Telephone Call

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Ronny Gunnarsson - One of the best experts on this subject based on the ideXlab platform.

  • A single, short, standardized Telephone Call may increase compliance
    2020
    Co-Authors: Bertil Hagström, Bengt Mattsson, Ing-marie Rost, Ronny Gunnarsson
    Abstract:

    Results. A majority of the patients (90%) redeemed prescriptions. Women redeemed prescriptions to a greater extent than men, both in the control group (P � 0.023) and in the intervention group (P � 0.0003). A Telephone Call 1 week later increased the proportion of patients that redeemed their prescriptions (P � 0.023). Further analysis showed that only women were affected by the Telephone Call. Twenty percent of the prescriptions were drugs for cardiovascular diseases (CVDs). The proportion of dispensed drugs for CVD was only 66%, compared with 88% for all other drugs (P � 0.001). Conclusion. A single, short, standardized Telephone Call increases women’s compliance. Women also redeem prescriptions more often than men irrespective of a Telephone Call. The compliance and treatment of CVD are not acceptable, and seem to be lower for men than women.

  • What happened to the prescriptions? A single, short, standardized Telephone Call may increase compliance
    Family Practice, 2004
    Co-Authors: Bertil Hagström, Bengt Mattsson, Ing-marie Rost, Ronny Gunnarsson
    Abstract:

    Background. Patients' compliance with prescribed prescriptions and doctors' advice is a prerequisite for successful treatment. Compliance is estimated to be ≤50% in the treatment of hypertension. Thus, it is important to find simple methods to increase compliance. Objectives. Our aim was to estimate the extent to which patients visit the pharmacy and redeem prescribed items after seeing a GP, and to assess if a phone Call 1 week later improves compliance. Methods. A total of 399 patients attending a primary health care centre receiving prescriptions were randomized to active intervention receiving a short standardized follow-up Telephone Call or to standard intervention receiving no Telephone Call. The doctors' prescriptions were later compared with the dispensed drugs at the pharmacies. Results. A majority of the patients (90%) redeemed prescriptions. Women redeemed prescriptions to a greater extent than men, both in the control group (P = 0.023) and in the intervention group (P = 0.0003). A Telephone Call 1 week later increased the proportion of patients that redeemed their prescriptions (P = 0.023). Further analysis showed that only women were affected by the Telephone Call. Twenty percent of the prescriptions were drugs for cardiovascular diseases (CVDs). The proportion of dispensed drugs for CVD was only 66%, compared with 88% for all other drugs (P = 0.001). Conclusion. A single, short, standardized Telephone Call increases women's compliance. Women also redeem prescriptions more often than men irrespective of a Telephone Call. The compliance and treatment of CVD are not acceptable, and seem to be lower for men than women.

Avishai Mandelbaum - One of the best experts on this subject based on the ideXlab platform.

  • statistical analysis of a Telephone Call center a queueing science perspective
    Journal of the American Statistical Association, 2005
    Co-Authors: Lawrence D Brown, Noah Gans, Avishai Mandelbaum, Anat Sakov, Haipeng Shen, Sergey Zeltyn, Linda Zhao
    Abstract:

    A Call center is a service network in which agents provide Telephone-based services. Customers who seek these services are delayed in tele-queues. This article summarizes an analysis of a unique record of Call center operations. The data comprise a complete operational history of a small banking Call center, Call by Call, over a full year. Taking the perspective of queueing theory, we decompose the service process into three fundamental components: arrivals, customer patience, and service durations. Each component involves different basic mathematical structures and requires a different style of statistical analysis. Some of the key empirical results are sketched, along with descriptions of the varied techniques required. Several statistical techniques are developed for analysis of the basic components. One of these techniques is a test that a point process is a Poisson process. Another involves estimation of the mean function in a nonparametric regression with lognormal errors. A new graphical technique ...

  • commissioned paper Telephone Call centers tutorial review and research prospects
    Manufacturing & Service Operations Management, 2003
    Co-Authors: Noah Gans, Ger Koole, Avishai Mandelbaum
    Abstract:

    Telephone Call centers are an integral part of many businesses, and their economic role is significant and growing. They are also fascinating sociotechnical systems in which the behavior of customers and employees is closely intertwined with physical performance measures. In these environments traditional operational models are of great value--and at the same time fundamentally limited--in their ability to characterize system performance.We review the state of research on Telephone Call centers. We begin with a tutorial on how Call centers function and proceed to survey academic research devoted to the management of their operations. We then outline important problems that have not been addressed and identify promising directions for future research.

  • Queueing Models of Call Centers: An Introduction
    Annals of Operations Research, 2002
    Co-Authors: Ger Koole, Avishai Mandelbaum
    Abstract:

    This is a survey of some academic research on Telephone Call centers. The surveyed research has its origin in, or is related to, queueing theory. Indeed, the “queueing-view” of Call centers is both natural and useful. Accordingly, queueing models have served as prevalent standard support tools for Call center management. However, the modern Call center is a complex socio-technical system. It thus enjoys central features that challenge existing queueing theory to its limits, and beyond. The present document is an abridged version of a survey that can be downloaded from www.cs.vu.nl/obp/Callcenters and ie.technion.ac.il/∼serveng.

