{"id":4835,"date":"2015-03-29T11:25:37","date_gmt":"2015-03-29T05:55:37","guid":{"rendered":"http:\/\/ucanalytics.com\/blogs\/?p=4835"},"modified":"2016-09-14T13:51:31","modified_gmt":"2016-09-14T08:21:31","slug":"healthcare-analytics-the-road-ahead","status":"publish","type":"post","link":"https:\/\/ucanalytics.com\/blogs\/healthcare-analytics-the-road-ahead\/","title":{"rendered":"Healthcare Analytics \u2013 The Road Ahead"},"content":{"rendered":"
\n
\"Angelina<\/a>

Angelina Jolie (Healthcare analytics)- by Roopam<\/p><\/div>\n

\n

Knowledge is power \u2013 with these lines, Angelina Jolie-Pitt concluded her article in The New York Times dated 24th March 2015. Angelina Jolie is considered as among the most attractive women in world cinema. In the last couple of years, she has undergone multiple surgeries to remove\u00a0female\u00a0organs in her body i.e. breasts and ovaries. Now the question is: why has Ms. Jolie taken such a drastic decision? And also, how\u00a0with the advent of data science and healthcare\u00a0analytics will decisions like these be part of everybody’s life?<\/p>\n

To answer the first question, Ms. Jolie has a long\u00a0family history of cancers. She has lost her mother, grandmother, and aunt to breast and ovarian\u00a0cancers. Her genetic profiling through a simple blood test revealed that she has a mutation in the BRCA1 gene. All this information collectively puts her at a high risk of 87% chance for breast cancer and 50% chance of ovarian cancer.<\/p>\n

To explain the mathematical meaning of 87% chances of breast cancer, if one creates 100 exact replicas (read clones)\u00a0of Angelina Jolie then 87 of them will have breast cancer within their human lifetime. Now, for Ms. Jolie, she is not sure which of these 100 replicas she belongs to hence a prudent choice for her was to evaluate options to reduce her chances of acquiring cancer. \u00a0The unfortunate part about current medical science, which we will discuss in some detail later in this article, is that she had very few options to reduce her chances of cancer. In the same effort, she\u00a0had a double mastectomy, a breast removal surgery, two\u00a0years ago. Additionally, a few weeks ago she had surgical\u00a0removal of her ovaries and fallopian tubes.<\/span><\/p>\n

You may want to read an earlier post on\u00a0<\/span>Healthcare analytics<\/a>\u00a0on YOU CANalytics.<\/em><\/p>\n

Healthcare Analytics and Breast Cancer<\/span><\/h2>\n

\"HealthcareI heard of Tamoxifen a little over\u00a05 years ago when my close cousin’s wife was diagnosed with breast cancer. That was a difficult period for the whole family and the most difficult for the patient where she underwent a major surgery followed by\u00a0chemotherapy and radiation therapy. To everybody’s relief, she has recovered and is doing well now. She is on a daily dose of Tamoxifen started immediately after her initial treatment 5 years ago.<\/p>\n

Tamoxifen is\u00a0an oral medication to prevent recurrence of cancer.\u00a0Before I come back to Tamoxifen, let’s quickly look at some descriptive statistics on breast cancer. Every year\u00a0close to 2 million people, mostly women, are newly diagnosed with\u00a0breast cancer around the globe. The 5-year survival rate for a patient with stage 4 cancer is as low as 22%. This puts breast cancer as the primary cause of death among all the cancers for women. Healthcare analytics is a heart-numbing experience for its practitioners since the data\u00a0is not about fraud or default but human death.<\/p>\n

Personalized Medicine –\u00a0Direction for Healthcare Analytics<\/span><\/h2>\n

\"healthcareBack to Tamoxifen which has close to 80% success rate to prevent recurrence of cancer. Let me suggest a way to read this statistic: of the 100 women on Tamoxifen, after being diagnosed with breast cancer, 80 will find it effective while remaining 20 will find it completely ineffective similar to popping a placebo (sugar cubes). The reason is that every human body is different and we all react to medicines differently. Something that works for me may not work for you at all since we have a different genetic make-up. This highlights the need of personalized medicine for effective treatment of diseases.<\/p>\n

