Jens Meier1, Andreas Boehm2, Anne Kielhorn2, Andreas Dietz2, Stefan Bohn1, Thomas Neumuth3,4. 1. Innovation Center Computer Assisted Surgery (ICCAS), Universität Leipzig, Semmelweisstrasse 14, 04103 , Leipzig, Germany. 2. Department of ENT Surgery, University Medical Center Leipzig, Liebigstrasse 10-14, 04103 , Leipzig, Germany. 3. Innovation Center Computer Assisted Surgery (ICCAS), Universität Leipzig, Semmelweisstrasse 14, 04103 , Leipzig, Germany. thomas.neumuth@medizin.uni-leipzig.de. 4. Department of Electrical and Information Technology, Institute for Process Automation and Embedded Systems, University of Applied Sciences Leipzig, Leipzig, Germany. thomas.neumuth@medizin.uni-leipzig.de.
Abstract
OBJECTIVES: The management of patient-specific information is a challenging task for surgeons and physicians because existing clinical information systems are insufficiently integrated into daily clinical routine and contained information entities are distributed across different proprietary databases. Thus, existing information is hardly usable for further electronic processing, workflow support or clinical studies. METHODS: A Web-based clinical information system has been developed that automatically imports patient-specific information from different information systems. The system is tailored to the existing workflow for the treatment of patients with head and neck cancer. In this paper, the clinical assistance functions and a quantitative as well as a qualitative system evaluation are presented. RESULTS: The information system has been deployed at a clinical site and is in use in daily clinical routine. Two evaluation studies show that the information integration, the structured information presentation in the Web browser and the assistance functions improve the physician's workflow. The studies also show that the usage of the new information system does not impair the time physicians need for a process step compared with the usage of the existing information system. CONCLUSIONS: Information integration is crucial for efficient workflow support in the clinic. The central access to information within a modern and structured user interface saves valuable time for the physician. The comprehensive database allows an instant usage of the existing information clinical workflow support or the conduction of trial studies.
OBJECTIVES: The management of patient-specific information is a challenging task for surgeons and physicians because existing clinical information systems are insufficiently integrated into daily clinical routine and contained information entities are distributed across different proprietary databases. Thus, existing information is hardly usable for further electronic processing, workflow support or clinical studies. METHODS: A Web-based clinical information system has been developed that automatically imports patient-specific information from different information systems. The system is tailored to the existing workflow for the treatment of patients with head and neck cancer. In this paper, the clinical assistance functions and a quantitative as well as a qualitative system evaluation are presented. RESULTS: The information system has been deployed at a clinical site and is in use in daily clinical routine. Two evaluation studies show that the information integration, the structured information presentation in the Web browser and the assistance functions improve the physician's workflow. The studies also show that the usage of the new information system does not impair the time physicians need for a process step compared with the usage of the existing information system. CONCLUSIONS: Information integration is crucial for efficient workflow support in the clinic. The central access to information within a modern and structured user interface saves valuable time for the physician. The comprehensive database allows an instant usage of the existing information clinical workflow support or the conduction of trial studies.
Entities:
Keywords:
Clinical workflow assistance; Digital patient model; Electronic medical record; Electronic patient record; OncoControl
Authors: C J McDonald; J M Overhage; W M Tierney; P R Dexter; D K Martin; J G Suico; A Zafar; G Schadow; L Blevins; T Glazener; J Meeks-Johnson; L Lemmon; J Warvel; B Porterfield; J Warvel; P Cassidy; D Lindbergh; A Belsito; M Tucker; B Williams; C Wodniak Journal: Int J Med Inform Date: 1999-06 Impact factor: 4.046
Authors: Richard D Hammer; Donna Fowler; Lincoln R Sheets; Athanasios Siadimas; Chaohui Guo; Matthew S Prime Journal: JCO Clin Cancer Inform Date: 2020-08