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Best Digitally-Assisted Provider Documentation Products

Best Digitally-Assisted Provider Documentation Products

Digitally-Assisted Provider Documentation has been proven to dramatically reduce the time for physician documentation. Documented results from a $2B health system found that implementation of a CAPD system reduced their transcription costs by 69%, which saved them $3M in one year.

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Digitally-Assisted Provider Documentation: Products


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AI to review all patient data, ensure diagnoses are not missed, and automating note-writing.

Regard uses proprietary algorithms to automatically diagnose and document conditions on behalf of inpatient providers. These automatically-generated notes save providers time, reduce coding queries, and have a dramatic impact to hospital finances.

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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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Access & Scheduling
Intake & Virtual Waiting Room
Virtual Encounter
Diagnosis & Documentation
Billing, Orders, & Follow Up
Technical Support
Flexible Staffing
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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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Contextual understanding
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Naturalistic interaction
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Conveyor AI is the cure for "Documentitis" - inflammation caused by burdensome documentation requirements imposed by EMRs, billing systems, etc.

Here's how it works:

  1. See your patient - with Conveyor AI enabled on your iOS device, tap “Start Encounter.” You can conduct your exam without worrying about taking notes or updating the EMR.
  2. Conclude the visit - After completing your encounter, tap the “Generate” button in the Conveyor AI app. In under a minute, you’ll have a fully-customized write-up of your encounter. No typing necessary! Do you need specific sections or formatting in your notes? Conveyor AI offers customizable templates so that we generate exactly the information you need.
  3. Close your charts 80% faster - Conveyor AI types your completed note directly into the patient’s chart in your EMR. Need to add anything? Conveyor AI offers best-in-class medical dictation so that you can dictate wherever you want and whenever you need.

Start a Free Trial: https://mobius.md/ios

Discover more here: https://mobius.md/conveyor%20ai/

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DeepScribe’s AI scribe automates medical documentation for doctors. Powered by the largest clinical dataset in healthcare, DeepScribe ambiently captures patient visits as they happen and then writes complete, billable documentation directly within a clinician’s electronic health record system. From small private practices to large healthcare organizations, DeepScribe is helping clinicians of all kinds reduce burnout, improve patient care, and increase revenue.

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product capabilities
Contextual understanding
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Naturalistic interaction
Scalability
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Ambience Healthcare’s AI technology for scribing, coding, referrals, and patient summaries has been deployed at health systems such as UCSF Health, St. Luke’s Health System, John Muir Health, and Memorial Hermann Health System. Ambience is the only AI scribing and coding solution designed to support 100+ specialties and subspecialties, and is directly integrated with Epic, Cerner, athenahealth, and other leading EHRs. 

 

By partnering with Ambience, healthcare systems reduce documentation time by an average of 80%, improve clinical documentation integrity, and achieve at least a 5X return on investment with more accurate E&M coding. Ambience is also the only AI solution that provides clinicians with AI-assisted CDI support. Ambience surfaces precise diagnosis codes for clinicians to review based on patient conversations, then structures documentation to support selected codes. 

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Producing documentation for billing, QA, patients, and care communication is a significant burden on clinicians, requiring hours away from patient care and negatively impacting patient experience and outcomes. 

Playback Health’s mission is to alleviate this burden through advanced AI technology. As the leading care-forward, cost-effective AI medical scribe and patient engagement platform, Playback is designed by clinicians for clinicians. Its unified communication suite empowers healthcare professionals to focus more on patient care and reclaim quality time in their lives. Playback ambient listening and AI features capture provider conversations and seamlessly generate notes, orders, assessments, and other essential documentation, saving hours every day. Clinicians can effortlessly share vital care information with patients and families, significantly reducing communication burdens and enhancing the patient experience. 

Playback Health allows clinical care teams to be more connected and engaged in their patients' care journey, while helping patients and families better understand their care.

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Leading Health System
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Augmedix empowers clinicians to connect with patients by liberating them from administrative burden through the power of ambient AI, data, and trust. The platform transforms natural conversations into organized medical notes, structured data, and point-of-care notifications that enhance efficiency and clinical decision support. Incorporating data from millions of interactions across all care settings, Augmedix collaborates with hospitals and health systems to improve clinical, operational, and financial outcomes.

