Dan Riskin

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Dan Riskin
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Dan Riskin, American entrepreneur and CEO of Verantos
Born (1971-10-15) October 15, 1971 (age 52)
Los Angeles, California
Alma mater

Dan Riskin is an American entrepreneur and surgeon. [1] As an expert in healthcare artificial intelligence, Riskin has promoted healthcare quality improvement and helped shape policy in the US and globally. [2] [3] Riskin's companies, featured in Forbes and The Wall Street Journal, have influenced the care of millions of patients. [4] He continues to practice, teach, and perform research as Clinical Professor of Surgery at Stanford University. [5]

Contents

Early life and education

Riskin was born on October 15, 1971, and grew up in Los Angeles, California. He began writing software at age 5, selling software at age 12, and winning regional awards in software programming during grammar school. [6] As a teenager, Riskin studied at Brentwood High School, where he received the Bausch and Lomb Outstanding Scientist Award. He began college at age 16 as a Regent’s Scholar at University of California. [7] He received a medical degree from Boston University and completed surgery residency at University of California, Los Angeles and a critical care and acute care surgery fellowship at Stanford University. He earned a MBA with focus in bioinformatics and bioengineering at the Massachusetts Institute of Technology. [8] Upon completion of his training in 2008, Riskin was promoted to Consulting Assistant Professor of Surgery at Stanford University. [9]

Business

While a student at MIT and Stanford in 2005, Riskin designed a painless wound closure device for which he later was issued US patents and FDA approval. [10] Riskin cofounded Wadsworth Medical Technologies, which commercialized the product under the Dermaloc brand. The company was acquired by DQ Holdings and the product was rebranded DermaClip for sales in the US and China. [11] The product has been used successfully on hundreds of thousands of patients. [12]

In 2011, Riskin founded and became CEO of Health Fidelity, a company which implements artificial intelligence to measure clinical quality and risk for value-based healthcare. As CEO, Riskin secured relationships with Harvard, Children’s Hospital of Philadelphia, and University of Pittsburgh Medical Center. He grew the company through three financing rounds. [13] Health Fidelity was acquired by Edifecs in a transaction valued in excess of $150 million. [14]

In 2015, Riskin founded and became CEO of Verantos, a company which applies artificial intelligence to newly available health data to generate high-validity real-world evidence, which uses clinical experience across millions of patients to offer insight into what treatments will work best for whom. Riskin was funded to pursue high-validity real-world evidence by the National Institutes of Health starting in 2015, the National Science Foundation in 2018, and the Food and Drug Administration in 2020. [15] [16] [17] Verantos names multiple top 10 life sciences firms as customers. The company was recognized as Bioinformatics Company of the Year in 2021 and was subsequently recognized by Inc 5000 and Deloitte Fast 500 as one of America's fastest growing private companies.

Policy and public service

Riskin has advocated a bipartisan approach to leverage clinical data to improve US healthcare quality. He described two decades of health data reform. The first, from 2010 - 2020, would institute electronic data capture and enable value-based healthcare. The second decade, from 2020 - 2030, would leverage the massive amounts of collected data to tailor therapy and enable personalized medicine.

Focusing on the first decade of healthcare data reform, capturing electronic information and improving value-based workflow, Riskin promoted a transition to electronic health records and use of data to improve care within the Obama Campaign Healthcare Advisory Committee starting in 2007. These efforts were enacted through the HITECH Act in 2009 and Affordable Care Act in 2010. Riskin's academic work "Re-examining health IT policy: What will it take to derive value from our investment?" encouraged national discussion on innovation and analytics. [18] He founded and built a company, Health Fidelity, with a vision to capture accurate electronic information and improve value-based workflow. [19]

Focusing on the second decade of healthcare data reform, tailoring therapy based on real world evidence, Riskin provided Congressional testimony in the 21st Century Cures Initiative in 2014. [20] He met in Congressional retreat to help refine the bill in 2015. [21] The 21st Century Cures Act, passed in December 2016, included a pathway to incorporate real-world evidence into regulatory decision-making. Riskin's academic work "Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies" described an approach to use advanced technology and data to enable credible real-world evidence. [22] He founded and built a company, Verantos, with a vision to refine the standard of care based on real-world evidence. [23]

Riskin has continued to focus national attention on healthcare quality through the HHS Quality Measurement Task Force, [24] in Centers for Medicare and Medicaid Services Grand Rounds, [25] in FDA Grand Rounds and workshops, [26] as a Congressionally-appointed member of the US Health IT Advisory Committee, [27] and through academic publication.

