Personalized interpretation of laboratory test results and vital signs
Abstract/Contents
- Abstract
- The field of medicine today depends on normal ranges and thresholds to aid in in- terpretation of medical data. These ranges or thresholds define the test result or measurement that is expected in a healthy patient. Unfortunately, patient charac- teristics such as sex, ethnicity, and medical history are often not incorporated into these ranges and thresholds. Considering these data in interpretation of medical data is important to ensure that the decisions made are optimal for the patient. More specifically, it is important that laboratory test results are interpreted using refer- ence intervals that are based on data from similar patients. Similarly, interpretation of vital signs data should include consideration of what is normal for the patient of interest. In this dissertation I present methods for calculating laboratory reference intervals from results recorded in the electronic medical record during the normal course of care, enabling development of reference intervals that are tailored for pa- tient populations. I also present methods for choosing appropriate vital sign alarm thresholds for pediatric populations, and for individual pediatric patients. I introduce a method for labelling historic alarms as meaningful or unnecessary, allowing alarm threshold sets to be evaluated, and models for filtering alarms to be developed. The adoption of methods such as those presented in this dissertation will ensure that pa- tient demographics and clinical history are considered in the interpretation of medical data, helping to move the field of medicine toward the goal of personalization.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2018; ©2018 |
| Publication date | 2018; 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Poole, Sarah Frances |
|---|---|
| Degree supervisor | Shah, Nigam |
| Thesis advisor | Shah, Nigam |
| Thesis advisor | Bayati, Mohsen |
| Thesis advisor | Hastie, Trevor |
| Thesis advisor | Scheinker, David |
| Degree committee member | Bayati, Mohsen |
| Degree committee member | Hastie, Trevor |
| Degree committee member | Scheinker, David |
| Associated with | Stanford University, Program in Biomedical Informatics. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Sarah Frances Poole. |
|---|---|
| Note | Submitted to the Program in Biomedical Informatics. |
| Thesis | Thesis Ph.D. Stanford University 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Sarah Frances Poole
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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