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Best Clinical Decision Support (CDS) Products

Best Clinical Decision Support (CDS) Products

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Clinical decision support systems can mitigate these, and other, risks associated with the complexity of clinical practice in the 21st century.

Healthcare organizations need to support their providers with guidance on disease and medication management, reminders, and appropriate alerts. The benefits include greater patient safety, cost containment, improved coding accuracy, better outcomes, as well as fewer unnecessary tests, medication, and diagnostic errors.

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    Clinical Decision Support (CDS): Products


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    Andor Health was born over 4 years ago with a single mission; to fundamentally change the way in which care teams, patients, and families connect and collaborate. By harnessing the latest innovations in OpenAI/GPT models, our cloud-based platform unlocks data stored in source systems - such as electronic medical records - to deliver real-time actionable intelligence to care teams within ubiquitous virtual collaboration platforms like Zoom. By perfecting communication workflows, our platform accelerates time to treatment, decreases clinician burnout, and drives better patient outcomes.  

    Healthcare institutions and providers use ThinkAndor® to enable providers to configure patient and clinician interactions with ubiquitous team collaboration platforms. This eliminates the need to manage added applications. ThinkAndor® enables a frictionless virtual interaction allowing physicians and patients to communicate without being distracted by disjointed technologies during a virtual consultation. 

    ThinkAndor is the only integrated virtual collaboration platform that can truly bring together all aspects of outpatient, inpatient, post-acute and at home virtual care collaboration through the 5 Pillars of Virtual Health: Virtual Visits, Virtual Hospital, Virtual Patient Monitoring & Care Management, Virtual Team Collaboration, and Virtual Community Collaboration. 

    Features include:

    • Virtual visits launched from the EHR
    • Voice-to-text clinical notes
    • Real-time alerts and notifications
    • Secure collaboration channels
    • ThinkAndor® AI Bot provides relevant content and clinical context to visits and care teams
    • Device-agnostic virtual rounding, nursing, sitting and remote consults to power the virtual hospital
    • Remote specialty consults such as Tele Stroke, Tele Psych, and Tele ICU
    • Access to a virtual on-demand network
    • Multi-room/patient virtual sitting for a variety of risk types
    • Virtual nursing to address staffing shortages

    In 2020, Microsoft M12 took an investment position in Andor Health and works very closely to optimize virtual interactions leveraging OpenAI and GPT. Since then, Andor Health has grown to serve over 70,000 providers and over 500 hospitals leveraging the Andor Health platform across the US, Canada, and UK. Orlando Health, Medical University of South Carolina, Tampa General Hospital, Yale New Haven, and the National Institutes of Health are among some of the most notable. You may find some of our most prestigious partners here, https://andorhealth.com/partners.html. 

    Most Importantly, Black Book has ranked Andor Health as the #1 Virtual Care Collaboration Solution with the Highest Client Satisfaction in 2023! Black Book Market Research used 18 key performance areas of operational excellence to rank Virtual Care Solutions vendors, and recognized Andor Health as the Highest in Client Satisfaction.  More importantly, Black Book reached out to nearly 1000 provider organizations, hospitals, and health systems to perform this independent market evaluation with Andor Health taking  #1 in 13/18 key performance indicators across all 5 pillars of virtual health & collaboration! This success is a proven indicator of Andor Health’s focus to empower clinicians and care teams with distinct, AI-powered virtual collaboration experiences. 

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    The Clinician Journey with Avo Assistant:

    • Reviews Patient Chart: Clinician reviews the patient chart prior to encounter, receiving an automated chart snapshot and best next step summary in the EHR based on the patient records and institutional guidelines.
    • Records Patient Conversation: Clinician meets with the patient and records the conversation on mobile using Avo’s scribe technology, or using existing ambient software. 
    • Generates Documentation: Clinician goes back to workstation and in one-click auto-generates documentation in any format, thanks to easy prompting available behind-the-scenes in Avo Builder.
    • Submits Orders and Billing Codes: Clinician uses Avo Pathway to check protocol for admitting this patient and pends orders based on the latest evidence. Clinician submits note with MEAT criteria for accurate billing. 
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    Clinicians can order, deliver, and monitor care from one unified platform within their current workflow. These include everything from connected devices to services including meal delivery and transportation, from patient education to surveys and PROs. Looking to alleviate the disparity in healthcare delivery while recognizing common technologies most people share, Xealth helps health systems make digital health a competitive asset.

