Gap Identification Research Articles

Competencies in an electronic trial master file used in clinical trials

AbstractThis study is an action research that combined theories and practices through change and reflection in a problematic situation in a real organization. A pilot research in an organizational case in Thailand indicated critical gaps in enterprise content management (ECM), called an electronic trial master file (eTMF), which resulted in challenges in eTMF implementation. The primary gap, in people's areas, was lack of competencies and performances. Therefore, the research objective following the gap identification was to enhance human capital that includes competencies and performances in the eTMF. The research combined the theories of human capital, the Fifth Discipline: shared vision, competency‐based management, and practices in real organizations. A focus group and quantitative analysis approach were applied in this research. The research participants comprised 25 employees: the country manager, experts, the assistant, and users of the eTMF. The results presented the competencies in which user participation was critical for establishing the appropriate competencies to support the achievement of the performance. The competencies in the eTMF consisted of 3 dimensions comprising knowledge, skills, and attributes, with 11 competencies concerning the components in ECM and the specific organizational ECM context. This research contributed to the workplace, pharmaceutical industry, and academics by providing approaches to enhance human capital in ECM in case people were the primary area. The research contributed to the gap identification that guided the ways to improve performance in an ECM. In addition, this research proposed human capital management concepts by providing approaches to enhance human capital during the ECM adoption phase.

Gap identification in coastal eutrophication research – Scoping review for the Baltic system case

Coastal eutrophication is a major issue worldwide, also affecting the Baltic Sea and its coastal waters. Effective management responses to coastal eutrophication require good understanding of the interacting coastal pressures from land, the open sea, and the atmosphere, and associated coastal ecosystem impacts. In this study, we investigate how research on Baltic coastal eutrophication has handled these interactions so far and what key research gaps still remain. We do this through a scoping review, identifying 832 scientific papers with a focus on Baltic coastal eutrophication. These are categorized in terms of study focus, methods, and consideration of coastal system components and land-coast-sea interactions. The coastal component categories include coastal functions (including also socio-economic driver aspects), pressures that are natural (or mediated by a natural process or system) or directly anthropogenic, and management responses.The classification results show that considerably more studies focus on coastal eutrophication pressures (52%) or impacts (39%) than on characterizing the coastal eutrophication itself (20%). Moreover, few studies investigate pressures and impacts together, indicating that feedbacks are understudied. Regarding methods, more studies focus on data collection (62%) than on linking and synthetic methods (44%; e.g., modelling), and very few studies use remote sensing (6%) or participatory (3%) methods. Coastal links with land and open sea are mentioned but much less investigated. Among the coastal functions, studies considering ecological aspects are dominant, but much fewer studies investigate human aspects and the coastal filter function. Among the coastal pressures, studies considering nutrient loads are dominant, but much fewer studies investigate the sources of these loads, especially long-lived legacy sources and possible solutions for their mitigation. Overall, few studies investigate synergies, trade-offs and incentives for various solutions to address cross-scale multi-solution management.

Listeners are sensitive to the speech breathing time series: Evidence from a gap detection task

The effect of non-speech sounds, such as breathing noise, on the perception of speech timing is currently unclear. In this paper we report the results of three studies investigating participants' ability to detect a silent gap located adjacent to breath sounds during naturalistic speech. Experiment 1 (n = 24, in-person) asked whether participants could either detect or locate a silent gap that was added adjacent to breath sounds during speech. In Experiment 2 (n = 182; online), we investigated whether different placements within an utterance were more likely to elicit successful detection of gaps. In Experiment 3 (n = 102; online), we manipulated the breath sounds themselves to examine the effect of breath-specific characteristics on gap identification. Across the study, we document consistent effects of gap duration, as well as gap placement. Moreover, in Experiment 2, whether a gap was positioned before or after an interjected breath significantly predicted accuracy as well as the duration threshold at which gaps were detected, suggesting that nonverbal aspects of audible speech production specifically shape listeners' temporal expectations. We also describe the influences of the breath sounds themselves, as well as the surrounding speech context, that can disrupt objective gap detection performance. We conclude by contextualising our findings within the literature, arguing that the verbal acoustic signal is not “speech itself” per se, but rather one part of an integrated percept that includes speech-related respiration, which could be more fully explored in speech perception studies.

A Customized Electronic Health Record-Based Tool Highlights and Addresses Gaps in Patient Safety.

