/p>\n<p><span>More queues.<\/span><\/p>\n<p><span>More work for already stretched clinical teams.<\/span><\/p>\n<p><span>That&#8217;s why the next generation of remote patient monitoring can&#8217;t simply be about connecting devices to healthcare systems.<\/span><\/p>\n<p><span>It needs to turn those signals into <\/span><strong><span>clinical action.<\/span><\/strong><\/p>\n<p><span>ThinkAndor\u00ae Remote Patient Monitoring is now available in Epic Toolbox for the Remote Patient Monitoring category, giving health systems a path toward an AI-native approach that combines connected devices, intelligent automation, integrated workflows, and clinical services.<\/span><\/p>\n<p><span>The significance goes far beyond another integration.<\/span><\/p>\n<p><span>It represents a different model for delivering continuous care.<\/span><\/p>\n<h2><span>The RPM Problem Has Never Been the Device<\/span><\/h2>\n<p><span>Healthcare has become increasingly capable of collecting patient-generated health data.<\/span><\/p>\n<p><span>Blood pressure cuffs, scales, pulse oximeters, glucose monitors, and other connected devices can continuously provide valuable information about patients between traditional encounters.<\/span><\/p>\n<p><span>But somebody\u2014or something\u2014still has to interpret that information.<\/span><\/p>\n<p><span>A successful RPM program must answer a series of operational questions:<\/span><\/p>\n<p><span>Which readings matter?<\/span><\/p>\n<p><span>Which patients require attention?<\/span><\/p>\n<p><span>Who should follow up?<\/span><\/p>\n<p><span>What action should be taken?<\/span><\/p>\n<p><span>How does that information become part of the patient&#8217;s longitudinal record?<\/span><\/p>\n<p><span>And how can all of this happen without creating an unsustainable new workload for clinicians?<\/span><\/p>\n<p><span>Simply sending device data into a dashboard doesn&#8217;t solve those problems.<\/span><\/p>\n<p><span>An AI-native clinical service can.<\/span><\/p>\n<h2><span>From Data Collection to Intelligent Action<\/span><\/h2>\n<p><span>ThinkAndor\u00ae RPM continuously analyzes incoming patient information to identify potential clinical concerns and prioritize patients who may benefit from intervention.<\/span><\/p>\n<p><span>That changes the role of remote monitoring.<\/span><\/p>\n<p><span>Instead of clinicians manually reviewing every signal with equal urgency, AI can help continuously evaluate incoming information, organize work, and surface the situations most likely to require attention.<\/span><\/p>\n<p><span>Clinicians remain responsible for clinical judgment.<\/span><\/p>\n<p><span>But they don&#8217;t need to be the first layer of manual processing for every piece of data.<\/span><\/p>\n<p><span>That is the central advantage of AI-native clinical services: <\/span><strong><span>AI does the work it can do, while clinicians focus on the work only they should do.<\/span><\/strong><\/p>\n<h2><span>Meet Clinicians Where They Already Work<\/span><\/h2>\n<p><span>Healthcare technology adoption becomes dramatically harder when clinicians are asked to operate yet another application.<\/span><\/p>\n<p><span>ThinkAndor\u00ae takes a different approach.<\/span><\/p>\n<p><span>Patient-generated health data, device readings, alerts, and longitudinal trends can flow into <span style=\"color: #33475b\"><span style=\"background-color: #ff8f73\">the CHR <\/span><\/span>so clinicians can review monitoring information within established workflows while&nbsp;<span style=\"color: #33475b\"><span style=\"background-color: #fdf3e1\">the CHR <\/span><\/span>remains the system of record.<\/span><\/p>\n<p><span>That&#8217;s important because AI-native healthcare shouldn&#8217;t require replacing the EHR.<\/span><\/p>\n<p><span>It should make the EHR\u2014and the people working inside it\u2014more effective.<\/span><\/p>\n<p><span>The intelligence layer should operate across existing infrastructure, bringing the right information and actions into the clinical environment instead of forcing clinicians to continually move between disconnected systems.<\/span><\/p>\n<h2><span>Technology Alone Doesn&#8217;t Operate an RPM Program<\/span><\/h2>\n<p><span>Even with AI, health systems still face another challenge: clinical capacity.<\/span><\/p>\n<p><span>Remote patient monitoring requires ongoing patient engagement, care coordination, education, escalation, and follow-up.<\/span><\/p>\n<p><span>Traditionally, expanding those programs meant building internal teams alongside the technology.<\/span><\/p>\n<p><span>ThinkAndor\u00ae approaches the problem differently.<\/span><\/p>\n<p><span>Through integrated clinical services, nurses, care navigators, dietitians, and other clinical resources can support patient engagement, monitoring, and care coordination based on the needs of the health system.<\/span><\/p>\n<p><span>That turns RPM from a software implementation into an <\/span><strong><span>AI-native clinical service.<\/span><\/strong><\/p>\n<p><span>Instead of giving the health system another platform and asking it to build an operating model around the technology, AI infrastructure and clinical capacity can operate together.<\/span><\/p>\n<h2><span>Expanding Access Without Expanding Complexity<\/span><\/h2>\n<p><span>The model becomes particularly important when healthcare organizations want to reach rural and underserved populations.<\/span><\/p>\n<p><span>Remote monitoring often assumes patients have reliable broadband, compatible smartphones, and the technical ability to configure connected devices.