ABSTRACT
Science and technology have evolved quickly during the two decades of the 21st century, but healthcare systems are grounded in last century's structure and processes. Changes in the way health care is provided are demanded; digital transformation is a key driver making healthcare systems more accessible, agile, efficient, and citizen-centered. Nevertheless, the way healthcare systems function challenges the development (Innovation + Development and regulatory requirements), assessment (methodological guidance weaknesses), and adoption of digital applications (DAs). WtsWrng (WW), an innovative DA which uses images to interact with citizens for symptom triage and monitoring, is used as an example to show the challenges faced in its development and clinical validation and how these are being overcome. To prove WW's value from inception, novel approaches for evidence generation that allows for an agile and patient-centered development have been applied. Early scientific advice from NICE (UK) was sought for study design, an iterative development and interim analysis was performed, and different statistical parameters (Kappa, B statistic) were explored to face development and assessment challenges. WW triage accuracy at cutoff time ranged from 0.62 to 0.94 for the most frequent symptoms attending the Emergency Department (ED), with the observed concordance for the 12 most frequent diagnostics at hospital discharge fluctuating between 0.4 to 0.97; 8 of the diagnostics had a concordance greater than 0.8. This experience should provoke reflective thinking for DA developers, digital health scientists, regulators, health technology assessors, and payers.
Subject(s)
Delivery of Health Care , Triage , Humans , Technology , Emergency Service, Hospital , Medical AssistanceABSTRACT
BACKGROUND: Water quality monitoring at the dialysis units (DU) is essential to ensure an appropriate dialysis fluid quality and guarantee an optimal and safe dialysis treatment to patients. This paper aims to evaluate the effectiveness, economic and organizational impact of automation, digitalization and remote water quality monitoring, through a New Water Technology (NWT) at a hospital DU to produce dialysis water, compared to a Conventional Water Technology (CWT). METHODS: A before-and-after study was carried out at the Hospital Clínic Barcelona. Data on CWT was collected during 1-year (control) and 7-month for the NWT (case). Data on water quality, resource use and unit cost were retrospective and prospectively collected. A comparative effectiveness analysis on the compliance rate of quality water parameters with the international guidelines between the NWT and the CWT was conducted. This was followed by a cost-minimization analysis and an organizational impact from the hospital perspective. An extensive deterministic sensitivity analysis was also performed. RESULTS: The NWT compared to the CWT showed no differences on effectiveness measured as the compliance rate on international requirements on water quality (100% vs. 100%), but the NWT yielded savings of 3,599 EUR/year compared to the CWT. The NWT offered more data accuracy (daily measures: 6 vs. 1 and missing data: 0 vs. 20 days/year), optimization of the DU employees' workload (attendance to DU: 4 vs. 19 days/month) and workflow, through the remote and continuous monitoring, reliability of data and process regarding audits for quality control. CONCLUSIONS: While the compliance of international recommendations on continuous monitoring was performed with the CWT, the NWT was efficient compared to the CWT, mainly due to the travel time needed by the technical operator to attend the DU. These results were scalable to other economic contexts. Nonetheless, they should be taken with caution either when the NWT equipment/maintenance cost are largely increased, or the workforce involvement is diminished.
