The ability to track patient data is instrumental to a doctor, hospital, nursing facility or even substance rehab center. But today, what do we do with our ability to predict that data? As providers continue to collect huge amounts of data from financial, clinical, demographic, and socioeconomic inputs, the need to sift through and interpret that data is critical.
Where electronic health records (EHRs) fall short, a predictive patient relationship management can make up in value. EHRs were not designed to serve as predictive channels for their stored data. Providers need a solution that not only enables them to manage no-show and cancellation rates but also addresses questions like:
- Which patients within my population are at-risk?
- What are the leading factors for my patients’ risks?
- How can I improve the health of my patient population?
Providers genuinely want to spend more time doing what they do best: caring for their patients, not sift through volumes of unclassified, unstructured data. When relying on EHRs for patient engagement, physicians and nurse practitioners face many challenges indeed. What doctors and physicians seek is a tool that not only gives back lost time from using EHRs but a tool that enables two-way patient communication even when patients leave their care clinic, hospital or center. This calls for a communication medium to be put in place dedicated to engaging patients and helping doctors get what patients need when they need it.
It’s becoming more difficult for doctors to focus solely on their patients. While the rise of the health IT landscape was meant to automate certain tasks, the reality is it’s taking up more and more of a doctor’s time. With new reporting and payment regulations underway, doctor would, ideally, have a one-stop solution.
EHRs alone aren’t enough and extracting data from these systems is a daunting task. Orchestrated in alignment, however, EHRs and predictive analytics make a formidable pair. Together, as the yin and yang if you will of the health IT portfolio, EHRs and predictive analytics empower healthcare providers to capture data, interpret it for actionable insights—regardless of complexity or magnitude—and help providers with their patients in the continuum of care.
Predictive patient relationship management does not replace an EHR. Rather, predictive patient relationship management complements a robust EHR system. In this new era of healthcare, predictability tied with communication and reporting gives doctors the ability to ultimately improve their financial and clinical outcomes and focus on what matters most, the patient.
Contributed by: Jaspinder Grewal, current CEO of CareSkore. Jaspinder is a young entrepreneur who just raised $4.3 million in funding for the company. Joe Montana, the ex-NFL quaterback is an investor in CareSkore. Mr. Grewal a computer engineer and holds an MBA from the University of Chicago Booth School of Business. He has 13 years of experience working with large health systems, managing technology, and operations.
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