Analytics is a cost-effective method of doing business in every domain, be it commercial sector or health sector. By maintaining a hospital database actions can be taken to operate its activities efficiently. Also, there will be increased transparency and reduction in frauds/scams if analytics are used to track any such kind of irrational behavior. Keeping a database of patients' record will avoid repetitive processes and save his time and effort thereby increasing his overall satisfaction. Analytics can help bridge the gap between specialists and patients. Hospital staff appraisal and labor division is another benefit of keeping record of staff data. Read more at: http://readwrite.com/2017/05/16/data-analytics-transforming-healthcare-system-hl1/

According to the author, the updated healthcare marketing has to be more value based, data driven and customer centric. In the coming years, success rate and customer experience are likely to decide the fate of the companies. Real world data with economic outcomes can demonstrate a brand’s value. New marketing techniques will require- 1. Quick and effective marketing activities. 2. Use of advanced technologies and analytics for finding valuable insights from data. 3. Provision of better and innovative customer experiences, which will maximize brand value. 4. Collaborating with partners to create unique solutions.

Read more at: http://www.adageindia.in/others/misc/the-seismic-shakeup-in-healthcare-marketing-are-you-ready/articleshow/58809226.cms 

Rosenbaum was accused of searching Reed’s medical records and violating HIPAA (she has been cleared of that by an investigation) because she mentioned the stage of uterine cancer in the essay, begging the question how she knew the stage of the cancer.While banning morcellation certainly saves women from the dreaded complication that Amy Reed regrettably faced, what about women who do not develop complications from open procedure, such as pulmonary embolism, because of using the less invasive technique? Who cheers for events that don’t happen? Safety for some patients comes with unsafety for other patients.How did our skeptical healthcare journalists respond to this accusation? Presumably they decimated the sloppy, self-serving, logic of the accusation, which is nothing more than a jejune and desperate personal attack on the author.Read mroe at : http://thehealthcareblog.com/blog/2016/03/20/overoutrage-and-the-asymmetric-skepticism-of-healthcare-journalists/

In the past few decades, Customer Relationship Management (CRM) has evolved and is being implemented in various industries. What used to be typically connected with retail industry, is now projected to reach $17.5 billion by 2025 in healthcare industry. Within this industry, this software benefits in the following areas:

•         Billing
  CRM software assist in collecting and updating customer payment details, tracking transactions and getting real time insights into payments processing using analytics tools          
• Outreach
  By getting better access to customer data, CRM users reach out to different segments of customers and also maintain continuous communication with them.
•          Workflow Automation
  By automating workflows using CRM, customer retention can be increased by 27%.
•          Data Security
  CRM enhances security by encrypting sensitive information and creating data backups.
•         Compliance
  Unlawful data fines can be prevented by using CRM to simplify HIPAA and other compliance requirement processes.
•          Patient Satisfaction
  Patient satisfaction levels can be increased by implementing CRM at each level of interaction with them.
  
  To know more, please read the following article at insidecrm.com:
  http://it.toolbox.com/blogs/insidecrm/6-crm-benefits-for-healthcare-providers-75202

The healthcare industry is growing at a very fast pace and unlike any other industry, this industry also requires good management in order to increase productivity. So, here comes the importance of healthcare management. According to a recent study, it is estimated that the demand for these experts will increase over 20% in the next five years and it is also found that there may be many job openings in gerontology, home health care and health care administration. Read more at: http://it.toolbox.com/blogs/marketing-strategies/it-and-administrative-job-opportunities-in-the-healthcare-industry-74696

According to the Cincinnati Children's Hospital Medical Center reports, patients who are suffering from heart defects can with the aid of technology predict their treatment. This breakthrough of technology is a very good news for the medical sector. Not only will this technology help the Doctors but the good news is many patients will be saved who die because of complications later for the lack of prediction. However, this discovery is years away from clinical use. Click on the link below to find out more: https://www.sciencedaily.com/releases/2016/05/160519130118.htm

 The New Hanover Regional Medical Center Orthopedic Hospital offers a new experience for the MRI users. The new technology will now let the patients have a more customized approach and will make the experience of taking the MRI a soothing experience. The MRI scan is not a very nice experience for many people as they feel claustrophobic. Find out the ways in which technology is getting advanced in the link below......      

http://www.wect.com/story/31993717/new-mri-technology-offers-more-soothing-experience

