Five Reasons Why Electronic Medical Records Are Good For Patients

Investment in developing a good Electronic Medical Record (EMR) system to provide value to patients by driving up safety, quality, operational excellence, transparency and access can be seen as shown by the example at Cleveland Clinic Abu Dhabi, a carefully designed EMR system modelled after the famous EMR model at Cleveland Clinic, Ohio, United States – a long time leader in EMR systems.

The infographic below (click on the image to open in a new tab of your current window to view a larger image) shows a summary of five (5) good reasons why EMRs are good for patients as from the example at Cleveland Clinic Abu Dhabi.

Reasons-Why-Electronic-Medical-Records-Are-Good-For-Patients

References:

  1. Five Reasons Why Electronic Medical Records Are Good For Patients, Marc, H 2013, LinkedIn, viewed 15 July 2013, <http://www.linkedin.com/influencers/20130715101824-13527628-five-reasons-why-electronic-medical-records-are-good-for-patients>

Wait times documentation in the medical record

Cartoon credit: theragblog.blogspot.com/

Cartoon credit: theragblog.blogspot.com/

Health Information Management (HIM) / Medical Records (MR) practitioners maybe unaware of information documented in the patient’s medical record when inpatients and outpatients seeking care and/or diagnostic services patients, undergo long waiting periods for diagnostic and/or treatment services or when obtaining the planned care may require placement on a waiting list.

The issue of waiting periods for healthcare may be described from the study by Singh et al. (2010) as patient-related i.e delays referring to the time period from the onset of symptoms to the patient’s seeking of medical advice or health system-related. Singh et al. (2010) define health system delays to the time period from the first contact of the patient with the health care system to definitive treatment, which may also include delays in patient access to first contact. Singh et al (2010) further categorised health system delays into diagnostic delays defined as time from the patient’s first contact with the health care system to diagnosis and treatment delays as time from diagnosis to definitive treatment.

HIM / MR practitioners practising at a hospital which is already Joint Commission International (JCI) accredited or seeking JCI accreditation status or undergoing re-survey for JCI accreditation statusmust be aware that the JCI Standard ACC.1.1.3 which states that “The organization considers the clinical needs of patients when there are waiting periods or delays for diagnostic and/or treatment services.” which requires the aforesaid reasons and alternatives on waiting periods to be duly documented in the patient’s medical record and this requirement applies to:

  1. inpatient and outpatient care and/or diagnostic services
  2. does not include minor waits in providing outpatient care or inpatient care, such as when a doctor is behind schedule
  3. does not apply for oncology cases or transplant cases 

To this end, HIM / MR practitioners must:

  1. be able to locate information recorded in the patient’s medical record that will contain the associated reasons for the delay or wait and available alternatives consistent with their clinical needs;
  2. must be aware that the JCI Standard ACC.1.1.3 is included in the Medical Records Review Tool; and
  3. include this requirement in HIM / MR written policies and/or procedures to support consistent practice.

References:

  1. Joint Commission International, 2010, Joint Commission International Accreditation Standards For Hospitals, 4th edn, JCI, USA
  2. Singh, H, Coster, DC, Shu, E,  Fradette, K, Latosinksy, S, Pitz, M, Cheang, M & Turner, D 2010, Wait times from presentation to treatment for colorectal cancer: A population-based study, Canadian Journal of Gastroenterology, vol. 24, no. 1, pp. 33–39, viewed 2 July 2013, < http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2830632/#__ffn_sectitle>

Healthcare Big Data – Part 2a

Big Data 3Vs cardboard-box-iconIn the post Healthcare Big Data – Part 2 (this link will open in a new tab of your current browser window), I wrote that no matter the size of Healthcare Big Data, a known fact of the current state of healthcare industry worldwide which is in general afflicted with poorly coordinated care, fraud and abuse and administrative and clinical efficiency, the goal is ultimately to improve patient care and reduce costs.

In this post I like to share with you this infographic below (click on the image of the infographic below to view a larger image which will first open  in a new tab of your current browser window, click again on the image in this new tab which will then show you a full view of the infographic in the same tab) which I think rightly supplements what I wrote in the post mentioned above.