The authors present a tool to improve gaps in patient safety using the electronic health record. The tool integrates gap identification, passive alerts, and actions into a single interface embedded within clinicians' workflow. The tool was developed to address venous thromboembolism prophylaxis, prevention of hypo- and hyperglycemia, code status documentation, bowel movement frequency, and skilled nursing facility transitions. Alerts and actions during silent and live periods were retrospectively analyzed. The most prevalent safety gaps were lack of venous thromboembolism prophylaxis (40.4% of alerts), constipation (19.3%), and lack of code status (18.4%). Disparities in safety gaps were present by patient race, sex, and socioeconomic status. Usability testing showed positive feedback without significant alert burden. Thus, a safety gap tool was successfully built to study and address patient safety issues. The tool's strengths are its integration within the electronic health record, ease of use, customizability, and scalability.

Evaluating risk, exposure, and detection capabilities for chemical threats in water

ABSTRACT The unexpected release of chemicals into the environment requires estimation of human health risks, followed by risk management decisions. When environmental concentrations of toxicants are associated with adverse health risks, the limit for analytical measurement needs to be at or below the risk threshold. The aim of this study was to assess chemical contaminants that have the potential to produce acute adverse human health impacts following oral consumption of contaminated drinking water. The U.S. Environmental Protection Agency’s (EPA) Candidate Contaminant List, version 4 (CCL4) and EPA’s Selected Analytical Methods (SAM) document were screened to identify 24 chemicals that exist as a solid or liquid at room temperature, with acute oral LD50 (lethal dose in 50% of the test population) values < 500 mg/kg-d and water solubility > 500 mg/L at ambient temperature. While these screening criteria were used to identify prioritized needs for targeted research, it does not imply that other chemicals on the CCL4 and SAM lists are not issues in acute and chronic exposures. Of these 24 most toxic and most soluble chemicals, this evaluation identified 6 chemicals (2-chlorovinylarsonous acid, lewisite, N-nitrosopyrrolidine, N-nitrosodiethylamine, 3-hydroxycarbofuran, and triethylamine) lacking either sufficient toxicity value information or analytical sensitivity required to detect at levels protective against adverse effects in adults for acute exposures. This assessment provides an approach for gap identification and highlights research needs related to water contamination incident involving these six priority chemicals.

Cybersecurity Challenges in Blockchain Technology: A Scoping Review

Blockchain technology (BCT) is an emerging technology. Cybersecurity challenges in BCT are being explored to add greater value to business processes and reshape business operations. This scoping review paper was aimed at exploring the current literature’s scope and categorizing various types of cybersecurity challenges in BCT. Databases such as Elsevier, ResearchGate, IEEE, ScienceDirect, and ABI/INFORM Collection (ProQuest) were searched using a combination of terms, and after rigorous screening, 51 research studies were found relevant. Data coding was performed following a framework proposed for scoping review. After careful analysis, thirty different types of cybersecurity challenges in BCT were categorized into six standardized classes. Our results show that most of the studies disclose cybersecurity challenges in BCT generally without pointing to any specific industry sector, and to a very little extent, few papers reveal cybersecurity challenges in BCT related to specific industry sectors. Also, prior studies barely investigated the strategies to minimize cybersecurity challenges in BCT. Based on gap identification, future research avenues were proposed for scholars.

Using qualitative research for curricular redesign of communication skills training in a dental school: From gap identification to leveraging stakeholder voices for facilitating change

Using qualitative research for curricular redesign of communication skills training in a dental school: From gap identification to leveraging stakeholder voices for facilitating change

Gap Identification of Sustainable Consumption and Product Development: Insights from Indian Scenario

Gap Identification of Sustainable Consumption and Product Development: Insights from Indian Scenario

Identification of Circumferential Pulmonary Vein Isolation Gaps and Critical Atrial Substrate From HD Grid Maps in Atrial Fibrillation Patients: Insights From Omnipolar Technology

Identification of Circumferential Pulmonary Vein Isolation Gaps and Critical Atrial Substrate From HD Grid Maps in Atrial Fibrillation Patients: Insights From Omnipolar Technology

Detection and Identification of Expansion Joint Gap of Road Bridges by Machine Learning Using Line-Scan Camera Images

