{"id":120,"date":"2024-06-27T20:30:34","date_gmt":"2024-06-27T20:30:34","guid":{"rendered":"https:\/\/idlabs.health\/?page_id=120"},"modified":"2025-02-25T19:27:58","modified_gmt":"2025-02-25T19:27:58","slug":"contact","status":"publish","type":"page","link":"https:\/\/idlabs.health\/?page_id=120","title":{"rendered":"Contact Us"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; next_background_color=&#8221;#ffffff&#8221; admin_label=&#8221;Header&#8221; _builder_version=&#8221;4.16&#8243; background_color=&#8221;rgba(239,103,40,0.96)&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_direction=&#8221;148deg&#8221; background_color_gradient_stops=&#8221;#2130b7 19%|#ff915e 100%&#8221; background_color_gradient_start=&#8221;#2130b7&#8243; background_color_gradient_start_position=&#8221;19%&#8221; background_color_gradient_end=&#8221;#ff915e&#8221; background_image=&#8221;https:\/\/idlabs.health\/wp-content\/uploads\/2024\/06\/software-06.png&#8221; 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global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; text_font=&#8221;||||||||&#8221; text_line_height=&#8221;2em&#8221; header_2_font=&#8221;Poppins|600|||||||&#8221; header_2_font_size=&#8221;40px&#8221; header_2_line_height=&#8221;1.4em&#8221; header_3_font=&#8221;Poppins|600||on|||||&#8221; header_3_text_color=&#8221;#ff885a&#8221; header_3_font_size=&#8221;13px&#8221; header_3_letter_spacing=&#8221;2px&#8221; header_3_line_height=&#8221;1.8em&#8221; text_orientation=&#8221;center&#8221; max_width=&#8221;700px&#8221; module_alignment=&#8221;center&#8221; header_2_font_size_tablet=&#8221;26px&#8221; header_2_font_size_phone=&#8221;20px&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>FAQ<\/h3>\n<h2>Frequently Asked Questions<\/h2>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; 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border_width_bottom=&#8221;2px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>We work with you to finance\u00a0<strong>PrecogsAI<\/strong> through the cost savings you will achieve in reducing your incidence of HAI. Take a look at some of these below:<\/p>\n<p>Healthcare-Associated Infections (HAIs) cost healthcare systems on average \u00a320\u201350 billion annually, with each infection adding significant financial strain. <strong>PrecogsAI<\/strong> helps identify high-risk patients early, enabling preventive measures that reduce infection rates and associated costs. By preventing prolonged hospital stays, <strong>PrecogsAI<\/strong> can save \u00a310,000\u2013\u00a350,000 per patient by reducing the average 7-25 day length of stay caused by HAIs. AI models minimize ICU admissions, preventing severe infections from escalating to sepsis and saving \u00a315,000\u2013\u00a340,000 per patient in intensive care costs. Optimized antibiotic selection through AI-powered antimicrobial stewardship reduces unnecessary drug use, saving yet more in medication costs.<\/p>\n<p>By preventing 30-day readmissions <strong>PrecogsAI<\/strong> will reduce hospital penalties and enhances patient outcomes. Hospitals using AI-driven HAI prevention can avoid reimbursement cuts, reduce compliance penalties, and lower staff workload by improving infection surveillance efficiency. We can optimise resource allocation, allowing hospitals to strategically deploy infection control teams, saving staff costs and improving patient management. Studies suggest that preventing just 20-30% of HAIs using predictive analytics can save hospitals \u00a35\u2013\u00a310 million annually, with a potential national savings of \u00a38\u201315 billion per year. Hospitals implementing our system can achieve 5-10x ROI within the first few years, making it a high-impact, cost-effective investment.<\/p>\n<p>Every deployment of\u00a0<strong>PrecogsAI<\/strong> is bespoke and we would be happy to discuss your hospital or facility and how we can save you money and improve patient care.