Health IT: Connecting Patients, Care Teams, and Data
Wherever You Are
In clinical or distributed care settings, facilitating collaborative workflows and customized treatments is crucial. Using data analytics and clinical decision support, technology can help clinicians deliver higher quality, more effective care.
Improve customer satisfaction and patient engagement.
Protection of personal health information is a critical priority, requiring policy, risk assessments, procedures, training, and technology. Intel®-based technologies can support the need for compliance with local regulation of healthcare information such as the HIPAA privacy and security rule. Intel offers a range of hardware-assisted security technologies, including accelerated encryption, anti-theft, identity protection, malware detection, and remote management of PCs, laptops, and mobile devices.
The amount of existing and new data flowing through today’s healthcare model is enormous and growing. The untapped potential of that data is even greater. By gathering up and analyzing the many varieties of data, including medical records and traditional clinical and as well as new genomic and consumer generated types, both providers and payers can garner new insights across a spectrum of applications ranging from better personalized individual care to predictive models for large population cohorts. The result is better patient outcomes with improved provider and payer resource utilization.
Individually customized treatments that take advantage of all patient data can enable higher quality care delivered more efficiently for more effective healing. Population-wide, trusted interoperability across provider and payer systems is critical for driving best practices and effectively addressing public health and safety concerns.
To drive, and to reward these innovations, public policy must also strongly compel outcome—to build accountability into the business model of the sector and speed the ability of clinicians to access the latest discoveries in their decision making, most notably the use of individual ‘omic and behavior/lifestyle data.
One of the most promising areas of innovation and transformation in healthcare is the move to distributed care. By creating a patient-centered network of intelligent, connected devices that spans across the home, workplace, community, and the mobile spaces in between, data capture and analysis and communication between the patient and their care team can all be enhanced and harnessed to deliver more effective healthcare to more people at lower cost.
In the home, this will be driven by new types of consumer medical devices and smart home connectivity and features. In the workplace and the community, new mobile devices and services including kiosks will be available. And for persistent real time data and connectivity, new purpose-built and general purpose devices will fill in critical gaps.
Mobile healthcare teams use Intel®-powered devices throughout their shift, from the dispatch center to the durable laptops and tablets, consolidating patient data. This includes scanning paperwork and patient information from the hospital or EKG strips. The ability to transfer patient information wirelessly to the hospital before the patient arrives can save precious minutes in life-or-death situations.
Inpatient systems efficiency, collaborative clinical workflows, individually customized care, and clinician productivity must all be advanced to improve the quality of care and minimize the amount of time, effort, and money patients need to spend seeking effective treatment.
We must aim to reduce the time patients spend waiting for diagnosis, testing, completion of documentation, clinicians on rounds, and for clinicians to communicate with one another. Collaborative clinical workflows and individually customized treatments that take advantage of all patient data, including genomics, can enable higher quality care, delivered more efficiently, for more effective healing.
An end-to-end platform for connecting the unconnected—allowing data from billions of devices, sensors, and databases to be securely gathered, exchanged, stored, and analyzed across the healthcare industry.