Tuesday, April 20, 2010

HSS5301 Electronic patient record

Electronic patient record

The Institute of Medicine (IOM) defined eight core functions or an HER

- Health information and data

- Result management

- Order management

- Decision support

- Electronic communication and connectivity

- Patient support

- Administrative processes and reporting

- Reporting and population health

8 core functions of an HER

- Health Ix and data

Defined set of data that includes items such as medical and nursing dx, medication list, allergier, demographics, clinical narratives and lat test results.

- Result management

n Computerized results can be accessed more easily by the provider at the time and place they are needed.

n Reduced time lag aloows for quicker recognitiona dn treatment of medical problems

n Automated display of previous test results makes it possible to reduce redundant and additional testing

n Better interpretation and for easier detection of abnormalities

n Imrove care coordination among multiple providers, between provider and patients.

- order management

n CPOE system can imrove workflow proceses by eliminating lost orders and ambiu=ities, generating related order automatically.

n COPE for medicaitonsl redices te nmnber of errors of medication dose and frequency, drug-allergy and drug-drug interactions.

n COPE + HER improves clinician productivity

- decision support

n CDSSs include prevention, prescribing of drugs, Dx and managements and detection of afverse events and diseases outbreaks

n Computer reminders and prompts improve preventive practices in areas such as vaccinations, breast cancer screening, colorectal screening, and cardiovascular risk reduction

- administrative processes and reporting

n scheduling system, billing and claims management

n Electronic authorization and prior approval eliminate delays

n Identify patients potentially eligible for clinical trials

n Reporting tools support drug recalls.

- reporting and population health

n reporting requirements of government for P safety and Public health

n labor-intersive and time-consuming

n reporting of key quality indicators

n public health surveillance and timely reporting of adver4se reactions and disease outbreaks

- electronic communication and connectivity

n communication among care partners can enhance patient safety and quality of care, especially for patients who have multiple providers in multiple settings and must coordinate care plans.

n Creating and population HER systems with data from lab, pharmacy, and radiology etc

n Email and web messaging facilitating communication – greater continuity of care and more timely interventions

n Fundamental to the creation of an integrated health records

- patient support

n control of chronic illness, home monitoring, data from home monitoring system merged with HER

CPRI(Computer-based Patient record Institute)

- identified three key criteria for an HER

n capture data at the point of care

n integrate data from multiple sources

n provide decision support

Paper chart vs EHR

- disadvantage of paper records

n often abbrevaitaed

n cryptic

n illegible

n must be transported from one office to another

n not easily searchable

HER – the portions of a P’s medical recods that are stored in a computer system as well as the functional benefits derived from have an electronic health record

- adv: simultaneously access at multiple stes

- esearchable by computer

- data is likely to be standard medical terms

- can be transferred electronically to another system

- Health maintenance

- Trend analysis

- Alerts

- Decision support

Forces driving the HER

- health and safety

- increasingly mobile society

- increased specialization

- internet

- readiness for change

Lab orders and resuls: status

- from beginning of the order to the review of results by the clinicians, there is the issue of order status.

- If too much time elapses between when the patient needs the test and an action is taken based on the tets results, the P’s condition could deteriorate

- To determine how much time has elapsed, the medical office must know which patients have tests pending results and when they were ordered

- The office is then a position to follow-up woth the lab or the patient.

Electronic data interchange

- standards for data transfer enable the direct import of infomraiton into ht eEHR

- HL7

n Messaging standard between healthcare ystsmes

- DICOM

n Most widely used format for sending diagnostic images

- CDISC

n Exchange standard for data used in clinical trials

- Medical devices

n Data exchange often proprietary to the particular device

HL7

- leading messaging standard used to exchange clinical and administrative data between different healthcare computer systems.

- The name of both the non-profit organization and of the standard that it developed and maintains

- Used for the communication of:

n Lab order and result;s

n Radiology reports

n Clinical observations

n Patient demographics

n Many other types of clinical data

HSS5301 Clinical Data De-identification

Clinical Data De-identification

Risk of patient privacy disclosure:

- The By-product of the technological innovations for facilitating the sharing of patient data

n WWW

n EMRS (electronic medical record systems)

n Increase connectivity between disparate medical institutions, although improving medicine

HIPPA (Health Insurance Portability and Accountability Act)

- An act passed by USA’s Congress in 1996

- Standards to protect individuals’ health information

HIPPA: 2 hurdles to de-identify data

- de-identified data must be cleared of one of the two hurdles

- Hurdle 1

n An expert must determine and document ‘that the risk is very small that the Ix could be used, alone or in combination with other reasonably available information, by an anticipated recipient to identify an individual who is a subject of the Ix.’

