Penfield Virtual Hospital InContext. Denise Downs Director of Research & Enterprise. … And now for something completely different. Delivering Improved Health Care.
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Penfield Virtual HospitalInContext
Director of Research & Enterprise
Time based simulation
Penfield Virtual Hospital represents on a computer screen the week in the life in an acute hospital. Penfield is populated with real patients case notes drawn from the InContext project.
The case notes viewed through Penfield Virtual Hospital provide the individual Clinical Context to SNOMED concepts in support of Direct Care. Penfield Virtual Hospital provides the Service Delivery Context to support Indirect Care functions e.g. aggregation functionality, resource management, research, epidemiology, administration and management information etc.
Penfield has its own learning management system that enables multiple choice, list sort and essay type questions to be raised in the context of activity users are currently doing. Multiple choice and list sort questions are graded on submission with immediate feedback given to users.
The InContext web site contains 261 examples of real anonymised patients case notes drawn from a broad range of medical specialities including Med/surgical, Ophthalmic, ENT, Obstetrics and Gynaecology, Paediatrics, Mental Health, Learning Difficulties etc.
Case note collection process started in 2004 and continues year on year. Every year new case notes are collected and added to the web site; equal to at least 10% of total stock. In 2009 we aim to collect 26 new case files. This methodology ensures that the case files reflect changes to treatment modalities, drugs etc.
Each year we extend collections into new areas e.g. in 2009 We are extending into primary care areas.
Currently twenty-three UK, three Australian, one New Zealand, three Irish and one south African HE institutions subscribe to the InContext web site contributing 1936 individual registrants.
When combined the InContext case materials and Penfield Virtual Hospital provides an in depth patient data base broadly representative of medical specialities that can be exploited to support SNOMED training of clinicians.
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