Augmedix’s solutions include: 

  • Medical documentation – Augmedix provides industry-leading, ambient AI medical documentation technology with ambient clinical intelligence that alleviates administrative burden and gives doctors more time to focus on patient care. Augmedix’s products extract data from natural clinician-patient conversations and convert the data in real time to medical notes, which are seamlessly transferred to the EHR. 
  • Point-of-care notifications – Augmedix's technology delivers point-of-care notifications in real time, enhancing patient care and physician efficiency by providing vital data during patient visits. This eliminates the need for manual data searches and helps avoid medical errors due to missing patient information. Available in both fast-paced environments like emergency departments and ambulatory care settings alike, the system pushes reminders for lab orders and medication prescriptions, prompts for available test results, and authorization and referral alerts, among other clinical decision support tools.
  • Structured data – Augmedix’s ability to transform unstructured data into structured data is significant to creating a medical note and also invaluable to health systems to identify trends and correlations and glean actionable insights. Augmedix can extract structured data from physician-patient interactions and upload it directly to the health system’s data lake. This powerful asset can provide health systems with insights into population studies, workflow efficiencies, clinical outcomes, reimbursement issues, and readmissions data, among others.
  • Open ecosystem – Augmedix offers an open ecosystem of digital health solutions that integrates partners into its technology through application programming interfaces (API), structured data, and its point-of-care notifications channel. This allows health systems to tackle a broad spectrum of administrative burden, improving operations and physician and patient experiences.
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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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LookDeep is revolutionizing telemedicine by using advanced computer vision and AI technology to help hospitals continuously monitor all patients through VisionAI™. Our pioneering zero-cost hardware model and modern, SOC2-certified software dramatically drive down the cost of inpatient video – enabling hospital-wide deployments supported by a virtual care center. AI-powered video monitoring helps tackle critical issues such as patient safety, room conditions, movement and mobility, and patient location and recovery. With LookDeep, hospitals can be present for every patient at every moment. Learn more at www.lookdeep.health.com.

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Virtual Encounter
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Analytics
Diagnosis & Documentation
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AVIA Marketplace offers a product grid that is a comprehensive resource for health care buyers in their research journey. The grid showcases products from leading vendors and ranks them based on compatibility level and market presence. This approach ensures that the products listed are not only relevant to the buyer's needs but also established in the market. With AVIA Marketplace's product grid, health care buyers can make informed decisions and select products that meet their specific requirements.

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Buyer's Guide


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A Buyer's Guide to

Digitally-Assisted Provider Documentation

What is digitally-assisted provider documentation?

Digitally-assisted provider documentation solutions leverage artificial intelligence (AI) and other advanced technologies to deliver real-time support during the documentation process in order to reduce care team burden, improve clinical documentation quality at the point of care, avoid common deficiencies, and ensure accurate coding.
The vendor landscape encompasses a broad array of solutions with varying levels of human involvement, from traditional in-person scribes to manually document encounters to fully automated AI-driven documentation solutions. Vendors and solutions exist within four overlapping sub-categories:
  1. Traditional in-person scribe services. These companies provide medical scribes to document clinical encounters, transcribe dictation, and assist with patient throughput. Providers can easily customize documentation to their preferences.

  2. Virtual/remote scribe solutions. Virtual solutions securely connect providers with remote scribes during clinical encounters to complete EHR documentation in real time.

  3. Tech-Enabled Human (HITL). Human in the loop (HITL) solutions assist users with tools such as real-time clinical support, natural language processing, and ambient clinical documentation. Providers initiate encounters and some customization options may be available.

  4. Intelligent Documentation (HOTL). Human out of the loop (HOTL) solutions capture clinical conversations to generate real-time notes within the EHR. HOTL solutions are entirely tech-driven, with no human involvement and minimal or no customization options.

