The modern healthcare data stack unifies patient data for real-time clinical and operational insights to improve decision-making in health systems.
At a time when 37% of hospitals are losing money, the pressure is on to find innovative ways to drive profitability. For many hospitals pursuing growth and innovation, patient engagement—which is ...
Health systems have a large amount of patient data through EHRs and other digital platforms managing administrative tasks and clinical care. The de-identified patient data is useful for creating large ...
Handling sensitive patient data is a critical responsibility for organizations involved in clinical trials. To meet regulatory requirements, many rely on SDTM mapping—a process that converts raw ...
In the past decade, healthcare data has become one of the most sought-after targets in cybercrime. From insurers to clinics, every player in the ecosystem handles some form of sensitive information.
Digital patient profiles and real-world data enhance oncology trial design, patient recruitment, and reduce trial failure risks. Phesi's platform aligns trial designs with real-world data, minimizing ...
Role-based access control (RBAC) restricts access to patient data based on job responsibilities, reducing risk. Encryption methods like symmetric and asymmetric key schemes safeguard sensitive health ...
As we get further away from the Covid-19 pandemic of 2020, we are still feeling the repercussions four years later. As one of the hardest-hit sectors, it’s no surprise that one of the industries that ...
Episource, which develops analytics tools for healthcare providers, said it has begun informing patient victims of a health data breach as a result of a ransomware attack in February. Customer Sharp ...
KANSAS (KSNT) – Earlier this year, hospitals with the Ascension network were hit with a ransomware attack that has left a lasting impact. Now, the company is reaching out to patients who may have had ...
Wealthy British couples are paying tens of thousands of dollars to overseas firms to rank their IVF embryos for predicted ...