Synoptic tool for reporting of hematological and lymphoid neoplasms based on World Health Organization classification and College of American Pathologists checklist

Synoptic operative reporting in cancer surgery: A scoping review

BACKGROUND

Narrative operative reports (NOR) are important for cancer management but often lack key information. This review investigated the efficacy of synoptic operative reports (SORs) for cancer operations compared to NORs.

METHODS

A database search included published studies up to October 31, 2021. Overall report completeness and reporting frequencies of cancer elements were descriptively compared between NORs and SORs.

RESULTS

Among 4353 studies, 32 were included. 47% of studies compared NORs to SORs. Overall completeness favored SORs (80 ± 19%) over NORs (47 ± 18%, p < 0.001). Essential cancer operative report elements including tumor location (NOR: 51 ± 28%, SOR: 89 ± 11%, p < 0.001), presence of metastases (NOR: 36 ± 33%, SOR: 96 ± 5%, p < 0.001), and final resection margins (NOR: 39 ± 30%, SOR: 87 ± 17%, p < 0.001) demonstrated higher mean reporting frequencies in SORs.

CONCLUSION

Overall completeness and reporting of cancer elements were superior in SORs. Although standardization of SORs requires further research, transition from NORs to SORs may improve the quality of postoperative cancer care.

Toward a Platform for Structured Data Acquisition in Oncology: A Pilot Study on Prostate Cancer Screening

INTRODUCTION

Physicians spend an ever-rising amount of time to collect relevant information from highly variable medical reports and integrate them into the patient's health condition.

OBJECTIVES

We compared synoptic reporting based on data elements to narrative reporting in order to evaluate its capabilities to collect and integrate clinical information.

METHODS

We developed a novel system to align medical reporting to data integration requirements and tested it in prostate cancer screening. We compared expenditure of time, data quality, and user satisfaction for data acquisition, integration, and evaluation.

RESULTS

In a total of 26 sessions, 2 urologists, 2 radiologists, and 2 pathologists conducted the diagnostic work-up for prostate cancer screening with both narrative reporting and the novel system. The novel system led to a significantly reduced time for collection and integration of patient information (91%, p < 0.001), reporting in radiology (44%, p < 0.001) and pathology (33%, p = 0.154). The system usage showed a high positive effect on evaluated data quality parameters completeness, format, understandability, as well as user satisfaction.

CONCLUSION

This study provides evidence that synoptic reporting based on data elements is effectively reducing time for collection and integration of patient information. Further research is needed to assess the system's impact for different patient journeys.

A Synoptic Reporting System to Monitor Bone Marrow Aspirate and Biopsy Quality

Objectives:

Bone marrow evaluation plays a critical role in the diagnosis, staging, and monitoring of many diseases. Although there are standardized guidelines for assessing bone marrow specimen quality, there is a lack of evidence-based tools to perform such assessments. The objective was to monitor bone marrow sample quality in real time by standardizing the basic components of a synoptic report and incorporating it into a bone marrow report template.

Materials and Methods:

A relational database of bone marrow quality parameters was developed and incorporated into our laboratory information system bone marrow report template, with data entry completed during specimen sign out. Data from multiple reports created within a date range were extracted by Structured Query Language query, and summarized in tabular form. Reports generated from these data were utilized in quality improvement efforts.

Results:

The synoptic reporting system was routinely used to record the quality of bone marrow specimens from adult patients. Data from 3189 bone marrow aspirates, 3302 biopsies, and 3183 biopsy touch imprints identified hemodilution as the principal issue affecting bone marrow aspirate quality, whereas aspiration artifact and fragmentation affected bone marrow biopsy quality.

Conclusions:

The bone marrow synoptic reporting process was easy to use, readily adaptable, and has proved a useful component of the overall quality assurance process to optimize bone marrow quality.

Laboratory assessment of multiple myeloma

Laboratory testing plays an essential role in the diagnosis and management of patients with multiple myeloma. A variety of chemistry and molecular assays are routinely used to monitor patient progress, response to treatment and relapse. Here, we have reviewed current literature and core guidelines on the details of laboratory testing in myeloma-related investigations. This includes the use and value of protein electrophoresis, serum free light chain and cytogenetic testing. Furthermore, we discuss other traditional chemistry assays essential to myeloma investigation, and potential interferences that may arise due to the disease nature of myeloma, that is, the presence of a monoclonal immunoglobulin. Finally, we discuss the importance of communication in protein electrophoresis results, where laboratorians are required to relate clinically relevant myeloma-relevant information to the ordering physician on the background of a complex pattern of serum or urine proteins. Laboratory testing in myeloma-related investigation relies on several traditional chemistry assays. However, we anticipate new tests and technologies to become available in the future with improved analytical sensitivity, as well as improved clinical sensitivity in identifying patients who are at high risk of progression to multiple myeloma.

