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The Boston Club is a private organization of women executives that looks to advance women to top leadership positions across all business sectors. The report notes "steady progress in the number of women chief executives" at the largest nonprofits in Massachusetts, as ranked by annual revenue. In 2013, women held 20 percent of those jobs. Massachusetts still ranks significantly lower than the sector overall, where 68 percent of the top slots are filled by women. There has been a slight increase in the number of Massachusetts nonprofits with three or more female board members--142 in 2017, up from 136 in 2015 and 124 in 2013. Women hold 35 percent of the board seats in those largest organizations, unchanged from the last report issued two years ago. The modest growth in the leadership and board ranks among the largest Massachusetts nonprofits stands in contrast to the 14 percent gain in annual revenue at those 150 organizations over the last two years. According to Third Sector New England, a Boston-based nonprofit advisor to nonprofits, women account for 68 percent of leaders and 59 percent of board members at Massachusetts nonprofits. Organizations with male CEOs had boards with an average of 33 percent women, compared to organizations with female CEOs, whose boards had 41 percent women directors. 94 percent of the 150 organizations have three or more women on their boards, an increase from 88 percent in 2015. Only three organizations have one woman on their boards, while five have two women directors. Twenty-six of the organizations have 50 percent or more women directors, representing an increase of five organizations over both the 2013 and 2015 reports. Only 10 percent of the CEOs of the 150 largest nonprofit organizations in Massachusetts self-report as people of color. Educational institutions serving only women, or founded to serve women, have more women on their boards. Nonprofits with more than $1 billion in annual revenue or those with the lowest revenues ($100 million or less) have the highest percentage of women CEOs, 38 percent and 36 percent respectively. Women account for nearly 35 percent of board members among nonprofits with $500 million to $999 million in revenue, up slightly from previous years. The organizations included in the study ranged from the smallest, South Middlesex Opportunity Council in Framingham, with annual revenue of $68 million, to the largest Partners HealthCare System in Boston, with annual revenue of $11 billion. The opportunity to join a board depended upon professional and nonprofit networks, The Boston Club reported, noting that major barriers to successful board engagement include board culture, gender composition of the board, and the board socialization process. "Despite the challenges, board service was considered inherently beneficial by providing personal development, professional skill development, and relationship development," the report notes. "Women emphasized that their board work was an overwhelmingly positive part of their lives, providing meaning and purpose." Babson College is the educator, convener, and thought leader for Entrepreneurship of All Kinds®. The top-ranked college for entrepreneurship education, Babson is a dynamic living and learning laboratory where students, faculty, and staff work together to address the real-world problems of business and society. We prepare the entrepreneurial leaders our world needs most: those with strong functional knowledge and the skills and vision to navigate change, accommodate ambiguity, surmount complexity, and motivate teams in a common purpose to make a difference in the world, and have an impact on organizations of all sizes and types. As we have for nearly a half-century, Babson continues to advance Entrepreneurial Thought & Action® as the most positive force on the planet for generating sustainable economic and social value. Provided by Newswise, online resource for knowledge-based news at www.newswise.com To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/women-make-gains-as-largest-massachusetts-nonprofit-leaders-babson-professors-greenberg-and-murphy-research-gender-and-racial-diversity-on-local-boards-300460245.html


