Dataset Information

A novel tool for patient data management in the ICU-Ensuring timely and accurate vital data exchange among ICU team members.

ABSTRACT:

Objective

The coronavirus pandemic has highlighted the need to simplify data collection for critically-ill patients, particularly for physicians relocated to the ICU setting. Herein we present a simple, reproducible, and highly-customizable manual-entry tool to track ICU patients using new HIPAA-compliant Google Big Query technology for parsing large datasets. This innovative flow chart is useful and could be modified to serve the particular needs of different sub-specialists, particularly those that either rely heavily on hand-written notes or experience poor electronic medical record (EMR) penetration.

Methods

The tool was developed using a combination of three Google Enterprise features: Google Forms for data input, Google Sheets for data output, and Google Big Query for data parsing. Code was written in SQL. Sheets functions were used to transpose and filter parsed data. White and black box tests were performed to examine functionality.

Results

Our tool was successfully able to collect and output fictional patient data across all 57 data points specified by the intensivists and surgeons of Cardiovascular Department of Mt. Sinai Morningside Hospital.

Conclusion

The functional tests performed demonstrate use of the tool. Though originally conceived to simplify patient data collection for newly relocated physicians to the ICU, our tool also overcomes financial and technological barriers previously described in low-income countries that could dramatically improve patient care and provide data to power future studies in these regions. With the original code provided, implementers may adapt our tool to best meet the requirements of their clinical setting and protocols during this very challenging time.

SUBMITTER: Newman N

PROVIDER: S-EPMC7528843 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A novel tool for patient data management in the ICU-Ensuring timely and accurate vital data exchange among ICU team members.

Newman Noah N Gilman Sam S Burdumy Matt M Yimen Mekeleya M Lattouf Omar O

International journal of medical informatics 20201001

<h4>Objective</h4>The coronavirus pandemic has highlighted the need to simplify data collection for critically-ill patients, particularly for physicians relocated to the ICU setting. Herein we present a simple, reproducible, and highly-customizable manual-entry tool to track ICU patients using new HIPAA-compliant Google Big Query technology for parsing large datasets. This innovative flow chart is useful and could be modified to serve the particular needs of different sub-specialists, particular ...[more]

PMID: 33049479

Similar Datasets

Project description:ObjectiveTo understand the experiences and perceived benefits of virtual visiting from the perspectives of intensive care unit (ICU)-experienced clinicians and non-ICU-experienced family liaison team members.DesignQualitative descriptive study.SettingAdult intensive care setting across 14 hospitals within the UK National Health Service.ParticipantsICU-experienced clinicians and non-ICU-experienced family liaison team members deployed during the first wave of the COVID-19 pandemic.MethodsSemistructured telephone/video interviews were conducted with ICU clinicians. Analytical themes were developed inductively following a standard thematic approach, using 'family-centred care' and 'sensemaking' as sensitising concepts.ResultsWe completed 36 interviews, with 17 ICU-experienced clinicians and 19 non-ICU-experienced family liaison team members. In the context of inperson visiting restrictions, virtual visiting offered an alternative conduit to (1) restoring the family unit, (2) facilitating family involvement, and (3) enabling sensemaking for the family. Virtual visits with multiple family members concurrently and with those living in distant geographical locations restored a sense of family unit. Family involvement in rehabilitation, communication and orientation activities, as well as presence at the end of life, highlighted how virtual visiting could contribute to family-centred care. Virtual visits were emotionally challenging for many family members, but also cathartic in helping make sense of their own emotions and experience by visualising their relatives in the ICU. Being able to see and interact with loved ones and their immediate care providers afforded important cues to enable family sensemaking of the ICU experience.ConclusionsIn this UK qualitative study of clinicians using virtual ICU visiting, in the absence of inperson visiting, virtual visiting was perceived positively as an alternative that promoted family-centred care through virtual presence. We anticipate the perceived benefits of virtual visiting may extend to non-pandemic conditions through improved equity and timeliness of family access to the ICU by offering an alternative option alongside inperson visiting.

Project description:ImportanceCancer treatment delay is a recognized marker of worse outcomes. Timely treatment may be associated with physician patient-sharing network characteristics, yet this remains understudied.ObjectiveTo examine the associations of surgeon and care team patient-sharing network measures with breast cancer treatment delay.Design, setting, and participantsThis cross-sectional study of Medicare claims in a US population-based setting was conducted from 2017 to 2020. Eligible participants included patients with breast cancer who received surgery and the subset who went on to receive adjuvant therapy. Patient-sharing networks were constructed for treating physicians. Data were analyzed from September 2023 to February 2024.ExposuresSurgeon linchpin score (a measure of local uniqueness or scarcity) and care density (a measure of physician team familiarity) were assessed. Surgeons were considered linchpins if their linchpin score was in the top 15%. The care density of a patient's physician team was calculated on preoperative teams for surgically-treated patients and postoperative teams for adjuvant therapy-receiving patients.Main outcomes and measuresThe primary outcomes were surgical and adjuvant delay, which were defined as greater than 60 days between biopsy and surgery and greater than 60 days between surgery and adjuvant therapy, respectively.ResultsThe study cohort included 56 433 patients (18 004 aged 70-74 years [31.9%]) who were mostly from urban areas (44 931 patients [79.6%]). Among these patients, 8009 (14.2%) experienced surgical delay. Linchpin surgeon status (locally unique surgeon) was not statistically associated with surgical delay; however, patients with high preoperative care density (ie, high team familiarity) had lower odds of surgical delay compared with those with low preoperative care density (odds ratio [OR], 0.58; 95% CI, 0.53-0.63). Of the 29 458 patients who received adjuvant therapy after surgery, 5700 (19.3%) experienced adjuvant delay. Patients with a linchpin surgeon had greater odds of adjuvant delay compared with those with a nonlinchpin surgeon (OR, 1.30; 95% CI, 1.13-1.49). Compared with those with low postoperative care density, there were lower odds of adjuvant delay for patients with high postoperative care density (OR, 0.77; 95% CI, 0.69-0.87) and medium postoperative care density (OR, 0.85; 95% CI, 0.77-0.94).Conclusions and relevanceIn this cross-sectional study of Medicare claims, network measures capturing physician scarcity and team familiarity were associated with timely treatment. These results may help guide system-level interventions to reduce cancer treatment delays.

