Utility of routine laboratory preoperative tests based on previous results: Time to give up

Introduction: The usefulness and cost-effectiveness of routine laboratory preoperative tests (POTs) have been challenged recently. In fact, the American Society of Anesthesiologists (ASA) Task Force has stated that test results obtained from the medical record within 6 months of surgery generally are mostly acceptable. The aim of our study was to evaluate the degree of utility of POTs and their clinical benefit based on this recommendation. Material and methods: We studied retrospectively every routine POT request from 8 randomly selected weeks in 2016. Every POT contained glucose, creatinine, haemoglobin and coagulation tests (PT-INR). Each pathological result for these tests was registered and classified as “expected” (if previous pathological result within 6 months existed for that test) or “unexpected” (if previous pathological result within 6 months did not exist for that test). Results of ASA physical status classification (a system for assessing the fitness of patients before surgery) and changes in patient management after POTs were retrieved from medical history as well. Results: A total of 4516 tests (from 1129 patients) were analysed and 498 results were found pathological (11%). Of these, 403 were expected (8.9%) and 95 unexpected (2.1%). There was not any change in anaesthetic management for any patient due to these findings. Conclusions: Routine POTs are an inefficient and low-value service. POTs have to be always ordered selectively after a previous consideration of specific information obtained from several sources (medical records, interviews, examinations, type of surgery) and only if the information obtained will result in changes in the management of the patient

Computer physician order entry (CPOE) as a strategy to estimate laboratory activity and costs associated with cancer clinical trials

Introduction: Most of clinical laboratories are not properly reimbursed for their activity related to clinical trials (CTs) conducted in their institutions due to a lack of measurement strategies. We implemented a specific computer physician order entry (CPOE) environment for CTs in order to facilitate ordering to providers and estimate the associated costs to be compared with the standard of care (SOC). Materials and methods: Four specific electronic formularies, restricted to two new virtual CTs clinical services (onco - CT and haemo - CT), were implemented in January 2015. For each clinical trial displayed in the panels there were several box-cells that contained several profiles based on the different phase of the trials. Tests included in the profiles were the tests required by protocol. Laboratory costs (€) per patient were compared between the CTs services and their regular outpatients clinical services (onco - Out and haemo - Out, considered the SOC) for three years. Results: Costs per patient were higher for CTs services and increased progressively each year (25%, 70% and 70% and 0.6%, 2.7% and 17% in 2015, 2016 and 2017 for Oncology and Haematology, respectively). Taking into account all these differences and the number of patients attending a total difference in expense of + 130,377.7 € for the period 2015-2017 was obtained between CTs and outpatients services. Conclusions: Strategies through CPOE systems based on restricted and specific profiles for CTs ordering are a promising tool that can improve laboratory associated costs estimation and provide robust evidence in reimbursement negotiation processes with CTs sponsors

Decision support system through automatic algorithms and electronic request in diagnosis of anaemia for primary care patients

An appropriate management of anaemia laboratory tests is crucial for a correct diagnosis and treatment. A non-sequential “shotgun” approach (where every anaemia related test is ordered) causes workload and cost increases and could be potentially harmful. We have implemented a Decision Support System through our laboratory information system (LIMS) based on reflexive algorithms and automatic generation of interpretative reports specifically in diagnosis of anaemia for primary care patients. When a request contained an “Anaemia Suspicion Study” profile, more than twenty automatic reflexive rules were activated in our LIMS based upon laboratory results. These rules normally involved the addition of reflexive tests. A final report was automatically generated for each interpretation which was always reviewed for their validity by two staff pathologists. We measured the impact of this system in the ordering of most common anaemia related tests and if a proper treatment was established based on the interpretive report. From all the studies performed, only 12% were positive being “iron deficiency” and “anaemia of chronic disease” the most frequent causes, 62% and 17%, respectively. Proper treatment was established in 88% of these anaemic patients. Total iron, transferrin, ferritin, folate and vitamin B12 demand decreased substantially after implementation representing a cost reduction of 40% only for these five tests. Our system has easily improved patient outcomes, advising on individual clinical cases. We have also noticeably reduced the number of over-requested tests and laboratory costs