{"id":43595,"date":"2026-09-07T14:58:54","date_gmt":"2026-09-07T14:58:54","guid":{"rendered":"https:\/\/eurekainfomed.it\/en\/?p=43595"},"modified":"2026-09-07T14:58:54","modified_gmt":"2026-09-07T14:58:54","slug":"effective-monitoring-of-online-reputation-in-the-pharmaceutical-industry","status":"publish","type":"post","link":"https:\/\/eurekainfomed.it\/en\/effective-monitoring-of-online-reputation-in-the-pharmaceutical-industry\/","title":{"rendered":"Effective monitoring of online reputation in the pharmaceutical industry"},"content":{"rendered":"<p>A comment posted under a video, a discussion in a forum, or a review related to a medical device can, within a matter of hours, become a matter for Medical Information, Pharmacovigilance, Quality Assurance, and Communications. For this reason, <strong>effective monitoring of online reputation in the pharmaceutical industry<\/strong> is not limited to measuring sentiment. It is a structured oversight of digital touchpoints that can identify medical information requests, potential safety reports, inaccurate statements, and issues that may affect trust in a product or company.<\/p>\n<div>\n<div id=\"copilot-message-_r_ak_\" class=\"fai-CopilotMessage__content r1izxv8h ___7qar2c0 fcthzvy\" dir=\"auto\">\n<div dir=\"auto\">\n<div class=\"___1vve6yh f22iagw f1vx9l62 f122n59 f3bhgqh f1mnxvew fly5x3f\">\n<div class=\"___j4vmuw0 f22iagw f1vx9l62 f1869bpl fly5x3f fbc6vix\">\n<div tabindex=\"-1\" data-testid=\"loading-message\">\n<div id=\"response-id_r_ai_\" class=\"___1yop6mf f336tjw f9ijwd5 fz7g6wx fod5ikn f1s184ao\" data-testid=\"lastChatMessage\">\n<div class=\"___1peis63 f22iagw f1063pyq f6jr5hl f1c88k3p\">\n<div class=\"___4htdyp0 fz7g6wx fy77jfu\">\n<div class=\"___1j4t0a1 f1lmfglv f1abmfm4\" dir=\"auto\" aria-hidden=\"false\" data-testid=\"markdown-reply\" data-message-id=\"0556da69-def1-46b2-b10b-877a8d22e81c\" data-message-type=\"Chat\">\n<div class=\"___1ddt6wa f22iagw f1vx9l62 fkmyikg fk15e71 f1k953kz f137keqj f1rncccw f1stllg3 f1w4kmmc f1tric3v f10dk5ic fx8cdsv f16nlwsl f1eookvz fhjrts3 fqugt2f f18d18k8 f1v1vhmp f1hdmul3 f198vjnp f2dshw1 fjpjndq fnmj2pj ffrrb40 f1mon110 fhajzam fimndk6 fxv4dng fb1rn9k f59wlhv f1xmfh30 f18yf5o5 fmr6chf fw8qy2q ff161sd f1qr7t77 f1yyogn1 foogchg fp5872b f1tpb8gf f1hdgrc8 f1vatr43 frkxccd f9pdzkb f158oiaz ft5kggy f5l4ui7 f13j03li f18xdoka f8off4e f1go6zfc f128n2ra f1jpxw2j f1lwd9n0 fy0b8hm f1g2633v fx4kvgi fkvolse f1gxrt3a f1os76ua f1js9cnw f1g87ej0 freluf8 f1yggaq6 f2i3chp f1151osp florpoh f35kzfz ftp9m57 f1e288vi fz62hnz fixvuys f1nmofwh fc1c6mv f18a2er7 fhvkrdl fhxnn68 f1oce4bo fvhlfan f7tc0t0 f1ngf1n2 ffrzq6x f1yjiq2m f1aqdgql f1huvaf f10ij78l f1k94sa4 fkmfumq f1jvzkyl f1eu24ob f1xbfc1f fmf0lwf f107dsy8 f3w566c f4648sl f13zpkng f7unjfp f8p1rz fzu6h1w f1i1bi6h f1smo7hi f1sk1xod f1kgogdq f1gjktkp ft608jz f1o9wiiv fg3xr24 fhd155k f1b8gl2e fg4b9ou flb4lo fdicbfk fgwcyh1 f1jbds0d f1fb9uea f1stuka4 fcrtu6g fwqh0xn f11w66yg f6e0e65 f1vvgu0 f1607507 fgct6un f1ec1nbe fg3fpv7 f1m9bycv f1ntoah8 f1b694rt faql4r2 fpjuhzh fmavl6h f1d9bsk fmzhlt0 f145l92p fwkyaqm f129obh1 f19la9g f127w39w fr0ux9m fxhidck f1cu4h9j f1wnbo7v f1eueg4z fy9c24f f1h2o91j f1iw08fq f19n0e5 f196z6ca fsbhmxc f1mth4z6\">\n<p>For pharmaceutical, biotech, medtech, and healthcare organizations, the difference is not determined by the number of mentions collected. What matters is the ability to assign the correct meaning to each piece of content, activate the appropriate process, and document the actions taken. Clarity in the decision-making pathway is a safety measure: it reduces the risk of improvised responses, delays in managing relevant cases, and misalignment between internal functions.<\/p>\n<h2>Why digital reputation requires scientific oversight<\/h2>\n<p>In online conversations, the boundary between an opinion, a question, and a report can be subtle. A user describing an adverse effect associated with a medicinal product, even without using precise clinical terminology, may generate information that should be evaluated according to pharmacovigilance procedures. Similarly, a question regarding indications, instructions for use, or interactions should not be treated as a routine customer care inquiry when it requires a balanced scientific response consistent with approved information.<\/p>\n<p>Digital platforms make this scenario more complex. Content may be incomplete, written by a caregiver, reposted by other profiles, or published in environments that change rapidly. Automated screening can help identify keywords and trends, but it cannot replace human evaluation. Colloquial expressions, irony, misspelled brand names, and indirect references to a product generate false positives and, more importantly, potential omissions.