Recently, the lack of expansion joint gaps on highway bridges in Korea has been increasing. In particular, with the increase in the number of days during the summer heatwave, the narrowing of the expansion joint gap causes symptoms such as expansion joint damage and pavement blow-up, which threaten traffic safety and structural safety. Therefore, in this study, we developed a machine vision (M/V)-technique-based inspection system that can monitor the expansion joint gap through image analysis while driving at high speed (100 km/h), replacing the current manual method that uses an inspector to inspect the expansion joint gap. To fix the error factors of image analysis that happened during the trial application, a machine learning method was used to improve the accuracy of measuring the gap between the expansion joint device. As a result, the expansion gap identification accuracy was improved by 27.5%, from 67.5% to 95.0%, and the use of the system reduces the survey time by more than 95%, from an average of approximately 1 h/bridge (existing manual inspection method) to approximately 3 min/bridge. We assume, in the future, maintenance practitioners can contribute to preventive maintenance that prepares countermeasures before problems occur.

Are clinicians using routinely collected data to drive practice improvement? A cross-sectional survey

Clinical registry participation is a measure of healthcare quality. Limited knowledge exists on Australian hospitals' participation in clinical registries and whether this registry data informs quality improvement initiatives. To identify participation in clinical registries, determine if registry data inform quality improvement initiatives, and identify registry participation enablers and clinicians' educational needs to improve use of registry data to drive practice change. A self-administered survey was distributed to staff coordinating registries in seven hospitals in New South Wales, Australia. Eligible registries were international-, national- and state-based clinical, condition-/disease-specific and device/product registries. Response rate was 70% (97/139). Sixty-two (64%) respondents contributed data to 46 eligible registries. Registry reports were most often received by nurses (61%) and infrequently by hospital executives (8.4%). Less than half used registry data 'always' or 'often' to influence practice improvement (48%) and care pathways (49%). Protected time for data collection (87%) and benchmarking (79%) were 'very likely' or 'likely' to promote continued participation. Over half 'strongly agreed' or 'agreed' that clinical practice improvement training (79%) and evidence-practice gap identification (77%) would optimize use of registry data. Registry data are generally only visible to local speciality units and not routinely used to inform quality improvement. Centralized on-going registry funding, accessible and transparent integrated information systems combined with data informed improvement science education could be first steps to promote quality data-driven clinical improvement initiatives.

Improving quality of care for pregnancy, perinatal and newborn care at district and sub-district public health facilities in three districts of Haryana, India: An Implementation study.

IntroductionImproving quality of care (QoC) for childbirth and sick newborns is critical for maternal and neonatal mortality reduction. Information on the process and impact of quality improvement at district and sub-district hospitals in India is limited. This implementation research was prioritized by the Haryana State (India) to improve the QoC for maternal and newborn care at the busy hospitals in districts.MethodsThis study at nine district and sub-district referral hospitals in three districts (Faridabad, Rewari and Jhajjar) during April 2017-March 2019 adopted pre-post, quasi-experimental study design and plan-do-study-act quality improvement method. During the six quarterly plan-do-study-act cycles, the facility and district quality improvement teams led the gap identification, solution planning and implementation with external facilitation. The external facilitators monitored and collected data on indicators related to maternal and newborn service availability, patient satisfaction, case record quality, provider’s knowledge and skills during the cycles. These indicators were compared between baseline (pre-intervention) and endline (post-intervention) cycles for documenting impact.ResultsThe interventions closed 50% of gaps identified, increased the number of deliveries (1562 to 1631 monthly), improved care of pregnant women in labour with hypertension (1.2% to 3.9%, p<0.01) and essential newborn care services at birth (achieved ≥90% at most facilities). Antenatal identification of high-risk pregnancies increased from 4.1% to 8.8% (p<0.01). Hand hygiene practices improved from 35.7% to 58.7% (p<0.01). The case record completeness improved from 66% to 87% (p<0.01). The time spent in antenatal clinics declined by 19–42 minutes (p<0.01). The pooled patient satisfaction scores improved from 82.5% to 95.5% (p<0.01). Key challenges included manpower shortage, staff transfers, leadership change and limited orientation for QoC.ConclusionThis multipronged quality improvement strategy improved the maternal and newborn services, case documentation and patient satisfaction at district and sub-district hospitals. The processes and lessons learned shall be useful for replicating and scaling up.