    Xealth enables healthcare teams to order digital content and services as easily as they do medications today. Patients can then access these digital health prescriptions from the provider's portal, so that they can actively manage their health.

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    • Digital Pathways (Algorithms) and Calculators: Library of 150+ society and academic institutional guidelines digitized into an actionable format and 50+ top clinical calculators.
    • Knowledge Base: Information warehousing of your unique guidelines and protocols, customizable with Avo Builder.
    • Custom Builds: Transformation of your guidelines and protocols into actionable clinician tools by our informatics experts.
    • Analytics: Dashboards on algorithm and calculator usage to guide your education and adoption strategy.
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    • Create: Use Avo’s customizable templates, EHR data-pulling functionality, and AI features, to create tools that work for your organization in our "no code" Builder paltform with "drag and drop" functionality. 
    • Simulate: Enhance team collaboration and simplify the review process by verifying with your teammates in Avo Builder.
    • Publish: Provide instant access to your tools and make seamless updates as you receive feedback and as medical evidence evolves.
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    An automated Early Warning System that notifies clinicians about patients whose conditions may be worsening. Using artificial intelligence and other analytical techniques, it continuously analyzes maternal vital signs, fetal heart rate, contractions and labor progression. PeriWatch Vigilance provides 4 or 12 hour trended overviews and notifications for breached parameters. It automates the Oxytocin Checklist without requiring user input.This AI software solution can be used to help standardize clinical interpretation, within your unit and across any healthcare enterprise. As an early warning system, it can help clinicians intervene sooner, potentially improving clinical outcomes for moms and babies.
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    Patients placed in the wrong bed status with improper documentation results in massive revenue loss and patient dissatisfaction.

    Physicians can’t keep up with constantly changing criteria needed to admit patients to the hospital, and hospitals spend tons of money and resources fixing bed status issues retrospectively.

    AdmissionCare provides the admitting physician with automated admission criteria - such as MCG - integrated directly into the EHR workflow to help document medical necessity that increases payer reimbursements and reduce denials.

    How does it work?

    • Integrate into the clinician's EHR workflow
    • Determine the most appropriate bed status for each patient at admission
    • Synchronize payer criteria with the clinician's documentation
    • Collect revenue for the care provided, while avoiding costly denials
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    ReferralMD delivers proven solutions for Digital Front Door, eConsults, Referrals, Faxing and Marketing that help hospitals, health systems, networks, and payers streamline the referral process, decrease patient leakage, and improve communication between providers and patients. 

    >>> HOW WE HELP <<<

    Digital Front Door

    • Patient Access Tools
    • Patient Scheduling
    • SmartCHAT Patient Intake
    • Patient Communications

    eConsults & Referrals

    • Consult Management
    • Referral Management
    • Prior Authorizations
    • SmartFAX Management

    Marketing & Services

    • Marketing CRM
    • Advanced Analytics
    • Professional Services
    • SmartEXCHANGE Integrations

    >>> WHO WE HELP <<<

    Health Systems/ACOs/DSRIPs/CINs

    • Reducing patient leakage through SmartMatch decision support and real-time analytics
    • Standardizing and streamlining the referral management process across the organization
    • Driving operational efficiencies and allowing referral teams to scale more efficiently

    PCPs/FQHCs/Dental Practices

    • Matching patients with appropriate providers using SmartMatch decision support
    • Closing the feedback loop with specialists and reducing phone calls and faxes
    • Increasing patients LTV to ensure they are not lost to competitors after referrals are sent

