Indiana University Center for the Business of Life Sciences (CBLS) |
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Center for the Business of Life Sciences Kelley School of Business 1275 E. Tenth Street, CG 3100 Bloomington, IN 47405 Contact: lifesc@indiana.edu |
Education and Research |
Role(s) | The Center for the Business of Life Sciences (CBLS) was started with the belief that life sciences companies are essential economic drivers for growth and development. CBLS brings together students, faculty, and life science companies to serve as a springboard for life science business-focused research, student recruitment into the life sciences industries and a forum for academic-industry life-sciences networking. |
Mission | • Identify and solve the most pressing life sciences business problems through rigorous, data-driven academic research. • To attract top students in careers in life sciences and develop them into strong future leaders for the life sciences industry • Provide a forum allowing companies and other corporate partners to connect with industry-focused students • Deliver world-class executive education that builds knowledge and develops executive skills in the business side of the life sciences industries |
History | CBLS is an Indiana University Kelley School of Business center focusing on education and research in partnership with life science’s industries organizations. The current research arm was established in 2019. |
Org | CBLS Leadership • Center Director: George Telthorst • Associate Director: Kelli Conder • Co-Director, Life Sciences Faculty Research: Jonathan Helm • Co-Director, Life Sciences Faculty Research: George Ball |
Board | CBLS enjoys an active board of industry advisors from the top life sciences companies in Indiana. The board advises CBLS by sharing real-word life sciences business experiences. Board membership also allows life sciences companies to access top student talent. The firms involved include Eli Lilly, Amplified Sciences, Zimmer Biomet, United Animal Health, Elevance Health, Roche Diagnostics, and BioCrossroads, among several others. |
Faculty Fellows | CBLS connects top life sciences companies with world-leading life sciences business researchers. Academic faculty fellows explore cutting edge life sciences business problems that address issues such as clinical trial effectiveness, healthcare IT organizational change, patient flow through healthcare facilities, healthcare economics, and FDA regulatory policy, among many other topics. |
Data Sources | CBLS is actively building a repository of life sciences data sets, both those that are publicly available, and those that are proprietary to Indiana University faculty researchers. Please check back soon for more information. |
Research and Data Analysis Capabilities | • Descriptive, Predictive and Prescriptive analytics • Collect and clean unstructured data • Textual analysis and machine learning • Decision support and optimization modeling • Empirical analysis |
Projects | Past projects include (1) a collaboration with IU Health to develop COVID-19 predictive analytics to support strategic planning during the pandemic, (2) a collaboration with IU Health to develop a dashboard using data-driven predictive analytics and decision support optimization to support the new Delta Coverage internal travel nursing program. |
Future Focus | • Continue to develop and expand capabilities to contribute to cutting-edge health sciences research • Build new partnerships with researchers in health and medicine • Develop methodological innovations to improve the quality and cost-effectiveness of research • Increase awareness of best practices in conducting high-quality research |
Talent Development | CBLS is actively engages life sciences organizations that professional development opportunities in business analytics through hands-on collaboration. CBLS engages in student education and research opportunities, mentorship, and job placement, as well as ongoing recruitment of talented faculty whose research area is in the life sciences. |
Data Sharing Agreements | CBLS, in collaboration with IU general counsel, is currently working on a structure for streamlining collaborative research agreements with life sciences partners. |
The Center for the Business of Life Sciences has substantial expertise in numerous areas around health-data. The following is a partial list that will continue to be developed. Please use it to identify experts where it would be helpful to partner. If you need to change an entry or add additional entries please contact lifesc@indiana.edu.
Name | Research Field | Life Sciences Domain (What areas of the life sciences to you do research in) | Research Interests (List your research interests that relate to the life sciences) | Methods (List the type of methods you use) |
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George Ball |
Operations and Supply Chain
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FDA regulatory policy, pharmaceutical quality, drug shortages, medical device quality and innovation | FDA-related recalls, quality, shortages, executive decision-making biases | Econometrics, secondary data, experimentation |
Hilol Bala | Information systems & technology | Impact of technologies on hospital performance, doctor/nurse productivity, and other healthcare outcomes | Impact of technologies/digitalizations on organizational and individual outcomes | Econometrics, secondary data, experimentation, surveys, case studies (qualitative) |
Kurt Bretthauer | Operations and Supply Chain | Healthcare | Nurse staffing | Modeling, optimization |
Christopher Chen | Operations and Supply Chain | Alternative payment models, provider organizational structure, healthcare | Provider incentives on operations and patient outcomes, demand forecasting/management | Econometrics, primary/secondary data, machine learning |
Helen Colby | Marketing | Healthcare, Pharmaceuticals | Vaccine incentives, health decision-making, self-control and goals, information effects | Empirical and statistical analysis |
Jonathan Helm | Operations and Supply Chain | Healthcare, Pharmaceuticals, Medical Devices | Hospital Operations, AI for Personalized Medicine, Substance Use Disorder | Prediction, Optimization, and Decision Support |
Krista Li | Marketing | Pharmaceuticals | Product Design, Behavior-Based Targeting, New Product Development, Innovation | Game Theory, Behavioral Economics, Empirical Modeling |
Haizhen Lin | Health economics and firm organization | Health insurance, hospitals, medical devices | Physician behavior, hospital decisions, GPOs | Econometric analysis of data |
Paola Martin | Operations and Supply Chain | Healthcare, Pharmaceuticals | Organ transplant management, vaccine financing, vendor financing | Mathematical models |
Jorge Mejia | Information systems & technology | Healthcare, pharmaceuticals | Physician payment and healthcare costs, pharmaceutical supply chains | Econometric analysis of data, machine learning, statistics |
Rob Neal | Risk Management and ML | Predictive models for adverse events | Healthcare clustering ,transitions, and dynamics | Deep clustering, LSTM, sequence-to-sequence |
RJ Niewoehner | Operations and Supply Chain | Healthcare and Hospital Operations | Clinician productivity, behavior, discretion | Empirical/econometric methods, including field experiments and archival data analysis |
Rodney Parker | Operations and Supply Chain | Healthcare | Clinical decision making, transplant operations, payment policies | Optimization, Game theory |
Aaron Perry | Operations and Supply Chain | Healthcare and hospital operations | Improving healthcare delivery process through data analytics | Optimization and data analytics |
Phil Powell | Health Economics | Business models for health services delivery | Physician behavior, disruptive innovation in health care, public policy | Econometrics, case studies |
Lucy Yan | Health IT and H2.0 | Health management, healthcare | Mhealth in promoting healthcare engagement | Econometric methods, machine learning, field experiments |