Can the completeness of radiological cancer staging reports be improved using proforma reporting? A prospective multicentre non-blinded interventional study across 21 centres in the UK

OBJECTIVES

Following a diagnosis of cancer, the detailed assessment of prognostic stage by radiology is a crucial determinant of initial therapeutic strategy offered to patients. Pretherapeutic stage by imaging is known to be inconsistently documented. We tested whether the completeness of cancer staging radiology reports could be improved through a nationally introduced pilot of proforma-based reporting for a selection of six common cancers.

DESIGN

Prospective interventional study comparing the completeness of radiology cancer staging reports before and after the introduction of proforma reporting.

SETTING

Twenty-one UK National Health Service hospitals.

PARTICIPANTS

1283 cancer staging radiology reports were submitted.

MAIN OUTCOME MEASURES

Radiology staging reports across the six cancers types were evaluated before and after the implementation of proforma-based reporting. Report completeness was assessed using scoring forms listing the presence or absence of predetermined key staging data. Qualitative data regarding proforma implementation and usefulness were collected from questionnaires provided to radiologists and end-users.

RESULTS

Electronic proforma-based reporting was successfully implemented in 15 of the 21 centres during the evaluation period. A total of 787 preproforma and 496 postproforma staging reports were evaluated. In the preproforma group, only 48.7% (5586/11 470) of key staging items were present compared with 87.3% (6043/6920) in the postproforma group. Thus, the introduction of proforma reporting produced a 78% improvement in staging completeness . This increase was seen across all cancer types and centres. The majority of participants found proforma reporting improved cancer reporting quality for their clinical practice .

CONCLUSION

The implementation of proforma reporting results in a significant improvement in the completeness of cancer staging reports. Proforma-based assessment of cancer stage enables objective comparisons of patient outcomes across centres. It should therefore become an auditable quality standard for cancer care.

An Automated Draft Report Generator for Peripheral Blood Smear Examinations Based on Complete Blood Count Parameters

Background

Complete blood count (CBC) results play an important role in peripheral blood smear (PBS) examinations. Many descriptions in PBS reports may simply be translated from CBC parameters. We developed a computer program that automatically generates a PBS draft report based on CBC parameters and age- and sex-matched reference ranges.

Methods

The Java programming language was used to develop a computer program that supports a graphical user interface. Four hematology analyzers from three different laboratories were tested: Sysmex XE-5000 (Sysmex, Kobe, Japan), Sysmex XN-9000 (Sysmex), DxH800 (Beckman Coulter, Brea, CA, USA), and ADVIA 2120i (Siemens Healthcare Diagnostics, Eschborn, Germany). Input data files containing 862 CBC results were generated from hematology analyzers, middlewares, or laboratory information systems. The draft reports were compared with the content of input data files.

Results

We developed a computer program that reads CBC results from a data file and automatically writes a draft PBS report. Age- and sex-matched reference ranges can be automatically applied. After examining PBS, users can modify the draft report based on microscopic findings. Recommendations such as suggestions for further evaluations are also provided based on morphological findings, and they can be modified by users. The program was compatible with all four hematology analyzers tested.

Conclusions

Our program is expected to reduce the time required to manually incorporate CBC results into PBS reports. Systematic inclusion of CBC results could help improve the reliability and sensitivity of PBS examinations.

Synoptic operative reporting for laparoscopic cholecystectomy and pancreaticoduodenectomy: A multi institutional pilot study evaluating completeness and surgeon perceptions

BACKGROUND

Synoptic operative reports (SOR) are more accurate than dictated operative reports (DOR) in a few single institution experiences. We sought to examine the completeness of SOR for laparoscopic cholecystectomy (LC) and pancreaticoduodenectomy (PD) in a multi institutional pilot study.

METHODS

Six institutions participated in SOR submission via a web-based survey. One institution collected DOR and case matched historical dictated operative reports (HOR) for subset analysis. A checklist evaluated completeness of all reports. A post-survey assessed participant opinions.

