KLAS just published their Physician Scheduling 2018 report. Many of you participated in this research by providing your anonymous, candid feedback on this critical market. Thank you to those of you who participated. My team and I at OpenTempo will use the feedback and comments that surfaced through this research to help focus our continued efforts on critical areas for improvement.
In thanks and recognition for the time you spent to participate and to ensure you know we are listening, I will respond to all anonymous comments published in the research through a subsequent blog post, grouping and summarizing the comments by logical categories. This response may include an invitation to connect directly, a follow-up question, clarity if there appears to be confusion or an explanation behind the business decision that may impact your experience with OpenTempo. Thank you again for the time you spent proving important feedback. Please feel free to contact me at any time at 802.750.9080 if you would like to talk directly about what OpenTempo can do to better support your needs.
More about the KLAS Report:
While we are grateful that KLAS is committed to understanding the physician scheduling market and surfacing the opinions and experiences of provider users of this critical technology, we are disappointed that KLAS’ recent report on Physician Scheduling doesn’t clearly differentiate between the variability of problems healthcare organizations are trying to solve.
As an example, one problem that has plagued physician groups and health systems is the lack of visibility to who is on call. This problem can be solved with a very simple online call repository and front-end tools. When complete, ED physicians, floor nurses and call center employees will rejoice at straightforward access to this critical information. Take that in contrast with a department that deploys 400+ specialty clinical resources across nine hospitals and 75 sites of care. To this organization, distributing call information to the enterprise, is only scratching the surface of their needs. This organizations primary objective should be to ensure they deploy their clinical talent in a way that meets all coverage needs, distribute clinical effort evenly across the team and give more control to their physician staff to request away-time and swap assignments. This is no simple task.
Taking this one-step further, that organization also needs to pay their people, and managing incentive pay involves several factors: some assignments are more challenging than others, some are in remote facilities, some are during the holidays and some are a combination of all three: difficult, at a remote facility and on a holiday! Ensuring you have a premium time incentive strategy that fairly compensates your clinical resources for the work performed is critical to your retention and recruiting efforts. Administering this type of operational effort is extremely burdensome and error prone; and those errors are costly both from a financial perspective and from a staff satisfaction perspective. To solve for this problem, this organization must have a tool that allows them to store and manage their complex pay rules electronically and link them directly to the information in the schedule to automatically calculate payroll. Only then will they be able to drastically reduce the administrative burden associated with innovative incentive plans for specialty clinical resources. Yet another organization may take this a step further and, having largely solved for the three problems above, is focused on becoming data-driven performance organization. This organization wants to know where, when and why overtime and premium pay is occurring, how much it costs and how much revenue it generated. They want to know where critical and expensive clinical resources are deployed, yet under-utilized. Given the depth of physician scheduling data available, integrated payroll data, and our ability to integrate third party production data, they are focused on bringing this data together in a way that is meaningful and repeatable.
At OpenTempo we are committed to partnering to solve the entire gamut of complex problems associated with maximizing our client’s utilization of their clinical talent: from the straightforward task of getting physician call schedules online through their transformation to a data-driven practice. Yes, it can be difficult, frustrating at times and takes commitment of time, and financial resources, but the operational efficiencies and value associated with becoming a data-driven performance organization is unmatched.
KLAS’s research is just beginning to scratch the surface on the long-term value of physician scheduling solutions. OpenTempo is committed and looking forward to working with KLAS on the complex challenges physician organizations face on the road to operational excellence. This effort will allow for more depth in research and more effectively link the voice of the provider to the scope of the problem that provider’s organization is trying to solve.
Thank you again for participating in the KLAS research effort. We rely on candid insight from you to provide products and services that exceed your expectations and contribute to your organization’s success. If you didn’t get a chance to participate in this last effort, it is not too late.
We encourage you to share your personal experience with KLAS by going to the KLAS Research OpenTempo Physician Scheduling page. It is easy to create a provider account and submit feedback. As a member who participates, you will also get access to industry reports and research as well!
I welcome your feedback and input, as OpenTempo continues to serve the healthcare market.
Chief Executive Officer