In healthcare, vulnerable populations that are using medications with a narrow therapeutic index and wide interpatient PK/PD (pharmacokinetic/pharmacodynamic modelling) variability are increasing. As such, variable dosage regimens may result in severe therapeutic failures or adverse drug reactions (ADR). Improved monitoring of patient response to medication and personalization of treatment is therefore warranted. Precision dosing aims to individualize drug regimens for each patient based on independent factors obtained from a patient’s clinical records. Personalization of dosing increases the accuracy and efficiency of medication delivery. This can be achieved through utilizing the wide range of Electronic Health Records (EHR) contain the patients’ medical history, diagnoses, laboratory test results, demographics, treatment plans, biomarker data; information that can be exploited to generate a patient-specific treatment regimen. For example, Fast Healthcare Interoperability Resources (FHIR) is an existing healthcare standard that provides a framework on which semantic exchange of meaningful clinical information can be developed such as using an ontology as a decision support tool to achieve precision medicine. The purpose of this thesis is to make an investigation of the feasibility of interoperability in EHR and propose an ontology framework for precision dosing using currently existing health standards. The methodology involved carrying out of semi-structured interviews from professionals in relevant areas of expertise and document analysis of already existent literature, a precision dosing ontology framework is developed. Results show key tenants for an ontology framework and drugs and their covariates. The thesis therefore advances to investigate how data requirements in EHR systems, IT platforms, implementation, and integration of Model Imposed Precision Dosing (MIPD) and recommendations have been evaluated to cater to interoperability. With modern healthcare striving for personalized healthcare, precision medicine would offer an improved therapeutic experience for a patient.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-279143 |
| Date | January 2020 |
| Creators | Mukwaya, Jovia Namugerwa |
| Publisher | KTH, Medicinteknik och hälsosystem |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | TRITA-CBH-GRU ; 2020:086 |
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