RESULTS

40 PD SORs were 98.5% complete and 35 LC SORs were 99.7% complete. Single institution subset analysis respective percent complete were: 11 PD SORs 99%, DORs 70% and HORs 74% and 14 LC SORs 99.7%, DORs 76%, and HORs 75%. Post-survey results yielded 10 PD and 24 LC responses. An overwhelming majority agreed that SOR were easy to use and would prefer to use SOR compared to DOR.

CONCLUSION

SOR are more complete than both study associated DOR and HOR. The majority of surgeons indicated their preference for SOR and their willingness to use them.

Performance of a Web-based Method for Generating Synoptic Reports

CONTEXT

The College of American Pathologists (CAP) requires synoptic reporting of all tumor excisions.

OBJECTIVE

To compare the performance of different methods of generating synoptic reports.

METHODS

Completeness, amendment rates, rate of timely ordering of ancillary studies (KRAS in T4/N1 colon carcinoma), and structured data file extraction were compared for four different synoptic report generating methods.

RESULTS

Use of the printed tumor protocols directly from the CAP website had the lowest completeness (84%) and highest amendment (1.8%) rates. Reformatting these protocols was associated with higher completeness (94%, P < 0.001) and reduced amendment (1%, P = 0.20) rates. Extraction into a structured data file was successful 93% of the time. Word-based macros improved completeness (98% vs. 94%, P < 0.001) but not amendment rates (1.5%). KRAS was ordered before sign out 89% of the time. In contrast, a web-based product with a reminder flag when items were missing, an embedded flag for data extraction, and a reminder to order KRAS when appropriate resulted in improved completeness (100%, P = 0.005), amendment rates (0.3%, P = 0.03), KRAS ordering before sign out (100%, P = 0.23), and structured data extraction (100%, P < 0.001) without reducing the speed (P = 0.34) or accuracy (P = 1.00) of data extraction by the reader.

CONCLUSION

Completeness, amendment rates, ancillary test ordering rates, and data extraction rates vary significantly with the method used to construct the synoptic report. A web-based method compares favorably with all other methods examined and does not reduce reader usability.

College of American Pathologists Cancer Protocols: Optimizing Format for Accuracy and Efficiency

CONTEXT

-The data in College of American Pathologists cancer protocols have to be presented effectively to health care providers. There is no consensus on the format of those protocols, resulting in various designs among pathologists. Cancer protocols are independently created by site-specific experts, so there is inconsistent wording and repetition of data. This lack of standardization can be confusing and may lead to interpretation errors.

OBJECTIVE

-To define a synopsis format that is effective in delivering essential pathologic information and to evaluate the aesthetic appeal and the impact of varying format styles on the speed and accuracy of data extraction.

DESIGN

-We queried individuals from several health care backgrounds using varying formats of the fallopian tube protocol of the College of American Pathologists without content modification to investigate their aesthetic appeal, accuracy, efficiency, and readability/complexity. Descriptive statistics, an item difficulty index, and 3 tests of readability were used.

RESULTS

-Columned formats were aesthetically more appealing than justified formats (P < .001) and were associated with greater accuracy and efficiency. Incorrect assumptions were made about items not included in the protocol. Uniform wording and short sentences were associated with better performance by participants.

CONCLUSIONS

-Based on these data, we propose standardized protocol formats for cancer resections of the fallopian tube and the more-familiar colon, employing headers, short phrases, and uniform terminology. This template can be easily and minimally modified for other sites, standardizing format and verbiage and increasing user accuracy and efficiency. Principles of human factors engineering should be considered in the display of patient data.

Comparison of Accuracy and Speed of Information Identification by Nonpathologists in Synoptic Reports With Different Formats

CONTEXT

- The College of American Pathologists requires synoptic reports for specific types of pathology reports.

OBJECTIVE

- To compare the accuracy and speed of information retrieval in synoptic reports of different formats.

DESIGN

- We assessed the performance of 28 nonpathologists from 4 different types of users (cancer registrars, MDs, medical non-MDs, and nonmedical) at identifying specific information in various formatted synoptic reports, using a computerized quiz that measured both accuracy and speed.

RESULTS

- There was no significant difference in the accuracy of data identification for any user group or in any format. While there were significant differences in raw time between users, these were eliminated when normalized times were used. Compared with the standard format of a required data element (RDE) and response on 1 line, both a list of responses without an RDE (21%, P < .001) and a paired response with more concise text (33%, P < .001) were significantly faster. In contrast, both the 2-line format (RDE header on one line, response indented on the second line) (12%, P < .001) and a report with the RDE response pairs in a random order were significantly slower (16%, P < .001).