With regards to big data analytics in the healthcare industry, there's a noteworthy contrast between beginning an activity and succeeding with it.  We have to collect data systematically. Organizations should also conduct regular reviews of their data integrity and health information management programs to help clinicians to collect important data in a standardized, and accurate manner. Big data analytics is costly and hiring an outsider with more experience might be interesting for suppliers who are feeling lost. Outsourcing can also be risky when it comes to data security. Read more at: http://healthitanalytics.com/news/how-to-build-a-successful-big-data-analytics-program-in-healthcare

The most common hurdle for healthcare organizations with data analytics programs is consistent information from unique sources. An enterprise resource planning (ERP) can manage operational staff data, but cannot store patient-care related data, and therefore conducting a financial analysis of a patient care requires some imagination. If the analysis involves a nursing unit, the study may include clinical, operational staff data captured from the ERP such as shift worked, number of shifts worked for the current pay period, temporary or permanent resource status, educational background and professional credential levels. Linking this data to patient care data may require the shift date, patient bed assignment and other data elements. This type of analysis would only be possible on second- and third-generation data systems that can process different data languages for analysis and research. Read more at : http://healthitanalytics.com/news/goals-and-guidance-are-key-to-healthcare-big-data-analytics

A proposed framework focuses on the development and application of electronic healthcare predictive analytic (e-HPA) applications. The framework is built on "earlier frameworks of model development and utilization" to show opportunities for e-HPA, ways to address challenges and ideas for motivating stakeholders to adopt and refine the framework.

Five areas provide the structure for the framework, which includes:

1. Data barriers and model development

2.  Transparency and model evaluation

3. Ethics

4. Regulation and certification

5. Education and training. 

It is the task of healthcare leaders, e-HPA practitioners and other stakeholders to ensure an infrastructure .The infrastructure promotes effective use of predictive analytics to improve patient outcomes, satisfaction and the value of healthcare resources. For more read the article written by Katie Dvorak(an associate editor for FierceHealthIT and FierceHealthcare) at : http://www.fiercehealthit.com/story/proposed-framework-focuses-electronic-healthcare-predictive-analytic-applic/2016-03-08

EMR (electronic Medical Record) adoption, big data and other trends are helping a lot in the generation of data in the healthcare industry. But data is not what drives the healthcare industry- managing this data does. In healthcare, data analytics is done in use cases. Multiple use cases are created according to the need like one while patient got admitted in some department, a use case gets created. To provide best services to patients timely, immediate access to patient’s data without the barrier of time or location. Read the full article here: http://www.computerworld.com/article/3038315/data-analytics/accelerate-time-to-value-with-healthcare-discovery-analytics.html

The National Biotechnology Development Strategy 2015-20 plans to make India a world-class bio-manufacturing hub, with intent to launch big missions, creation of new biotech product and creating a strong infrastructure for R&D. The catalyst in this mission is harnessing the power of big data. IT and healthcare have always worked together. Big data and data analytics have helped a lot in cancer research, drug safety, genomics and clinical research. Big data helps in solving the complexities of healthcare that looked impossible to solve before. It helps in making sound decision within a short period of time and with cost effective measures. The error rates have also decreased enormously leading to a significant increase in efficiency. Read the full article here: http://tech.firstpost.com/news-analysis/national-dept-of-biotechnology-sees-big-data-propelling-it-to-100-bn-industry-by-2025-293213.html?utm_source=also_read

In healthcare, information comes from multiple sources and it does exist in multiple forms like images, video, text, numerical data, multimedia, paper, electronic records or what not. These all are very important in the healthcare industry. Data mean the world to them.  So it is really necessary to have the right analytical tools to analyze such huge volumes of data. Moreover, jargons used in healthcare are often alien to patients or a layman. Inconsistent definitions, unstructured data is very hard to aggregate and maintain. Hence, if big data analytics used wisely can help save hundreds of billions every year. Read the complete article here: http://www.forbes.com/sites/sap/2016/02/22/can-big-data-analytics-save-billions-in-healthcare-costs/#4fdcfd7f6253