<\/p>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_toggle][et_pb_toggle title=&#8221;Do I need to be technical to work with PrecogsAI?&#8221; open_toggle_background_color=&#8221;rgba(0,0,0,0)&#8221; closed_toggle_background_color=&#8221;rgba(0,0,0,0)&#8221; icon_color=&#8221;#5768d0&#8243; open_icon_color=&#8221;#5768d0&#8243; _builder_version=&#8221;4.27.4&#8243; title_level=&#8221;h4&#8243; title_font=&#8221;Poppins|600|||||||&#8221; title_line_height=&#8221;1.6em&#8221; body_font=&#8221;||||||||&#8221; body_line_height=&#8221;2em&#8221; custom_margin=&#8221;||0px&#8221; custom_padding=&#8221;30px|0px|30px|0px|true|true&#8221; title_font_size_tablet=&#8221;&#8221; title_font_size_phone=&#8221;14px&#8221; title_font_size_last_edited=&#8221;on|phone&#8221; border_width_all=&#8221;0px&#8221; border_color_all=&#8221;rgba(217,217,217,0.4)&#8221; border_width_bottom=&#8221;2px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>PrecogsAI<\/strong> is designed with a simple, intuitive interface that allows healthcare professionals to access powerful AI-driven insights without needing any technical expertise. The platform features a user-friendly dashboard that provides real-time infection risk scores, predictive alerts, and treatment recommendations in a clear and actionable format. Clinicians can easily navigate the system, receiving automated, evidence-based guidance with just a few clicks\u2014no coding or complex data analysis required. With data integration Copilot assistance, <strong>PrecogsAI<\/strong> ensures that infection prevention and control are effortless, efficient, and accessible for any medical professional, from frontline nurses to hospital administrators.<\/p>\n<p>[\/et_pb_toggle][et_pb_toggle title=&#8221;How will you use my patient&#8217;s data?&#8221; open_toggle_background_color=&#8221;rgba(0,0,0,0)&#8221; closed_toggle_background_color=&#8221;rgba(0,0,0,0)&#8221; icon_color=&#8221;#5768d0&#8243; open_icon_color=&#8221;#5768d0&#8243; _builder_version=&#8221;4.27.4&#8243; title_level=&#8221;h4&#8243; title_font=&#8221;Poppins|600|||||||&#8221; title_line_height=&#8221;1.6em&#8221; body_font=&#8221;||||||||&#8221; body_line_height=&#8221;2em&#8221; custom_margin=&#8221;||0px&#8221; custom_padding=&#8221;30px|0px|30px|0px|true|true&#8221; title_font_size_tablet=&#8221;&#8221; title_font_size_phone=&#8221;14px&#8221; title_font_size_last_edited=&#8221;on|phone&#8221; border_width_all=&#8221;0px&#8221; border_color_all=&#8221;rgba(217,217,217,0.4)&#8221; border_width_bottom=&#8221;2px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>PrecogsAI<\/strong> is built with strict data privacy and security protocols, ensuring full compliance with HIPAA, GDPR, and other global healthcare confidentiality laws. The platform employs advanced encryption, de-identification, and anonymisation techniques to protect patient data while still enabling powerful predictive analytics. Personally identifiable information (PII) is never stored or processed, and all data is aggregated and tokenised before analysis to prevent re-identification. Additionally, <strong>PrecogsAI <\/strong>operates within secure, healthcare-compliant cloud environments with role-based access controls, ensuring that only authorised personnel can access relevant insights. By maintaining the highest standards of privacy, security, and regulatory compliance, <strong>PrecogsAI <\/strong>empowers healthcare organizations to leverage AI-driven infection prevention while safeguarding patient confidentiality.<\/p>\n<p>[\/et_pb_toggle][et_pb_toggle title=&#8221;Will I need to manually input reams of data?