Related Research Articles

<span class="mw-page-title-main">Health care</span> Prevention of disease and promotion of well-being

Health care, or healthcare, is the improvement of health via the prevention, diagnosis, treatment, amelioration or cure of disease, illness, injury, and other physical and mental impairments in people. Health care is delivered by health professionals and allied health fields. Medicine, dentistry, pharmacy, midwifery, nursing, optometry, audiology, psychology, occupational therapy, physical therapy, athletic training, and other health professions all constitute health care. The term includes work done in providing primary care, secondary care, and tertiary care, as well as in public health.

<span class="mw-page-title-main">Health informatics</span> Computational approaches to health care

Health informatics is the study and implementation of computer structures and algorithms to improve communication, understanding, and management of medical information. It can be viewed as branch of engineering and applied science.

<span class="mw-page-title-main">Electronic health record</span> Digital collection of patient and population electronically stored health information

An electronic health record (EHR) is the systematized collection of patient and population electronically stored health information in a digital format. These records can be shared across different health care settings. Records are shared through network-connected, enterprise-wide information systems or other information networks and exchanges. EHRs may include a range of data, including demographics, medical history, medication and allergies, immunization status, laboratory test results, radiology images, vital signs, personal statistics like age and weight, and billing information.

A clinical decision support system (CDSS) is a health information technology that provides clinicians, staff, patients, and other individuals with knowledge and person-specific information to help health and health care. CDSS encompasses a variety of tools to enhance decision-making in the clinical workflow. These tools include computerized alerts and reminders to care providers and patients, clinical guidelines, condition-specific order sets, focused patient data reports and summaries, documentation templates, diagnostic support, and contextually relevant reference information, among other tools. CDSSs constitute a major topic in artificial intelligence in medicine.

Health technology is defined by the World Health Organization as the "application of organized knowledge and skills in the form of devices, medicines, vaccines, procedures, and systems developed to solve a health problem and improve quality of lives". This includes pharmaceuticals, devices, procedures, and organizational systems used in the healthcare industry, as well as computer-supported information systems. In the United States, these technologies involve standardized physical objects, as well as traditional and designed social means and methods to treat or care for patients.

Health information management (HIM) is information management applied to health and health care. It is the practice of analyzing and protecting digital and traditional medical information vital to providing quality patient care. With the widespread computerization of health records, traditional (paper-based) records are being replaced with electronic health records (EHRs). The tools of health informatics and health information technology are continually improving to bring greater efficiency to information management in the health care sector.

<span class="mw-page-title-main">Medical laboratory</span> Principles of management with special reference to medical science

A medical laboratory or clinical laboratory is a laboratory where tests are conducted out on clinical specimens to obtain information about the health of a patient to aid in diagnosis, treatment, and prevention of disease. Clinical medical laboratories are an example of applied science, as opposed to research laboratories that focus on basic science, such as found in some academic institutions.

mHealth Medicine and public health supported by mobile devices

mHealth is an abbreviation for mobile health, a term used for the practice of medicine and public health supported by mobile devices. The term is most commonly used in reference to using mobile communication devices, such as mobile phones, tablet computers and personal digital assistants (PDAs), and wearable devices such as smart watches, for health services, information, and data collection. The mHealth field has emerged as a sub-segment of eHealth, the use of information and communication technology (ICT), such as computers, mobile phones, communications satellite, patient monitors, etc., for health services and information. mHealth applications include the use of mobile devices in collecting community and clinical health data, delivery/sharing of healthcare information for practitioners, researchers and patients, real-time monitoring of patient vital signs, the direct provision of care as well as training and collaboration of health workers.

Health information technology (HIT) is health technology, particularly information technology, applied to health and health care. It supports health information management across computerized systems and the secure exchange of health information between consumers, providers, payers, and quality monitors. Based on a 2008 report on a small series of studies conducted at four sites that provide ambulatory care – three U.S. medical centers and one in the Netherlands, the use of electronic health records (EHRs) was viewed as the most promising tool for improving the overall quality, safety and efficiency of the health delivery system.

Patient participation is a trend that arose in answer to medical paternalism. Informed consent is a process where patients make decisions informed by the advice of medical professionals.

Clinical point of care (POC) is the point in time when clinicians deliver healthcare products and services to patients at the time of care.

John D. Halamka, M.D., M.S., is an American business executive and physician. He is president of the Mayo Clinic Platform, a group of digital and long-distance health care initiatives.

Digital health is a discipline that includes digital care programs, technologies with health, healthcare, living, and society to enhance the efficiency of healthcare delivery and to make medicine more personalized and precise. It uses information and communication technologies to facilitate understanding of health problems and challenges faced by people receiving medical treatment and social prescribing in more personalised and precise ways. The definitions of digital health and its remits overlap in many ways with those of health and medical informatics.

Health care quality is a level of value provided by any health care resource, as determined by some measurement. As with quality in other fields, it is an assessment of whether something is good enough and whether it is suitable for its purpose. The goal of health care is to provide medical resources of high quality to all who need them; that is, to ensure good quality of life, cure illnesses when possible, to extend life expectancy, and so on. Researchers use a variety of quality measures to attempt to determine health care quality, including counts of a therapy's reduction or lessening of diseases identified by medical diagnosis, a decrease in the number of risk factors which people have following preventive care, or a survey of health indicators in a population who are accessing certain kinds of care.

Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare; claims and cost data, pharmaceutical and research and development (R&D) data, clinical data, and patient behavior and sentiment data (patient behaviors and preferences,. Health care analytics is a growing industry in the United States, expected to grow to more than $31 billion by 2022. The industry focuses on the areas of clinical analysis, financial analysis, supply chain analysis, as well as marketing, fraud and HR analysis.

<span class="mw-page-title-main">21st Century Cures Act</span> Bill enacted by the 114th United States Congress

The 21st Century Cures Act is a United States law enacted by the 114th United States Congress in December 2016 and then signed into law on December 13, 2016. It authorized $6.3 billion in funding, mostly for the National Institutes of Health. The act was supported especially by large pharmaceutical manufacturers and was opposed especially by some consumer organizations.

Health data is any data "related to health conditions, reproductive outcomes, causes of death, and quality of life" for an individual or population. Health data includes clinical metrics along with environmental, socioeconomic, and behavioral information pertinent to health and wellness. A plurality of health data are collected and used when individuals interact with health care systems. This data, collected by health care providers, typically includes a record of services received, conditions of those services, and clinical outcomes or information concerning those services. Historically, most health data has been sourced from this framework. The advent of eHealth and advances in health information technology, however, have expanded the collection and use of health data—but have also engendered new security, privacy, and ethical concerns. The increasing collection and use of health data by patients is a major component of digital health.

Real-world evidence (RWE) in medicine is the clinical evidence regarding the usage and potential benefits or risks of a medical product derived from analysis of real-world data (RWD). RWE can be generated by different study designs or analyses, including but not limited to, randomized trials, including large simple trials, pragmatic trials, and retrospective or prospective observational studies. In the USA the 21st Century Cures Act required the FDA to expand the role of real world evidence.

Learning health systems (LHS) are health and healthcare systems in which knowledge generation processes are embedded in daily practice to improve individual and population health. At its most fundamental level, a learning health system applies a conceptual approach wherein science, informatics, incentives, and culture are aligned to support continuous improvement, innovation, and equity, and seamlessly embed knowledge and best practices into care delivery

Federal and state governments, insurance companies and other large medical institutions are heavily promoting the adoption of electronic health records. The US Congress included a formula of both incentives and penalties for EMR/EHR adoption versus continued use of paper records as part of the Health Information Technology for Economic and Clinical Health (HITECH) Act, enacted as part of the, American Recovery and Reinvestment Act of 2009.

