Diabetic Care Management System to Improve Dietitian-Patient Consultation Process

Author(s):  
Mohammad Aerry Asmani Md Nizam ◽  
Suhaili Beeran Kutty ◽  
Maizura Mohd Sani
Author(s):  
Fikret GÜMÜŞBUĞA

This study mainly focuses on customer care management and customer loyalty. Even though there are many experiential studies about customer care management and customer loyalty system, the lack of studies on customers in Karabük and Safranbolu locally, has leaded to focus on this study. Thus, this study mainly focuses on the influence of customer care treatments of banks in Karabük and Safranbolu on customer loyalty. Descriptive research type was used in the study. In this study simple random sampling method was used which is one of the probability sampling method, face to face surwey to all 726 participants was used for the study. As the result of the experiential study, the attendance and influence of customer care management and loyalty systems have been comparatively low, but it has been figured out that customer care management system influences customer loyalty level.


2021 ◽  
Author(s):  
Yee Chieh Chew ◽  
Michael Swiernik ◽  
Thomas McCormick ◽  
Angie Stevens

BACKGROUND Remote patient monitoring has shown promise in helping management of population health by facilitating care management between providers and patients by providing real-time accurate data of relevant readings for chronic conditions from outside a medical facility. Kaiser Permanente offers remote patient monitoring as part of a holistic care management program for its members. OBJECTIVE The purpose of this study was to examine qualitative and quantitative measures of patient and provider feedback of Kaiser Permanente’s remote patient monitoring program for diabetes, patient perspectives on ability to manage diabetic care, patient health outcomes and program adherence, and utilization of Kaiser Permanente services under the program. METHODS In this study, patients who were enrolled in the RPM program in Southern California from 2017 onwards as well as care providers who had enrolled at least one patient in the program were studied. For qualitative data, online surveys were deployed. For quantitative analysis, clinical and demographic data drawn from existing data systems, which included Kaiser Permanente membership records, encounter records, electronic medical records, and administrative data repositories were used. RESULTS Providers (N=160) and patients (N=1,106) responded to the survey and reported many qualitative benefits from participating in the study, including improved coordination of clinical care and increased accountability. Patients who were enrolled in the program experienced a mean decrease of 1.25 in HbA1c results and an increase in encounters over 90 days which gradually come back to pre-enrollment encounter levels around 6 months. Those who actively upload glucose readings met the program upload goals within the first month a majority (92%) of the time. CONCLUSIONS There are many qualitative benefits for patients and providers incorporating Kaiser Permanente’s remote patient monitoring program as part of diabetic care. The quantitative descriptions of health outcomes, service utilization, and program adherence speak to the feasibility and value of deploying remote monitoring tools at scale within healthcare organizations.


2019 ◽  
Vol 119 (8) ◽  
pp. 1819-1840 ◽  
Author(s):  
Valerie Tang ◽  
K.L. Choy ◽  
G.T.S. Ho ◽  
H.Y. Lam ◽  
Y.P. Tsang

Purpose The purpose of this paper is to develop an Internet of medical things (IoMT)-based geriatric care management system (I-GCMS), integrating IoMT and case-based reasoning (CBR) in order to deal with the global concerns of the increasing demand for elderly care service in nursing homes. Design/methodology/approach The I-GCMS is developed under the IoMT environment to collect real-time biometric data for total health monitoring. When the health of an elderly deteriorates, the CBR is used to revise and generate the customized care plan, and hence support and improve the geriatric care management (GCM) service in nursing homes. Findings A case study is conducted in a nursing home in Taiwan to evaluate the performance of the I-GCMS. Under the IoMT environment, the time saving in executing total health monitoring helps improve the daily operation effectiveness and efficiency. In addition, the proposed system helps leverage a proactive approach in modifying the content of a care plan in response to the change of health status of elderly. Originality/value Considering the needs for demanding and accurate healthcare services, this is the first time that IoMT and CBR technologies have been integrated in the field of GCM. This paper illustrates how to seamlessly connect various sensors to capture real-time biometric data to the I-GCMS platform for responsively supporting decision making in the care plan modification processes. With the aid of I-GCMS, the efficiency in executing the daily routine processes and the quality of healthcare services can be improved.


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