    Specialty Care Organizations

    • Increasing referral volume and capturing more revenue using CRM and marketing tools
    • Improving customer service with referring providers through automated status reports
    • Managing referral network and gaining insight into referral patterns using analytics 
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    • eCART is a research-based, AI-driven software as a medical device (SaMD) that utilizes a machine learning algorithm to continuously assess hospitalized patients’ risk of impending death or intensive care unit (ICU) transfer, assisting medical staff in swift and accurate recognition of patients requiring increased medical attention. eCART draws upon readily available patient data from the EHR, rapidly quantifies disease severity, and predicts likelihood of critical illness onset, hours before it happens.
    • eCART received FDA 510(k) clearance in 2024, with clinical performance data of nearly two million hospitalizations from 21 hospitals, including an unprecedented level of real-world prospective data, to ensure consistent accuracy across geography, age, race, and top medical conditions (e.g. sepsis, COPD, heart failure). 
    • Built upon more than a decade of ongoing scientific research, eCART was developed at UChicago Medicine by Dr. Dana Edelson, MD, MS and Dr. Matthew Churpek, MD, PhD and is well chronicled in published literature. The analytic and workflow have been in use in clinical practice since 2016.
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    Doctors are driving without gauges and running on empty…

    Care variance and high costs are widespread, but doctors haven’t been given any tools to help them make better decisions.

    CareGauge gives physicians a real-time view of how their care decisions for a particular patient compare to locally benchmarked patients with that same condition.

    Physicians can see cost and care utilization insights on length of stay, imaging, labs, medications, procedures, and more to help them deliver the best care to their patients.

    How does it work?

    • Integrate seamlessly into your EHR
    • Source and analyze treatment and cost data from your facility
    • Present instant insight into care decisions
    • Empower physicians to provide the best value of care
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    Buyer's Guide


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    A Buyer's Guide to

    Clinical Decision Support

    What is clinical decision support (CDS)?
    Clinical decision support solutions encompass digital tools and systems that assist healthcare professionals in making clinical decisions for diagnosis, treatment, and management by providing them with evidence-based information, guidelines, and recommendations.

    Solution framework

    Point of care solutions
    Relevant information display - Ensure that the provider has a composition of up-to-date and necessary patient information and data in the form of direct summaries and insights to help make decision in providing care to the patient.
    Care recommendations - Prompts providers with next step recommendations based on patient findings, labs, interactions, and results.
    Documentation, billing, and coding support - Offer guidance, accuracy checks, and analytics to ensure precise documentation and improved billing and coding practices for revenue cycle management.
    Risk prediction - Forecast the likelihood of adverse events, complications, or safety incidents by identifying patients at elevated risk for adverse outcomes.
    Medication and dosing support - Inform clinicians about prescribing and medication dose adjustment based on patient-specific data, evidence-based guidelines, or pharmacogenomics.
    Care pathway and protocol - Ensure that the physician has the latest guidelines and protocols to decide on the next best step in the patient’s care


    Beyond the point of care solutions
    Care management - Support the provider in uncovering and addressing gaps and unmet needs in patient care through screenings and patient history analysis.
    Workflow support - Plan activity-based actions and the order in which care should occur based on specific events in the patient journey.
    Disease prediction - Forecast the likelihood of an individual developing specific diseases/conditions through patient history analysis and specific indications from their interactions and assessments.
    Intelligent diagnostics - Assist healthcare providers in diagnosing and interpreting medical conditions from labs and radiology readings more accurately and efficiently.

    The integration of advanced clinical decision support (CDS) tools is paramount not only for enhancing patient outcomes but also for optimizing operational efficiency. By leveraging real-time data and predictive analytics, CDS systems empower healthcare providers to make informed, evidence-based decisions that are crucial in today’s fast-paced medical environments. Investing in robust CDS can ensuring that clinical practices are proactive in their approach to patient care and also allow providers to practice at the top of their license.
    Amberly Diets
    —Amberly Diets
    Senior Director, Insights & Advisory