CONCLUSIONS

- There are significant differences in ease of use by nonpathologists between different synoptic report formats. Such information may be useful in deciding between different format options.

Specialized Laboratory Information Systems

Some laboratories or laboratory sections have unique needs that traditional anatomic and clinical pathology systems may not address. A specialized laboratory information system (LIS), which is designed to perform a limited number of functions, may perform well in areas where a traditional LIS falls short. Opportunities for specialized LISs continue to evolve with the introduction of new testing methodologies. These systems may take many forms, including stand-alone architecture, a module integrated with an existing LIS, a separate vendor-supplied module, and customized software. This article addresses the concepts underlying specialized LISs, their characteristics, and in what settings they are found.

Health System-Level Factors Influence the Implementation of Complex Innovations in Cancer Care

BACKGROUND

The movement of new knowledge and tools into healthcare settings continues to be a slow, complex and poorly understood process. In this paper, we present the system-level factors important to the implementation of synoptic reporting tools in two initiatives (or cases) in Nova Scotia, Canada.

METHODS

This study used case study methodology. Data were collected through interviews with key informants, document analysis, non-participant observation and tool use/examination. Analysis involved production of case histories, analysis of each case and a cross-case analysis.

RESULTS

The healthcare system's delivery and support structure, information technology infrastructure, policy environment and history of collaboration and inter-organizational relationships influenced tool implementation in the two cases.

CONCLUSIONS

The findings provide an in-depth, nuanced understanding of how healthcare system components can influence the implementation of a new tool in clinical practice.

KneeTex: an ontology-driven system for information extraction from MRI reports

BACKGROUND

In the realm of knee pathology, magnetic resonance imaging (MRI) has the advantage of visualising all structures within the knee joint, which makes it a valuable tool for increasing diagnostic accuracy and planning surgical treatments. Therefore, clinical narratives found in MRI reports convey valuable diagnostic information. A range of studies have proven the feasibility of natural language processing for information extraction from clinical narratives. However, no study focused specifically on MRI reports in relation to knee pathology, possibly due to the complexity of knee anatomy and a wide range of conditions that may be associated with different anatomical entities. In this paper we describe KneeTex, an information extraction system that operates in this domain.

METHODS

As an ontology-driven information extraction system, KneeTex makes active use of an ontology to strongly guide and constrain text analysis. We used automatic term recognition to facilitate the development of a domain-specific ontology with sufficient detail and coverage for text mining applications. In combination with the ontology, high regularity of the sublanguage used in knee MRI reports allowed us to model its processing by a set of sophisticated lexico-semantic rules with minimal syntactic analysis. The main processing steps involve named entity recognition combined with coordination, enumeration, ambiguity and co-reference resolution, followed by text segmentation. Ontology-based semantic typing is then used to drive the template filling process.

RESULTS

We adopted an existing ontology, TRAK (Taxonomy for RehAbilitation of Knee conditions), for use within KneeTex. The original TRAK ontology expanded from 1,292 concepts, 1,720 synonyms and 518 relationship instances to 1,621 concepts, 2,550 synonyms and 560 relationship instances. This provided KneeTex with a very fine-grained lexico-semantic knowledge base, which is highly attuned to the given sublanguage. Information extraction results were evaluated on a test set of 100 MRI reports. A gold standard consisted of 1,259 filled template records with the following slots: finding, finding qualifier, negation, certainty, anatomy and anatomy qualifier. KneeTex extracted information with precision of 98.00 %, recall of 97.63 % and F-measure of 97.81 %, the values of which are in line with human-like performance.

CONCLUSIONS

KneeTex is an open-source, stand-alone application for information extraction from narrative reports that describe an MRI scan of the knee. Given an MRI report as input, the system outputs the corresponding clinical findings in the form of JavaScript Object Notation objects. The extracted information is mapped onto TRAK, an ontology that formally models knowledge relevant for the rehabilitation of knee conditions. As a result, formally structured and coded information allows for complex searches to be conducted efficiently over the original MRI reports, thereby effectively supporting epidemiologic studies of knee conditions.

Specialized Laboratory Information Systems

Some laboratories or laboratory sections have unique needs that traditional anatomic and clinical pathology systems may not address. A specialized laboratory information system (LIS), which is designed to perform a limited number of functions, may perform well in areas where a traditional LIS falls short. Opportunities for specialized LISs continue to evolve with the introduction of new testing methodologies. These systems may take many forms, including stand-alone architecture, a module integrated with an existing LIS, a separate vendor-supplied module, and customized software. This article addresses the concepts underlying specialized LISs, their characteristics, and in what settings they are found.