Mohamed A Zayed - One of the best experts on this subject based on the ideXlab platform.

  • a Telephone Call 1 week after hospitalization can identify risk factors for vascular surgery readmission
    Journal of Vascular Surgery, 2016
    Co-Authors: John R Hornick, Joshua Balderman, Ronnie L Eugea, Luis A Sanchez, Mohamed A Zayed
    Abstract:

    Objective Compared with other populations, patients who undergo vascular surgery have higher 30-day hospital readmission rates of up to 25%. Postdischarge Telephone Call assessments have demonstrated utility in patients with significant medical comorbidities and traditionally high readmission rates. Therefore, we hypothesized that a 1-week postdischarge Telephone Call evaluation can identify risk factors for readmission among vascular surgery patients. Methods Patients who underwent a vascular surgery procedure during a 1-year period by a single vascular surgeon at one hospital received a postdischarge Telephone Call questionnaire to review postoperative pain, surgical site, constitutional symptoms, and follow-up arrangement. The primary outcome measure was frequency of postoperative symptoms as collected on the Telephone Call questionnaire. The secondary outcome measure was 30-day hospital readmission rates. Results Among 167 patients, 131 (78%) received a Telephone Call after discharge. Calls identified pain relieved by prescription medication (odds ratio, 6.67; confidence interval, 0.82-53.81; P  = .05) and continued dressing application (odds ratio, 9.55; confidence interval, 0.54-166.6; P  = .04) as risk factors for 30-day readmission. The 30-day readmission was not statistiCally different in patients who were successfully and not successfully contacted with a postdischarge Telephone Call (8% and 17%, respectively; P  = .37). Conclusions Vascular surgery patients are at higher risk of 30-day readmission than are patients in other surgical subspecialties. For the majority of patients, implementing a 1-week postdischarge Telephone Call for short-term follow-up evaluation is feasible and can help identify potential risk factors for hospital readmission within 30 days.

Rina Lazebnik - One of the best experts on this subject based on the ideXlab platform.

  • Telephone Call reminders and attendance in an adolescent clinic
    Pediatrics, 1998
    Co-Authors: Grael Obrien, Rina Lazebnik
    Abstract:

    Objective . To determine the effect of a single Telephone Call reminder on appointment compliance among adolescents in an inner city, hospital-based clinic. Methods . A randomized clinical trial was conducted at the Adolescent Clinic, a part of the Ambulatory Pediatric Practice Clinic in Cleveland, Ohio, from December 1995 to November 1996. A total of 703 routine adolescent ambulatory appointments were randomized to receive either a single Telephone Call reminder 1 day before the appointment or to receive no reminder. A single Telephone Call attempt was directed primarily to the parent or guardian of the patient in the assignment group. If not available, the reminder message was left with the patient or other family member, or on the answering machine. The study variables selected included age, gender, appointment time, distance from clinic, and payment source, and for the intervention group, the recipient of the reminder Telephone Call. The outcome measure was the attendance rate. Results.  The intervention group ( n = 347) and control group ( n = 356) were well balanced for all study variables. The overall attendance rate was 49.8%. Only 204 (58.8%) of the 347 attempted intervention appointments were contacted successfully by Telephone. In the attempted intervention analysis, the attendance rate of 55.6% in the intervention group ( n = 347), regardless of whether subjects were successfully contacted by Telephone, was 26.1% greater than the 44.1% attendance rate in the control group. In the completed intervention analysis, the attendance rate of 65.2% in the successfully contacted individuals within the intervention group ( n = 204) was increased by 47.8% over that in the control group. In the univariate analysis, attendance for self-paying patients (25.4%) was worse than that for any group. In the logistic regression analysis, both the reminder Telephone Call intervention and the payment source were independent predictors of attendance. In the group that was Called successfully ( n = 204), there was no association between attendance and the recipient of the Telephone Call. Conclusions . Telephone reminders are a very effective method of increasing attendance in a hospital-based adolescent clinic. The reminder is a consistently effective intervention whether the message is delivered to the patient, to the parent or other family member, or to a Telephone answering machine. Adolescent patients whose visits are not covered by Medicaid or commercial insurance are least likely to attend their clinic appointments, and a Telephone Call reminder has no effect on this pattern.

F. Seide - One of the best experts on this subject based on the ideXlab platform.

  • Unsupervised speaker adaptation for Telephone Call transcription
    2009 IEEE International Conference on Acoustics Speech and Signal Processing, 2009
    Co-Authors: R. Wallace, K. Thambiratnam, F. Seide
    Abstract:

    The use of the PC and Internet for placing Telephone Calls will present new opportunities to capture vast amounts of un-transcribed speech for a particular speaker. This paper investigates how to best exploit this data for speaker-dependent speech recognition. Supervised and unsupervised experiments in acoustic model and language model adaptation are presented. Using one hour of automatiCally transcribed speech per speaker with a word error rate of 36.0%, unsupervised adaptation resulted in an absolute gain of 6.3%, equivalent to 70% of the gain from the supervised case, with additional adaptation data likely to yield further improvements. LM adaptation experiments suggested that although there seems to be a small degree of speaker idiolect, adaptation to the speaker alone, without considering the topic of the conversation, is in itself unlikely to improve transcription accuracy.