- Hurdle 2

n The data must be purged of a specified list of 19 categories of possible identifiers relating to the patient or relatives, household members and employers, and any other information that may make it possible to identify the individual.

Protected health information (PHI)

According to HIPAA regulation, PHI is individually identifiable health information

- Transmitted or maintained in electronic media; transmitted or maintained or in any other form or medium.

- Non PHI data: hwen P are de-idetified by removing all HIPPA-specified P-identifiers, the de-identified data set is no longer considered PHI.

- There are 19 patient identifiers (2008 version)

n Name

n All geographic subdivisions smaller than state

n For data directly related to the individual

n All ages over 89 or dates indicating such age

n Phone #

n Fax #

n Email address

n Social security #

n Medical record #

n Health plan/insurance #

n Account #

n Certificate/ license #

n Vehicle #

n Device ID

n URL

n IP

n Biomedical identifier

n Full face photo and comparable image

n Any other unique identifying number, characteristics or code;

Automatic de-identification

- HIPAA requires that de-identified data must be verified as de-identified using either statistical methods or by manual review before they are released.

- Allows the release of de-identified data:

n Without obtaining an authorization and

n Without further restriction on use or disclosure.

- need or automated de-identification

n EMRs become more common and widespread

n P data become increasingly accessible to researchers.

Automated systems:

- current system: pathology reports, medical DB

- commercial systems: De-id, de-identify

- methods

n natural languages processing (NLP)

u statistical learning: HMM, SVM, CRF, decision tree

n Complex rule sets

n Specialized dictionary or name lists

The algorithm:

Goal: to find and remove PHI from medical records while protecting the integrity of the data as much as possible.

- problems:

n Ambiguities: PHI and non-PHI can lexically overlap

u Huntington can be the name of disease (non-PHI) or the name of a person (PHI)

n Out of vocabulary PHI

u PHI can inckude misspelled and/or forign words that cannot be found in dictionaries;

u Ungrammatical text with pssible misspellings, arbitary abbreviations

Techniques and methods:

- use of clinical data in standardized format:

n HL7 message already provides well-labelled patients identifiers in report headers and lead segments

- use of regular expressions to remove numeric identifier

n remove string

n detect the 3 digit, 2digit, 4-digit pattern of a social security number

n detectstate names or abbreviations

n remove all place names, address patterns, references to location:

- refer to standard lists to remove proper names

n list of proper names

n list of clinical and common usage workd

n all proper names from open-source spell-checking dictionary

n health care provider first and last names in medical record system

n All names from the death registry

n Unified Medical Language System (UMLS)

n Medical Subject Headings (MESH) vocabulary

- Search for predictive markers that likely represent proper names.

n Proper name pre-fixes such as Mr. Mrs. And Dr

n Proper name suffixed such as MD, Jr., and PhD

n For example, when a common word such as white is found, check the words surrounding it. It ‘Mr.’ precedes it, or ‘MD’ follows it, the words White‘ is scrubbed

n Check lowercase/ uppercase ratio

u Typical names either consist of all uppercase letters, e.g. Dr Right, or are capitalized, e.g. Dr Kissinger

- l

n check number of times a term occurs in a document, i.e. term frequency

u low term frequency trends to indicate some categories of PHI

Evaluation:

- Gold standard: Human review

n Two phases:

u Hand-review a portion of the messages before they were scrubbed

u Hand review the remaining messages after they were scrubbed

n To access whether the results of the evaluation process differed depending on when the review occurred (before scrubbing vs after scrubbing).

Evaluation: totals

- The number of identifiers that the system identified for removal (success)

- The number of instances that system failed to remove identifiers (under scrubbing) (Fail)

- The number of instances when a word (or words) were removed that were not identifiers (over-scrubbing). (Fail)

Evaluation: Confusion Matrix

- Standard evaluation in NLP

- Recall

- F-measure is the weighted mean of precision and recall

Dilemma

- The ultimate goal of de-identification software is to scrub true patient identifiers while minimizing over-scrubbing

- A medical report completely scrubbed of not only all patient identifiers but all important medical data as well is of no use to researchers.

Tricky cases:

- some documents typically contain detailed patient historical information (e.g. admission notes)

n If a history is very unique, the identify of the patient could be compromised, especially when coupled with other

- despite the absence of any HIPPA identifiers, the identity of the P below are probably readily apparent

n a ‘former president of the US with Alcheimer’s disease’

n ‘An HIV-positive, 6’9 inch black male, former professional basketball player.’