Identification and measurement of gaps within sugarcane rows for site-specific management: Comparing different sensor-based approaches

Identifying gaps within sugarcane rows is an effective strategy to optimise inputs using site-specific approaches. This work aimed to compare four different sensor-based techniques to identify and measure sugarcane gaps.Specifically, it was analysed three strategies with sensors (vegetative index, ultrasonic, photoelectric) mounted on a tractor, and one strategy using an RGB camera on-boarded to a remotely piloted aircraft (RPA); the latter being the current commercial method. Field trials were performed during four crop stages of development: 19, 31, 47, and 59 days after harvest (DAH). The successful gap identification was evaluated by accuracy, precision, and recall. We use the root-mean-square error (RMSE) to evaluate sensors in measuring the length of the gaps. All sensor-based techniques had accuracy between 80% and 92% in identifying the gaps at 31 and 47 DAH. At 19 DAH, the sensor-based methods overestimate the number of gaps, and at 59 DAH, there was an underestimation of gaps. The photoelectric sensor has the best performance in measuring the length of the gaps (RMSE ≤ 0.18 m) with the least variation in RMSE over the stage of sugarcane development. The vegetative index sensor (VIS) and RPA images had similar performance, with the RMSE ranging between 0.11 and 0.40 m. The canopy of the plants in the 47 and 59 DAH affected these two methodologies. The larger is the plant canopy, the lower is their ability to identify and measure the gaps. • Aerial image and ground sensors are tested to identify and measure sugarcane gaps. • Measurement error, accuracy and precision in identifying the gaps were calculated. • Temporal evaluation of sensor during four different stages of sugarcane development. • The four approaches overestimate the number of gaps in the initial stage of sugarcane growth. • The sensors had best accuracy and precision at 31 and 47 days after harvest.

Pemilihan Metode dan Algoritma dalam Analisis Sentimen di Media Sosial : Sistematic Literature Review

This article use Systematic Literature Review (SLR) to classify sentiment analysis based on case studies, methods, social media, and platforms. The coding stage is divided into three stages, namely the open, selective and axial coding. The literature study on sentiment analysis is divided into two parts: identifying gaps based on case studies and data sources and identifying gaps based on the methods or algorithms used. The gap identification results based on case studies and data sources show that popular review topics are synonymous with entertainment, economic and political content. Therefore, the quantity of research with review topics related to the implementation of education, the dynamics of the bureaucracy, health facilities and services, and non-governmental organization’s activities need to be increased. Meanwhile, the most dominant platforms used as data sources are website and mobile-based applications. The results of the gap identification based on the method and algorithm show that the quantity of research with the Naive Bayes Classifier (NBC) and Support Vector Machine (SVM) method or algorithm is more dominant than the k-Nearest Neighbor (k-NN) and Lexicon-based. Thus, it is necessary to increase the number of other classification methods such as Particle Swarm Optimization, BM25, Decision Tree, K-Means, and Neural Networks.

IHR-PVS National Bridging Workshops, a tool to operationalize the collaboration between human and animal health while advancing sector-specific goals in countries.

Collaborative, One Health approaches support governments to effectively prevent, detect and respond to emerging health challenges, such as zoonotic diseases, that arise at the human-animal-environmental interfaces. To overcome these challenges, operational and outcome-oriented tools that enable animal health and human health services to work specifically on their collaboration are required. While international capacity and assessment frameworks such as the IHR-MEF (International Health Regulations-Monitoring and Evaluation Framework) and the OIE PVS (Performance of Veterinary Services) Pathway exist, a tool and process that could assess and strengthen the interactions between human and animal health sectors was needed. Through a series of six phased pilots, the IHR-PVS National Bridging Workshop (NBW) method was developed and refined. The NBW process gathers human and animal health stakeholders and follows seven sessions, scheduled across three days. The outputs from each session build towards the next one, following a structured process that goes from gap identification to joint planning of corrective measures. The NBW process allows human and animal health sector representatives to jointly identify actions that support collaboration while advancing evaluation goals identified through the IHR-MEF and the OIE PVS Pathway. By integrating sector-specific and collaborative goals, the NBWs help countries in creating a realistic, concrete and practical joint road map for enhanced compliance to international standards as well as strengthened preparedness and response for health security at the human-animal interface.

