Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews

Author(s):  
Frederik S. Bäumer ◽  
Nicolai Grote ◽  
Joschka Kersting ◽  
Michaela Geierhos
2000 ◽  
Vol 5 (5) ◽  
pp. 4-5
Author(s):  
James B. Talmage ◽  
Leon H. Ensalada

Abstract Evaluators must understand the complex overall process that makes up an independent medical evaluation (IME), whether the purpose of the evaluation is to assess impairment or other care issues. Part 1 of this article provides an overview of the process, and Part 2 [in this issue] reviews the pre-evaluation process in detail. The IME process comprises three phases: pre-evaluation, evaluation, and postevaluation. Pre-evaluation begins when a client requests an IME and provides the physician with medical records and other information. The following steps occur at the time of an evaluation: 1) patient is greeted; arrival time is noted; 2) identity of the examinee is verified; 3) the evaluation process is explained and written informed consent is obtained; 4) questions or inventories are completed; 5) physician reviews radiographs or diagnostic studies; 6) physician records start time and interviews examinee; 7) physician may dictate the history in the presence of the examinee; 8) physician examines examinee with staff member in attendance, documenting negative, physical, and nonphysiologic findings; 9) physician concludes evaluation, records end time, and provides a satisfaction survey to examinee; 10) examinee returns satisfaction survey before departure. Postevaluation work includes preparing the IME report, which is best done immediately after the evaluation. To perfect the IME process, examiners can assess their current approach to IMEs, identify strengths and weaknesses, and consider what can be done to improve efficiency and quality.


1989 ◽  
Vol 28 (02) ◽  
pp. 69-77 ◽  
Author(s):  
R. Haux

Abstract:Expert systems in medicine are frequently restricted to assisting the physician to derive a patient-specific diagnosis and therapy proposal. In many cases, however, there is a clinical need to use these patient data for other purposes as well. The intention of this paper is to show how and to what extent patient data in expert systems can additionally be used to create clinical registries and for statistical data analysis. At first, the pitfalls of goal-oriented mechanisms for the multiple usability of data are shown by means of an example. Then a data acquisition and inference mechanism is proposed, which includes a procedure for controlling selection bias, the so-called knowledge-based attribute selection. The functional view and the architectural view of expert systems suitable for the multiple usability of patient data is outlined in general and then by means of an application example. Finally, the ideas presented are discussed and compared with related approaches.


1996 ◽  
Vol 35 (02) ◽  
pp. 88-92 ◽  
Author(s):  
E.-H. W. Kluge

AbstractKay and Purves' proposed narratological model of the medical record is based on the familiar phenomenological insight that the perception of data is conditioned by the conceptual framework of the perceiver. Unfortunately, unless handled very carefully, this approach will make the significance of a medical record unique to the person who constructed it and impermeable to outside scrutiny. However, when integrated into the analog-model of the medical record, the narratological model can be accommodated as the clinician-relative construction of a patient profile within the data that make up the medical record. Some implications for the construction of expert systems and competence analysis are indicated.


Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 393-P
Author(s):  
KHAWLA F. ALI ◽  
LIMA LAWRENCE ◽  
LAUREN A. BUEHLER ◽  
RONALD R. GAMBINO ◽  
MARWAN HAMATY

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