News Article | May 19, 2017
Site: www.24-7pressrelease.com

BOSTON, MA, May 19, 2017-- W. Gerald Austen has been included in Marquis Who's Who. As in all Marquis Who's Who biographical volumes, individuals profiled are selected on the basis of current reference value. Factors such as position, noteworthy accomplishments, visibility, and prominence in a field are all taken into account during the selection process.Dr. Austen received his BS degree in mechanical engineering from the Massachusetts Institute of Technology and his MD degree from Harvard Medical School (HMS). He did his general surgery and cardiothoracic surgery residencies at the Massachusetts General Hospital (MGH) as well as completed additional training in England. Following two years of clinical and research work at the National Heart Institute, Dr. Austen returned to the MGH in 1963 to lead the development of modern heart surgery at the MGH. Over a very short period of time, he developed a world-class cardiac surgical program at the MGH. He became Professor of Surgery at HMS in 1966 at the age of 36 and was named the Churchill Professor of Surgery in 1974. Dr. Austen was appointed Chief of the Surgical Services at the MGH in 1969 at the age of 39; a position he held for almost 29 years and over that period he and his associates developed the MGH surgical program into one of the great departments of surgery in this country.Dr. Austen is internationally recognized for his contributions as a cardiac surgeon, teacher and clinical investigator. He has contributed greatly to the improved care of the cardiac surgical patient and to the understanding of the physiologic events that occur during open heart surgery. He was a pioneer in the surgical treatment of many of the complications of coronary artery disease and in the development of circulatory support systems to aid the failing heart.Dr. Austen was the Founding President and CEO of the Massachusetts General Physicians Organization, now the largest multi-specialty group practice in New England. He was the first MGH physician elected to the MGH Board of Trustees. Dr. Austen was a Founding Trustee of the Partners HealthCare System.Dr. Austen is a member of the National Academy of Medicine and a Fellow of the American Academy of Arts and Sciences. He has been President of a host of major national medical societies including the Association for Academic Surgery, the Society of University Surgeons, the American Surgical Association, the American Heart Association, the American Association for Thoracic Surgery and the American College of Surgeons. Other honors include the Gold Heart Award and the Paul Dudley White Heart Award of the American Heart Association, the Nathan Smith Distinguished Service Award of the New England Surgical Society, and Honorary Fellowship in the Royal College of Surgeons of England. He has been awarded four honorary doctoral degrees. At the time of Dr. Austen's retirement as Chief of Surgery at the MGH, the MGH Trustees honored Dr. Austen by awarding him the MGH Trustees Gold Medal and HMS recognized his many accomplishments by creating the W. Gerald Austen Chair in Surgery at HMS and the MGH.Dr. Austen continues to be very active in numerous roles at the MGH, HMS and throughout the Partners HealthCare System. He is Chairman of the MGH Chiefs' Council, and since 1980 he has served as Co-chair of the MGH Philanthropy Program. He continues to serve as the Churchill Distinguished Professor of Surgery at HMS and the MGH. In 2010 the MGH dedicated the 150 bed inpatient facility in the new Lunder building, the W. Gerald Austen, M.D. Inpatient Care Pavillion. In 2016, Dr. Austen was honored with the National Physician of the Year Lifetime Achievement Award by Castle Connolly Medical.About Marquis Who's Who :Since 1899, when A. N. Marquis printed the First Edition of Who's Who in America , Marquis Who's Who has chronicled the lives of the most accomplished individuals and innovators from every significant field of endeavor, including politics, business, medicine, law, education, art, religion and entertainment. Today, Who's Who in America remains an essential biographical source for thousands of researchers, journalists, librarians and executive search firms around the world. Marquis now publishes many Who's Who titles, including Who's Who in America , Who's Who in the World , Who's Who in American Law , Who's Who in Medicine and Healthcare , Who's Who in Science and Engineering , and Who's Who in Asia . Marquis publications may be visited at the official Marquis Who's Who website at www.marquiswhoswho.com Contact:Fred Marks844-394-6946


Murphy S.N.,Massachusetts General Hospital | Murphy S.N.,Harvard University | Murphy S.N.,Partners HealthCare System Inc. | Gainer V.,Partners HealthCare System Inc. | And 5 more authors.
Journal of the American Medical Informatics Association | Year: 2011

Background: The re-use of patient data from electronic healthcare record systems can provide tremendous benefits for clinical research, but measures to protect patient privacy while utilizing these records have many challenges. Some of these challenges arise from a misperception that the problem should be solved technically when actually the problem needs a holistic solution. Objective: The authors' experience with informatics for integrating biology and the bedside (i2b2) use cases indicates that the privacy of the patient should be considered on three fronts: technical de-identification of the data, trust in the researcher and the research, and the security of the underlying technical platforms. Methods: The security structure of i2b2 is implemented based on consideration of all three fronts. It has been supported with several use cases across the USA, resulting in five privacy categories of users that serve to protect the data while supporting the use cases. Results: The i2b2 architecture is designed to provide consistency and faithfully implement these user privacy categories. These privacy categories help reflect the policy of both the Health Insurance Portability and Accountability Act and the provisions of the National Research Act of 1974, as embodied by current institutional review boards. Conclusion: By implementing a holistic approach to patient privacy solutions, i2b2 is able to help close the gap between principle and practice.