Personalized medicine is not a new concept. Much traditional alternative healthcare\u00a0practices like Homoeopathy, Naturopathy,\u00a0and Ayurvedic medicine\u00a0work on the principles of personalized medicines. However, personalized medication is a time-consuming affair for both doctors and patients.<\/p>\n

Healthcare analytics and big data offer a quick and viable solution to make medicines personalized. The rate at which data is generated and analytics are possible we are soon reaching a place in human history where medicine will be specific to an individual’s body type. Tamoxifen has close to 80% success rate, however, there are other medicines that have never made it to drug stores because they have much lower success rate say 10%. This means that these medicines can work wonders for\u00a0only\u00a010% of the population but will be ineffective for the remaining 90%. If we can identify the right body-type for these medicines which are not even in the market, we can effectively use them for that 10 % of patients and save many more human lives.<\/p>\n

This is a great news for clinical research, pharma companies, and patients. If the companies identify the right body-type for each medicine and package these personalized medicines for a small 5-10% of the population then the research and expenses behind this medicine won’t go wasted. Additionally, a small portion of the patient population will get benefited by a specific personalized medicine.<\/p>\n

Preventive Medicine – Direction for Healthcare Analytics<\/span><\/h2>\n<\/div>\n

Healthcare analytics is offering viable and cost effective solutions to predict the likelihood of a person to acquire diseases like cancer, diabetes, Crohn’s disease (read an\u00a0earlier article<\/a>) <\/em>etc. Let’s come back to\u00a0Angelina Jolie and her statement: knowledge is power. Is knowledge really power? I think knowledge can be extremely agonizing if one doesn’t know how to act on that knowledge and prevent an unwanted event. Imagine the mental state of a person who knows she is likely to acquire a horrible disease in the next year but doesn’t know how to prevent it. Doomsday prophecy without an instrument to prevent it is a source of unwanted anxiety.<\/p>\n

\"fireOne of the biggest shortcomings of our current medical practices and healthcare system is that we work on post facto<\/em> diagnosis or treating the symptoms. However, the new wave of healthcare analytics and data science will soon take us to the place where we will predict diseases (ex-ante<\/em>). Now, current\u00a0healthcare practices of extinguishing the fire won’t work as well in the new era of fire prediction and prevention. Proactive \/ preventive medicine,\u00a0I believe, will be the new direction for pharma companies and healthcare professionals.\u00a0Angelina Jolie had to resort to an extreme measure to reduce her chances of cancer however I wish there were less drastic and painful medications available for Ms. Jolie to achieve the same results.<\/p>\n

Sign-off Note<\/span><\/h4>\n

Data is a manifestation of life – nothing makes this point more than analysis of healthcare data. There are always instances while analyzing patient data that some\u00a0records cease to exist on a time scale. This kind of termination of information in any other scenario like banking or retail has little personal significance for analysts. However, for healthcare, it is hard for analysts not to take a moment and remember the life that was captured in this data. Apparently,\u00a0nothing makes life more life than the absence of it (death).<\/p>\n","protected":false},"excerpt":{"rendered":"

Knowledge is power \u2013 with these lines, Angelina Jolie-Pitt concluded her article in The New York Times dated 24th March 2015. Angelina Jolie is considered as among the most attractive women in world cinema. In the last couple of years, she has undergone multiple surgeries to remove\u00a0female\u00a0organs in her body i.e. breasts and ovaries. Now<\/p>\n

Read More…<\/a><\/p>\n","protected":false},"author":1,"featured_media":4848,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_newsletter_tier_id":0,"jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false}}},"categories":[73],"tags":[7,6,10],"jetpack_publicize_connections":[],"yoast_head":"\nHealthcare Analytics \u2013 The Road Ahead – YOU CANalytics |<\/title>\n<meta name=\"description\" content=\"In this article we will discuss the road ahead for medical practitioners and pharmaceutical companies through healthcare analytics and data science.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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