<\/span><\/p>\n<p><span>Those assumptions can unintentionally exclude many of the people who could benefit most from continuous care.<\/span><\/p>\n<p><span>ThinkAndor\u00ae can support cellular-enabled monitoring devices designed to reduce those technology barriers.<\/span><\/p>\n<p><span>The objective is simple: participation in continuous care shouldn&#8217;t depend on a patient&#8217;s ability to become their own IT department.<\/span><\/p>\n<p><span>Removing those barriers can help health systems extend monitoring programs beyond digitally sophisticated patient populations and into communities where access to traditional care may already be limited.<\/span><\/p>\n<h2><span>A Practical Foundation for CMS ACCESS<\/span><\/h2>\n<p><span>This capability also takes on new significance as CMS advances the ACCESS Model.<\/span><\/p>\n<p><span>ACCESS represents a shift toward technology-supported chronic care in which healthcare organizations are increasingly accountable for continuous engagement and outcomes.<\/span><\/p>\n<p><span>Psynergy Health, an Andor Ventures company and CMS ACCESS participant, uses ThinkAndor\u00ae as the technology foundation supporting its ACCESS clinical model.<\/span><\/p>\n<p><span>For health systems, that creates an important opportunity.<\/span><\/p>\n<p><span>Rather than assembling devices, monitoring software, AI capabilities, clinical staffing, EHR integration, and chronic-care workflows from separate vendors, organizations can move toward an integrated model built around AI-native clinical services.<\/span><\/p>\n<h2><span>The Future of RPM Is Continuous Care<\/span><\/h2>\n<p><span>Remote patient monitoring shouldn&#8217;t ultimately be measured by the number of devices deployed or readings collected.<\/span><\/p>\n<p><span>It should be measured by what happens because those readings exist.<\/span><\/p>\n<p><span>Was risk identified earlier?<\/span><\/p>\n<p><span>Was the right clinician engaged?<\/span><\/p>\n<p><span>Was unnecessary work avoided?<\/span><\/p>\n<p><span>Did patients remain connected to their care teams?<\/span><\/p>\n<p><span>Did the organization increase the number of patients it could effectively manage?<\/span><\/p>\n<p><span>Did outcomes improve?<\/span><\/p>\n<p><span>Those questions move RPM from a technology conversation to a healthcare-delivery conversation.<\/span><\/p>\n<p><span>Connected devices provide the signal.<\/span><\/p>\n<p><span>AI provides continuous intelligence and orchestration.<\/span><\/p>\n<p><span>Clinicians provide judgment and care.<\/span><\/p>\n<p><span>And the EHR provides the longitudinal clinical record.<\/span><\/p>\n<p><span>Bringing those components together is what turns remote patient monitoring into continuous care.<\/span><\/p>\n<p><span>That&#8217;s the promise of AI-native clinical services: not another system clinicians have to operate, but an operating model that helps healthcare organizations deliver the outcome.<\/span><\/p>","protected":false},"excerpt":{"rendered":"Remote patient monitoring has enormous potential.","protected":false},"author":1,"featured_media":10545,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-hubspot.php","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-10544","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","hsbi-imported-post"],"acf":[],"rttpg_featured_image_url":{"full":["https:\/\/andorhealth.com\/wps\/wp-content\/uploads\/2026\/08\/Andor20Health20Article2023520Image.png",1200,627,false],"landscape":["https:\/\/andorhealth.com\/wps\/wp-content\/uploads\/2026\/08\/Andor20Health20Article2023520Image.png",1200,627,false],"portraits":["https:\/\/andorhealth.com\/wps\/wp-content\/uploads\/2026\/08\/Andor20Health20Article2023520Image.png",1200,627,false],"thumbnail":["https:\/\/andorhealth.com\/wps\/wp-content\/uploads\/2026\/08\/Andor20Health20Article2023520Image-150x150.png",150,150,true],"medium":["https:\/\/andorhealth.com\/wps\/wp-content\/uploads\/2026\/08\/Andor20Health20Article2023520Image-300x157.png",300,157,true],"large":["https:\/\/andorhealth.com\/wps\/wp-content\/uploads\/2026\/08\/Andor20Health20Article2023520Image-1024x535.png",800,418,true],"1536x1536":["https:\/\/andorhealth.com\/wps\/wp-content\/uploads\/2026\/08\/Andor20Health20Article2023520Image.png",1200,627,false],"2048x2048":["https:\/\/andorhealth.com\/wps\/wp-content\/uploads\/2026\/08\/Andor20Health20Article2023520Image.png",1200,627,false],"qi_addons_for_elementor_image_size_square":["https:\/\/andorhealth.com\/wps\/wp-content\/uploads\/2026\/08\/Andor20Health20Article2023520Image-650x627.png",650,627,true],"qi_addons_for_elementor_image_size_landscape":["https:\/\/andorhealth.com\/wps\/wp-content\/uploads\/2026\/08\/Andor20Health20Article2023520Image.png",1200,627,false],"qi_addons_for_elementor_image_size_portrait":["https:\/\/andorhealth.com\/wps\/wp-content\/uploads\/2026\/08\/Andor20Health20Article2023520Image-650x627.png",650,627,true],"qi_addons_for_elementor_image_size_huge-square":["https:\/\/andorhealth.com\/wps\/wp-content\/uploads\/2026\/08\/Andor20Health20Article2023520Image.png",1200,627,false]},"rttpg_author":{"display_name":"","author_link":"https:\/\/andorhealth.com\/wps\/author\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/andorhealth.com\/wps\/category\/uncategorized\/\" rel=\"category tag\">Uncategorized<\/a>","rttpg_excerpt":"Remote patient monitoring has enormous 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