Murphy S.N.,Massachusetts General Hospital | Murphy S.N.,Partners HealthCare System Inc. | Weber G.,Harvard University | Weber G.,Beth Israel Deaconess Medical Center | And 6 more authors.
Journal of the American Medical Informatics Association | Year: 2010

Informatics for Integrating Biology and the Bedside (i2b2) is one of seven projects sponsored by the NIH Roadmap National Centers for Biomedical Computing (http://www.ncbcs.org). Its mission is to provide clinical investigators with the tools necessary to integrate medical record and clinical research data in the genomics age, a software suite to construct and integrate the modern clinical research chart. i2b2 software may be used by an enterprise's research community to find sets of interesting patients from electronic patient medical record data, while preserving patient privacy through a query tool interface. Project-specific mini-databases ("data marts") can be created from these sets to make highly detailed data available on these specific patients to the investigators on the i2b2 platform, as reviewed and restricted by the Institutional Review Board. The current version of this software has been released into the public domain and is available at the URL: http://www.i2b2.org/software.


Klann J.G.,Massachusetts General Hospital | Klann J.G.,Harvard University | Klann J.G.,Partners Healthcare System Inc. | Anand V.,Indiana University | And 3 more authors.
Journal of the American Medical Informatics Association | Year: 2013

Objective Over 8 years, we have developed an innovative computer decision support system that improves appropriate delivery of pediatric screening and care. This system employs a guidelines evaluation engine using data from the electronic health record (EHR) and input from patients and caregivers. Because guideline recommendations typically exceed the scope of one visit, the engine uses a static prioritization scheme to select recommendations. Here we extend an earlier idea to create patient-tailored prioritization. Materials and methods We used Bayesian structure learning to build networks of association among previously collected data from our decision support system. Using area under the receiver-operating characteristic curve (AUC) as a measure of discriminability (a sine qua non for expected value calculations needed for prioritization), we performed a structural analysis of variables with high AUC on a test set. Our source data included 177 variables for 29 402 patients. Results The method produced a network model containing 78 screening questions and anticipatory guidance (107 variables total). Average AUC was 0.65, which is sufficient for prioritization depending on factors such as population prevalence. Structure analysis of seven highly predictive variables reveals both face-validity (related nodes are connected) and non-intuitive relationships. Discussion We demonstrate the ability of a Bayesian structure learning method to 'phenotype the population' seen in our primary care pediatric clinics. The resulting network can be used to produce patient-tailored posterior probabilities that can be used to prioritize content based on the patient's current circumstances. Conclusions This study demonstrates the feasibility of EHR-driven population phenotyping for patient-tailored prioritization of pediatric preventive care services.


Klann J.G.,Massachusetts General Hospital | Klann J.G.,Partners Healthcare System Inc. | Klann J.G.,Harvard University | Murphy S.N.,Massachusetts General Hospital | And 2 more authors.
Journal of Medical Internet Research | Year: 2013

Background: The Health Quality Measures Format (HQMF) is a Health Level 7 (HL7) standard for expressing computable Clinical Quality Measures (CQMs). Creating tools to process HQMF queries in clinical databases will become increasingly important as the United States moves forward with its Health Information Technology Strategic Plan to Stages 2 and 3 of the Meaningful Use incentive program (MU2 and MU3). Informatics for Integrating Biology and the Bedside (i2b2) is one of the analytical databases used as part of the Office of the National Coordinator (ONC)'s Query Health platform to move toward this goal. Objective: Our goal is to integrate i2b2 with the Query Health HQMF architecture, to prepare for other HQMF use-cases (such as MU2 and MU3), and to articulate the functional overlap between i2b2 and HQMF. Therefore, we analyze the structure of HQMF, and then we apply this understanding to HQMF computation on the i2b2 clinical analytical database platform. Specifically, we develop a translator between two query languages, HQMF and i2b2, so that the i2b2 platform can compute HQMF queries. Methods: We use the HQMF structure of queries for aggregate reporting, which define clinical data elements and the temporal and logical relationships between them. We use the i2b2 XML format, which allows flexible querying of a complex clinical data repository in an easy-to-understand domain-specific language. Results: The translator can represent nearly any i2b2-XML query as HQMF and execute in i2b2 nearly any HQMF query expressible in i2b2-XML. This translator is part of the freely available reference implementation of the QueryHealth initiative. We analyze limitations of the conversion and find it covers many, but not all, of the complex temporal and logical operators required by quality measures. Conclusions: HQMF is an expressive language for defining quality measures, and it will be important to understand and implement for CQM computation, in both meaningful use and population health. However, its current form might allow complexity that is intractable for current database systems (both in terms of implementation and computation). Our translator, which supports the subset of HQMF currently expressible in i2b2-XML, may represent the beginnings of a practical compromise. It is being pilot-tested in two Query Health demonstration projects, and it can be further expanded to balance computational tractability with the advanced features needed by measure developers.