Ordo ab Chao: framework for an integrated disease report

CONTEXT

The volume of information that must be assimilated to appropriately manage patients with complex or chronic disease can make this task difficult because of the number of data points, their variable temporal availability, and the fact that they may reside in different systems or even institutions. OBJECTIVE .- To outline a framework for building an integrated disease report (IDR) that takes advantage of the capabilities of electronic reporting to create a single, succinct, interpretative report comprising all disease pertinent data.

DESIGN

Disease pertinent data of an IDR include pathology results, laboratory and radiology data, pathologic correlations, risk profiles, and therapeutic implications. We used cancer herein as a representative process for proposing what is, to our knowledge, the first example of standardized guidelines for such a report. The IDR was defined as a modular, dynamic, electronic summary of the most current state of a patient in regard to a particular illness such as lung cancer or diabetes, which includes all information relevant for patient management.

RESULTS

We propose the following 11 core data concepts that an IDR should include: patient identification; patient demographics; disease, diagnosis, and prognosis; tumor board dispositions and decisions; graphic timeline; preresection workup and therapy; resection workup; interpretative comment summarizing pertinent findings; biobanking data; postresection workup; and disease and patient status at follow-up.

CONCLUSIONS

A well-executed IDR should improve patient care and efficiency for health care team members. It would demonstrate the added value of pathology interpretation and likely contribute to a reduction in errors and improved patient safety by decreasing the risk that important data will be overlooked.

Interpretation of coagulation test results using a web-based reporting system

BACKGROUND

Web-based synoptic reporting has been successfully integrated into diverse fields of pathology, improving efficiency and reducing typographic errors. Coagulation is a challenging field for practicing pathologists and pathologists-in-training alike.

OBJECTIVE

To develop a Web-based program that can expedite the generation of a individualized interpretive report for a variety of coagulation tests.

METHODS

We developed a Web-based synoptic reporting system composed of 119 coagulation report templates and 38 thromboelastography (TEG) report templates covering a wide range of findings.

RESULTS

Our institution implemented this reporting system in July 2011; it is currently used by pathology residents and attending pathologists. Feedback from the users of these reports have been overwhelmingly positive. Surveys note the time saved and reduced errors.

CONCLUSION

Our easily accessible, user-friendly, Web-based synoptic reporting system for coagulation is a valuable asset to our laboratory services.

Multi-level factors influence the implementation and use of complex innovations in cancer care: a multiple case study of synoptic reporting

BACKGROUND

The implementation of innovations (i.e., new tools and practices) in healthcare organizations remains a significant challenge. The objective of this study was to examine the key interpersonal, organizational, and system level factors that influenced the implementation and use of synoptic reporting tools in three specific areas of cancer care.

METHODS

Using case study methodology, we studied three cases in Nova Scotia, Canada, wherein synoptic reporting tools were implemented within clinical departments/programs. Synoptic reporting tools capture and present information about a medical or surgical procedure in a structured, checklist-like format and typically report only items critical for understanding the disease and subsequent impacts on patient care. Data were collected through semi-structured interviews with key informants, document analysis, nonparticipant observation, and tool use/examination. Analysis involved production of case histories, in-depth analysis of each case, and a cross-case analysis. Numerous techniques were used during the research design, data collection, and data analysis stages to increase the rigour of this study.

RESULTS

The analysis revealed five common factors that were particularly influential to implementation and use of synoptic reporting tools across the three cases: stakeholder involvement, managing the change process (e.g., building demand, communication, training and support), champions and respected colleagues, administrative and managerial support, and innovation attributes (e.g., complexity, compatibility with interests and values). The direction of influence (facilitating or impeding) of each of these factors differed across and within cases.

CONCLUSIONS

The findings demonstrate the importance of a multi-level contextual analysis to gaining both breadth and depth to our understanding of innovation implementation and use in health care. They also provide new insights into several important issues under-reported in the literature on moving innovations into healthcare practice, including the role of middle managers in implementation efforts and the importance of attending to the interpersonal aspects of implementation.