&#8221; open_toggle_background_color=&#8221;rgba(0,0,0,0)&#8221; closed_toggle_background_color=&#8221;rgba(0,0,0,0)&#8221; icon_color=&#8221;#5768d0&#8243; open_icon_color=&#8221;#5768d0&#8243; _builder_version=&#8221;4.27.4&#8243; title_level=&#8221;h4&#8243; title_font=&#8221;Poppins|600|||||||&#8221; title_line_height=&#8221;1.6em&#8221; body_font=&#8221;||||||||&#8221; body_line_height=&#8221;2em&#8221; custom_margin=&#8221;||0px&#8221; custom_padding=&#8221;30px|0px|30px|0px|true|true&#8221; title_font_size_tablet=&#8221;&#8221; title_font_size_phone=&#8221;14px&#8221; title_font_size_last_edited=&#8221;on|phone&#8221; border_width_all=&#8221;0px&#8221; border_color_all=&#8221;rgba(217,217,217,0.4)&#8221; border_width_bottom=&#8221;2px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Simple answer &#8211; NO! <strong>PrecogsAI<\/strong> seamlessly integrates with existing hospital systems, including Electronic Health Records (EHRs), Laboratory Information Systems (LIS), and real-time patient monitoring tools, to automatically extract relevant clinical, microbiological, and patient history data for predictive analysis. Using secure API connections and HL7\/FHIR interoperability standards, the platform continuously pulls and processes vital signs, lab results, medication records, and patient movement data without requiring manual data entry from healthcare professionals. This automated data extraction ensures that infection risk predictions are always up to date, accurate, and reflective of real-time patient conditions, reducing administrative burden while enhancing clinical decision-making and operational efficiency.<\/p>\n<p>[\/et_pb_toggle][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_toggle title=&#8221;How does it work?&#8221; open_toggle_background_color=&#8221;rgba(0,0,0,0)&#8221; closed_toggle_background_color=&#8221;rgba(0,0,0,0)&#8221; icon_color=&#8221;#5768d0&#8243; open_icon_color=&#8221;#5768d0&#8243; _builder_version=&#8221;4.16&#8243; title_level=&#8221;h4&#8243; title_font=&#8221;Poppins|600|||||||&#8221; title_line_height=&#8221;1.6em&#8221; body_font=&#8221;||||||||&#8221; body_line_height=&#8221;2em&#8221; custom_margin=&#8221;||0px&#8221; custom_padding=&#8221;30px|0px|30px|0px|true|true&#8221; title_font_size_tablet=&#8221;&#8221; title_font_size_phone=&#8221;14px&#8221; title_font_size_last_edited=&#8221;on|phone&#8221; border_width_all=&#8221;0px&#8221; border_color_all=&#8221;rgba(217,217,217,0.4)&#8221; border_width_bottom=&#8221;2px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>PrecogsAI<\/strong> works by analysing multiple real-time data inputs, including patient vitals, lab results, medical history, and hospital movement data, to predict and prevent Healthcare-Associated Infections (HAIs). At its core, the platform leverages a contact network graph, mapping patient interactions, shared spaces, and staff movements to understand how infections may spread within a facility. Additionally, it utilises a knowledge graph, integrating clinical guidelines, antimicrobial resistance patterns, and past infection trends to refine risk assessments and treatment recommendations. By combining these AI-driven models with real-time hospital data, <strong>PrecogsAI <\/strong>provides early infection warnings, personalised risk scores, and actionable insights to help healthcare teams prevent infection before it occurs.<\/p>\n<p>[\/et_pb_toggle][et_pb_toggle title=&#8221;How accurate is it?&#8221; open_toggle_background_color=&#8221;rgba(0,0,0,0)&#8221; closed_toggle_background_color=&#8221;rgba(0,0,0,0)&#8221; icon_color=&#8221;#5768d0&#8243; open_icon_color=&#8221;#5768d0&#8243; _builder_version=&#8221;4.16&#8243; title_level=&#8221;h4&#8243; title_font=&#8221;Poppins|600|||||||&#8221; title_line_height=&#8221;1.6em&#8221; body_font=&#8221;||||||||&#8221; body_line_height=&#8221;2em&#8221; custom_margin=&#8221;||0px&#8221; custom_padding=&#8221;30px|0px|30px|0px|true|true&#8221; title_font_size_tablet=&#8221;&#8221; title_font_size_phone=&#8221;14px&#8221; title_font_size_last_edited=&#8221;on|phone&#8221; border_width_all=&#8221;0px&#8221; border_color_all=&#8221;rgba(217,217,217,0.4)&#8221; border_width_bottom=&#8221;2px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>PrecogsAI<\/strong> is designed to achieve 85%+ accuracy in predicting Healthcare-Associated Infections (HAIs), leveraging advanced machine learning models trained on real-world hospital data. As we expand our deployment across more healthcare facilities, the system continuously learns and improves, refining its risk prediction algorithms based on diverse patient populations, infection patterns, and environmental factors. With each new hospital integration, <strong>PrecogsAI\u2019s <\/strong>predictive accuracy strengthens, making it an increasingly powerful tool for infection prevention and control in modern healthcare settings.