Achieving success with open source clinical decision support technology
Clinical decision support (CDS) is a top priority for many healthcare organizations, but it can be challenging to implement a solution that pulls together the massive amount of patient data available for actionable insights or at the point of care. Development and access to suggestions and reports must also be configurable by the clinician or caregiver with little or no intervention from the organization's IT department.
The clinical decision support engine, developed by Vipul Kashyap, can help identify clinical conditions along with their attributes (e.g., stage), and estimate risk factors (e.g., of readmission). The system, built on an open source architecture from Red Hat, uses decision model and notation (DMN), which enables clinical informaticists and business analysts to specify requirements and create executable CDS models.
Join our webinar where we’ll discuss:
- What open source CDS is and why it’s important.
- Challenges with other CDS tools.
- Best practices for developing and customizing recommendations for CDS.
- Achieving successful adoption rates.
Live-event date: Tuesday, December 11, 2018 | 1 p.m. ET
On-demand date: Available for one year afterward.
director, informatics and information architecture
Vipul Kashyap is a director of informatics and information architecture. He has 14+ years experience in informatics and information technology across telecommunications, healthcare, life sciences, and agriculture. He has held lead positions involving design, development, and architecture of various applications for knowledge management, data integration, business rules, business process and machine learning. Vipul's focus is on new emerging technologies such as decision modeling (DMN), blockchain, machine learning, and ontology management for healthcare.
chief technologist, Red Hat
Atif Chaughtai is the chief technologist of North America Healthcare at Red Hat. He brings 18+ years of experience in the field of information technology with a focus on healthcare and life sciences. At Red Hat, he works with customers to understand and align their needs with the Red Hat® portfolio. He works to understand customers’ emerging requirements and feedback to share with the product and engineering team. Atif is an active participant on various healthcare and life science standards committees.Prior to joining Red Hat, Atif was the enterprise architect at the National Institute of Health (NIH).