<\/p>\n<p>There is also a reputational issue specific to the life sciences sector: correcting inaccurate information must not become out-of-context promotional communication. Any public interaction must respect the approved framework, the nature of the channel, company procedures, and the distinction between scientific information, corporate communication, and safety case management. For this reason, monitoring should be built on shared governance rather than being an isolated marketing or communications activity.<\/p>\n<h2>Monitoring pharmaceutical online reputation: what to observe<\/h2>\n<p>An effective program begins by defining its scope. Not all sources have the same relevance, nor do they require the same monitoring frequency. Corporate social media channels, e-commerce pages, forums, patient communities, review websites, digital media, and editorial content may all have different dynamics. Selection depends on the portfolio, therapeutic area, markets involved, type of stakeholder, and the presence of campaigns or product launches.<\/p>\n<p>Monitoring should include the company name, brands, device names, common variations, product classes, and, where justified, relevant clinical topics. Active substance names, competitors, or disease names may also be included when the scope is proportionate to the objectives and clear rules are in place regarding the management of collected information.<\/p>\n<p>Quantitative data remain useful. Mention volume, trends over time, the most active sources, and the speed of information spread help identify anomalies. However, for a life sciences company, the operational priority is qualitative. A single mention may require immediate attention if it contains elements related to an adverse event, a technical complaint, or a potential quality issue. Conversely, a surge in negative comments may be reputationally significant without generating any pharmacovigilance obligations. These are different workflows that must communicate with one another without being confused.<\/p>\n<h2>From identification to classification<\/h2>\n<p>The key step is triage. Each identified item of content should be evaluated and classified according to predefined operational categories: medical information request, potential adverse event, product complaint, misinformation, reputational comment, access issue, or communication-related topic. The classification process should include explicit criteria, practical examples, and priority levels.<\/p>\n<p>In the case of a potential safety report, monitoring does not replace the pharmacovigilance system. It represents a possible entry point into that system. The information should be routed within established timelines to the appropriate functions, including evidence of the source, date of identification, available text, and actions taken. Data retention and processing should follow company procedures, applicable obligations, and data minimization principles, including careful consideration of personal information published by users.<\/p>\n<p>For medical inquiries, the process should involve Medical Information and personnel authorized to prepare accurate, non-promotional responses supported by relevant documentation. Public responses are not always appropriate. In some situations, it is preferable to invite the individual to use a suitable channel that protects confidentiality and allows complete management of the request. A decision not to respond should nevertheless be documented and justified rather than resulting from uncertainty regarding responsibility.<\/p>\n<h2>A process that connects functions and responsibilities<\/h2>\n<p>The quality of the monitoring framework depends on clear responsibilities. A sustainable operating model defines who observes the sources, who performs the initial assessment, who decides on escalation, who approves responses, and who maintains documentation. Procedures should also specify response timelines, contact channels, case closure criteria, and out-of-hours management where the risk profile requires it.<\/p>\n<p>The involvement of multiple functions should not slow the process. On the contrary, a well-designed escalation matrix prevents redundant steps. Pharmacovigilance evaluates safety information; Medical Information manages scientific inquiries; Quality and technical functions assess complaints and potential defects; Regulatory Affairs verifies communication boundaries; Communications and Marketing contribute to understanding the reputational context. Decisions remain consistent when each function operates within its area of responsibility using shared terminology and documentation.