{"id":36733,"date":"2025-07-08T06:08:13","date_gmt":"2025-07-08T06:08:13","guid":{"rendered":""},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-30T00:00:00","slug":"how-customizable-ai-solutions-like-ask-avo-are-revolutionizing-patient-care-and-clinician-workflow-1535511","status":"publish","type":"post","link":"https:\/\/www.simbo.ai\/blog\/how-customizable-ai-solutions-like-ask-avo-are-revolutionizing-patient-care-and-clinician-workflow-1535511\/","title":{"rendered":"How Customizable AI Solutions Like Ask Avo Are Revolutionizing Patient Care and Clinician Workflow"},"content":{"rendered":"

In recent years, healthcare has started using Electronic Health Records a lot. By 2014, over 90 percent of U.S. hospitals had EHRs because of laws like the HITECH Act.
Even so, clinicians still have to handle a lot of patient data, follow complex care rules, and do many administrative tasks.
The U.S. expects a shortage of 86,000 clinicians by 2036. Also, more people are getting older than before, which means more care is needed.
Clinicians spend much time on charting, writing notes, and using EHRs, instead of seeing patients.
This causes burnout and less time for patient care.
Medical administrators and IT managers want ways to make work easier without making systems more complicated.
AI can help by doing routine tasks automatically and giving decision help during regular workflows.<\/p>\n

What Is Ask Avo?<\/h2>\n

Ask Avo is an AI tool that works inside EHR systems. It helps clinicians by answering hard clinical questions and doing routine jobs automatically.
It is not like general AI tools because it fits well with common EHR platforms like Epic and athenaOne\u00ae, and it plans to work with Cerner by the end of 2024.
With this, clinicians can see patient info and advice right where they care for patients without switching systems.
Ask Avo uses patient data from all over the country and updated clinical rules.
It can help with things like preparing charts before visits, writing notes, entering orders, and checking for care gaps.
These features ease the mental load on clinicians and help follow local and hospital rules by letting health systems change answers to match their guidelines.<\/p>\n

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AI Call Assistant Skips Data Entry<\/h4>\n

SimboConnect extracts insurance details from SMS images – auto-fills EHR fields.<\/p>\n

Book Your Free Consultation \u2192<\/a>\n<\/div>\n

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Customization: A Key Factor for Success<\/h2>\n

One main reason Ask Avo is popular is because it can be customized a lot. This is important to healthcare administrators and IT leaders.
Many AI tools fail since they give the same answers everywhere and do not consider different hospital rules, care standards, or EHR differences.
Ask Avo allows organizations to add their own practice rules without much IT help.
This makes it more useful for many types of healthcare settings.
Customization also helps clinicians trust the AI advice.
They can see where the AI got its info and check facts through “AI fact-check” features.
In a study, Ask Avo was trusted and seen as more useful 33% more than ChatGPT 4.0.<\/p>\n

Impact on Patient Care Quality<\/h2>\n

Ask Avo helps improve patient care by standardizing advice and cutting unnecessary referrals.
Some early users like SUNY Downstate Medical Center and Driscoll Children\u2019s Hospital say it gives better access to important info right at the bedside.
David Berger, M.D., CEO at University Hospital at Downstate, said Ask Avo could “change how clinicians get evidence at the bedside.”
The tool helps providers find care gaps and manage chronic disease guidelines better.
With quick access to advice based on evidence, clinicians can make better choices, avoid mistakes, and reduce differences in care.
Also, by automating routine chores, clinicians have more time with patients, which improves patient experience.<\/p>\n

Effects on Clinician Workflow and Burnout<\/h2>\n

Clinician burnout is a big problem that affects staff retention, patient safety, and costs.
Ask Avo helps by lowering the amount of documentation and other long tasks.
Downstate Health Sciences University said clinicians felt better and worked faster after using Avo\u2019s AI Scribe tool, which writes notes during patient visits.
One clinician said, \u201cI would quit if the organization got rid of its AI scribing capabilities,\u201d showing how important this help is.
Others also said they spend less time on paperwork and more time on clinical work.
This helps medical administrators by lowering staff turnover and reducing overtime or temporary staffing.
IT managers like that Ask Avo fits smoothly into existing workflows, which means less disruption and higher user acceptance.<\/p>\n

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After-hours On-call Holiday Mode Automation<\/h4>\n

SimboConnect AI Phone Agent auto-switches to after-hours workflows during closures.<\/p>\n

Let\u2019s Make It Happen <\/a>\n <\/div>\n<\/div>\n

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AI and Workflow Automation in Clinical Settings<\/h2>\n

AI helps automate office and clinical tasks, which are often hard for practice management.
Ask Avo leads in this by preparing charts before visits and writing notes during appointments.
This lowers clerical work, keeps records accurate, and supports billing and legal needs.
It works with EHRs like Epic and athenaOne\u00ae to read both typed fields and notes.
It checks data live to help decisions, points out missing care, suggests tests and treatments, and makes order entry easier based on patient data and clinical rules.
This saves time and cuts down errors.
It also makes operations smoother because fewer mistakes happen in charting, orders, or scheduling.
PM Pediatric Care, a pediatric urgent care, said they cut staffing costs by 71% after using AI tools like Ask Avo.<\/p>\n

Technology Integration and Security<\/h2>\n

Hospital administrators and IT managers must balance benefits with risks like data security and system compatibility.
Ask Avo meets SOC 2 Type II standards, showing it follows strict data safety rules to protect patient info.
The platform also works with many big EHR vendors, so it is easier to adopt.
It is already used in different healthcare groups like SUNY Downstate, Harbor Health, NeighborHealth, MSU Health Care, and Ozarks Healthcare.
This shows Ask Avo can fit many practices across the U.S.<\/p>\n