Workflows and clinical utilization of dynamic mapping data in radiofrequency catheter ablation of cardiac arrhythmias

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Previous publications suggest that the use of high-density (HD) mapping leads to better substrate visualization and may lead to improved procedural outcomes. A novel dynamic mapping software, utilizes the HD grid mapping catheter (HD Grid) to display beat-to-beat, dynamic regional mapping data (LiveView). Incorporation of real-time dynamic mapping data into routine mapping/ablation workflows may further enhance the clinical benefits of HD mapping during radiofrequency (RF) catheter ablation procedures. Purpose To examine the clinical utility and common workflows when dynamic mapping data was used during RF ablation procedures among operators with various experience levels. Methods Observational procedural data including procedure time, total RF time, and workflow preference were prospectively collected in catheter ablation cases utilizing LiveView from May to September 2020. Mapping and ablation strategies were determined at the operator’s discretion. Total percentage exceed 100% when multiple usage were reported. Results A total of 428 cases were collected from over 25 operators in 11 European countries. LiveView was used in a variety of cases including atrial fibrillation (paroxysmal and persistent), atrial flutter (typical and atypical), and VT (ischemic, non-ischemic, and idiopathic). Visualization of real-time mapping data from the current location of the HD Grid was commonly used after creation of traditional full-chamber maps (319/428, 74.5%). While operators in over 55% of the cases indicated that the use of dynamic display during mapping helped identify areas that were under ablated (238/428, 55.6%), using LiveView did not affect the lesion delivery strategies in those regions. LiveView was also used as a primary method for confirmation of pulmonary vein isolation (PVI) in 213 cases (49.8%). The most common reported usage of LiveView among the 428 cases analyzed was PVI confirmation/gap identification (75.2%), ablation line gap identification (41.1)%, and identification of breakthrough activation (23.6%) Conclusions This initial analysis demonstrated the diverse clinical utilization of LiveView dynamic display during RF catheter ablation procedures, including atrial and ventricular arrhythmias. Without causing significant changes to normal workflow, dynamic display of regional signals allows for rapid identification of ablation targets. When used during RF delivery, real-time assessment of regional activation patterns helped improve outcomes by rapidly identifying critical ablation location and ensuring successful lesion delivery. A further study that examines the impact of dynamic display on procedure efficacy may be warranted.

Assessment and incidence of PV gaps as determined by HD Grid and circular mapping catheters

Abstract Funding Acknowledgements Type of funding sources: None. Background Many tools and techniques are utilized to assess pulmonary vein isolation (PVI), such as evaluation of entrance and exit block, voltage mapping, and use of drugs such as adenosine. It is unclear which tools and techniques may provide greater sensitivity in the identification and elimination of pulmonary vein (PV) gaps, leading to better long-term outcomes. The HD Grid simultaneously records orthogonal bipolar EGMs to reduce directional sensitivity. Previously published data suggest that the use of HD Grid may improve sensitivity for gap identification. Purpose To determine, in a large cohort of procedures, the rate of gap detection when using HD Grid to check for PVI as compared to circular mapping catheters (CMC). Methods Anonymized, acute procedural data was prospectively collected in de novo AF ablation procedures in which either a 10- or 20-pole CMC or HD Grid catheter was used to assess PVI. Procedural data including gap detection and PVI assessment method were analyzed using chi-squared test. Results 559 cases from over 60 institutions in 8 countries were analyzed. Of the 559 cases, 47.4% (265/599) used HD Grid, and 52.6% (294/599) used a CMC. PV gaps were found in 52.5% (139/265) of HD Grid procedures and in 36.7% (108/294) of CMC procedures (p &amp;lt; 0.001). The most common PVI assessment method in both HD Grid and CMC groups was entrance/exit block (90.9%, 92.5%, respectively). Mapping as a post-ablation assessment method was used in 69.1% (183/265) of HD Grid procedures whereas it was only used in 42.8% (126/294) of CMC procedures (p &amp;lt; 0.001). Of the 183 HD Grid procedures that utilized mapping for PV assessment, 57.9% (106/183) used both voltage and activation mapping, 41.0% (75/183) used voltage only and 1.1% (2/183) used activation mapping only. Significantly more gaps were found in the HD Grid group that used both activation and voltage mapping (83.0%, 88/106) as compared to voltage mapping only (49.3%, 37/75, p &amp;lt; 0.001). At the end of the procedure, 95.8% of patients in the HD Grid group were in sinus rhythm, as compared to 84.7% of the CMC group. Conclusions While this analysis does not represent a direct comparison of the sensitivity of the two different technologies, HD Grid detected significantly more PV gaps compared to CMC in AF procedures. Previous publications have attributed similar findings to HD Grid’s ability to reduce voltage amplitude dependence on wavefront directionality. The significantly larger number of HD Grid cases that utilized mapping as a method of determining PVI could be explained by the need to maneuver the HD Grid around the circumference of the vein, which may naturally lead to map collection. This data also suggests that using both voltage and activation mapping identifies significantly more gaps as compared to only voltage mapping, however, further analysis could be warranted to better understand how these maps were collected and what map settings were used.

