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453 Sds Jobs - Page 19

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2 - 7 years

8 - 13 Lacs

Chennai, Navi Mumbai

Work from Office

Naukri logo

Need min 1.5 years of experience into surgery Coding/ Same day surgery Any graduate with Coding certification is eligible Shift type - 8 am to 5 pm (day shift) Location - Mumbai and Chennai (WFO Only) Salary - starts from 8 lpa plus incentives Preferred : Immediate joiners or 15-20 days notice is accepted If you are interested and eligible in this role then share your resume at 7744811049 HR Harsh

Posted 3 months ago

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5 - 10 years

10 - 15 Lacs

Chandigarh

Remote

Naukri logo

Responsible for assessing product compositions or chemical formulations, researching hazards& properties of the components & from that determine appropriate hazard assessment according to country/region, for preparation of MSDS. Required Candidate profile 5– 10 years prior MSDS authoring experience with reputed service providers or MNC chemicals manufacturing companies. working exp. required with global teams.

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0 - 3 years

2 - 5 Lacs

Hyderabad

Work from Office

Naukri logo

SUMMARY : The Medical Surgery Coder will play a key role in reviewing and analyzing medical billing and coding for processing. The Medical Surgery Coder will review and accurately code ambulatory surgical procedures for reimbursement. SPECIFIC KNOWLEDGE REQUIRED: Required certification in one of the following : CPC, RHIA, RHIT Minimum of 2 years acute care coding experience of all patient types Surgical, Outpatient, Inpatient, SDS and ER, with strong experience in Inpatient. Successful completion of formal education in basic ICD-9-CM/ICD-10/CPT coding, medical terminology, anatomy/physiology and disease process. Knowledge of computers and Windows-driven software Excellent command of written and spoken English Cooperative work attitude toward and with co-employees, management, patients, outside contacts Ability to promote favourable company image with patients, insurance companies, and public. Ability to solve problems associated with assigned task ADDITIONAL SKILLS REQUIRED/PREFERRED : Obtain operative reports Obtain implant invoices, implant logs, and pathology reports as applicable Supports the importance of accurate, complete and consistent coding practices to produce quality healthcare data. Adheres to the ICD-9/ICD-10 coding conventions, official coding guidelines approved by CPT, AMA, AAOS, and CCI. Uses skills and knowledge of the currently mandated coding and classification systems, and official resources to select the appropriate diagnostic and procedural codes. Assigns and reports the codes that are clearly supported by documentation in the health record. Consults physicians for clarification and additional documentation prior to code assignment when there is conflicting or ambiguous data in the health record. Strives for the optimal payment to which the facility is legally entitled. Assists and educates physicians and other clinicians by advocating proper documentation practices. Maintains and continually enhances coding skills. Coders need to be aware of changes in codes, guidelines, and regulations. They are required to maintain 90% or above coding accuracy average. Codes a minimum of 50 cases on a daily basis. Assures accurate operative reports by checking spelling, noting omissions and errors and returning to transcription for correction. Codes all third party carriers and self- pay cases equitably for patient services and supplies provided. Adheres to OIG guidelines which include: Diagnosis coding must be accurate and carried to the highest level of specificity. Claim forms will not be altered to obtain a higher amount. All coding will reflect accurately the services provided and cases reviewed for the possibility of unbundling , up-coding or down coding. Coders may be involved in denials of claims for coding issues. Some centers require a code disagree form be completed. Coders are required to provide their supporting documentation to be presented to the center for approval. (Surg Centers call this a coding variance) Ensures the coding site specifics are updated as needed for each center assigned. Identifies and tracks all cases that are not able to be billed due to lacking information such as operative notes, path reports, supply information etc. On a weekly/daily basis provide a documented request to the center requesting the information needed. Responsible for properly performing month end tasks within the established timeframe including running month end reports for each center assigned and tracking of cases that are not yet billed for the month. Cases will be reviewed as part of an in-house audit process to ensure quality and accuracy of claims. Corrections may be needed after review. Nothing in this job description restricts management s right to assign or reassign duties and responsibilities to this job at any time PHYSICAL REQUIREMENTS : Requires ability to use a telephone Requires ability to use a computer

Posted 3 months ago

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Exploring sds Jobs in India

The job market for sds (specific data science) roles in India is rapidly growing, with a high demand for skilled professionals in this field. sds professionals play a crucial role in analyzing data, deriving insights, and making data-driven decisions for businesses across various industries.

Top Hiring Locations in India

  1. Bangalore
  2. Mumbai
  3. Delhi
  4. Hyderabad
  5. Pune

Average Salary Range

The average salary range for sds professionals in India varies based on experience levels. Entry-level positions can expect a salary ranging from INR 4-6 lakhs per annum, while experienced professionals can earn between INR 12-20 lakhs per annum.

Career Path

Career progression in sds typically follows a path from Junior Data Analyst or Data Scientist to Senior Data Scientist, Data Science Manager, and eventually Chief Data Officer or similar executive roles.

Related Skills

In addition to sds expertise, professionals in this field are often expected to have knowledge or experience in programming languages like Python or R, statistical analysis, machine learning, data visualization tools, and domain knowledge in specific industries.

Interview Questions

  • What is the difference between supervised and unsupervised learning? (basic)
  • Can you explain the bias-variance tradeoff in machine learning? (medium)
  • How would you handle missing data in a dataset? (basic)
  • What is feature engineering, and why is it important in data science? (medium)
  • Explain the difference between overfitting and underfitting. (medium)
  • How do you assess the performance of a machine learning model? (basic)
  • What is cross-validation, and why is it important? (medium)
  • Can you explain the difference between L1 and L2 regularization? (medium)
  • How does a decision tree algorithm work? (basic)
  • What is the purpose of A/B testing in data science? (medium)
  • How would you handle imbalanced data in a classification problem? (medium)
  • What is the curse of dimensionality, and how does it affect machine learning models? (advanced)
  • Explain the concept of precision and recall in the context of binary classification. (medium)
  • How do you interpret the p-value in statistical hypothesis testing? (medium)
  • Can you explain the concept of clustering and provide an example algorithm? (medium)
  • What is the difference between classification and regression in machine learning? (basic)
  • How would you handle outliers in a dataset? (medium)
  • Explain the concept of gradient descent in the context of optimization algorithms. (medium)
  • What is the purpose of a confusion matrix in evaluating a classification model? (medium)
  • How do you handle multicollinearity in a regression analysis? (medium)
  • Can you explain the Bayes' theorem and its application in machine learning? (medium)
  • What is the difference between batch gradient descent and stochastic gradient descent? (medium)
  • How would you approach feature selection in a high-dimensional dataset? (medium)
  • Can you explain the difference between bagging and boosting in ensemble learning? (medium)
  • How do you stay updated with the latest trends and technologies in data science? (basic)

Closing Remark

As you prepare for sds roles in India, remember to not only focus on technical skills but also on showcasing your problem-solving abilities and domain knowledge. Stay curious, keep learning, and approach interviews with confidence. The growing demand for sds professionals in India presents a great opportunity for you to excel in your career. Good luck!

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