Uber Health allows health care professionals to arrange Uber rides for patients traveling to and from the facility for non-urgent visits. Rival ridesharing service Lyft launched a similar service at the end of 2017.
Uber Health’s dashboard offers “simple billing, reporting, and management,where organizations can easily keep track of what they’re spending on rides.
Features include flexible ride scheduling for patients, caregivers, and staff, allowing rides to be booked immediately, within a couple of hours, or even up to 30 days in advance, if necessary. This makes it easy to plan a follow-up appointment with the patient while they’re present at the facility, allowing both parties to agree on a mutually convenient time and date.
Riders won’t need to have the Uber app. Ride notifications will be sent via text message to a mobile phone. Although the company says it’s also planning to set up alternative options such as landline calls.
It’s not clear who will pay for the rides. More than 100 healthcare organizations — among them hospitals, clinics, rehab centers, senior care facilities, home care centers, and physical therapy centers — are already conducting trials with Uber Health, and the dashboard is available to all such facilities from this week.
Sheba Medical Center at Tel Hashomer in Ramat Gan has begun to build a new 2,000-square-meter medical center for nuclear medicine and research after receiving a gift of $20 million from Russian Jewish billionaire Roman Abramovich. The richest man in Russia has long been a generous supporter of Sheba Medical Center; in past years he has donated $57 million, and partnered with the hospital on pediatric heart and cancer research.
Connected devices are working their way into the healthcare field. Doctors and nurses are starting to use wearable tech to help monitor their patients from afar — using technology to collect patient data that would usually be taken at the doctor’s office.
Memorial Sloan Kettering Cancer Center is working with cloud-based technology company Medidata to develop activity trackers that gather data on cancer patients, logging their day-to-day actions in hopes doctors will find it easier to treat and potentially one day diagnose cancer.
The band from AliveCor just earned FDA approval to read heart rates through the Apple Watch
Apple reportedly is also working on embedding its smartwatch with an EKG reader of its own
. And researchers have also turned to the Apple Watch to use the device to monitor and collect information on those with Major Depressive Disorder.
India has a severe shortage of psychiatrists and as a result, mental illness in rural areas remain undiagnosed or does not get the proper treatment. Indian researchers have developed a virtual tool to help address this problem. It has been found that it can be used by non-psychiatrists and is as effective as a diagnosis by specialists. The expert system is called clinical decision support system (CDSS) for diagnosis and treatment of psychiatric disorders was developed at the Department of Psychiatry of the Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh.
The tool covers 18 common mental disorders-delirium, dementia, mania, depression, dysthymia, psychosis, obsessive-compulsive disorder, generalized anxiety disorder, panic disorder, phobias, reaction to severe stress and adjustment disorder, somatoform disorder, dissociative disorder, neurasthenia, sexual dysfunctions, alcohol dependence, substance dependence and mental retardation.
Mental health care is mostly unavailable or inaccessible in most parts of India. About 90 percent patients in need of psychiatric treatment do not get it due to lack of psychiatrists. That gap is filled by creating a virtual psychiatrist. The expert system can assist a non-medical person to interview a patient with mental disorders leading to an automated diagnosis. The ICT technology is very simple to use, just a computer, broadband internet, Skype and a telephone line. Telepsychiatry holds the potential to solve the massive and intertwined problems of underdiagnosing and undertreating persons with mental illness and the lack of trained workforce at the grassroots level.
The newly classified gaming disorder is now included as an affliction. Those who suffer from the disorder are said to have “impaired control over gaming. Gaming disorder is characterized by a pattern of persistent or recurrent gaming behaviour (‘digital gaming’ or ‘video-gaming’), which may be online (i.e., over the internet) or offline, manifested by: 1) impaired control over gaming (e.g., onset, frequency, intensity, duration, termination, context); 2) increasing priority given to gaming to the extent that gaming takes precedence over other life interests and daily activities; and 3) continuation or escalation of gaming despite the occurrence of negative consequences. The behaviour pattern is of sufficient severity to result in significant impairment in personal, family, social, educational, occupational or other important areas of functioning. The pattern of gaming behaviour may be continuous or episodic and recurrent. The gaming behaviour and other features are normally evident over a period of at least 12 months in order for a diagnosis to be assigned, although the required duration may be shortened if all diagnostic requirements are met and symptoms are severe.
In a new study carried out by researchers from the University of Montreal, scientists examined the link between 3D-platform games and growth in different brains areas among older people. They were particularly interested in the gray matter in a part of the brain called the hippocampus, which is used for memory building. The loss of gray matter in the hippocampus is associated with neurological diseases, such as Alzheimer’s.
Their findings indicated that the Super Mario 64 training led to increased gray matter in the hippocampus, along with another structure called the cerebellum, which is important for motor control and balance.
The scientists hypothesized that 3D platformers are good because they ask people to explore a new environment, and to memorize it. When people do that, they form a cognitive map, meaning an internal representation of the environment, which they can then use to navigate. We know from past research involving both humans and rodents that this promotes activity in the hippocampus.
The New York City Council yesterday passed legislation seeking to address problems with Algorithms which can determine which school a child can attend, whether a person will be offered credit from a bank, what products are advertised to consumer, and whether someone will receive an interview for a job. Government officials also use them to predict where crimes will take place, who is likely to commit a crime and whether someone should be allowed out of jail on bail. The algorithms used in facial recognition technology, for example, have been shown to be less accurate on Black people, women, and juveniles.
The new bill seeking the signature of Mayor Bill de Blasio. States:
The task force would need to be formed within three months of the bill’s signing, and importantly it must include “persons with expertise in the areas of fairness, accountability and transparency relating to automated decision systems and persons affiliated with charitable corporations that represent persons in the city affected by agency automated decision systems.”
The New York division of the ACLU has argued in favor of it.
See The bill Here,