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Results for “Appointments and Schedules”

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At least 19 recordsLinked to original sources

The medical appointment scheduler.

In order to enhance our understanding of how to best improve patient care, it was necessary to initially identify key questions that patients ask most frequently by recording actual calls made by home hemodialysis patients to a dialysis clinic over a three-month period. From an initial analysis of the recorded conversations, one of the most frequent reasons for patient calls was for scheduling concerns. Since the use of automated systems often enable a quicker response to patients' needs and alleviate time demands on the personnel that have to answer these calls, an automated scheduling system was designed and implemented to address this concern. The SCHEDULER is a mixed-initiative spoken dialogue system that allows a patient to schedule an appointment with a provider over the telephone. The system was implemented using SPEECHBUILDER, a utility developed by the Spoken Language System group at M.I.T. that helps automatically configure human language technology servers to create a new conversational system. We describe the system architecture, general considerations in the design, and a preliminary evaluation of the system.

Appointments and Schedules↗

Rolling horizon appointment scheduling: a simulation study.

Health-care consumers continue to be frustrated with long waits, especially when an appointment has been made. However, providers who book appointments are under increasing pressure to maximize utilization so that revenues will be increased and costs reduced. Thus, scheduling appointments involves opposing forces that are difficult to manage. This challenge is addressed in a rolling-horizon environment with fluctuating demand loads. These two issues have not been explored previously in the appointment-scheduling research. Two management policies are considered: overload rules (OLR) and rule delay (RD). The former considers different scheduling methods (overtime, double booking) when demand loads are high, and the rule delay policy considers when to implement the overload rules. These methods are explored for six different demand patterns/loads and evaluated with a variety of client and server-oriented measures. The results show that managers of appointment scheduling systems must carefully consider which measures are most important to them since the best choices of OLR and RD vary substantially by measure. Good choices also depend on the general type of client demand pattern. Thus, to consider the various tradeoffs between client and server measures a matrix is developed that outlines good choices for each scenario.

Ambulatory Care Information Systems↗

What is the payoff in computerized appointment scheduling?

Is your group experiencing difficulty in the area of patient appointment scheduling? By changing from a manual method to a system of on-line computerized appointment scheduling, you will not only realize the value of consistent scheduling, but also the benefits of credit control and a reduction of time-consuming error correction. The process that this group went through in developing a computerized system to meet their specific needs is especially relevant to larger group practices. However, there are systems available that can fulfill the needs of any size group.

Appointments and Schedules↗

Open-access appointment scheduling in family practice: comparison of a demand prediction grid with actual appointments.

BACKGROUND: Inadequate access to their primary care physician remains a major reason for patient dissatisfaction in ambulatory care. The concept of open-access appointment scheduling has been found to accommodate patients' urgent health care needs while providing continuous, routine care. We describe the development of a demand prediction grid for future appointments, compare it with one developed by Kaiser Permanente, and compare the predictions with actual appointments made and held in our clinic. METHODS: Using adjusted 1999 appointments based on historical data for the Scott & White Killeen Clinic (> 75,000 annual appointments; 13 family physicians), we computed appointment predictions for calendar year 2000 by day of the week and by month of the year. We then compared our predictions with those of Kaiser and actual appointments for the first half of 2000. RESULTS: Our data and the Kaiser data agreed on the day of week, but they were different for the summer and winter months. Overall, actual appointments made and held at our clinic for January through June 2000 were within 6% of the predictions. Appointments for January and February were 18% and 4% more than the predictions, respectively, while appointments for March were 3% less than the predictions. Appointments for April through June were 3% to 7% more than the predictions. Few daily variations were observed between actual appointments and predictions. CONCLUSIONS: We conclude that the Kaiser data might be tempered by a different climate, underscoring the need for each practice to develop its own demand prediction grid. That our actual appointments were 6% more than predicted overall but fluctuated month by month reemphasizes the need for continuous monitoring of the adjustment factor for prediction.

Appointments and Schedules↗

Appointment scheduling system: a vehicle for increased productivity.

Operations management is the design and control of systems responsible for the productive use of human resources, equipment, and facilities in the development of a product or service. Applying those concepts to appointment scheduling can coordinate efficient use of resources. The focus of this paper is to assist the dentist and dental team in creating an appointment scheduling system that maximizes productivity and profitability.

Appointments and Schedules↗

Resource and appointment scheduling: closing the information loop.

Hospital-wide preparation is currently underway for a new patient care information system at Baystate Medical Center in Springfield, Massachusetts. Integral to this new system are two new products recently developed by the TDS Healthcare Systems Corporation: a permanent patient record system and a resource and appointment scheduling application. The new patient care information system can maintain up to 16 million records on-line and can be used throughout the medical center. This article will focus on the resource and appointment scheduling application and how it can be used to track resource utilization and close the information loop related to patient appointment activities.

Appointments and Schedules↗

Effect of appointment scheduling and reminder postcards on adherence to mammography recommendations.

A brief, simple intervention designed to increase the adherence of female patients to their physicians' recommendations for screening mammograms was tested in several midwestern sites. Compared with a control group in which women were examined, told about mammography, and instructed to make an appointment for themselves, an intervention that scheduled appointments for women on the spot and followed up with a reminder postcard increased adherence at every site. Such an intervention, if implemented on a wide scale, would augment the value of screening mammography in controlling breast cancer.

Adult↗

Scheduled appointments and patient-staff compliance.

Studies of medication compliance have focused primarily on patient resistance to treatment, medication side effects, or the complexity of the medication regimen. This study of patient visits in a large psychiatric clinic found that, because of failure to schedule appointments or to notify receptionists of rescheduled appointments, physician noncompliance was as important as patient failure.

Appointments and Schedules↗

Appointment scheduling.

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Appointments and Schedules↗