Apple launched a new open sourced platform, ResearchKit, to facilitate the creation of medical apps and expedite patient recruitment for clinical trials. This idea is brilliant and capitalizes on the popularity and ubiquitous nature of iOS apps already being used daily on hundreds of millions of iPhones around the world. Now the scientific research community can access the community at large in unprecedented ease and reach.
Patient’s grant permission allowing researchers to collect certain data points. Depending on the data needs the ResearchKit platform may request access to "the smartphone’s accelerometer, microphone, gyroscope, and GPS sensors. These sensors could help in studies looking at, for example, a patient’s gait, motor impairment, fitness, speech, and memory."
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We can’t continue to treat people with a one‑size‑fits‑all approach. The kind of data that ResearchKit will provide may be very useful in helping us understand serious diseases and what individuals can do to hasten recovery.--Dr. Patricia A. Ganz, UCLA Fielding School of Public Health
Patients with multiple comorbidities are a complex population and represent one of the greatest healthcare challenges regarding managing costs and improving patient outcomes. The ability to track and measure real world data may be a significant advantage in managing patients that bear little resemblance to the homogenized clinical trial patient often reflected in disease specific clinical guidelines.
Challenges of managing multimorbidity...
Having more than 1 condition generates:
(1) interactions between pathologies,
(2) duplication of tests,
(3) difficulties in adhering to often conflicting clinical practice guidelines,
(4) obstacles in the continuity of care,
(5) confusing self-management information, and
(6) medication errors. In this context, clinical decision support (CDS) systems need to be able to handle realistic complexity and minimize iatrogenic risks.