Text mining of cancer-related information: review of current status and future directions

PURPOSE

This paper reviews the research literature on text mining (TM) with the aim to find out (1) which cancer domains have been the subject of TM efforts, (2) which knowledge resources can support TM of cancer-related information and (3) to what extent systems that rely on knowledge and computational methods can convert text data into useful clinical information. These questions were used to determine the current state of the art in this particular strand of TM and suggest future directions in TM development to support cancer research.

METHODS

A review of the research on TM of cancer-related information was carried out. A literature search was conducted on the Medline database as well as IEEE Xplore and ACM digital libraries to address the interdisciplinary nature of such research. The search results were supplemented with the literature identified through Google Scholar.

RESULTS

A range of studies have proven the feasibility of TM for extracting structured information from clinical narratives such as those found in pathology or radiology reports. In this article, we provide a critical overview of the current state of the art for TM related to cancer. The review highlighted a strong bias towards symbolic methods, e.g. named entity recognition (NER) based on dictionary lookup and information extraction (IE) relying on pattern matching. The F-measure of NER ranges between 80% and 90%, while that of IE for simple tasks is in the high 90s. To further improve the performance, TM approaches need to deal effectively with idiosyncrasies of the clinical sublanguage such as non-standard abbreviations as well as a high degree of spelling and grammatical errors. This requires a shift from rule-based methods to machine learning following the success of similar trends in biological applications of TM. Machine learning approaches require large training datasets, but clinical narratives are not readily available for TM research due to privacy and confidentiality concerns. This issue remains the main bottleneck for progress in this area. In addition, there is a need for a comprehensive cancer ontology that would enable semantic representation of textual information found in narrative reports.

The impact of template format on the completeness of surgical pathology reports

CONTEXT

The College of American Pathologists Cancer Case Summaries templates provide a method for including all necessary pathology information in surgical pathology reports with cancer. How effective these templates are at ensuring a complete report, as measured by a separate outside tumor registry, is not known.

OBJECTIVE

To determine factors that correlate with the completeness of the pathology report.

DESIGN

All surgical pathology reports from our hospital (Baptist Hospital of Miami, Miami, Florida) that used templates from January 2004 through February 2013 were reviewed and assessed for completeness by an outside tumor registry.

RESULTS

From 2004 through June 2012, 6139 surgical pathology reports were completed using the template, but only 5151 reports (84%) were complete. For the period January 2012 through June 2012, experienced pathologists who filled out at least 50 templates (n = 3) had a significantly higher completeness rate (187 of 206; 91%) than did pathologists who filled out less than 50 templates (n = 3; 23 of 35; 65%, P < .001) or pathologists who were new to the templates (n = 1; 81 of 104, 78%; P = .002). When the templates were changed by the elimination of all optional information, sequential numbering of all necessary items, and bolding the distance from the closest margin, completeness significantly improved to 98% (313 of 320, P < .001). The improvement remained constant for the 6 months after the changes in format.

CONCLUSIONS

The introduction of simple formatting changes was associated with significantly improved completeness of pathology reports that use the College of American Pathologists Cancer Case Summaries.

Exploring the usefulness of two conceptual frameworks for understanding how organizational factors influence innovation implementation in cancer care

Moving knowledge into practice and the implementation of innovations in health care remain significant challenges. Few researchers adequately address the influence of organizations on the implementation of innovations in health care. The aims of this article are to (1) present 2 conceptual frameworks for understanding the organizational factors important to the successful implementation of innovations in health care settings; (2) discuss each in relation to the literature; and (3) briefly demonstrate how each may be applied to 3 initiatives involving the implementation of a specific innovation-synoptic reporting tools-in cancer care. Synoptic reporting tools capture information from diagnostic tests, surgeries, and pathology examinations in a standardized, structured manner and contain only the information necessary for patient care. The frameworks selected were the Promoting Action on Research Implementation in Health Services framework and an organizational framework of innovation implementation; these frameworks arise from different disciplines (nursing and management, respectively). The constructs from each framework are examined in relation to the literature, with each construct applied to synoptic reporting tool implementation to demonstrate how each may be used to inform both practice and research in this area. By improving our understanding of existing frameworks, we enhance our ability to more effectively study and target implementation processes.