Recent breakthroughs in artificial intelligence have already fueled a wave of new healthcare-grade products, and speed to adoption will continue to increase. But AI will never replace humans in healthcare-it lacks our capacity for critical thinking, empathy, and creative problem-solving. Its real value comes from its ability to reduce burdens, find and analyze information, and augment the provider experience.
Josh Hjelmstad
—Josh Hjelmstad
Senior Manager, Center for Operational Transformation, AVIA

The case for digitally-assisted provider documentation

Physician burnout is a serious problem, and EHR documentation deserves a large chunk of the blame.1 One 2016 study found that physicians across multiple specialties spent 37 percent of each patient visit on EHR tasks, with an additional two hours devoted to EHR tasks each evening.2 Another study estimated that U.S. physicians spent approximately 125 million hours on documentation outside of normal office hours in 2019.3 This heavy documentation burden is also linked to increased errors, less time for meaningful interactions with patients, and job dissatisfaction.4
While human scribes can improve efficiency and make provider workloads more manageable, the traditional on-site scribe is increasingly viewed as a human band-aid for a larger informatics problem. And for some organizations, the disadvantages of human scribes (which include frequent turnover, higher labor costs compared to digital, and widely variable skills) outweigh the benefits.
Digital health companies have placed their bets squarely on AI as the most viable path forward. Even the most sophisticated tech-enabled human (HITL) solutions have required some level of human-led quality assurance, which incurred additional turnaround time and forced providers to complete documentation outside of clinic time. But with recent AI breakthroughs, the most advanced intelligent documentation solutions bypass human involvement in the documentation process and decrease average turnaround time-usually four to 24 hours-down to about 10 seconds.

Value for investment

Average annual costs vary and account for scribe or solution-related fees and physician labor costs related to usage.5
Traditional in-person scribes Virtual/remote scribes Tech-enabled humans Intelligent documentation
Annual scribe/solution cost $40,000 $35,000 $20,000 $10,000
Provider time (estimated value)* $15,000 $15,000 $22,000 $29,000
Total investment $55,000 $50,000 $42,000 $39,000
Reduction in documentation burden (est.) 90% 80% 60% 50%
*Approximate value of provider time for each solution
These investments are modest compared to the costs associated with physician burnout and turnover. Physician recruitment and training costs can range from $250,000 to $1 million,6 depending on specialty, and physician vacancies can incur revenue losses of $130,000 to $150,000 per month.7 Physician burnout can also lower productivity and is associated with more errors. On top of the potential cost control benefits, digitally-assisted provider documentation solutions can drive additional revenue and provide necessary support to the human workforce.
Financial gains
  • Improved physician productivity: Approximately $30,000 per year for a single additional patient appointment each day (assuming $125 reimbursement)
  • Reduced medical coding expenses
  • Quicker and more accurate reimbursements
Non-financial gains
  • Decreased documentation burden
  • Less after-hours “pajama time”
  • Improved patient experience
  • Improved access with incremental visits

Key attributes of digitally-assisted documentation solutions

New and future digitally-assisted documentation solutions will continue to leverage AI and reduce provider burden to the greatest possible extent. The best solutions digital solutions will include:
Workflow enhancement: Solutions should streamline and simplify clinical and coding workflows while improving documentation quality.
Coding recommendations: Automated coding tools should generate codes directly from clinical documentation, provide real-time guidance, and flag inconsistencies.
Diagnosis recommendations: Solutions should reduce physician cognitive load with real-time clinical decision support.
Ordering and referrals: Intelligent ordering and referral input tools within the streamlined workflow.
Patient education: Real-time patient education recommendations during clinical conversations and simplified ordering/assignment.

Organizing for success with digitally-assisted provider documentation

What health systems should consider as they assess their needs and investigate digital documentation solutions:
  • Determine an appropriate strategy for the enterprise: a single one size fits all solution for all providers, or a hybrid/platform approach with multiple digital documentation support modalities to support individual providers and specialties.
  • Carefully design pilots to understand impact and workflow, and test the validity of the business case. Pilots should be targeted to provider groups that will demonstrate solution impact compared to baseline.
  • Identify provider expectations for documentation support, such as work relative value units, encounter close rate, patient satisfaction, or other considerations.
  • Build a framework for long-term success that includes scribe governance, key performance indicators, and periodic provider utilization and performance review.
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