How Artificial Intelligence is elevating Outpatient Medical Coding Automation

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EZDI

• Transforming clinical data
• into actionable intelligence

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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.

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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. 

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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. 

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Benefits of AI in Outpatient Medical Coding
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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.

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Computer Assisted Coding (CAC)

• Computer Assisted Coding or CAC is an
  amalgamation of various features of AI and NLP.
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• 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.

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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.  

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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. 

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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.

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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.

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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.
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Contact Us

• Visit https//www.ezdi.com/
• Phone No. 8866408081
• Email team_at_ezDI.us
• Address 12806 Townepark Way Louisville United
  States Kentucky 40243