Easy availability of patient data to the physicians has proven to reduce the cycle time, improve the efficiency of healthcare delivery, and contribute to the value during each patient visit. Relying on traditional patient data collection mechanisms such as paper-based forms and questionnaires only adds inefficiencies to the care process.
Using antiquated and legacy systems to collect, store, and transmit health data can be a costly affair for healthcare organizations. Inefficiencies related to patient data transmission are estimated to cost the healthcare industry $250 billion every year. Inefficiencies resulting from poor data latency and missing information result in a loss of time, money, and sometimes lives.
Northeast Valley Health Corporation leveraged technology to overcome the data collection and management challenges and switched to digital screening and real-time patient data collection.
Cycle time is the duration of time elapsed between the patient’s arrival and departure. The average cycle time was clocked in at 89 minutes and ran even higher- 111 minutes in the case of adult patients. NEVHC aimed to bring its cycle time to under an hour to boost clinical efficiency.
Data from the screening tools was often unavailable to the physicians at the time of the patient visits. Because of process inefficiencies, patients often had to be recalled for subsequent visits which also impacted the patient experience negatively.
The paper-based questionnaires were swapped by a tablet-based survey that the patients could fill as they waited for the physicians to see them. The data was directly integrated into the patient’s EHR and provided to the physician prior to the visit. This also adds value to the patient’s waiting time while ensuring the availability of all the data the physician needs for providing optimum care at the same time.
Focus on user-friendliness and incorporation of graphics within the interface made it easy to use for patients from a variety of demographic backgrounds. This eliminated the need for transcribing patient responses into the EHRs and resulted in reduction of potential data errors.
Since the system immediately interfaces with the EHR, the data is readily made available to the physicians before the patient visits. Automated alerts were sent out to the physician’s devices to ensure that positive screens are not missed out by them. The interface with EHR also auto generates alerts in the EHR when a patient screens at high-risk for any social determinants of health.
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Dr Vinati Kamani writes about emerging technology and its application across industries for Arkenea. She is an avid reader and self proclaimed bibliophile. When Vinati is not at her desk penning down articles or reading up on the recent trends, she can be found travelling to remote places and soaking up different cultural experiences.