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Senior clinical tool specialist

2 months ago


India Cognitio Analytics Inc Full time

Job Description for Senior Clinical Tool Specialist You will assist and lead in the research, creation and development of Clinical Tools and Classification Systems such as groupers, classifiers, stagers, and patient segmentation. Work in a collaborative manner with support from data analyst to data scientist to ensure our clinical tools are world class and fit for the purposes of clinical risk management (ranging from cost containment to quality and clinical pathways).    Considerations Qualification - MBBS : Must have Physician : Must have Claims / Clinical sample Review & validation : Must have DRG/ groupers understanding & Output review : Must have Coding Certification, IF NOT THEN, multiple years of deep institutional or on-the-job coding experience, or be supported by a team of seasoned coding specialists. : Must have Microsoft apps - Excel and Power Point : Must have Coding Certification/accreditation : Nice to have JIRA and confluence : Nice to have Clinical data analysis/ Working with Data SMEs : Nice to have Core Responsibilities Include   How you would make a difference   Evaluate and recommend improvements to the current clinical tools include but not limited to diagnosis related groupers, disease episode groupers, patient risk scores, disease staging tools.  Evaluate and recommend improvements for relative indices such as risks scores, disease burden index and case mix that support our clinical tools.  Understand the final usage of the tools and recommend relevant insights for clinical tool evolution.  Provide clinical support in the analysis of claims data to derive actionable clinical insights.  Participate in the application of the tools in various business processes and engage with Customers to discuss the effective usage of clinical tools.  Create and assist in the development of Clinical Pathways for a range of products such as Condition Management, Hospital Optimization, Palliative Care, etc.  Review the clinical appropriateness of product designers.  Supporting clinical coding teams in the creation, update, and maintenance of clinical classifications  Research and develop/implement various clinical terminologies and ontologies (such as SNOMED-CT, LOINC, WHO ICD-10, ICD10 CM, ICD11, CPT, ATC etc.) for integration and enhancement for our clinical tooling  Behavioral Skills   What you need to be successful   Exceptional communication skills across a wide range of stakeholders  Ability to work cohesively in a team environment while balancing multiple priorities.  High level of attention to detail, resilience, enthusiasm, energy, and drive  Positive, can-do attitude focused on continuous improvement.  Ability to take feedback and constructive criticism to drive improved delivery.  Rigorous ability to problem-solve and optimize environment.  Excellent co-ordination skills    Technical understanding   Required   A working understanding of the clinical data used in healthcare is optimal as data forms the basis of our products, as such the following core understandings are required  Knowledge of healthcare specific data/ health Insurance claims is a must.  Reasonable competence in use of Microsoft Office suite of tools especially Excel, Access and Power Point  Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies, etc.  Knowledge of clinical tools and coding including coders, groupers, cross walks and classifications  Jira and Confluence Knowledge  Agile ways of working  Understanding of Tech Products Lifecycle  Strong DRG and Clinical Coding foundation  Databricks knowledge  Experience in clinical reviews for output sanity checks  Experience in Closed File Review for missed recovery/ prevent FWA opportunities.   Experience in working with Health Tech Team (Project Manager, Data Scientists, Data Analysts)  The Below Understandings Are Advantageous However Not Compulsory SQL, python, and advanced excel  Understanding of advanced statistics, risk adjustment and health outcome indices and metrics  Knowledge of usage of data science in the healthcare space  Experience in Microsoft Azure (Databricks, Synapse, Data Factory, etc.)  Qualifications   The following requirements are essential:  Physician/MBBS degree as a clinical qualification required. Medical degree with a minimum of 5 years of post-qualification experience.  Private health care experience would be an advantage.  Qualifications or training in Health informatics, clinical coding or Health Administration would be very helpful.