<\/p>\n<p>[\/et_pb_toggle][et_pb_toggle title=&#8221;Can I audit infection data from PrecogsAI?&#8221; open_toggle_background_color=&#8221;rgba(0,0,0,0)&#8221; closed_toggle_background_color=&#8221;rgba(0,0,0,0)&#8221; icon_color=&#8221;#5768d0&#8243; open_icon_color=&#8221;#5768d0&#8243; _builder_version=&#8221;4.16&#8243; title_level=&#8221;h4&#8243; title_font=&#8221;Poppins|600|||||||&#8221; title_line_height=&#8221;1.6em&#8221; body_font=&#8221;||||||||&#8221; body_line_height=&#8221;2em&#8221; custom_margin=&#8221;||0px&#8221; custom_padding=&#8221;30px|0px|30px|0px|true|true&#8221; title_font_size_tablet=&#8221;&#8221; title_font_size_phone=&#8221;14px&#8221; title_font_size_last_edited=&#8221;on|phone&#8221; border_width_all=&#8221;0px&#8221; border_color_all=&#8221;rgba(217,217,217,0.4)&#8221; border_width_bottom=&#8221;2px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>With <strong>PrecogsAI<\/strong>, healthcare facilities can audit infection data in real time, including infection trends, bed occupancy, types of infections, patient length of stay, and more. The platform provides comprehensive reports and analytics, allowing hospitals to track infection patterns, evaluate intervention effectiveness, and ensure regulatory compliance\u2014all from a centralised dashboard.<\/p>\n<p>[\/et_pb_toggle][et_pb_toggle title=&#8221;Will I be able to speak with PrecogsAI&#8217;s Copilot?&#8221; open_toggle_background_color=&#8221;rgba(0,0,0,0)&#8221; closed_toggle_background_color=&#8221;rgba(0,0,0,0)&#8221; icon_color=&#8221;#5768d0&#8243; open_icon_color=&#8221;#5768d0&#8243; _builder_version=&#8221;4.16&#8243; title_level=&#8221;h4&#8243; title_font=&#8221;Poppins|600|||||||&#8221; title_line_height=&#8221;1.6em&#8221; body_font=&#8221;||||||||&#8221; body_line_height=&#8221;2em&#8221; custom_margin=&#8221;||0px&#8221; custom_padding=&#8221;30px|0px|30px|0px|true|true&#8221; title_font_size_tablet=&#8221;&#8221; title_font_size_phone=&#8221;14px&#8221; title_font_size_last_edited=&#8221;on|phone&#8221; border_width_all=&#8221;0px&#8221; border_color_all=&#8221;rgba(217,217,217,0.4)&#8221; border_width_bottom=&#8221;2px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p data-start=\"0\" data-end=\"658\">The future of PrecogsAI extends beyond infection prediction and treatment recommendations, evolving into a comprehensive AI-powered clinical decision support system. One of the most transformative additions will be an LLM-driven medical literature assistant, enabling clinicians to conversationally interact with peer-reviewed research in real time. By integrating a large language model (LLM) trained on the latest medical literature, clinical guidelines, and infectious disease research, PrecogsAI serves as an on-demand medical knowledge hub, helping providers make evidence-based, data-driven decisions at the bedside.<\/p>\n<p data-start=\"660\" data-end=\"756\">With this feature, clinicians will simply speak or type queries into the system, such as:<\/p>\n<ul data-start=\"757\" data-end=\"1048\">\n<li data-start=\"757\" data-end=\"854\"><em data-start=\"759\" data-end=\"852\">&#8220;What are the latest treatment guidelines for carbapenem-resistant bloodstream infections?&#8221;<\/em><\/li>\n<li data-start=\"855\" data-end=\"960\"><em data-start=\"857\" data-end=\"958\">&#8220;What does the literature say about using probiotics for C. diff prevention in high-risk patients?&#8221;<\/em><\/li>\n<li data-start=\"961\" data-end=\"1048\"><em data-start=\"963\" data-end=\"1046\">&#8220;Are there any recent studies on AI-driven antimicrobial stewardship strategies?