This infographic visualises the worldwide trend to digitize healthcare patient information from paper-based medical records to Electronic Medical Records. This trend continues to gather increasing momentum to produce infinite volumes of Big Data, an estimated 50 pentabytes of data in the healthcare realm. This influx of Big Data will create more jobs to handle all these data, especially new jobs that demand new talent in analytics,

This infographic also visualises the bulk of the internal source of Healthcare Big Data as originated by medical providers and ancillary services providers during the course of providing their services. More Big Data is accumulated when these internal data source is in turn used for insurance claims and payments, to a greater extent In advanced economies and lesser in less advanced economies. The technology vendors provide the technology interface for the internal source of Healthcare Big Data.

Then there is the external and public as well as private storage of Healthcare Big Data. Public Health agencies also generate Healthcare Big Data mandated by legislation and regulations e.g. immunisation and cancers data, and store them in data repositories. Third-party organisations also generate Healthcare Big Data when they coordinate between healthcare providers. Private data are also stored in remotely stored and web-based repositories when some consumers maintain personal (private) health records online.

From this infographic, patient care is improved when streaming data is used to decrease patient mortality as these data moves in healthcare. However the bigger challenge is to harness the 80% of all the unstructured data of patient information in Healthcare Big Data.

When it comes to healthcare Big Data is a Big Deal

Infographic credit: healthcareitconnect.com/

I shall discuss the ways of Big Data which will transform healthcare, in the near future with cost savings, quality of care, and care coordination after I have blogged about Big Data solutions in a future post.

Healthcare Big Data – Part 2

Big Data 3Vs cardboard-box-iconIn this second instalment of Healthcare Big Data, let’s look at the multiple sources of data that are responsible for Healthcare Big Data.

The internal data found in existing paper-based medical records is one large source of Healthcare Big Data.

With more and more hospitals in the health care industry around the world turning to creating digital representations of existing data in paper-based medical records and acquiring everything that is new in the form of Electronic Medical Records, there is an infinite data growth rate in this internal data source.

Then there is also Big Data from other sources, those from external, private, and public sources.

The discovery process, both oral and written discovery initiated by the legal profession outside the healthcare industry which adds terabytes or even petabytes of information is one source of external Healthcare Big Data, when individual doctors, hospitals, and medical practice groups become defendants in malpractice lawsuits.

No matter the size of Healthcare Big Data, a known fact in healthcare is to improve patient care and reduce costs.

Thus to improve patient care and reduce costs through Healthcare Big Data, one of the biggest challenges for most healthcare organisations is to mine the data or dig for something of value from these multiple sources of data. Healthcare organisations must find i.e locate the appropriate data, identify useful data i.e determine whether the data set is appropriate for use,  and aggregate all of the Big Data from the multiple sources and push through an analytics platform as part of their analytics processes.

Since I am running a blog for the general benefit of Health Information Management (HIM) / Medical Records (MR) practitioners, I shall not be diving deeper into big data sources, to avoid driving readers into the IT realm nor writing on the business analytics (BA) and business intelligence (BI) processes to determine how large-scale data sets can be used. I must say that all the posts on Big Data I have published on this website-blog , including this one is to facilitate HIM / MR practitioners to have a rudimentary understanding of Big Data.

Now that HIM / MR practitioner readers  know that Big Data is out there, Frank (2013) states that “analytics is part science, part investigative work, and part assumption.” The idea is to capture as much as data the healthcare organisation deals with, so all of any data are located, included and gathered from as many data sources as possible so that the more data there will be to work with and bring all of these data into an analytics platform.

While the healthcare organisation locates, includes and gathers from as many data sources, healthcare organisations will find a vast wealth of external public information. This external data makes up the public portion of Big Data. This includes customer sentiments from research companies and social networking sites e.g Twitter, Facebook to geopolitical issues e.g. weather information and traffic pattern information, from government entities, e.g census data, and a multitude of other sources.

In the next instalment, I shall gather more information on how the multitude of sources of Healthcare Big Data must be integrated and managed to set priorities so that Big Data solutions could analyse and get the results into the right hands to improve patient care and reduce costs.