<\/p>\n<p>Outsourcing can be useful when volumes fluctuate, broader coverage is required, or internal teams need specialized expertise without permanently increasing headcount. In these situations, the partner should operate as a qualified extension of the company through product and procedure training, controlled access to tools, agreed response times, auditable activities, and clear boundaries regarding company-owned decisions. Eureka InfoMed integrates expertise in Medical Information, Pharmacovigilance, Medical Writing, and Quality to support processes that require continuity between scientific evaluation, documentation, and operational management.<\/p>\n<h2>Useful technology, but not sufficient<\/h2>\n<p>Social listening platforms are effective for aggregating sources, creating queries, identifying spikes, and generating dashboards. Their value, however, depends on configuration. A query that is too broad creates noise and increases review workload; a query that is too narrow risks excluding meaningful conversations. Keywords should be reviewed periodically, taking into account new product launches, changes in user language, and findings from manual review.<\/p>\n<p>Artificial intelligence can support prioritization and preliminary content analysis, but it should not independently determine whether a case is a pharmacovigilance matter, whether a response is compliant, or whether information is scientifically accurate. In regulated environments, automation requires validation, qualified oversight, and a documented assessment of tool limitations. The goal is not to use more technology, but to use technology that is appropriate to the risk and controllable over time.<\/p>\n<h2>Metrics that measure control, not just visibility<\/h2>\n<p>A report intended for management and operational functions should not focus solely on the proportion of positive or negative sentiment. It should also show content distribution by category, the time from identification to escalation, compliance with service-level agreements, the number of cases referred to relevant functions, the sources generating the greatest exposure, and recurring themes.<\/p>\n<p>It is equally useful to analyze outcomes: which questions recur most frequently, which content generates misunderstandings, where complaints or distorted perceptions are concentrated, and which informational materials could prevent future requests. Monitoring then becomes a structured source of evidence for improving scientific communication, internal training, and touchpoint management.<\/p>\n<p>Reputation is not protected by deleting every critical comment or responding to every mention. It is protected through a system capable of distinguishing, evaluating, and acting rigorously. When digital listening, scientific expertise, and compliance operate within the same process, even a complex conversation can become an opportunity to demonstrate reliability.<\/p>\n<p>Sources<\/p>\n<ol>\n<li>European Medicines Agency (EMA). <em>Good Pharmacovigilance Practices (GVP), Module VI \u2013 Collection, Management and Submission of Reports of Suspected Adverse Reactions to Medicinal Products<\/em>.<\/li>\n<li>European Medicines Agency (EMA). <em>Guideline on Good Pharmacovigilance Practices (GVP), Module IX \u2013 Signal Management<\/em>.<\/li>\n<li>Association of the British Pharmaceutical Industry (ABPI). <em>Guidance on the Management of Information from Digital Media and Social Media in Pharmacovigilance<\/em>.<\/li>\n<li>European Federation of Pharmaceutical Industries and Associations (EFPIA). <em>EFPIA Code of Practice<\/em>.<\/li>\n<\/ol>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"fai-CopilotMessage__actions rmlvq19 ___7qar2c0 fcthzvy\" role=\"toolbar\" data-tabster=\"{&quot;mover&quot;:{&quot;cyclic&quot;:false,&quot;direction&quot;:2,&quot;memorizeCurrent&quot;:true}}\"><i tabindex=\"0\" data-tabster-dummy=\"\" aria-hidden=\"true\"><\/i><\/p>\n<div class=\"___1akvep3 f22iagw f1vx9l62 fdr99fa fly5x3f\"><\/div>\n<p><i tabindex=\"0\" data-tabster-dummy=\"\" aria-hidden=\"true\"><\/i><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>A comment posted under a video, a discussion in a forum, or a review related to a medical device can, within a matter of hours, become a matter for Medical&#8230;<\/p>\n","protected":false},"author":16,"featured_media":43596,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-43595","post","type-post","status-publish","format-standard","has-post-thumbnail","category-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - 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