    The case for clinical decision support

    As healthcare systems face increasing challenges in providing high-quality care, addressing inefficiencies and costs, and tackling the effects of clinician burnout, clinical decision support systems offer promising solutions to address those challenges.
    Improve patient care, quality, and safety
    The healthcare industry today faces significant challenges in patient care, particularly in areas such as sepsis management and diagnostic accuracy. Sepsis alone accounts for 1 in 3 observed hospital mortalities and leads to $24B in annual costs for healthcare systems (Sepsis Alliance). Additionally, 10-30% of medical errors are related to diagnosis (Healthcare IT). These stark statistics underscore the urgent need for innovative solutions like clinical decision support to enhance patient care and outcomes. These solutions can offer providers up-to-date information to improve practice and patient care quality (EvidenceCare) (PubMed). They also provide evidence-based guidance, personalized treatment plans, and enhanced diagnostic accuracy (Folio3). As such, clinical decision support solutions can increase patient safety by reducing errors and adhering to clinical guidelines (NCBI1), overall reducing variation in care delivery. By leveraging clinical decision support, healthcare providers can make more informed decisions, leading to improved patient outcomes and a higher quality of care.
    Address healthcare inefficiencies and cost
    Healthcare is currently fraught with significant inefficiencies, with an estimated $750B in annual healthcare spending wasted on unnecessary services and diagnostic errors (PinnacleCare). Clinical decision support can help address these issues by increasing efficiency and compliance through the availability and recommendation of guidelines and regulations (NCBI2). It can also decrease costs by decreasing inpatient length of stay, suggesting cheaper medication alternatives, and reducing test duplication (NCBI1). These solutions also support clinical and diagnostic coding for administrative and revenue cycle management purposes. These improvements can lead to substantial cost savings and more efficient use of healthcare resources, benefiting both providers and patients.
    Enhance provider experience and efficacy
    Healthcare providers currently face increasing burnout, exacerbated by feelings of inability to provide high-quality care or make preventable errors. Excessive documentation requirements and administrative tasks are also major contributors to burnout (Healthcare IT News). Clinical decision support can help alleviate these issues by reducing cognitive load and streamlining workflows (Zynx Health). It facilitates coordination among multi-disciplinary teams through automated messages and reminders (NCBI3). Additionally, some clinical decision support systems help streamline documentation processes to reduce non-clinical workloads, overall improving the clinical care team experience when they are able to focus on providing care at the top of their license. By addressing these challenges, clinical decision support can improve provider satisfaction, potentially leading to better retention rates and overall healthcare quality.

    Key attributes of clinical decision support solutions

    Core clinical content
    • Content library — Off-the-shelf repository of clinical pathways and order sets
    • Evidence-based review — Ongoing, thorough review of the content library against the latest medical literature and evidence
    • Customization — Ability to update content to reflect local conditions, e.g. availability of supplies, practice patterns, workflows, clinician preferences
    • Continuity content sharing — Ability to draw on existing pathways, order sets, and best practices from other users of the platform
    Content development
    • Authorship tools — Tools that seamlessly enable the development of new pathways and the customization of existing ones
    • Governance tools — Functionality that supports governance and maintenance (e.g. permissions, approvals, updates) of clinical pathways
    • Care gap identification — Ability to draw on medical evidence and literature to identify and address gaps in current pathways and other sets
    Clinical pathway integration
    • EHR Integration — Ability to seamlessly integrate new pathways and updates to existing pathways with EHR workflows and leverage EHR data to inform triggers and alerts
    • Analytics & Reporting — Configurable analytics and reporting encompassing a broad range of categories and metrics (e.g. utilization/compliance, cost of care, outcomes)

    Organizing for success with clinical decision support

    To successfully implement clinical decision support, health systems must begin by defining their guiding principles. It’s crucial to prioritize physician involvement and autonomy while ensuring that the solution aligns with established clinical protocols. By keeping these factors in mind, health systems can effectively tailor their clinical decision support initiatives to meet the needs and preferences of doctors while enhancing patient care.
    1. Ensure physician involvement and leadership. Physicians are the primary users of clinical decision support solutions and influence the adoption and acceptance in daily practice. Their involvement helps in maintaining the right balance between customization and standardization of systems. Identify physician champions who can advocate for the system and provide valuable insights throughout the implementation process.

    2. Craft thoughtful messaging to promote adoption across the practice. Develop communication strategies that highlight how clinical decision support supports, rather than replaces, physician expertise. Many physicians worry that CDS will take away their autonomy. Address those concerns by focusing on how CDS can enhance clinical decision making and improve patient outcomes by offering suggestions and alternatives, ultimately leaving physicians with the autonomy to make the final decision.

    3. Align clinical decision support content with established clinical protocols. Review and ensure that the content provided by your clinical decision support vendor aligns with your organization’s clinical protocols and physician viewpoints. This may involve customizing the system to reflect local practices and preferences.

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