Cancer treatment has been one of the most challenging endeavors for tech firms; it serves as an avenue to reap the rewards of technological advancements for the betterment of patients. However, vendors are in a continuous quest to mitigate the challenges revolving around delivering superior oncology solutions by leveraging latest technologies such as data analytics, artificial intelligence (AI), and Internet of Things (IoT). Various firms are focused on merging patients’ data from different healthcare systems and analyzing it for making informed decisions while diagnosing cancer. Thus, interoperability between electronic health records (EHRs) is paramount for simplifying healthcare services to patients. Health record information is further empowering doctors to supervise patients health condition in real-time to facilitate patient-centric care. Besides, tumor data from several EHRs’ have improved early detection and treatment of cancer before it spreads and afflicts humans.
Although combining data from various sources have immensely assisted doctors in providing the best treatment, effective aggregation of information from a multitude of EHRs is still one of the significant challenges. Consequently, health tech firms are developing application program interfaces (APIs) to integrate these health care systems, enabling doctors to obtain complete picture of tumor severity while diagnosing patients. Such interoperability is also allowing caregivers to monitor post-treatment conditions of their patients and suggest medications accordingly. With patients’ health information at doctors’ fingertips, healthcare providers are able to track the diagnosis through all phases of care and offer the highest level of service without any information gaps. In addition, these datasets are also driving research and development initiatives for devising new drugs to optimize the overall delivery of care by utilizing machine learning (ML) and natural language processing (NLP) models.
As every tumor is different and develops in its own way, the use of data for rendering personalized treatment is assisting doctors in improving the standard of care. Today, researchers can not only look at the genetic code of cancer cells but also compare them with DNA of metastases that develops. The heterogeneous nature of cancer makes its treatment incredibly complex; because, on a molecular level, no two cancers are the same. However, use of data for diagnostics is streamlining the caregivers’ process in providing each patient with a bespoke drug that targets his or her specific cancer cells, thereby, limiting the risk of severe side effects. Data analytics has already become a crucial weapon to fight diseases in the digital age and is further being utilized for increasing collaboration between caregivers and patients, improving communication through the course of diagnosis. Likewise, big data will continue to advance and accelerate the pace of cancer treatment by discovering effective ways in diagnosing patients.
This edition presents to you, “Top 10 Oncology Solution Providers - 2019,” featuring companies who are radically transforming the field of oncology space. Over the past few months, a distinguished panel of CEOs, CIOs, VCs and the editorial team of Healthcare Tech Outlook have reviewed companies in the oncology sector and have shortlisted the forerunners who are meeting the challenges of the industry head-on.
We present to you, “Top 10 Oncology Solution Providers - 2019.”