Phansalkar S.,Brigham and Women's Hospital | Phansalkar S.,Partners Healthcare System Inc. | Phansalkar S.,Harvard University | Edworthy J.,University of Plymouth | And 7 more authors.
Journal of the American Medical Informatics Association | Year: 2010

The objective of this review is to describe the implementation of human factors principles for the design of alerts in clinical information systems. First, we conduct a review of alarm systems to identify human factors principles that are employed in the design and implementation of alerts. Second, we review the medical informatics literature to provide examples of the implementation of human factors principles in current clinical information systems using alerts to provide medication decision support. Last, we suggest actionable recommendations for delivering effective clinical decision support using alerts. A review of studies from the medical informatics literature suggests that many basic human factors principles are not followed, possibly contributing to the lack of acceptance of alerts in clinical information systems. We evaluate the limitations of current alerting philosophies and provide recommendations for improving acceptance of alerts by incorporating human factors principles in their design.


Zhou L.,Partners HealthCare System Inc.
AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium | Year: 2011

Clinical information is often coded using different terminologies, and therefore is not interoperable. Our goal is to develop a general natural language processing (NLP) system, called Medical Text Extraction, Reasoning and Mapping System (MTERMS), which encodes clinical text using different terminologies and simultaneously establishes dynamic mappings between them. MTERMS applies a modular, pipeline approach flowing from a preprocessor, semantic tagger, terminology mapper, context analyzer, and parser to structure inputted clinical notes. Evaluators manually reviewed 30 free-text and 10 structured outpatient clinical notes compared to MTERMS output. MTERMS achieved an overall F-measure of 90.6 and 94.0 for free-text and structured notes respectively for medication and temporal information. The local medication terminology had 83.0% coverage compared to RxNorm's 98.0% coverage for free-text notes. 61.6% of mappings between the terminologies are exact match. Capture of duration was significantly improved (91.7% vs. 52.5%) from systems in the third i2b2 challenge.


Shu T.,National Institute of Hospital Administration | Liu H.,Qinghua Changgeng Hospital | Goss F.R.,Tufts Medical Center | Yang W.,National Institute of Hospital Administration | And 5 more authors.
International Journal of Medical Informatics | Year: 2014

Heading: EHR adoption across China's tertiary hospitals: a cross-sectional observation study. Objectives: To assess electronic health record (EHR) adoption in Chinese tertiary hospitals using a nation-wide standard EHR grading model. Methods: The Model of EHR Grading (MEG) was used to assess the level of EHR adoption across 848 tertiary hospitals. MEG defines 37 EHR functions (e.g., order entry) which are grouped by 9 roles (e.g., inpatient physicians) and grades each function and the overall EHR adoption into eight levels (0-7). We assessed the MEG level of the involved hospitals and calculated the average score of the 37 EHR functions. A multivariate analysis was performed to explore the influencing factors (including hospital characteristics and information technology (IT) investment) of total score and scores of 9 roles. Results: Of the 848 hospitals, 260 (30.7%) were Level Zero, 102 (12.0%) were Level One, 269 (31.7%) were Level Two, 188 (22.2%) were Level Three, 23 (2.7%) were Level Four, 5 (0.6%) was Level Five, 1 (0.1%) were Level Six, and none achieved Level Seven. The scores of hospitals in eastern and western China were higher than those of hospitals in central areas. Bed size, outpatient admission, total income in 2011, percent of IT investment per income in 2011, IT investment in last 3 years, number of IT staff, and duration of EHR use were significant factors for total score. Conclusions: We examined levels of EHR adoption in 848 Chinese hospitals and found that most of them have only basic systems, around level 2 and 0. Very few have a higher score and level for clinical information using and sharing. © 2013 Elsevier Ireland Ltd.


Turchin A.,Partners HealthCare System Inc.
AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium | Year: 2011

Electronic prescribing can reduce certain types of medication errors but can also facilitate new types of errors. Internal prescription discrepancies arise when information in the structured (dose, frequency) fields conflicts with instructions given in the free-text field on the prescription, and are unique to electronic prescribing. It is not known whether internal prescription discrepancies lead to adverse events.We have conducted a case-control study to determine whether internal discrepancies in warfarin prescriptions are associated with an increased risk of hemorrhage. We compared frequency of internal discrepancies in warfarin prescriptions between 573 patients admitted for a major hemorrhage and 1,719 controls. In multivariable analysis case patients had the odds of 0.61 of having an internal discrepancy in the most recent warfarin prescription (p = 0.045) compared to controls.Consequences of EMR errors may not be obvious. Studies that directly examine clinical outcomes are necessary to identify categories of EMR errors likely to cause patient harm.

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