Clinical Data Warehousing

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Presentation transcript:

Clinical Data Warehousing LIS 4785 Introduction to Health Informatics Fall 2015, Week 7-1 Instructor: Dr. Sanghee Oh

Announcements Grading on midterm 1 is done! Students will have a chance to look at their exam papers today. Group project proposal Students will receive grades and feedback from the instructor by the end of this week. Each group will have a meeting with the instructor during class next Tuesday. Guest Lecture (Thursday) Dr. Zhe He Health data analysis

Wiki Term Postings (Due 10/29) Instructors’ feedback on your term selection is provided. Wiki term entries with students’ names are available in the healthinformatics.wikispace.com. If you’re asked to select the terms again, you need to email them to the instructor by the end of this week. If you do select an incorrect term and review it for your wiki-term posting. you will receive a penalty. Students need to use Turnitin Submission and check the originality of their postings prior to uploading their postings to the healthinformatics.wikispaces.com site.

Show and Tell Jared Cannon

Clinical Data Warehousing

Amazon.com Warehouse

Amazon.com Warehouse

Clinical Data Warehouse A shared database that collects, integrates, and stores clinical data from a variety of sources including electronic health records, radiology, and other information systems Clinical data repository

Clinical Data Warehouse Example http://www.fusionconsultinginc.com/healthcare/professional-services/fusion-datawarehouse/ Epic: Electronic Health Record software for mid-size and large medical groups, hospitals and integrated healthcare organizations. (http://www.epic.com/) Cerner: Cerner Corporation is a global supplier of health care information technology solutions, services, devices and hardware. Cerner solutions optimize processes for health care organizations McKesson Corporation: an American company distributing pharmaceuticals at a retailsale level and providing health information technology, medical supplies, and care management tools. (http://www.mckesson.com/) PeopleSoft: PeopleSoft, Inc. is a company that provides Human Resource Management Systems (HRMS), Financial Management Solutions (FMS), Supply Chain Management (SCM), Customer Relationship Management (CRM), and Enterprise Performance Management (EPM) software, as well as software for manufacturing, enterprise performance management, and student administration to large corporations, governments, and organizations. The PeopleSoft name and product line are now marketed by Oracle. AllScripts (Allscripts Healthcare Solutions, Inc.): A publicly traded American company that provides physician practices, hospitals, and other healthcare providers with practice management and electronic health record technology, including electronic prescribing, care management, and revenue cycle software. (http://www.allscripts.com/) LapCorp (Laboratory Corporation of America Holdings): An American S&P 500 company headquartered in Burlington, North Carolina, which operates the largest clinical laboratory networks in the world, with a United States network of 36 primary laboratories. (https://www.labcorp.com/) Snomed CT (SNOMED Clinical Terms): An extensive clinical terminology that was formed by the merger, expansion, and restructuring of SNOMED RT® (Reference Terminology) and the United Kingdom National Health Service (NHS) Clinical Terms (also known as the Read Codes). It is the most comprehensive clinical vocabulary available in English (or any language). SNOMED CT is concept-oriented and has an advanced structure that meets most accepted criteria for a well-formed, machine-readable terminology. It has been designated as a US standard for electronic health information exchange in Interoperability Specifications produced by the Healthcare Information Technology Standards Panel and has also been adopted for use by the US Federal Government, through the Consolidated Health Informatics (CHI) Initiative, for several clinical domains. (http://www.nlm.nih.gov/research/umls/Snomed/snomed_faq.html#what)

Why do we need CDWs? Healthcare data management & reporting challenges ___________________ Duplication of work Lack of trust of data Lack of communication Lack of adaptability Information exchange problems ______________________________________ Reporting methods are expensive and labor intensive

Electronic Health Records (EHRs) vs. CDWs Data from _____________ Focus on ____________ Store and retrieve ______________ of patients Update in ___________ Provide simple analysis or report in _______________ Support queries across _______ CDWs Data from _______________ Focus on ____________________ Store and retrieve records of ________________________, etc. Update ___________________ Provide __________________ and generate reports of the results of analytics Support queries about _________

Benefits of CDWs Better use of internal resources Reduction in critical time path for statistical analysis _________________ of data with company registered offices(CROs), partners and regulatory agencies Cross-trial analysis and leveraged use of historical data Globalization and knowledge sharing compliance with regulations

Challenges of CDWs Evolving standardization and integration Continuous technology improvement Critical clinical form design with balancing needs Sensitive clinical operation and process re-engineering Caution with edit check specifications to minimize bias