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HIPAA-Compliant Voice AI Agents<\/h4>\n

SimboConnect AI Phone Agent encrypts every call end-to-end – zero compliance worries.<\/p>\n

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\n Let\u2019s Chat \u2192<\/a>\n <\/div>\n<\/div>\n

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Adoption Trends and Recognition<\/h2>\n

Healthcare is spending a lot on AI, with $5.7 billion used in the first half of 2024.
Both startups and older companies focus on AI that helps decisions and automates work.
Ask Avo has been included in awards like the 2025 MedTech Breakthrough Award for Best Health Network Technology Implementation.
Groups like the New York Digital Health 100 and the AVIA Marketplace list Ask Avo among the top AI companies.
This shows customizable AI consult tools are becoming common in healthcare.<\/p>\n

Challenges and Clinician Acceptance<\/h2>\n

Using AI in healthcare is not without hurdles.
Many clinicians are skeptical and worry about AI\u2019s accuracy and how it affects their control.
Ask Avo helps with this by showing clear sources and letting hospitals customize it.
This gives clinicians more control and trust.
IT managers can help by training staff and showing that AI tools support, not replace, clinical judgment.
Early use in places like SUNY Downstate and Driscoll Children\u2019s Hospital shows AI can be added without disturbing care.<\/p>\n

Final Thoughts for Medical Practice Administrators and IT Managers<\/h2>\n

For medical administrators and IT managers in the U.S., customizable AI tools like Ask Avo offer a practical way to improve clinician workflows and patient care.
As healthcare faces current and future demands, using AI inside existing EHRs can reduce paperwork, cut costs, and make providers happier.
There is growing proof that AI helps clinician well-being and saves money.
Healthcare leaders should think about adding AI consult tools to their digital health plans.
Planning integration, involving staff, and choosing vendors that allow customization and meet security rules are key to success.
Investing in AI is not just about keeping up with technology but solving real problems in everyday clinical work.
Tools like Ask Avo show how smart AI can make healthcare work better and safer for a long time.<\/p>\n

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Frequently Asked Questions<\/h2>\n
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\nWhat is Ask Avo?<\/summary>\n
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Ask Avo is a customizable AI consult tool that integrates into Electronic Health Records (EHR) systems, helping clinicians receive real-time recommendations and automate tasks using patient data and clinical guidelines.<\/p>\n<\/p><\/div>\n<\/details>\n

\nHow does Ask Avo assist clinicians?<\/summary>\n
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Ask Avo acts as a ‘digital front door’, allowing clinicians to access patient chart summaries, care gap analyses, and order placements quickly, enhancing efficiency and improving patient outcomes.<\/p>\n<\/p><\/div>\n<\/details>\n

\nWhat makes Ask Avo different from other AI tools?<\/summary>\n
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Unlike conventional AI consult tools, Ask Avo is EHR integrated, customizable, and designed for actionability, enabling healthcare systems to personalize responses based on local guidelines and patient needs.<\/p>\n<\/p><\/div>\n<\/details>\n

\nWhat are the integration capabilities of Ask Avo?<\/summary>\n
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Ask Avo currently integrates with Epic and Athena EHR systems, with a Cerner integration expected by the end of 2024, allowing seamless access to relevant patient data.<\/p>\n<\/p><\/div>\n<\/details>\n

\nHow does Ask Avo ensure trustworthy responses?<\/summary>\n
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Ask Avo employs a proprietary questioning system that triple verifies responses against trusted guidelines while giving clinicians visibility and control over the sources referenced.<\/p>\n<\/p><\/div>\n<\/details>\n

\nWhat was the recent study’s outcome comparing Ask Avo and ChatGPT?<\/summary>\n
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In a study, Ask Avo outperformed ChatGPT on trustworthiness, actionability, relevancy, comprehensiveness, and format-friendliness by an average of 33% across all criteria.<\/p>\n<\/p><\/div>\n<\/details>\n

\nHow does Ask Avo address clinician skepticism regarding AI?<\/summary>\n
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Ask Avo aims to alleviate skepticism by integrating into EHR systems, being customizable, and ensuring trustworthiness through transparent sourcing of information.<\/p>\n<\/p><\/div>\n<\/details>\n

\nWho are the early adopters of Ask Avo?<\/summary>\n
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Early adopters of Ask Avo include SUNY Downstate Medical Center, Driscoll Children’s Hospital, Harbor Health, and NeighborHealth, all seeking to improve clinical workflows.<\/p>\n<\/p><\/div>\n<\/details>\n

\nWhat issues with existing AI tools does Ask Avo resolve?<\/summary>\n
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Ask Avo addresses common shortcomings such as lack of EHR integration, one-size-fits-all solutions, and untrustworthy outputs by providing a customizable, accurate AI tool.<\/p>\n<\/p><\/div>\n<\/details>\n

\nWhat are the core functionalities of Ask Avo?<\/summary>\n
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Ask Avo enables automated routine tasks like pre-charting and documentation while providing actionable insights based on clinical guidelines and real-time patient data.<\/p>\n<\/p><\/div>\n<\/details><\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"

In recent years, healthcare has started using Electronic Health Records a lot. By 2014, over 90 percent of U.S. hospitals had EHRs because of laws like the HITECH Act.Even so, clinicians still have to handle a lot of patient data, follow complex care rules, and do many administrative tasks.The U.S. expects a shortage of 86,000 […]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-36733","post","type-post","status-publish","format-standard","hentry"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/36733","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/comments?post=36733"}],"version-history":[{"count":0,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/36733\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/media?parent=36733"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/categories?post=36733"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/tags?post=36733"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}