Resources:

  1. Frank JO 2013, Big Data Analytics: Turning Big Data into Big Money, Wiley and SAS Business Series, John Wiley & Sons, Inc, New Jersey, USA

JCI Standard MCI.7 – Medical Records contents sharing

Medical Records continue to be a primary source of information containing patient-specific information to provide effective care, develop treatment guidelines, determine ability to pay for care, bill third-party payers, and anonymously conduct research studies. Any hospital must maintain a medical record for each inpatient and outpatient. It needs to be available during inpatient care, for outpatient visits, and at other times as needed and it must be up to date to ensure communication of the latest information. Thus, the medical record containing medical, nursing and other patient care notes is an essential communication tool that is useful to support the continuity of the patient’s care and must always be available so that it can be shared among all of the patient’s health care practitioners at all times.

Since the Medical Record is always available to all the patient’s health care practitioners, a hospital must create written privacy policies and procedures, which clarify who has the right to access protected information, how protected information will be used within the covered entity, when protected information may be disclosed, and employees must be trained on such privacy policies and procedures to ensure confidentiality of patient information.

An example when written privacy policies and procedures must be created is epitomized  in the Health Insurance Portability and Accountability Act of 1996 (HIPAA) in the United States of America.

Electronic Medical Records (EMR) like paper based medical records, must also be available to all the patient’s health care practitioners. In order to maintain patient confidentiality, the patient’s health care practitioners must be granted need-to-know status to gain access to the EMR. However there are exceptions, like when attending and resident doctors who are involved in current treatment episodes or on an emergency basis can also gain access through a security override feature incorporated into the EMR system.

It is very important that when all of the patient’s health care practitioners and/or other employee or medical staff member are granted access to the EMR, he or she receives training on system security, appropriate access to and utilisation of patient information, password protection features, existence of audit trails and access monitoring, and consequences of inappropriate access and/or most importantly, breach of patient confidentiality.

Many hospitals also require that their employees and medical staff members sign a statement indicating that they understand the confidential nature of patient information and the need to keep the information and their password secure.

Thus, every hospital must, regardless of its level of computerisation, need to have a comprehensive information security policy which defines the hospital’s commitment to confidentiality for patients, members of the community and its employees. It provides a blueprint for defining standards and procedures and it establishes a standard of care with respect to the handling of its confidential informational resources. A confidentiality committee with the task of developing a comprehensive information security policy should be appointed by the hospital’s leaders.

The issue of confidentiality is so important so much so that a preprinted confidentiality statement on the outside of the medical records file folder usually alerts users that patient information in the medical record is confidential and cannot be removed from the facility without proper authority.

If you are a Health Information Management (HIM) / Medical Records (MR) practitioner practising at a hospital which is already Joint Commission International (JCI) accredited or seeking JCI accreditation status or undergoing re-survey for JCI accreditation status, then he or she must be aware that the JCI Standard MCI.7 requires that “The patient’s record(s) is available to the health care practitioners to facilitate the communication of essential information.”

In all instances, the HIM / MR department at any type of hospital is responsible for allowing appropriate access to patient information in support of clinical practice, health services, and medical research, while at the same time maintaining confidentiality of patient and provider data.

This is also true when the  HIM / MR department at a hospital which is already JCI accredited or seeking JCI accreditation status or undergoing re-survey for JCI accreditation status, is responsible to collect medical records selected and for allowing appropriate access to patient information in support of a Medical Records Review session.

To end, HIM / MR practitioners  please take note that the JCI Standard MCI.7 is among the five (5) JCI MCI standards within the Communication Between Practitioners Within and Outside of the Organisation block of the JCI MCI Chapter.

References:

  1. Caroline, BR & Mary, TK 2012, Textbook of basic nursing, 10th edn, Wolters Kluwer Health, Lippincott Williams & Wilkins, Philadelphia, USA
  2. Joint Commission International, 2010, Joint Commission International Accreditation Standards For Hospitals, 4th edn, JCI, USA
  3. Michelle, AG & Mary, JB 2011, Essentials of Health Information Management: Principles and Practices, 2nd edn, Delmar, Cengage Learning, NY, USA
  4. Neil, SS (ed.) 2011, Electronic Medical Records A Practical Guide for Primary Care, Humana Press, New York, USA