How Artificial Intelligence is elevating Outpatient Medical Coding Automation - PowerPoint PPT Presentation

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How Artificial Intelligence is elevating Outpatient Medical Coding Automation

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Artificial Intelligence and Machine Learning algorithms are transforming every industry, and healthcare is not far behind. Healthcare organizations are effectively leveraging AI to allocate resources better, anticipate patient outcomes and effectively schedule personnel. – PowerPoint PPT presentation

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Title: How Artificial Intelligence is elevating Outpatient Medical Coding Automation


1
EZDI
  • Transforming clinical data
  • into actionable intelligence

2
How Artificial Intelligence is elevating
Outpatient Medical Coding Automation
  • Artificial Intelligence and Machine Learning
    algorithms are transforming every industry, and
    healthcare is not far behind.
  • Healthcare organizations are effectively
    leveraging AI to allocate resources better,
    anticipate patient outcomes and effectively
    schedule personnel.
  • Artificial Intelligence and Machine Learning help
    augment the ability of medical coders to code
    outpatient services efficiently and accurately.
  • They help coders to focus their time on complex
    tasks rather than coding simple charts.

3
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4
What is outpatient medical coding?
  • Medical coding, at a basic level, is a piece that
    a coder takes and translates into a numeric or
    alphanumeric coded format.
  • A patient who visits a medical practice or the ER
    and is undergoing treatment but is not admitted
    is considered an outpatient.
  • Outpatient medical coding focuses on the direct
    treatment offered to a patient on a single visit,
    typically a few hours.
  • Generally, outpatient care is for less than 24
    hours.
  • Outpatient coding used ICD-10-CM for diagnosis
    and reimbursement is primarily based on physician
    fees, insurance rates, ambulatory rates and so
    on. 

5
How does Artificial Intelligence help outpatient
medical coding?
  • There are several limitations in a manual
    outpatient coding process, such as reduced
    productivity, lower case review rates, and
    greater physician response time that reduces the
    reimbursement speed.
  • The DRG assignment is not optimized through
    manual coding and the staff will not be able to
    track queries effectively.
  • Artificial Intelligence is a powerful automation
    tool that can assist in addressing the
    shortcomings of the manual processes in
    outpatient coding.
  • This can help HIMs optimize the coding quality,
    ensure quick reimbursement, manage hospital
    finances better and improve patient care. 

6
Benefits of AI in Outpatient Medical Coding
7
Tailored Patient Care
  • AI analyzes the outpatient data collected from
    physicians records, diagnostic results, lab
    tests and compares them with medical protocols,
    recommendations, and clinical procedures. 
  • Through the results, medical staff can determine
    any additional tests required and the best course
    of treatment for the patient.
  • AI allows us to tailor medical solutions in
    outpatient care.

8
Computer Assisted Coding (CAC)
  • Computer Assisted Coding or CAC is an
    amalgamation of various features of AI and NLP.
  •  
  • AI-powered CAC software can scrutinize and
    interpret physician notes, assign modifiers,
    identify errors, and catch coding edits, freeing
    medical coders on other tasks.
  • Its dedicated algorithms can extract clinical
    facts and assign the appropriate E/M code.
  • Physicians need to no longer worry about
    identifying, extracting, and feeding it into the
    system.

9
Computer Assisted Physician Documentation (CAPD)
  • AI enabled CAPD added to EHRs (Electronic Health
    Records) helps medical staff to fix gaps in
    clinical data.
  • AI tools can review the documentation and guide
    the healthcare provider to correct the
    documentation to accurately reflect the patients
    condition.
  • AI technology can capture any specific conditions
    or comorbidities that may impact outpatient
    care.  

10
Real-time feedback
  • Real-time feedback helps coders improve faster.
  • Assume that a new coder makes a mistake in coding
    an outpatient chart.
  • His AI assistant will immediately flag the
    mistake, recommend a solution, and inform the
    coder of the repercussions of the change.
  • This way, the accuracy issue is caught the same
    day while the case is new and before it goes to
    billing. 

11
Improved Billing Procedures
  • AI technology allows medical billing staff to
    enhance the efficacy and efficiency of the
    outpatient coding and billing process.
  • Many companies are adopting AI applications to
    simplify manual coding labor.
  • Apart from processing codes and huge data
    volumes, AI can considerably reduce working hours
    and human error.

12
Interaction analysis
  • Interaction analysis systems for outpatient care
    are typically done manually.
  • These turn out to be laborious, time-consuming,
    and expensive.
  • Artificial Intelligences computerized algorithms
    can make this process more cost-effective and
    easier.
  • The technology also allows us to explore beyond
    the established boundaries of patient-physician
    communication.

13
On a large scale, AI/ML solutions can pinpoint
common mistakes in outpatient medical coding,
tighten the floodgates against coding errors, and
improve documentation. Through real-time
feedback, coders can enhance their skills.
Top-tier coders can focus their attention on
complex cases rather than routine menial tasks.
14
Contact Us
  • Visit https//www.ezdi.com/
  • Phone No. 8866408081
  • Email team_at_ezDI.us
  • Address 12806 Townepark Way Louisville United
    States Kentucky 40243
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