M.Cur. / During the time as an infection control professional, there was close contact with patients with Acquired Immunodeficiency Syndrome (AIDS). During this contact period many needs regarding health support were identified. Discrimination and the testing of patients for Human Immunodificiency virus anti·bodies (HIV) without their permission, were the main problem areas. The purpose of the study was to determine the nature and extent of comprehensive health care services for patients with AIDS. The research design is a contextual, exploring and descriptive study. This study was done in the Northern half of economic development area H where 16 health care services were identified. These include clinics, community hospitals, regional- and academic hospitals and the local authority clinic. Private hospitals were not included in the study. Criteria for the nature and extent of comprehensive health care services were based on literature studies. Data was collected by means of structured interviews with nursing professionals in the employ of identified services and patients making use of those services. The results of the research showed various needs in the nature and extent of the comprehensive health care services of the patients with AIDS In order to improve the health care services, recommendations were made and guidelines given to nursing professionals. Recommendations were also made regarding other aspects of the multi·disciplinary team approach. Based upon this study other topics were identified to enable the health care services to provide health care to the patient with AIDS.

Indiana University-Purdue University Indianapolis (IUPUI) / Polypharmacy is a general clinical practice, there is a high chance that multiple administered drugs will interfere with each other, such phenomenon is called drug-drug interaction (DDI). DDI occurs when drugs administered change each other's pharmacokinetic (PK) or pharmacodynamic (PD) response. DDIs in many ways affect the overall effectiveness of the drug or at some times pose a risk of serious side effects to the patients thus, it becomes very challenging to for the successful drug development and clinical patient care. Biomedical literature is rich source for in-vitro and in-vivo DDI reports and there is growing need to automated methods to extract the DDI related information from unstructured text. In this work we present an ontology (PK ontology), which defines annotation guidelines for annotation of PK DDI studies. Using the ontology we have put together a corpora of PK DDI studies, which serves as excellent resource for training machine learning, based DDI extraction algorithms. Finally we demonstrate the use of PK ontology and corpora for extracting PK DDIs from biomedical literature using machine learning algorithms.