Project description:BackgroundThe Aligning Biobanking and Data Integration Centers Efficiently project aims to harmonize technologies and governance structures of German university hospitals and their biobanks to facilitate searching for patient data and biospecimens. The central element will be a feasibility tool for researchers to query the availability of samples and data to determine the feasibility of their study project.ObjectiveThe objectives of the study were as follows: an evaluation of the overall user interface usability of the feasibility tool, the identification of critical usability issues, comprehensibility of the underlying ontology operability, and analysis of user feedback on additional functionalities. From these, recommendations for quality-of-use optimization, focusing on more intuitive usability, were derived.MethodsTo achieve the study goal, an exploratory usability test consisting of 2 main parts was conducted. In the first part, the thinking aloud method (test participants express their thoughts aloud throughout their use of the tool) was complemented by a quantitative questionnaire. In the second part, the interview method was combined with supplementary mock-ups to collect users' opinions on possible additional features.ResultsThe study cohort rated global usability of the feasibility tool based on the System Usability Scale with a good score of 81.25. The tasks assigned posed certain challenges. No participant was able to solve all tasks correctly. A detailed analysis showed that this was mostly because of minor issues. This impression was confirmed by the recorded statements, which described the tool as intuitive and user friendly. The feedback also provided useful insights regarding which critical usability problems occur and need to be addressed promptly.ConclusionsThe findings indicate that the prototype of the Aligning Biobanking and Data Integration Centers Efficiently feasibility tool is headed in the right direction. Nevertheless, we see potential for optimization primarily in the display of the search functions, the unambiguous distinguishability of criteria, and the visibility of their associated classification system. Overall, it can be stated that the combination of different tools used to evaluate the feasibility tool provided a comprehensive picture of its usability.

Project description:ObjectivesInadequate self-efficacy of resuscitation team members may impair team performance, but high self-efficacy does not guarantee competence. We evaluated the relationship between individual self-efficacy and resuscitation team competence.DesignSecondary analysis of a randomized controlled trial.SettingHigh-fidelity in situ in-hospital cardiac arrest simulations at seven hospitals in Utah.SubjectsMultidisciplinary cardiac arrest resuscitation team members.InterventionsNone.Measurements and main resultsResuscitation team members completed surveys evaluating resuscitation self-efficacy (confidence in resuscitation role, difficulty thinking clearly, and concerns about committing errors) after each simulation. The primary outcome was event-level chest compression hands-on fraction greater than 75%. Secondary outcomes included other measures of resuscitation quality, advanced cardiac life support protocol adherence, and nontechnical team performance. Analyses employed the Datta-Satten rank-sum method to account for response clustering within simulation events. Of 923 participants in 76 analyzable simulations, 612 (66%) submitted complete surveys and 33 (43%) resuscitation teams achieved hands-on fraction greater than 75%. Event-level chest compression hands-on fraction greater than 75% versus less than or equal to 75% was not associated with the percentage of resuscitation team members reporting confidence in their team role (n = 213 [74%] vs. n = 251 [77%], respectively, p = 0.18), lack of difficulty thinking clearly (n = 186 [65%] vs. n = 214 [66%], p = 0.92), or lack of worry about making errors (n = 155 [54%] vs. n = 180 [55%], p = 0.41). Team members' confidence was also not associated with secondary outcomes, except that teams with confident members had better values for composite (3.55 [interquartile range, IQR 3.00-3.82] vs. 3.18 [IQR 2.57-3.64], p = 0.024) and global (8 [7-9] vs. 8 [6-8], p = 0.029) scales measuring nontechnical team performance.ConclusionsTeam members' self-efficacy was not associated with most team-level competence metrics during simulated cardiac arrest resuscitation. These data suggest that self-efficacy should have a limited role for evaluation of resuscitation training programs and for initial certification and monitoring of individual resuscitation team members' competence.

Dataset Information

A novel tool for patient data management in the ICU-Ensuring timely and accurate vital data exchange among ICU team members.

Objective

Methods

Results

Conclusion

Publications

A novel tool for patient data management in the ICU-Ensuring timely and accurate vital data exchange among ICU team members.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets