Health Data Science & Technology
Healthcare information technology systems and data science bring together data analytics, clinical intelligence, software, hardware and mobile applications. Healthcare is growing and so is technology. Technology in a clinical setting brings patient care to an entirely different level. Learn more about the history of Health Information Technology (HIT) and Health Data Science.
Health Data Scientist
Your Health Data Scientist stands proud and shouts aloud, “We love Data!”
Data science: analyzing data across the world in every field and every industry. Data collection, data management, data analysis and everything in between, we want to talk about your data analytics. Chronologically-minded, means we want to know the story behind the data and its entire history. Roadmaps: where do you want the data to go, what problems do you want solved? We can provide you with data-driven decisions to support your business and clinical objectives.
Early History Health Information Systems
1965 - 1977: The Age of Cooperation: Birth of the VistA Strategy and Architecture
1977 - 1982: The Age of Struggle: Birth of the VistA Software
1982 - 1993: The Age of Expansion: Widespread Adoption and Improvement
1994 - 2004: The Modern Age: Achievements and Contradictions
Pioneers like Joseph (Ted) O’Neill and Marty Johnson; Gordon Moreshead and Wally Fort, Bob Lushene, Richard Davis, Joe Tatarczuk, all contributed to ANSI Standardization of MUMPS. “This team developed in the late 1970s a clear plan and methodology for the decentralized evolution and refinement of the various clinical- application modules, and their progressive integration into a complete medical-information system for a hospital or clinic. The program was launched in 1978 with the deployment of the initial capabilities for the implementation of the modules in about twenty VA Medical Centers.”
The history of the hardhats. The History of the Hardhats. (n.d.). Retrieved February 17, 2022, from https://www.hardhats.org/history/hardhats.html
Mid 1980s
Lockheed Martin with a federal grant, eventually commercialized and named Technicon, and initially implemented at El Camino Hospital in Mountain View, California, in 1971. The people who developed this software came out of the aerospace industry and worked with those who understood hospitals and health care. Also, in the 1970s, Science Applications International Corporation (SAIC)—a large, successful employee-owned company with expertise in information systems work for the defense industry and federal government— developed an early clinical information system for VA hospitals. (This system was replaced in 1982 with a newer version system called Veterans Health Information Systems and Technology Architecture [VistA], an integrated EHR that is currently in use in more than 1,400 VA hospitals and ambulatory clinics across the U.S.
Balgrosky, J. A. (2020). Understanding Health Information Systems for the health professions. Jones & Bartlett Learning.
2000s
Health technology courses, professors, health associations, and pioneers are paving the way for technology in healthcare today.
BLOCKCHAIN: TO ADOPT OR NOT TO ADOPT
“Blockchain is a digitized, decentralized, public ledger of transactions. The goal of blockchain is to make transactions (or information) trackable and accurate while staying completely anonymous: it allows market participants to keep track of digital currency transactions without central record-keeping. This is the technology that makes something like Bitcoin possible. More recently, this HIS leaders and vendors have begun to theoretically apply blockchain to healthcare information.”
“It’s clear there is in an appeal: there will be personalized, precision data for everyone in the future. How do we amass the right data at the primary care practitioner from all these other sources, while still maintaining privacy? It’s about evolving with these new models—central authorities will go away, with distributed authority of blockchain. The current HIS model has been centered on the EHR system as the source of truth, but that model will be challenged by new technologies giving control back to the patients: with something like blockchain, central authorities go away.”
Balgrosky, J. A. (2020). Understanding Health Information Systems for the health professions. Jones & Bartlett Learning.
Health Data Scientists