Electronic Health Records-Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study.

BackgroundProfessional society guidelines are emerging for cardiovascular care in cancer patients. However, it is not yet clear how effectively the cancer survivor population is screened and treated for cardiomyopathy in contemporary clinical practice. As electronic health records (EHRs) are now widely used in clinical practice, we tested the hypothesis that an EHR-based cardio-oncology registry can address these questions.ObjectiveThe aim of this study was to develop an EHR-based pragmatic cardio-oncology registry and, as proof of principle, to investigate care gaps in the cardiovascular care of cancer patients.MethodsWe generated a programmatically deidentified, real-time EHR-based cardio-oncology registry from all patients in our institutional Cancer Population Registry (N=8275, 2011-2017). We investigated: (1) left ventricular ejection fraction (LVEF) assessment before and after treatment with potentially cardiotoxic agents; and (2) guideline-directed medical therapy (GDMT) for left ventricular dysfunction (LVD), defined as LVEF<50%, and symptomatic heart failure with reduced LVEF (HFrEF), defined as LVEF<50% and Problem List documentation of systolic congestive heart failure or dilated cardiomyopathy.ResultsRapid development of an EHR-based cardio-oncology registry was feasible. Identification of tests and outcomes was similar using the EHR-based cardio-oncology registry and manual chart abstraction (100% sensitivity and 83% specificity for LVD). LVEF was documented prior to initiation of cancer therapy in 19.8% of patients. Prevalence of postchemotherapy LVD and HFrEF was relatively low (9.4% and 2.5%, respectively). Among patients with postchemotherapy LVD or HFrEF, those referred to cardiology had a significantly higher prescription rate of a GDMT.ConclusionsEHR data can efficiently populate a real-time, pragmatic cardio-oncology registry as a byproduct of clinical care for health care delivery investigations.

Study on the effect of internal marketing on service quality: Systematic Literature Review

The purpose of this paper is to synthesize the fragmented literature on effect of internal marketing on service quality, thereby broadening the literature breath and making gap identification comprehensive. Additionally, the paper also provides more insight of the concept of internal marketing, identifying aspects of it which has the most significant impact on service quality. The methodology of the research is based on systematic literature review which enabled to collect the relevant data pool to the research through PRISMA approach using existing literature. Main findings of the data revealed that internal marketing possesses a positive impact by 76% on service quality, where most significant factor contributing a positive impact being motivation and reward system. Furthermore, the marketing mix elements of internal marketing is also shown to enhance the quality of service. The research results also identified limitations revealing the gaps in the existing literature in terms of the topic. These gaps are recommended areas which can be further explored to enrich the academia. Moreover, the practical implications of the paper can benefit the world of business to embrace the concept of internal marketing to enhance the competitive edge through employees, a major asset of organizations.

Introduction of direct observation of procedural skills (DOPS) as a formative assessment tool during postgraduate training in anaesthesiology: Exploration of perceptions.

Background and Aims:Formative assessment of procedural skills of Anaesthesiology postgraduate (PG) students is not conducted conventionally. Direct observation of procedural skills (DOPS) helps to identify gaps in performance and provides structured feedback. The present study was taken to explore perceptions of PG students and faculty about DOPS.Methods:This mixed design interventional study was conducted on 12 PGs and 10 faculty members in Department of Anaesthesiology. After conducting DOPS, a pre-validated questionnaire was given to them about perceptions using 3-point Likert's scale along with open ended questions. Statistical analysis was done using descriptive statistics of perception to calculate percentages and themes were identified for qualitative data.Results:Responses of students were positive about skill improvement (83%), time provided (75%), feedback (100%), interaction (83%), motivation (83%), satisfaction (83%), effectiveness (83%) and opportunity creation (92%). Faculty responded positively regarding change in attitude (100%), effectiveness (100%), scope (90%), feasible application (90%), ease (90%), opportunity creation (80%), gap identification (100%), satisfaction (80%). However, 60% felt training was required, 50% thought more time and commitment was required. Themes identified were DOPS is comprehensive, interactive, student-friendly, good teaching-learning tool, identifies gaps, provides focus for learning, provides systematic constructive feedback, improves skills, prepares for future practice, requires planning, may not reflect competence, has assessor variability and can be included in PG curriculum.Conclusion:DOPS was perceived as an effective assessment and teaching-learning tool by PG students as well as faculty.