References

  1. ↑ MIT Technology Review. ""MIT Technology Review", MIT Technology Review, 2005". MIT Technology Review. Retrieved August 2, 2014.
  2. ↑ "21st Century Technology for 21st Century Cures - Energy and Commerce Committee". Energy and Commerce Committee. Archived from the original on 2018-02-07. Retrieved 2018-02-07.
  3. ↑ "Taiwan Government Health Seminar". archive.eettaiwan.com. Retrieved 2018-02-07.
  4. ↑ "The Next Revolution in Healthcare". Forbes. Retrieved 2016-12-06.;Hay, Timothy. "Digging Into the Crucial Info Buried in Medical Data". The Wall Street Journal. Retrieved 2017-01-14.; "Big data: opportunity and challenge". Healthcare IT News. 2012-06-12. Retrieved 2016-12-06.
  5. ↑ "Dan Riskin's Profile | Stanford Profiles". profiles.stanford.edu. Retrieved 2024-02-02.
  6. ↑ ""Health Grades", Awards". Healthgrades.com. Retrieved January 26, 2012.
  7. ↑ "Dan Riskin". LinkedIn .
  8. ↑ "Stanford Biodesign Alumni Fellows". Stanford Byers Center for Biodesign. Retrieved 2 August 2014.
  9. ↑ "Public View of Stanford People Search". stanfordwho.stanford.edu. Archived from the original on 2017-03-14. Retrieved 2017-01-27.
  10. ↑ Riskin, Daniel J.; Fox, Andrew D.; Barenboym, Michael (April 17, 2012), United States Patent: 8157839 - Systems and methods for closing a tissue opening , retrieved August 29, 2022
  11. ↑ "DQ Holdings, LLC - DermaClip, L.L.C." www.dqholdings.com. Retrieved 2017-01-27.
  12. ↑ "Xconomy: DermaClip Ramps Up for U.S. Sales Push of Wound-Healing Device". Xconomy. 2019-01-23. Retrieved 2019-09-03.
  13. ↑ "Health Fidelity REVEAL Improves Information Exchange by Extracting Value from Unstructured Clinical Data". EMR Daily News. 2012-04-26. Archived from the original on 2017-02-02. Retrieved 2017-01-27.; "Health Fidelity Receives NSF Grant to Support Big Data Research". HITECH Answers. 2013-02-20. Archived from the original on 2017-02-02. Retrieved 2017-01-27.;PR Newswire. "Health Fidelity Closes Series A Financing Round" . Retrieved February 26, 2015.; "UPMC Makes Strategic Investment in Health Fidelity to Develop Technologies that Advance Value-Based Healthcare". www.prnewswire.com. Retrieved 2016-11-06.
  14. ↑ "Edifecs completes acquisition of Health Fidelity". Healthcare IT News. 2021-12-21. Retrieved 2023-08-15.
  15. ↑ "Project Information - NIH RePORTER - NIH Research Portfolio Online Reporting Tools Expenditures and Results". projectreporter.nih.gov. Retrieved 2016-10-09.; "Project Information - NIH RePORTER - NIH Research Portfolio Online Reporting Tools Expenditures and Results". projectreporter.nih.gov. Retrieved 2016-10-09.
  16. ↑ "NSF Award Search: Award#1819388 - SBIR Phase I: Determination of complex outcome measures using narrative clinical data to enable observational trials". www.nsf.gov. Retrieved 2019-09-03.
  17. ↑ Verantos. "Verantos Receives FDA Support to Demonstrate Advanced Approaches to Real-World Evidence". www.prnewswire.com. Retrieved 2023-08-15.
  18. ↑ Riskin, Loren; Koppel, Ross; Riskin, Daniel (2015-03-01). "Re-examining health IT policy: what will it take to derive value from our investment?". Journal of the American Medical Informatics Association. 22 (2): 459–464. doi: 10.1136/amiajnl-2014-003065 . ISSN   1527-974X. PMID   25326600.
  19. ↑ "Health Fidelity | NLP-Enabled Risk Adjustment Technology". Health Fidelity, Inc. Retrieved 2019-09-03.
  20. ↑ ""21st Century Technology for 21st Century Cures", Joint hearing of the Subcommittee on Healthcare and the Subcommittee on Communications and Technology, July 17, 2014". Archived from the original on August 8, 2014. Retrieved August 2, 2014.
  21. ↑ "Bipartisan Congressional Health Policy Conference" (PDF). The Commonwealth Fund. February 20, 2015. Archived from the original (PDF) on January 5, 2017. Retrieved December 6, 2016.
  22. ↑ Riskin, Dan; Crespo, Blai Coll; Monda, Keri L.; Hernandez-Boussard, Tina (2019). "Real world evidence in cardiovascular medicine: assuring data validity in electronic health record-based studies". Journal of the American Medical Informatics Association. 26 (11): 1189–1194. doi: 10.1093/jamia/ocz119 . PMC   6798570 . PMID   31414700.
  23. ↑ "Home". Verantos. Retrieved 2019-09-03.
  24. ↑ "Quality Measurement Task Force FACA". www.healthit.gov. Department of Health and Human Services. Archived from the original on 2016-11-06. Retrieved 2016-12-06.
  25. ↑ "Innovation and Data in Healthcare" (PDF). www.cms.gov. Centers for Medicare and Medicaid Services (CMS). April 8, 2015. Retrieved December 6, 2016.
  26. ↑ "Unpacking Real-World Data Curation: Principles and Best Practices to Support Transparency and Quality | Margolis Center for Health Policy". healthpolicy.duke.edu. Retrieved 2019-09-03.
  27. ↑ "HITAC Membership | HealthIT.gov". www.healthit.gov. Retrieved 2024-02-02.
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