Adequacy of pathology reports of specimens from patients with differentiated thyroid cancer

This study aims to investigate the adequacy of pathology reports of specimens from patients with differentiated thyroid cancer (DTC) operated in our institution. Retrospective analysis of the pathology reports of all patients diagnosed with DTC in our area, from 1 January 2006 through 30 June 2011, was done. Sixty-eight patients were diagnosed with DTC. All reports were descriptive. In all the reports, but one, one or more core data items (according to the Royal College of Pathologists) were missing. Information about 1 and 2 items was lacking in 7.4 and 42.6 % of the reports, respectively. The rest were missing three or more data. Lymphovascular invasion, histology subtype, and completeness of excision were, in this order, the three most frequently omitted data. Sometimes, the information in question was not explicitly expressed but could be extrapolated from the data available. The pathology reports of DTC specimens frequently miss some of the information considered necessary to provide a comprehensive patient care.

Identifying primary and recurrent cancers using a SAS-based natural language processing algorithm

Objective

Significant limitations exist in the timely and complete identification of primary and recurrent cancers for clinical and epidemiologic research. A SAS-based coding, extraction, and nomenclature tool (SCENT) was developed to address this problem.

Materials and methods

SCENT employs hierarchical classification rules to identify and extract information from electronic pathology reports. Reports are analyzed and coded using a dictionary of clinical concepts and associated SNOMED codes. To assess the accuracy of SCENT, validation was conducted using manual review of pathology reports from a random sample of 400 breast and 400 prostate cancer patients diagnosed at Kaiser Permanente Southern California. Trained abstractors classified the malignancy status of each report.

Results

Classifications of SCENT were highly concordant with those of abstractors, achieving κ of 0.96 and 0.95 in the breast and prostate cancer groups, respectively. SCENT identified 51 of 54 new primary and 60 of 61 recurrent cancer cases across both groups, with only three false positives in 792 true benign cases. Measures of sensitivity, specificity, positive predictive value, and negative predictive value exceeded 94% in both cancer groups.

Discussion

Favorable validation results suggest that SCENT can be used to identify, extract, and code information from pathology report text. Consequently, SCENT has wide applicability in research and clinical care. Further assessment will be needed to validate performance with other clinical text sources, particularly those with greater linguistic variability.

Conclusion

SCENT is proof of concept for SAS-based natural language processing applications that can be easily shared between institutions and used to support clinical and epidemiologic research.

Exploring the interpersonal-, organization-, and system-level factors that influence the implementation and use of an innovation-synoptic reporting-in cancer care

Background

The dominant method of reporting findings from diagnostic and surgical procedures is the narrative report. In cancer care, this report inconsistently provides the information required to understand the cancer and make informed patient care decisions. Another method of reporting, the synoptic report, captures specific data items in a structured manner and contains only items critical for patient care. Research demonstrates that synoptic reports vastly improve the quality of reporting. However, synoptic reporting represents a complex innovation in cancer care, with implementation and use requiring fundamental shifts in physician behaviour and practice, and support from the organization and larger system. The objective of this study is to examine the key interpersonal, organizational, and system-level factors that influence the implementation and use of synoptic reporting in cancer care.

Methods

This study involves three initiatives in Nova Scotia, Canada, that have implemented synoptic reporting within their departments/programs. Case study methodology will be used to study these initiatives (the cases) in-depth, explore which factors were barriers or facilitators of implementation and use, examine relationships amongst factors, and uncover which factors appear to be similar and distinct across cases. The cases were selected as they converge and differ with respect to factors that are likely to influence the implementation and use of an innovation in practice. Data will be collected through in-depth interviews, document analysis, observation of training sessions, and examination/use of the synoptic reporting tools. An audit will be performed to determine/quantify use. Analysis will involve production of a case record/history for each case, in-depth analysis of each case, and cross-case analysis, where findings will be compared and contrasted across cases to develop theoretically informed, generalisable knowledge that can be applied to other settings/contexts. Ethical approval was granted for this study.

Discussion

This study will contribute to our knowledge base on the multi-level factors, and the relationships amongst factors in specific contexts, that influence implementation and use of innovations such as synoptic reporting in healthcare. Such knowledge is critical to improving our understanding of implementation processes in clinical settings, and to helping researchers, clinicians, and managers/administrators develop and implement ways to more effectively integrate innovations into routine clinical care.

Web-based synoptic reporting for cancer checklists

Background:

The surgical pathology report remains the primary source for information to guide the treatment of patients with cancer. Failure to report critical elements in a cancer report is an increasing problem in pathology because of the heightened complexity of these reports and number of elements that are important for patient care. The American College of Surgeons Commission on Cancer (ACS-CoC) in concert with the College of American Pathologists (CAP) developed checklists that contain all of the scientifically validated data elements that are to be reported for cancer specimens. Most institutions do not as of yet have pathology information systems in which CAP checklists are embedded into the laboratory information system (LIS). Entering the required elements often requires extensive text editing, secretarial support and deletion of extraneous elements that can be an arduous task.

