HEALTHCARE SOLUTIONS

IDSC's solution for hospitals recognizes the difficulty of relying on doctors' estimates for the time needed for surgeries and consultations.

The solution produces better predictions of such timings and optimally schedule appointments such that patients' medical urgency and uncertainties (including no-show/late-coming, failure of pre-surgery tests, etc) are adequately considered. This enables valuable resources to be better used and medical urgency to be managed efficiently and effectively.

From over 50,000 patient data collected,  insights into factors affecting consultation and surgery times allow the team to recommend fundamental steps and solutions needed to address the waiting time problem.

 

The findings enabled hospitals to optimally assign appointments based on assessed urgency, consultation/surgery duration and its variance, likelihood of no-show, etc. This allowed the appointments to be scheduled so as to reap the following benefits:

  • Patients of various medical urgency get treated at the right time

  • Time spent waiting at clinics or surgery departments are minimized

  • Overbooking is done optimally with consideration for patient profiles so that clinical sessions end on time

  • Operating theatres run better with less idle time

Surgery duration have traditionally been estimated by the surgeon making the booking. Their estimates have not been accurate – causing turbulence which leads to operating theatres having utilization of about 40-50%.

 

A healthcare partner engaged IDSC to conduct a study of the surgery durations in 4 hospitals in Japan. This study demonstrated how regression analysis with just two additional factors – local vs general anesthesia and emergency vs elective op – can improve the accuracy of surgery duration by about 30% compared with the case of relying solely on surgeons’ estimates.

 

The findings enable hospitals to adopt regression as an effective way of improve surgery duration estimates which then led to higher utilization of operating theatres.

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