These days, faster diagnostic and machine learning on large sets of data promise a real-time understanding of health. Predictive analytics help to decrease costs, and helps in preventive disease management. Precision medicine is an approach to treatment and prevention considering individual variability in genes, environment and lifestyle for each person and also classify people precisely, based on susceptibility, microbiology and/or prognosis, at a considerably higher resolution. Health data analysis provides useful perspectives to predict the future. Precision medicine makes true predictive analytics possible. Prediction requires precision, but it does not require precision alone. Predictability comes from a wide and narrow gap which requires a data sets with high-accuracy. For more read : http://hitconsultant.net/2016/02/22/31535/

Nowadays, medical sensors and data analytics are used to boost medical devices. Devices can forecast unfavorable outcomes before they occur. After analyzing large data sets, researchers can identify small changes in patient behaviors. Combining with data analytics, implantable medical sensors will allow monitoring patient health. Utilizing predictive analytics, smart sensors identify unfavorable changes in data which helps to detect medical crises very fast. Data analytics is used to influence smart devices that provide guidance to patients. These devices receive inputs from their sensor data. Predictive analytics help to make unique medicines. Smart devices use data to predict how an individual patient will respond to specific courses of action. Data analytics also help manufacturers to go beyond the general results of clinical trials to better interpret the value their devices for specific groups of patients. Read more about this article written by Battelle : http://www.healthcareitnews.com/news/big-data-difference-predictive-analytics

Every company wants happy and healthy employees and for better operations, it is way more than just productivity. As fit employees are happy and healthier, many companies have corporate wellness programs. But involving employees to participate in such activities is a real challenge for HR officials. Thanks to technology, corporates have fitness wearable devices for employees and Fitbit is the market leader in this category. It has revolutionaries the wellness programs by adding a social and competitive component. Not only fitness, but it is improving the work environment in companies also. It is economical for corporate as there are company-specific online storefronts where companies can get subsidized Fitbit as per their needs. Read more about this in the article written by Sarah K. white (Senior Writer) at -: http://www.cio.com/article/2980242/wearable-technology/how-hr-uses-fitness-trackers-to-increase-company-wellness.html 

Doctor or healthcare professionals treat us according to recent scientific arrangement. EBM (Evidence Based Medicine) is the orthodox standard for the provision of healthcare. But, in the era of big data, it is about to change. Clinical trials work compares the new treatment to other treatments by separating random patients into different groups. There is a risk of methodological flaws and the small populations used. By mining the practice-based clinical data, i.e. actual patient records for information on who has what condition and what treatments are turning for better treatment of the individual. Almost 80% of medical information about patients forms of unstructured data. For better care of individuals and to understand about the health of the population, we need to be able to mine unstructured data. So before analyzing any data, the first thing is to extract the data from these diverse sources. Then turn that information into something that computers can break down. The data can then be dissected at an individual level to create a patient data model. Data theft can be scaled down by encrypting patient data. Read more about it in the article written by Bernard Marr (contributor) :  http://www.forbes.com/sites/bernardmarr/2016/02/16/how-big-data-is-transforming-medicine/#28d063381cd4

The breakthrough in the mobile innovations that is coming into industry holds many promises for the future of mobile healthcare solutions. The power of technology to monitor patients from distance improves health care in a way that is cost effective and beneficial. To implement such systems the need is to change the thinking of both doctors and the patients. Mobile Healthcare systems keep a constant vigilance on the patient and can collect important data. The data related to the blood pressure, sugar levels and various important factors can be analyzed to make the treatment better. This gives freedom to the patients to complete their works without being tense about their healthcare system. They can remotely access the same. There are projects which are working on mobile healthcare and they have offered promising results.  Read more at: http://www.healthcare-informatics.com/article/harnessing-power-mobile

Every human being is interested to know their chances of getting sick in the future. This is where artificial intelligence scientists steps in. With the combination of machine learning, natural language processing and text analytics scientists are working to find out some latest concepts and technologies in biomedicine. Each term is then given a score, which, based on the technology's analysis, identified its predicted rate of incline. So based on that, few predictions have been made for 2016.  To know more, follow: http://www.science20.com/news_articles/ai_may_tell_us_whats_going_to_be_big_in_science_this_year-165373

In medical professional, data security breaches are common. The information breach happens due to mishandling of patient data. So, professionals today are learning how to protect patient data while handling it and storing it. Medical information is very crucial, so it is important to protect this data. Lewis Robinson (a business consultant), writes in his article about some top tips for protecting patients from a data breach. Read more at: http://it.toolbox.com/blogs/understanding-crm/top-tips-to-prevent-patient-information-breach-70079