The key to better healthcare lies in information technology.
Learn how some of our healthcare customers are providing better patient care with innovative solutions that rely on IBM Cloud:
IBM Bluemix helps Biop Medical accurately perform early cancer detection
Cervical cancer is the second most common cancer and deadliest disease among women worldwide. Tremendous sums of money are spent on treating the disease when it’s too late. Even if women do have access to screening, the outdated testing procedure, which was invented in 1940, is invasive and uncomfortable. It’s highly operator dependent, causes too many unnecessary biopsies and comes with a risk of infection. The results are not immediate and diagnoses are not always accurate.
Every year, 200,000 women are misdiagnosed for cervical cancer and pre-cancer in the US alone.
Biop Medical has developed new technology: a probe that uses high-resolution optical and imaging techniques to identify cancerous and pre-cancerous cells in epithelial tissue.
Testing is faster, more comfortable and highly accurate. Patients receive a near-certain diagnosis right away, which eliminates waiting and anxiety.
Biop developed its solution on the scalable IBM Cloud platform, using a simple drag-and-drop process to add services as needed. The GUI interface that medical professionals use to access and analyze data is hosted on virtual servers in the IBM Cloud. Biop’s point-of-care solution also uses other IBM solution components.
The Federal Drug Administration has agreed for a possible 510(k) pathway for the first generation of the device (enhanced colposcope), which is a premarket notification for the marketing and distribution of the device in the United States. In parallel, Biop has started working towards a CE Mark, which is a similar certification for the European market.
Biop is conducting a second in-vivo study in Europe and is using the data from the clinical studies to optimize its algorithm.
Doctome offers professional telemedicine services that patients can use to consult a caregiver by video calls and chat any time and anywhere, at the moment of need and in their own language. There is no waiting room.
The groups that typically need the most ongoing medical care are families with children, senior citizens and patients with chronic conditions. People who don’t fit into these categories consume the majority of the time they spend at a hospital or clinic with issues that don’t necessarily require a visit.
Those people can now have telemedicine consultations with their doctors, get e-prescriptions and, in case they do need to go to a hospital, get referrals over the phone, freeing professional caregivers’ office hours for more critical patients.
The platform combines a CRM component with an integrated electronic health record (EHR) system and generates documents such as clinical summaries, emergency room referrals, digitally signed prescriptions and more. The caregiver sends that information to the patient at the end of a consultation.
To open up services worldwide, Doctome engaged with IBM and participated in the IBM Alpha Zone Accelerator program. In every country where Doctome uses the system, it runs a local database in an IBM Cloud Data Center for its customer relationship management (CRM) application, which holds all patient information and consultation recordings.
Shared services such as mobile services, push notifications, the email system, queue management and the e-prescription portal are delivered through the IBM Cloud platform. These features are system functionalities and do not hold any patient data requiring privacy protection.
The solution uses the IBM Watson Question and Answer Service to automatically answer some of the questions that come from patients or from parents, such as how to calm a crying baby, before the patient speaks to a caregiver.
The company trained the IBM Watson interface with protocols, medical data and guidelines. Doctome will also train IBM Watson using medical articles about medications to help answer questions from doctors, nurses and other medical practitioners.
Data enables proactive healthcare, improving chronic disease management
Leaders at Teva Pharmaceutical Industries, a global pharmaceutical company based in Israel, have considered if there are ways to identify early warning signs of an asthma attack. The company is developing a digital respiratory disease management system which may enable a proactive, data-driven approach to asthma management.
Many people who live with asthma experience uncontrolled symptoms and frequent attacks, often due to incorrect inhaler use or poor adherence to treatment.
Teva is expanding its global partnership with IBM to develop digital respiratory solutions for asthma patients to help them and their caretakers control their condition to better manage chronic symptoms. When patients use their digital inhalers and the corresponding software application, they generate data that their doctors can interpret to understand behavior patterns and enable a proactive, systematic and comprehensive approach to chronic disease treatment and management.
The collaboration will combine cloud-connected drug delivery and app technology with more than six billion data points, including integration of data from The Weather Company to incorporate environmental data that could potentially affect asthma patients. Using Watson cognitive processing capabilities and newly developed algorithms these data may be used to calculate the prospective risk of health events, such as an asthma attack. Teva delivers that information directly to caregivers and their patients via an app or other software so they may take a more proactive approach in managing that risk.
Teva chose IBM as its partner because of the unique capabilities of IBM Watson. Both Teva and IBM have the same aspiration to transform healthcare with digital therapeutic solutions designed to fulfill unmet and emerging patient needs, as well as provide the highest level of care to customers around the world.
Using the IBM Watson Health Cloud will comply with operational and security requirements for health data.
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