&#8221;<\/em><\/li>\n<\/ul>\n<p data-start=\"1050\" data-end=\"1547\">The system would then synthesize responses from peer-reviewed journals, clinical trials, and guideline repositories (such as PubMed, JAMA, NEJM, and IDSA), providing concise, contextually relevant insights.<\/p>\n<p>[\/et_pb_toggle][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.16&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_button button_url=&#8221;@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybCIsInNldHRpbmdzIjp7fX0=@&#8221; button_text=&#8221;Ask a Different Question&#8221; button_alignment=&#8221;center&#8221; _builder_version=&#8221;4.27.4&#8243; _dynamic_attributes=&#8221;button_url&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;16px&#8221; button_text_color=&#8221;#ffffff&#8221; button_bg_color=&#8221;#091c4f&#8221; button_border_color=&#8221;rgba(0,0,0,0)&#8221; button_border_radius=&#8221;100px&#8221; button_letter_spacing=&#8221;2px&#8221; button_font=&#8221;Poppins|600|||||||&#8221; button_use_icon=&#8221;off&#8221; custom_padding=&#8221;16px|32px|16px|32px|true|true&#8221; box_shadow_style=&#8221;preset1&#8243; box_shadow_vertical=&#8221;20px&#8221; box_shadow_blur=&#8221;71px&#8221; box_shadow_spread=&#8221;-14px&#8221; box_shadow_color=&#8221;#091c4f&#8221; button_letter_spacing_hover=&#8221;2px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; button_text_size__hover_enabled=&#8221;off&#8221; button_one_text_size__hover_enabled=&#8221;off&#8221; button_two_text_size__hover_enabled=&#8221;off&#8221; button_text_color__hover_enabled=&#8221;off&#8221; button_one_text_color__hover_enabled=&#8221;off&#8221; button_two_text_color__hover_enabled=&#8221;off&#8221; button_border_width__hover_enabled=&#8221;off&#8221; button_one_border_width__hover_enabled=&#8221;off&#8221; button_two_border_width__hover_enabled=&#8221;off&#8221; button_border_color__hover_enabled=&#8221;off&#8221; button_one_border_color__hover_enabled=&#8221;off&#8221; button_two_border_color__hover_enabled=&#8221;off&#8221; button_border_radius__hover_enabled=&#8221;off&#8221; button_one_border_radius__hover_enabled=&#8221;off&#8221; button_two_border_radius__hover_enabled=&#8221;off&#8221; button_letter_spacing__hover_enabled=&#8221;on&#8221; button_letter_spacing__hover=&#8221;2px&#8221; button_one_letter_spacing__hover_enabled=&#8221;off&#8221; button_two_letter_spacing__hover_enabled=&#8221;off&#8221; button_bg_color__hover_enabled=&#8221;off&#8221; button_one_bg_color__hover_enabled=&#8221;off&#8221; button_two_bg_color__hover_enabled=&#8221;off&#8221;][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Contact Us Speak to us today to allow us help you and your patients.\u00a0 We understand HAI and infection control and specialise in the world\u2019s leading solution to tackle HAI before they happen &#8211; PrecogsAI! Email Send Us A MessageFAQ Frequently Asked QuestionsWe work with you to finance\u00a0PrecogsAI through the cost savings you will achieve [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-120","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/idlabs.health\/index.php?rest_route=\/wp\/v2\/pages\/120","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/idlabs.health\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/idlabs.health\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/idlabs.health\/index.php?rest_route=\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/idlabs.health\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=120"}],"version-history":[{"count":19,"href":"https:\/\/idlabs.health\/index.php?rest_route=\/wp\/v2\/pages\/120\/revisions"}],"predecessor-version":[{"id":304,"href":"https:\/\/idlabs.health\/index.php?rest_route=\/wp\/v2\/pages\/120\/revisions\/304"}],"wp:attachment":[{"href":"https:\/\/idlabs.health\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=120"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}