Improving Communication in Risk Management of Health Information Technology Systems by means of Medical Text Simplification Health Information Technology Systems (HITS) are increasingly used to improve the quality of patient care while reducing costs. These systems have been developed in response to the changing models of care to an ongoing relationship between patient and care team, supported by the use of technology due to the increased instance of chronic disease. However, the use of HITS may increase the risk to patient safety and security. While standards can be used to address and manage these risks, significant communication problems exist between experts working in different departments. These departments operate in silos often leading to communication breakdowns. For example, risk management stakeholders who are not clinicians may struggle to understand, define and manage risks associated with these systems when talking to medical professionals as they do not understand medical terminology or the associated care processes. In order to overcome this communication problem, we propose the use of the xe2x80x9cThree Amigosxe2x80x9d approach together with the use of the SIMPLE tool that has been developed to assist patients in understanding medical terms. This paper examines how the xe2x80x9cThree Amigosxe2x80x9d approach and the SIMPLE tool can be used to improve estimation of severity of risk by nonclinical risk management stakeholders and provides a practical example of their use in a ten step risk management process.

Towards the Development of a Web Support System for Improving Accuracy in Coding Discharge Diagnosis The practice of coding morbidity data using international standard diagnostic classifications has become increasingly important and recognized as a difficult and timeconsuming task. Clinical codersphysicians assign codes to each patient episode based on their interpretation of the available case notes or the electronic patient record systems. Therefore, accurate coding depends on the legibility of the case notes and on the codersxe2x80x98 understanding of medical terminology. Several studies have indicated poor reproducibility of clinical coding. To support physicians, in the coding of diagnoses and procedures using ICD 9th revision, Clinical Modifications (ICD9CM), and in identifying the main condition to be filled in Hospital Discharge Records, the SISCO.web service is proposed. The service has the aim of improving the accuracy of coding by using the combination of NLP algorithms, controlled vocabularies mapped to ICD9CM, as well as codingrules and a decision trees for the identification of the main condition.