Materials and Methods:

We sought to develop a web-based system that was available throughout the workstations in our department and was capable of generating synoptic reports based on the CAP guidelines. The program was written in a manner that allowed automatic generation of the web-based checklists through a parsing algorithm.

Results:

Multiple web-based synoptic report generators have been developed to encompass required elements of cancer synoptic reports as required by the ACS-CoC/ CAP. In addition, utilizing the same program, report generators for certain molecular tests (KRAS mutation) and FISH studies (UroVysion^tm) have also been developed. The output of these reports can be cut-and-pasted into any text-based anatomic pathology LIS. In addition, the elements can be compiled in a database.

Conclusions:

We describe a simple method to automate the development of web-based synoptic reports that can be entered into the anatomic pathology LIS and database.

A synoptic reporting system for peripheral blood smear interpretation

Web-based synoptic reporting systems have been shown to improve efficiency, reduce turnaround time, and decrease reporting errors in reports of surgical pathology specimens and hematologic neoplasms and bone marrow. No such system has been previously described for the reporting of peripheral blood smears. We developed a Web-based synoptic reporting system composed of a knowledge base encompassing 150 peripheral blood smear report templates covering a wide range of findings. This system was used at our institution, The University of Texas Medical School at Houston, by pathology residents under the supervision of an attending pathologist to generate peripheral blood smear reports. This system was found to produce a significant reduction in typographic errors with decreased turnaround time and improved accuracy. This synoptic reporting system can help practicing pathologists and pathology trainees to draft a complete and concise report.

A decade of experience in the development and implementation of tissue banking informatics tools for intra and inter-institutional translational research

Context:

Tissue banking informatics deals with standardized annotation, collection and storage of biospecimens that can further be shared by researchers. Over the last decade, the Department of Biomedical Informatics (DBMI) at the University of Pittsburgh has developed various tissue banking informatics tools to expedite translational medicine research. In this review, we describe the technical approach and capabilities of these models.

Design:

Clinical annotation of biospecimens requires data retrieval from various clinical information systems and the de-identification of the data by an honest broker. Based upon these requirements, DBMI, with its collaborators, has developed both Oracle-based organ-specific data marts and a more generic, model-driven architecture for biorepositories. The organ-specific models are developed utilizing Oracle 9.2.0.1 server tools and software applications and the model-driven architecture is implemented in a J2EE framework.

Result:

The organ-specific biorepositories implemented by DBMI include the Cooperative Prostate Cancer Tissue Resource (http://www.cpctr.info/), Pennsylvania Cancer Alliance Bioinformatics Consortium (http://pcabc.upmc.edu/main.cfm), EDRN Colorectal and Pancreatic Neoplasm Database (http://edrn.nci.nih.gov/) and Specialized Programs of Research Excellence (SPORE) Head and Neck Neoplasm Database (http://spores.nci.nih.gov/current/hn/index.htm). The model-based architecture is represented by the National Mesothelioma Virtual Bank (http://mesotissue.org/). These biorepositories provide thousands of well annotated biospecimens for the researchers that are searchable through query interfaces available via the Internet.

Conclusion:

These systems, developed and supported by our institute, serve to form a common platform for cancer research to accelerate progress in clinical and translational research. In addition, they provide a tangible infrastructure and resource for exposing research resources and biospecimen services in collaboration with the clinical anatomic pathology laboratory information system (APLIS) and the cancer registry information systems.

Usefulness of a synoptic data tool for reporting of head and neck neoplasms based on the College of American Pathologists cancer checklists

The primary source of information that clinicians use when evaluating and managing patients with cancer is the surgical pathology report. Omission of critical information from the report is a recognized problem in pathology, especially considering the expanding amount of information, such as molecular diagnostics data, that is now routinely included in reports. To standardize surgical pathology reports, the College of American Pathologists (CAP) introduced the CAP checklists. In 2004, the American College of Surgeons Commission on Cancer mandated that 90% of pathology reports indicating a cancer diagnosis at participating centers contain all scientifically validated or regularly used data elements. The University of Pittsburgh Medical Center has implemented synoptic reporting based on the CAP checklists for all major tumor types. We report our experience with synoptic reporting on head and neck neoplasms, demonstrating, in particular, how this can be customized according to needs of each institution.